Publish Ropedia Xperience-10M task baseline cards
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- PROJECT_BRIEF.md +19 -0
- PROJECT_README.md +19 -0
- PROJECT_STATUS.md +9 -0
- README.md +19 -5
- data/artifact_index.json +164 -87
- data/live_publication_status.json +264 -264
- data/mirror_parity.json +109 -109
- data/project_brief.json +21 -2
- data/project_packet.json +6 -6
- data/project_status.json +31 -7
- data/public_surface_qa.json +24 -24
- data/publication_audit.json +2 -2
- data/quality_gates.json +3 -3
- data/scope_claims_audit.json +24 -56
- data/source_alignment_audit.json +2 -2
- data/summary_metrics.json +26 -26
- data/task_surface_integrity.json +169 -169
- data/website_integrity.json +64 -46
- data/xperience10m_dataset_card_alignment.json +2 -2
- docs/data/artifact_index.json +28 -28
- docs/data/live_publication_status.json +167 -167
- docs/data/mirror_parity.json +109 -109
- docs/data/project_brief.json +19 -0
- docs/data/project_packet.json +2 -2
- docs/data/project_status.json +2 -1
- docs/data/public_surface_qa.json +10 -10
- docs/data/publication_audit.json +2 -2
- docs/data/quality_gates.json +1 -1
- docs/data/scope_claims_audit.json +24 -56
- docs/data/source_alignment_audit.json +1 -1
- docs/data/summary_metrics.json +3 -3
- docs/data/task_surface_integrity.json +169 -169
- docs/data/website_integrity.json +11 -11
- docs/data/xperience10m_dataset_card_alignment.json +1 -1
- docs/index.html +24 -6
- index.html +24 -6
- metrics/artifact_index.json +28 -28
- metrics/live_publication_status.json +167 -167
- metrics/mirror_parity.json +109 -109
- metrics/project_brief.json +19 -0
- metrics/project_packet.json +1 -1
- metrics/project_status.json +1 -0
- metrics/public_surface_qa.json +10 -10
- metrics/publication_audit.json +2 -2
- metrics/quality_gates.json +1 -1
- metrics/scope_claims_audit.json +24 -56
- metrics/source_alignment_audit.json +1 -1
- metrics/summary_metrics.json +1 -1
- metrics/task_surface_integrity.json +169 -169
- metrics/website_integrity.json +11 -11
PROJECT_BRIEF.md
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@@ -5,6 +5,25 @@ research task lab for embodied AI. It is designed to answer a practical
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question: what can be built, measured, and extended from a richly synchronized
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egocentric episode before scaling to held-out multi-episode training?
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## What Exists Now
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| Layer | Current artifact |
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question: what can be built, measured, and extended from a richly synchronized
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egocentric episode before scaling to held-out multi-episode training?
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## Research Intent
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The public sample is treated as a small but real research system. The project
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does not try to inflate one episode into a final benchmark. Instead, it shows
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the full path from data inspection to task design, baseline modeling,
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evaluation, artifact packaging, and a guarded scale-up plan. The intended
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reader should be able to audit one model input, understand each task, reproduce
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the public-sample results, and see exactly what remains before multi-episode
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model-quality claims.
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## Capability Map
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| Capability | Evidence in this project |
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| --- | --- |
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| Data understanding | `feature_manifest.json`, `available_modalities.json`, modality atlas, episode-window HF viewer |
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| Task design | 12 task contracts, task cards, case-study walkthroughs, and four research-direction extension probes |
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| Evaluation rigor | chronological split, per-task metrics, predictions, confusion matrices, leakage notes, and generated takeaways |
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| Scale-up planning | 128-episode selection/relay plan, Qwen3-Omni path, Cosmos 3 branch, and policy-model candidates after action-space conversion |
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## What Exists Now
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| Layer | Current artifact |
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PROJECT_README.md
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- What baseline models and evaluation files should exist before scaling to
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Qwen3-Omni or other multimodal foundation-model fine-tuning?
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## Start Here
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For a first pass, use [`PROJECT_BRIEF.md`](PROJECT_BRIEF.md) or the
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- What baseline models and evaluation files should exist before scaling to
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Qwen3-Omni or other multimodal foundation-model fine-tuning?
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## Why This Project Exists
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This project is organized as a compact research artifact around Xperience-10M:
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start from a real public episode, make every modality and label path inspectable,
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turn the data into concrete embodied-AI tasks, and keep the evaluation boundary
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clear while preparing the next multi-episode experiments. The emphasis is on
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research judgment as much as implementation: what the sample can show, what it
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cannot show, and what evidence should exist before claiming model quality.
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The work is designed to demonstrate four capabilities that matter for
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embodied-AI research infrastructure:
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| Capability | What this project shows |
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| --- | --- |
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| Multimodal data understanding | Parses the public sample into synchronized windows across video, audio, depth, pose/SLAM, mocap, IMU, calibration, and language-derived signals |
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| Task design | Defines 12 human-readable tasks plus four direction-extension probes with inputs, outputs, process modules, metrics, and case-study walkthroughs |
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| Model and evaluation discipline | Runs minimal and compact neural baselines, records predictions/metrics, keeps chronological split boundaries explicit, and separates sample evidence from held-out claims |
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| Scale-up planning | Connects the public-sample pipeline to 32/128-episode held-out pilots, Qwen3-Omni LoRA, Cosmos-style world-model branches, and later policy-model branches |
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## Start Here
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For a first pass, use [`PROJECT_BRIEF.md`](PROJECT_BRIEF.md) or the
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PROJECT_STATUS.md
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Xperience-10M sample, what is being staged for multi-episode training, and
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which artifacts support the next development step.
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| Area | Current state | Evidence | Research readout |
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| --- | --- | --- | --- |
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| Public-sample pipeline | Verified | `results/episode_task_suite/summary_report.json`, `results/episode_task_suite/windows.csv`, `results/episode_task_suite/feature_manifest.json` | One public Xperience-10M sample episode is converted into 5,821 frames, 1,161 aligned 20-frame windows, and an 8,546-dimensional current feature contract. |
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Xperience-10M sample, what is being staged for multi-episode training, and
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which artifacts support the next development step.
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## Research Positioning
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The project is a research-engineering study of Xperience-10M rather than a
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single demo result. It makes the public sample episode inspectable, defines
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embodied-AI tasks over synchronized modalities, records baseline behavior, and
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keeps the next multi-episode modeling stage explicit. The current evidence is
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useful for judging data understanding, task design, evaluation discipline, and
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scale-up readiness; it is not presented as final full-dataset model quality.
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| Area | Current state | Evidence | Research readout |
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| --- | --- | --- | --- |
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| Public-sample pipeline | Verified | `results/episode_task_suite/summary_report.json`, `results/episode_task_suite/windows.csv`, `results/episode_task_suite/feature_manifest.json` | One public Xperience-10M sample episode is converted into 5,821 frames, 1,161 aligned 20-frame windows, and an 8,546-dimensional current feature contract. |
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README.md
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- What baseline models and evaluation files should exist before scaling to
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Qwen3-Omni or other multimodal foundation-model fine-tuning?
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## Start Here
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For a first pass, use [`PROJECT_BRIEF.md`](PROJECT_BRIEF.md) or the
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retrieval/reconstruction probes, and why the next model-quality step needs
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held-out episodes.
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For model-repo readers, the compact **Research Takeaways** are mirrored in
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[`RESEARCH_TAKEAWAYS.md`](RESEARCH_TAKEAWAYS.md),
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[`metrics/research_takeaways.json`](metrics/research_takeaways.json), and the
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release gate summary at [`metrics/quality_gates.json`](metrics/quality_gates.json).
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-
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Current contributions:
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- manifested sliding-window features over the currently extracted modalities,
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- What baseline models and evaluation files should exist before scaling to
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Qwen3-Omni or other multimodal foundation-model fine-tuning?
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+
## Why This Project Exists
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+
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+
This project is organized as a compact research artifact around Xperience-10M:
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+
start from a real public episode, make every modality and label path inspectable,
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| 59 |
+
turn the data into concrete embodied-AI tasks, and keep the evaluation boundary
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| 60 |
+
clear while preparing the next multi-episode experiments. The emphasis is on
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+
research judgment as much as implementation: what the sample can show, what it
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+
cannot show, and what evidence should exist before claiming model quality.
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+
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+
The work is designed to demonstrate four capabilities that matter for
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+
embodied-AI research infrastructure:
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+
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+
| Capability | What this project shows |
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| --- | --- |
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+
| Multimodal data understanding | Parses the public sample into synchronized windows across video, audio, depth, pose/SLAM, mocap, IMU, calibration, and language-derived signals |
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| 70 |
+
| Task design | Defines 12 human-readable tasks plus four direction-extension probes with inputs, outputs, process modules, metrics, and case-study walkthroughs |
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+
| Model and evaluation discipline | Runs minimal and compact neural baselines, records predictions/metrics, keeps chronological split boundaries explicit, and separates sample evidence from held-out claims |
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+
| Scale-up planning | Connects the public-sample pipeline to 32/128-episode held-out pilots, Qwen3-Omni LoRA, Cosmos-style world-model branches, and later policy-model branches |
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+
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## Start Here
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For a first pass, use [`PROJECT_BRIEF.md`](PROJECT_BRIEF.md) or the
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retrieval/reconstruction probes, and why the next model-quality step needs
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held-out episodes.
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Current contributions:
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- manifested sliding-window features over the currently extracted modalities,
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data/artifact_index.json
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{
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"title": "Ropedia Xperience-10M Task Suite Artifact Index",
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"generated_at_utc": "2026-06-
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"status": "pass",
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"artifact_count":
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"missing": [],
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"by_kind": {
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"project_path":
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"project_scope": 1,
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"source_alignment": 5,
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"publication_workflow": 1,
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"evaluation_protocol": 3,
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"
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"quality_gate": 12,
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"reproducibility": 2,
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"publication_package_check": 1,
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"mirror_parity": 1,
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"integrity_report": 1,
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"metadata": 1,
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"metrics_source": 2,
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"website_data": 2,
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"data_contract": 3,
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"result_directory": 1,
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"taxonomy": 1,
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"surface": "repo_hf",
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"shows": "Gives first-pass readers a concise project shape before the detailed artifact trail.",
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"exists": true,
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"bytes":
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"id": "project_brief_json",
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"surface": "website_hf",
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"shows": "Machine-readable first-reader project brief for the website and Hugging Face mirrors.",
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"exists": true,
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"id": "project_status",
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"surface": "repo_hf",
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"shows": "Gives a compact current-state table for first-pass readers.",
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"exists": true,
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"id": "project_status_json",
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"surface": "website_hf",
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"shows": "Machine-readable copy of the current project status for website and HF mirrors.",
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"exists": true,
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"bytes":
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"id": "research_roadmap",
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"surface": "repo_hf",
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"shows": "Defines the staged path from public-sample task development to multi-episode held-out evaluation and larger omni-model extensions.",
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"exists": true,
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"surface": "website_hf",
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"shows": "Machine-readable staged roadmap for the website and Hugging Face mirrors.",
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"exists": true,
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"id": "evidence_contract",
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"surface": "repo",
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"shows": "Defines the implemented scope, setup-stage items, and multi-episode prerequisites.",
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"exists": true,
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"id": "project_packet",
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"surface": "website_hf",
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"shows": "Gives a short project path with scope status and public surfaces.",
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"id": "artifact_guide",
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"surface": "repo_hf",
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"shows": "Gives the human-readable map from project scope to data, tasks, platform mirrors, and scale-up status.",
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"id": "official_dataset_card_alignment",
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"surface": "repo_hf",
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"shows": "Aligns public dataset wording with the official gated Xperience-10M card, public sample card, HF API metadata, and current project coverage.",
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"surface": "website_hf",
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"shows": "Machine-readable upstream dataset-card, sample-card, and HF API alignment facts for website and HF mirrors.",
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"shows": "Summarizes the pass/fail check for full-dataset facts, sample-card facts, API-listing notes, and project coverage.",
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"id": "source_alignment_json",
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"shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
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"exists": true,
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"bytes": 4432,
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"surface": "repo_hf",
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"shows": "Regenerates the source-alignment report from committed facts and public card text.",
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"id": "hf_publisher",
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"surface": "repo_hf",
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"shows": "Publishes prepared Space, artifact dataset, and model bundles, including an explicit model-binary upload batch.",
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"id": "evaluation_protocol",
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"surface": "website_hf",
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"shows": "Machine-readable protocol generated from committed task metrics for website and HF mirrors.",
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"exists": true,
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"id": "evaluation_protocol_builder",
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@@ -227,8 +249,8 @@
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"surface": "repo_hf",
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"shows": "Regenerates the protocol from committed summary metrics and task artifacts.",
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"exists": true,
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-
"bytes":
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},
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{
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"id": "research_takeaways",
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@@ -238,8 +260,8 @@
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"surface": "repo_hf",
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"shows": "Summarizes the main research lessons from committed metrics and identifies which experiments need held-out episodes.",
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"exists": true,
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-
"bytes":
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},
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{
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"id": "research_takeaways_json",
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@@ -249,8 +271,8 @@
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"surface": "website_hf",
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"shows": "Machine-readable result interpretation for the website, HF cards, and mirror checks.",
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"exists": true,
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-
"bytes":
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"sha256": "
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},
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{
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"id": "research_takeaways_builder",
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@@ -260,8 +282,63 @@
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"surface": "repo_hf",
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"shows": "Regenerates the research takeaways from committed summary metrics and task result artifacts.",
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"exists": true,
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-
"bytes":
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-
"sha256": "
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},
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{
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"id": "figure_index",
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@@ -272,7 +349,7 @@
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"shows": "Catalogs public figures, charts, modality thumbnails, dimensions, hashes, roles, and source scripts.",
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"exists": true,
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"bytes": 4712,
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-
"sha256": "
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},
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{
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"id": "figure_index_json",
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@@ -283,7 +360,7 @@
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"shows": "Machine-readable visual asset index for website and Hugging Face mirrors.",
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"exists": true,
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"bytes": 13434,
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-
"sha256": "
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},
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{
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"id": "figure_index_builder",
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@@ -337,8 +414,8 @@
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"surface": "repo_hf",
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| 338 |
"shows": "Lists the automated and post-publish checks used to keep the release current.",
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"exists": true,
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-
"bytes":
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-
"sha256": "
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},
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{
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"id": "quality_gate_manifest",
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@@ -348,8 +425,8 @@
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"surface": "website_hf",
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| 349 |
"shows": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
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"exists": true,
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-
"bytes":
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-
"sha256": "
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},
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{
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"id": "public_surface_qa",
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@@ -371,7 +448,7 @@
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"volatile": true,
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"shows": "Machine-readable report for SEO/social metadata, accessible tab semantics, public links, project links, and reader-facing copy.",
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"exists": true,
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-
"bytes":
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"hash_policy": "existence_and_size_only"
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},
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| 377 |
{
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@@ -382,8 +459,8 @@
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| 382 |
"surface": "repo_hf",
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| 383 |
"shows": "Regenerates the public project-surface report before release.",
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| 384 |
"exists": true,
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-
"bytes":
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-
"sha256": "
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},
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{
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"id": "task_surface_integrity",
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@@ -394,7 +471,7 @@
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"volatile": true,
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| 395 |
"shows": "Confirms the public 12-task cards use human-readable research names, representative modality thumbnails, and the interactive walkthrough/player JSON contract.",
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"exists": true,
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-
"bytes":
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"hash_policy": "existence_and_size_only"
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},
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{
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@@ -452,7 +529,7 @@
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| 452 |
"volatile": true,
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| 453 |
"shows": "Records the last live GitHub/HF URL verification after upload.",
|
| 454 |
"exists": true,
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| 455 |
-
"bytes":
|
| 456 |
"hash_policy": "existence_and_size_only"
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| 457 |
},
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| 458 |
{
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@@ -463,8 +540,8 @@
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| 463 |
"surface": "repo",
|
| 464 |
"shows": "Fetches the published GitHub/HF URLs and compares live hashes and public-card markers against the release assets.",
|
| 465 |
"exists": true,
|
| 466 |
-
"bytes":
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-
"sha256": "
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| 468 |
},
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| 469 |
{
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| 470 |
"id": "reproducibility_contract",
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@@ -474,8 +551,8 @@
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| 474 |
"surface": "repo_hf",
|
| 475 |
"shows": "Defines public reproduction commands, expected outputs, and non-reproducible scale-up boundaries.",
|
| 476 |
"exists": true,
|
| 477 |
-
"bytes":
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-
"sha256": "
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},
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| 480 |
{
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| 481 |
"id": "reproducibility_matrix",
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@@ -485,8 +562,8 @@
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| 485 |
"surface": "website_hf",
|
| 486 |
"shows": "Machine-readable reproduction steps with expected artifacts and public boundaries.",
|
| 487 |
"exists": true,
|
| 488 |
-
"bytes":
|
| 489 |
-
"sha256": "
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| 490 |
},
|
| 491 |
{
|
| 492 |
"id": "artifact_index_builder",
|
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@@ -496,8 +573,8 @@
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|
| 496 |
"surface": "repo_hf",
|
| 497 |
"shows": "Generates the selective artifact catalog from local files.",
|
| 498 |
"exists": true,
|
| 499 |
-
"bytes":
|
| 500 |
-
"sha256": "
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| 501 |
},
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| 502 |
{
|
| 503 |
"id": "publication_audit",
|
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@@ -508,7 +585,7 @@
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|
| 508 |
"volatile": true,
|
| 509 |
"shows": "Confirms public bundles exclude raw data, caches, heavy archives, and token strings.",
|
| 510 |
"exists": true,
|
| 511 |
-
"bytes":
|
| 512 |
"hash_policy": "existence_and_size_only"
|
| 513 |
},
|
| 514 |
{
|
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@@ -518,9 +595,9 @@
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|
| 518 |
"kind": "scale_up_status",
|
| 519 |
"surface": "website_hf",
|
| 520 |
"volatile": true,
|
| 521 |
-
"shows": "
|
| 522 |
"exists": true,
|
| 523 |
-
"bytes":
|
| 524 |
"hash_policy": "existence_and_size_only"
|
| 525 |
},
|
| 526 |
{
|
|
@@ -532,7 +609,7 @@
|
|
| 532 |
"volatile": true,
|
| 533 |
"shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
|
| 534 |
"exists": true,
|
| 535 |
-
"bytes":
|
| 536 |
"hash_policy": "existence_and_size_only"
|
| 537 |
},
|
| 538 |
{
|
|
@@ -544,7 +621,7 @@
|
|
| 544 |
"volatile": true,
|
| 545 |
"shows": "Confirms local website links, anchors, JSON data files, and referenced images resolve.",
|
| 546 |
"exists": true,
|
| 547 |
-
"bytes":
|
| 548 |
"hash_policy": "existence_and_size_only"
|
| 549 |
},
|
| 550 |
{
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@@ -555,8 +632,8 @@
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|
| 555 |
"surface": "website_hf",
|
| 556 |
"shows": "Lists public URLs, upstream sources, and machine-readable project metadata.",
|
| 557 |
"exists": true,
|
| 558 |
-
"bytes":
|
| 559 |
-
"sha256": "
|
| 560 |
},
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| 561 |
{
|
| 562 |
"id": "task_summary",
|
|
@@ -577,8 +654,8 @@
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|
| 577 |
"surface": "website_hf",
|
| 578 |
"shows": "Mirrors task metrics for the static dashboard.",
|
| 579 |
"exists": true,
|
| 580 |
-
"bytes":
|
| 581 |
-
"sha256": "
|
| 582 |
},
|
| 583 |
{
|
| 584 |
"id": "feature_manifest",
|
|
@@ -622,7 +699,7 @@
|
|
| 622 |
"shows": "Stores matching PyTorch MLP results for the 12 task contracts.",
|
| 623 |
"exists": true,
|
| 624 |
"file_count": 60,
|
| 625 |
-
"bytes":
|
| 626 |
},
|
| 627 |
{
|
| 628 |
"id": "research_direction_taxonomy",
|
|
@@ -632,8 +709,8 @@
|
|
| 632 |
"surface": "repo_hf",
|
| 633 |
"shows": "Maps the 12 tasks to the four Ropedia research directions as direct/proxy/diagnostic.",
|
| 634 |
"exists": true,
|
| 635 |
-
"bytes":
|
| 636 |
-
"sha256": "
|
| 637 |
},
|
| 638 |
{
|
| 639 |
"id": "research_direction_extensions",
|
|
@@ -643,8 +720,8 @@
|
|
| 643 |
"surface": "repo_hf",
|
| 644 |
"shows": "Stores one coded extension probe per research direction with minimal and neural metrics.",
|
| 645 |
"exists": true,
|
| 646 |
-
"bytes":
|
| 647 |
-
"sha256": "
|
| 648 |
},
|
| 649 |
{
|
| 650 |
"id": "task_walkthroughs",
|
|
@@ -654,8 +731,8 @@
|
|
| 654 |
"surface": "repo_hf",
|
| 655 |
"shows": "Explains every task with case study, input, process modules, output, and limitation.",
|
| 656 |
"exists": true,
|
| 657 |
-
"bytes":
|
| 658 |
-
"sha256": "
|
| 659 |
},
|
| 660 |
{
|
| 661 |
"id": "task_suite_infographic",
|
|
@@ -676,8 +753,8 @@
|
|
| 676 |
"surface": "website_hf",
|
| 677 |
"shows": "Documents the seven public-sample modality cards and their derived thumbnail assets.",
|
| 678 |
"exists": true,
|
| 679 |
-
"bytes":
|
| 680 |
-
"sha256": "
|
| 681 |
},
|
| 682 |
{
|
| 683 |
"id": "modality_thumbnails",
|
|
@@ -718,10 +795,10 @@
|
|
| 718 |
"path": "results/omni_finetune/DATA_ACCESS_STATUS.md",
|
| 719 |
"kind": "scaleup_status",
|
| 720 |
"surface": "repo_hf",
|
| 721 |
-
"shows": "Summarizes the
|
| 722 |
"exists": true,
|
| 723 |
-
"bytes":
|
| 724 |
-
"sha256": "
|
| 725 |
},
|
| 726 |
{
|
| 727 |
"id": "multi_episode_access_status",
|
|
@@ -731,8 +808,8 @@
|
|
| 731 |
"surface": "repo_hf",
|
| 732 |
"shows": "Documents the public multi-episode access status and 32-episode pilot selection.",
|
| 733 |
"exists": true,
|
| 734 |
-
"bytes":
|
| 735 |
-
"sha256": "
|
| 736 |
},
|
| 737 |
{
|
| 738 |
"id": "citation",
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Task Suite Artifact Index",
|
| 3 |
+
"generated_at_utc": "2026-06-03T20:37:04+00:00",
|
| 4 |
"status": "pass",
|
| 5 |
+
"artifact_count": 72,
|
| 6 |
"missing": [],
|
| 7 |
"by_kind": {
|
| 8 |
+
"project_path": 11,
|
| 9 |
"project_scope": 1,
|
| 10 |
"source_alignment": 5,
|
| 11 |
"publication_workflow": 1,
|
| 12 |
"evaluation_protocol": 3,
|
| 13 |
+
"result_interpretation": 5,
|
| 14 |
+
"metrics_source": 3,
|
| 15 |
+
"website_data": 3,
|
| 16 |
+
"visual_evidence": 7,
|
| 17 |
"quality_gate": 12,
|
| 18 |
"reproducibility": 2,
|
| 19 |
"publication_package_check": 1,
|
|
|
|
| 21 |
"mirror_parity": 1,
|
| 22 |
"integrity_report": 1,
|
| 23 |
"metadata": 1,
|
|
|
|
|
|
|
| 24 |
"data_contract": 3,
|
| 25 |
"result_directory": 1,
|
| 26 |
"taxonomy": 1,
|
|
|
|
| 40 |
"surface": "repo_hf",
|
| 41 |
"shows": "Gives first-pass readers a concise project shape before the detailed artifact trail.",
|
| 42 |
"exists": true,
|
| 43 |
+
"bytes": 3615,
|
| 44 |
+
"sha256": "a40c2119e5c4125c2ee8eaa725f373ae286ff3ec34c19638f54db1c616accebc"
|
| 45 |
},
|
| 46 |
{
|
| 47 |
"id": "project_brief_json",
|
|
|
|
| 51 |
"surface": "website_hf",
|
| 52 |
"shows": "Machine-readable first-reader project brief for the website and Hugging Face mirrors.",
|
| 53 |
"exists": true,
|
| 54 |
+
"bytes": 3645,
|
| 55 |
+
"sha256": "66056460f2d93691d19e9af2f47acb57bab561f3b2697884549d144569b70fa7"
|
| 56 |
},
|
| 57 |
{
|
| 58 |
"id": "project_status",
|
|
|
|
| 62 |
"surface": "repo_hf",
|
| 63 |
"shows": "Gives a compact current-state table for first-pass readers.",
|
| 64 |
"exists": true,
|
| 65 |
+
"bytes": 7200,
|
| 66 |
+
"sha256": "8c9e744fd2019a547831ae62fc6b7d7421c356c1199a3248e7399f49e3e97acf"
|
| 67 |
},
|
| 68 |
{
|
| 69 |
"id": "project_status_json",
|
|
|
|
| 73 |
"surface": "website_hf",
|
| 74 |
"shows": "Machine-readable copy of the current project status for website and HF mirrors.",
|
| 75 |
"exists": true,
|
| 76 |
+
"bytes": 9233,
|
| 77 |
+
"sha256": "f74b7265bebf28cf23688e81ea9aa392488ac110dcd9a8c9ebafb7f52935db35"
|
| 78 |
},
|
| 79 |
{
|
| 80 |
"id": "research_roadmap",
|
|
|
|
| 84 |
"surface": "repo_hf",
|
| 85 |
"shows": "Defines the staged path from public-sample task development to multi-episode held-out evaluation and larger omni-model extensions.",
|
| 86 |
"exists": true,
|
| 87 |
+
"bytes": 6645,
|
| 88 |
+
"sha256": "b8bebfded058cc2e3f9c918d99600c878f015da08861801fb3ebae73b85fdc57"
|
| 89 |
},
|
| 90 |
{
|
| 91 |
"id": "research_roadmap_json",
|
|
|
|
| 95 |
"surface": "website_hf",
|
| 96 |
"shows": "Machine-readable staged roadmap for the website and Hugging Face mirrors.",
|
| 97 |
"exists": true,
|
| 98 |
+
"bytes": 5726,
|
| 99 |
+
"sha256": "903ec0d6104c092fa0356c7741134fee4a1c78f3b0517001c49ce11f8077d6e2"
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"id": "foundation_model_plan",
|
| 103 |
+
"title": "Foundation model plan",
|
| 104 |
+
"path": "FOUNDATION_MODEL_PLAN.md",
|
| 105 |
+
"kind": "project_path",
|
| 106 |
+
"surface": "repo_hf",
|
| 107 |
+
"shows": "Defines the post-data-gate backbone choices: Qwen3-Omni first, Cosmos 3 for world modeling, and VLA/policy models after action-target conversion.",
|
| 108 |
+
"exists": true,
|
| 109 |
+
"bytes": 6545,
|
| 110 |
+
"sha256": "f7d35f38db371d52b5bb92e59b951b93946c425fe12bf283f69f869a45a5c60f"
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"id": "foundation_model_plan_json",
|
| 114 |
+
"title": "Foundation model plan JSON",
|
| 115 |
+
"path": "docs/data/foundation_model_plan.json",
|
| 116 |
+
"kind": "project_path",
|
| 117 |
+
"surface": "website_hf",
|
| 118 |
+
"shows": "Machine-readable foundation-model selection matrix with source links, entry conditions, and evaluation additions.",
|
| 119 |
+
"exists": true,
|
| 120 |
+
"bytes": 8880,
|
| 121 |
+
"sha256": "a11476cc697e7bc2c29b3db569d059c8f536025fdd0b47e49f060a88664fd450"
|
| 122 |
},
|
| 123 |
{
|
| 124 |
"id": "evidence_contract",
|
|
|
|
| 128 |
"surface": "repo",
|
| 129 |
"shows": "Defines the implemented scope, setup-stage items, and multi-episode prerequisites.",
|
| 130 |
"exists": true,
|
| 131 |
+
"bytes": 11287,
|
| 132 |
+
"sha256": "46b03a5c31ec31476c0476b11bc72375d786a5e8ea11fcba81e1500a0e50b9b8"
|
| 133 |
},
|
| 134 |
{
|
| 135 |
"id": "project_packet",
|
|
|
|
| 139 |
"surface": "website_hf",
|
| 140 |
"shows": "Gives a short project path with scope status and public surfaces.",
|
| 141 |
"exists": true,
|
| 142 |
+
"bytes": 7722,
|
| 143 |
+
"sha256": "06aa7bc21ee856c3d99cb95e30bb6f376eb8deed4289774740af4b9ed353749f"
|
| 144 |
},
|
| 145 |
{
|
| 146 |
"id": "artifact_guide",
|
|
|
|
| 150 |
"surface": "repo_hf",
|
| 151 |
"shows": "Gives the human-readable map from project scope to data, tasks, platform mirrors, and scale-up status.",
|
| 152 |
"exists": true,
|
| 153 |
+
"bytes": 16876,
|
| 154 |
+
"sha256": "6b392ff36290f8eefab393218c17aff4d90ba28457324089f78e7a4882b17dbc"
|
| 155 |
},
|
| 156 |
{
|
| 157 |
"id": "official_dataset_card_alignment",
|
|
|
|
| 161 |
"surface": "repo_hf",
|
| 162 |
"shows": "Aligns public dataset wording with the official gated Xperience-10M card, public sample card, HF API metadata, and current project coverage.",
|
| 163 |
"exists": true,
|
| 164 |
+
"bytes": 10625,
|
| 165 |
+
"sha256": "9e51442cb13cb4074d73fb212b49c56e6e4ae6dea10fd135a4020f7488e49be0"
|
| 166 |
},
|
| 167 |
{
|
| 168 |
"id": "official_dataset_card_alignment_json",
|
|
|
|
| 172 |
"surface": "website_hf",
|
| 173 |
"shows": "Machine-readable upstream dataset-card, sample-card, and HF API alignment facts for website and HF mirrors.",
|
| 174 |
"exists": true,
|
| 175 |
+
"bytes": 7559,
|
| 176 |
+
"sha256": "417e65746724c87cbf1cd40f6451f1f6fe6098f60ba0b1c24d11e718fc86e257"
|
| 177 |
},
|
| 178 |
{
|
| 179 |
"id": "source_alignment",
|
|
|
|
| 184 |
"shows": "Summarizes the pass/fail check for full-dataset facts, sample-card facts, API-listing notes, and project coverage.",
|
| 185 |
"exists": true,
|
| 186 |
"bytes": 2309,
|
| 187 |
+
"sha256": "9950b526c18ff184ea8ab1c38a12c8aec3fa363a66db1099d9c36063c3634be9"
|
| 188 |
},
|
| 189 |
{
|
| 190 |
"id": "source_alignment_json",
|
|
|
|
| 195 |
"shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
|
| 196 |
"exists": true,
|
| 197 |
"bytes": 4432,
|
| 198 |
+
"sha256": "8d9707786cf4d48c7c7cbb13e9dbc915d9da39aeeeb6549e6a1f6d6ea426f890"
|
| 199 |
},
|
| 200 |
{
|
| 201 |
"id": "source_alignment_validator",
|
|
|
|
| 205 |
"surface": "repo_hf",
|
| 206 |
"shows": "Regenerates the source-alignment report from committed facts and public card text.",
|
| 207 |
"exists": true,
|
| 208 |
+
"bytes": 15831,
|
| 209 |
+
"sha256": "6f48190ca77dd6ba9dd2f821d5ace7e33bd9b4d9d76adb7237cc51ddb88de239"
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| 210 |
},
|
| 211 |
{
|
| 212 |
"id": "hf_publisher",
|
|
|
|
| 216 |
"surface": "repo_hf",
|
| 217 |
"shows": "Publishes prepared Space, artifact dataset, and model bundles, including an explicit model-binary upload batch.",
|
| 218 |
"exists": true,
|
| 219 |
+
"bytes": 15901,
|
| 220 |
+
"sha256": "60f27a4d32c48e6960445bfafe917ce30d6a43211153146a52ae068f051de4e8"
|
| 221 |
},
|
| 222 |
{
|
| 223 |
"id": "evaluation_protocol",
|
|
|
|
| 238 |
"surface": "website_hf",
|
| 239 |
"shows": "Machine-readable protocol generated from committed task metrics for website and HF mirrors.",
|
| 240 |
"exists": true,
|
| 241 |
+
"bytes": 13686,
|
| 242 |
+
"sha256": "a2a35bd3b05e228c99c5ef7cc002c84708dcaff893cd01d51b011dadbf2c02c4"
|
| 243 |
},
|
| 244 |
{
|
| 245 |
"id": "evaluation_protocol_builder",
|
|
|
|
| 249 |
"surface": "repo_hf",
|
| 250 |
"shows": "Regenerates the protocol from committed summary metrics and task artifacts.",
|
| 251 |
"exists": true,
|
| 252 |
+
"bytes": 16139,
|
| 253 |
+
"sha256": "e2aaac38f451402971e03c004d32d5c5f8a05d67dc1820d6bf9b12d1da1a292f"
|
| 254 |
},
|
| 255 |
{
|
| 256 |
"id": "research_takeaways",
|
|
|
|
| 260 |
"surface": "repo_hf",
|
| 261 |
"shows": "Summarizes the main research lessons from committed metrics and identifies which experiments need held-out episodes.",
|
| 262 |
"exists": true,
|
| 263 |
+
"bytes": 4889,
|
| 264 |
+
"sha256": "1f688343561501898fdc615f8ac67ac1ae64fc2acc4290b3a17a5b4f0c732b99"
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| 265 |
},
|
| 266 |
{
|
| 267 |
"id": "research_takeaways_json",
|
|
|
|
| 271 |
"surface": "website_hf",
|
| 272 |
"shows": "Machine-readable result interpretation for the website, HF cards, and mirror checks.",
|
| 273 |
"exists": true,
|
| 274 |
+
"bytes": 6821,
|
| 275 |
+
"sha256": "509d8690a4854097ea45af635dafa0231efa11838f1bb1f9cb338e99009a0206"
|
| 276 |
},
|
| 277 |
{
|
| 278 |
"id": "research_takeaways_builder",
|
|
|
|
| 282 |
"surface": "repo_hf",
|
| 283 |
"shows": "Regenerates the research takeaways from committed summary metrics and task result artifacts.",
|
| 284 |
"exists": true,
|
| 285 |
+
"bytes": 13285,
|
| 286 |
+
"sha256": "19baa1dbe3e4454e040bb1b2fc711e1dd5ce5280ee19bfc01b01cca854006d38"
|
| 287 |
+
},
|
| 288 |
+
{
|
| 289 |
+
"id": "audio_ablation_script",
|
| 290 |
+
"title": "Audio contribution script",
|
| 291 |
+
"path": "scripts/audio_ablation_and_raw_upgrade.py",
|
| 292 |
+
"kind": "result_interpretation",
|
| 293 |
+
"surface": "repo_hf",
|
| 294 |
+
"shows": "Measures audio contribution variants across all 12 task contracts.",
|
| 295 |
+
"exists": true,
|
| 296 |
+
"bytes": 43144,
|
| 297 |
+
"sha256": "f7e3a38ec906dac7ca55b13c49720bd41ed89a1fd994c7d54730a4de5dfd1b59"
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"id": "audio_ablation_summary",
|
| 301 |
+
"title": "Audio ablation summary",
|
| 302 |
+
"path": "results/audio_ablation/audio_ablation_summary.json",
|
| 303 |
+
"kind": "metrics_source",
|
| 304 |
+
"surface": "repo_hf",
|
| 305 |
+
"shows": "Stores per-task audio deltas for all current features, no-audio, audio-only, alternate-audio-only, replacement, and all-plus-alternate variants.",
|
| 306 |
+
"exists": true,
|
| 307 |
+
"bytes": 9735,
|
| 308 |
+
"sha256": "514370c53baeb51373160bbd5ab7f5f0de7733301bf1b82981ed799aec41152a"
|
| 309 |
+
},
|
| 310 |
+
{
|
| 311 |
+
"id": "audio_ablation_summary_md",
|
| 312 |
+
"title": "Audio ablation summary report",
|
| 313 |
+
"path": "results/audio_ablation/AUDIO_ABLATION_SUMMARY.md",
|
| 314 |
+
"kind": "result_interpretation",
|
| 315 |
+
"surface": "repo_hf",
|
| 316 |
+
"shows": "Human-readable table showing the measured audio contribution and alternate-representation delta for every task.",
|
| 317 |
+
"exists": true,
|
| 318 |
+
"bytes": 2166,
|
| 319 |
+
"sha256": "9318bc55b1b051c384ce2fd6e7cd0a56becfa00185a0b597fdc474a40b1f17f9"
|
| 320 |
+
},
|
| 321 |
+
{
|
| 322 |
+
"id": "audio_ablation_website_json",
|
| 323 |
+
"title": "Audio ablation website JSON",
|
| 324 |
+
"path": "docs/data/audio_ablation_summary.json",
|
| 325 |
+
"kind": "website_data",
|
| 326 |
+
"surface": "website_hf",
|
| 327 |
+
"shows": "Machine-readable audio ablation summary mirrored into the static website and Hugging Face bundles.",
|
| 328 |
+
"exists": true,
|
| 329 |
+
"bytes": 9701,
|
| 330 |
+
"sha256": "7debd9e67b7df09322d743193bf8b785277a992c9e8c82c08c7a36c4e066e6de"
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"id": "audio_ablation_delta_chart",
|
| 334 |
+
"title": "Audio ablation delta chart",
|
| 335 |
+
"path": "docs/assets/charts/audio_ablation_delta.svg",
|
| 336 |
+
"kind": "visual_evidence",
|
| 337 |
+
"surface": "website_hf",
|
| 338 |
+
"shows": "Bar chart of measured current-audio primary-metric deltas across the 12 tasks.",
|
| 339 |
+
"exists": true,
|
| 340 |
+
"bytes": 4146,
|
| 341 |
+
"sha256": "187dbabe01f9ff18841ff61a1e7fbf85bebdd188cc0f248bb5090d64528e7568"
|
| 342 |
},
|
| 343 |
{
|
| 344 |
"id": "figure_index",
|
|
|
|
| 349 |
"shows": "Catalogs public figures, charts, modality thumbnails, dimensions, hashes, roles, and source scripts.",
|
| 350 |
"exists": true,
|
| 351 |
"bytes": 4712,
|
| 352 |
+
"sha256": "bc1e1b695649270c64f654aa260c9d52cfc372a765ca6c993ef07145e8050f6e"
|
| 353 |
},
|
| 354 |
{
|
| 355 |
"id": "figure_index_json",
|
|
|
|
| 360 |
"shows": "Machine-readable visual asset index for website and Hugging Face mirrors.",
|
| 361 |
"exists": true,
|
| 362 |
"bytes": 13434,
|
| 363 |
+
"sha256": "1a28548d2838b5a5ea9464761ccb73a3e55d6d48dd4c68d321f056bfdc4ad560"
|
| 364 |
},
|
| 365 |
{
|
| 366 |
"id": "figure_index_builder",
|
|
|
|
| 414 |
"surface": "repo_hf",
|
| 415 |
"shows": "Lists the automated and post-publish checks used to keep the release current.",
|
| 416 |
"exists": true,
|
| 417 |
+
"bytes": 4901,
|
| 418 |
+
"sha256": "7426ef148491d7288161a8d13cf31e81d5351ab1c920614a59b06888889c97d3"
|
| 419 |
},
|
| 420 |
{
|
| 421 |
"id": "quality_gate_manifest",
|
|
|
|
| 425 |
"surface": "website_hf",
|
| 426 |
"shows": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
|
| 427 |
"exists": true,
|
| 428 |
+
"bytes": 8118,
|
| 429 |
+
"sha256": "595b2e050028b612b57ecfb5086c66bdf5040be90250430537cbd9e1b9c09e76"
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| 430 |
},
|
| 431 |
{
|
| 432 |
"id": "public_surface_qa",
|
|
|
|
| 448 |
"volatile": true,
|
| 449 |
"shows": "Machine-readable report for SEO/social metadata, accessible tab semantics, public links, project links, and reader-facing copy.",
|
| 450 |
"exists": true,
|
| 451 |
+
"bytes": 5631,
|
| 452 |
"hash_policy": "existence_and_size_only"
|
| 453 |
},
|
| 454 |
{
|
|
|
|
| 459 |
"surface": "repo_hf",
|
| 460 |
"shows": "Regenerates the public project-surface report before release.",
|
| 461 |
"exists": true,
|
| 462 |
+
"bytes": 11872,
|
| 463 |
+
"sha256": "3ec688d5262d099b480bda674b858834d5d66b8085c0777a2435e58279f37d9d"
|
| 464 |
},
|
| 465 |
{
|
| 466 |
"id": "task_surface_integrity",
|
|
|
|
| 471 |
"volatile": true,
|
| 472 |
"shows": "Confirms the public 12-task cards use human-readable research names, representative modality thumbnails, and the interactive walkthrough/player JSON contract.",
|
| 473 |
"exists": true,
|
| 474 |
+
"bytes": 45779,
|
| 475 |
"hash_policy": "existence_and_size_only"
|
| 476 |
},
|
| 477 |
{
|
|
|
|
| 529 |
"volatile": true,
|
| 530 |
"shows": "Records the last live GitHub/HF URL verification after upload.",
|
| 531 |
"exists": true,
|
| 532 |
+
"bytes": 68749,
|
| 533 |
"hash_policy": "existence_and_size_only"
|
| 534 |
},
|
| 535 |
{
|
|
|
|
| 540 |
"surface": "repo",
|
| 541 |
"shows": "Fetches the published GitHub/HF URLs and compares live hashes and public-card markers against the release assets.",
|
| 542 |
"exists": true,
|
| 543 |
+
"bytes": 34779,
|
| 544 |
+
"sha256": "73c45e1ae1b7509b9f2c54cf42424c9ac0aab8a9e54be58fc488eaa2a696acc7"
|
| 545 |
},
|
| 546 |
{
|
| 547 |
"id": "reproducibility_contract",
|
|
|
|
| 551 |
"surface": "repo_hf",
|
| 552 |
"shows": "Defines public reproduction commands, expected outputs, and non-reproducible scale-up boundaries.",
|
| 553 |
"exists": true,
|
| 554 |
+
"bytes": 6346,
|
| 555 |
+
"sha256": "48d82bbdfeba88a63100f55e19ef7e1392c0e633b5f3f0c648444f9ed1c96e02"
|
| 556 |
},
|
| 557 |
{
|
| 558 |
"id": "reproducibility_matrix",
|
|
|
|
| 562 |
"surface": "website_hf",
|
| 563 |
"shows": "Machine-readable reproduction steps with expected artifacts and public boundaries.",
|
| 564 |
"exists": true,
|
| 565 |
+
"bytes": 5229,
|
| 566 |
+
"sha256": "928eb95b95d4028a7f21135584c37ff141833e26178cc918a874a6448f8c5ded"
|
| 567 |
},
|
| 568 |
{
|
| 569 |
"id": "artifact_index_builder",
|
|
|
|
| 573 |
"surface": "repo_hf",
|
| 574 |
"shows": "Generates the selective artifact catalog from local files.",
|
| 575 |
"exists": true,
|
| 576 |
+
"bytes": 26566,
|
| 577 |
+
"sha256": "982fcc36e6dfda3382662d1f1e1f539f27f45aaddd6503aad77a14145bcc1bf6"
|
| 578 |
},
|
| 579 |
{
|
| 580 |
"id": "publication_audit",
|
|
|
|
| 585 |
"volatile": true,
|
| 586 |
"shows": "Confirms public bundles exclude raw data, caches, heavy archives, and token strings.",
|
| 587 |
"exists": true,
|
| 588 |
+
"bytes": 7289,
|
| 589 |
"hash_policy": "existence_and_size_only"
|
| 590 |
},
|
| 591 |
{
|
|
|
|
| 595 |
"kind": "scale_up_status",
|
| 596 |
"surface": "website_hf",
|
| 597 |
"volatile": true,
|
| 598 |
+
"shows": "Separates setup paths from completed held-out-episode results.",
|
| 599 |
"exists": true,
|
| 600 |
+
"bytes": 19226,
|
| 601 |
"hash_policy": "existence_and_size_only"
|
| 602 |
},
|
| 603 |
{
|
|
|
|
| 609 |
"volatile": true,
|
| 610 |
"shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
|
| 611 |
"exists": true,
|
| 612 |
+
"bytes": 108609,
|
| 613 |
"hash_policy": "existence_and_size_only"
|
| 614 |
},
|
| 615 |
{
|
|
|
|
| 621 |
"volatile": true,
|
| 622 |
"shows": "Confirms local website links, anchors, JSON data files, and referenced images resolve.",
|
| 623 |
"exists": true,
|
| 624 |
+
"bytes": 14718,
|
| 625 |
"hash_policy": "existence_and_size_only"
|
| 626 |
},
|
| 627 |
{
|
|
|
|
| 632 |
"surface": "website_hf",
|
| 633 |
"shows": "Lists public URLs, upstream sources, and machine-readable project metadata.",
|
| 634 |
"exists": true,
|
| 635 |
+
"bytes": 4643,
|
| 636 |
+
"sha256": "b02ca0064bb6eea07abdcf4ff4aacde06a291f94679b79ca599052848a269b49"
|
| 637 |
},
|
| 638 |
{
|
| 639 |
"id": "task_summary",
|
|
|
|
| 654 |
"surface": "website_hf",
|
| 655 |
"shows": "Mirrors task metrics for the static dashboard.",
|
| 656 |
"exists": true,
|
| 657 |
+
"bytes": 25369,
|
| 658 |
+
"sha256": "884c9caf1517126f4c93b5c903121d29806922ecbd42bc2c34e2e568b9af83e3"
|
| 659 |
},
|
| 660 |
{
|
| 661 |
"id": "feature_manifest",
|
|
|
|
| 699 |
"shows": "Stores matching PyTorch MLP results for the 12 task contracts.",
|
| 700 |
"exists": true,
|
| 701 |
"file_count": 60,
|
| 702 |
+
"bytes": 90608884
|
| 703 |
},
|
| 704 |
{
|
| 705 |
"id": "research_direction_taxonomy",
|
|
|
|
| 709 |
"surface": "repo_hf",
|
| 710 |
"shows": "Maps the 12 tasks to the four Ropedia research directions as direct/proxy/diagnostic.",
|
| 711 |
"exists": true,
|
| 712 |
+
"bytes": 14414,
|
| 713 |
+
"sha256": "7215681c55a6739da7f16d833f62fcb8f6d58069840963182e98427eaf0cf654"
|
| 714 |
},
|
| 715 |
{
|
| 716 |
"id": "research_direction_extensions",
|
|
|
|
| 720 |
"surface": "repo_hf",
|
| 721 |
"shows": "Stores one coded extension probe per research direction with minimal and neural metrics.",
|
| 722 |
"exists": true,
|
| 723 |
+
"bytes": 11903,
|
| 724 |
+
"sha256": "010e254b61de6cc199e8e710fb10d8304c8156835f5cbafb79202996a74c0c77"
|
| 725 |
},
|
| 726 |
{
|
| 727 |
"id": "task_walkthroughs",
|
|
|
|
| 731 |
"surface": "repo_hf",
|
| 732 |
"shows": "Explains every task with case study, input, process modules, output, and limitation.",
|
| 733 |
"exists": true,
|
| 734 |
+
"bytes": 15436,
|
| 735 |
+
"sha256": "de8607242ca8c5c1c632f7175eeffd0c009536eb050614bfae2ff561e14cd92d"
|
| 736 |
},
|
| 737 |
{
|
| 738 |
"id": "task_suite_infographic",
|
|
|
|
| 753 |
"surface": "website_hf",
|
| 754 |
"shows": "Documents the seven public-sample modality cards and their derived thumbnail assets.",
|
| 755 |
"exists": true,
|
| 756 |
+
"bytes": 3797,
|
| 757 |
+
"sha256": "4f12a5471d4fe53b1f5c1ef6f9535cc14974690fa6ffbfbeddc8e1b90f86b281"
|
| 758 |
},
|
| 759 |
{
|
| 760 |
"id": "modality_thumbnails",
|
|
|
|
| 795 |
"path": "results/omni_finetune/DATA_ACCESS_STATUS.md",
|
| 796 |
"kind": "scaleup_status",
|
| 797 |
"surface": "repo_hf",
|
| 798 |
+
"shows": "Summarizes the staging requirement before the held-out Qwen3-Omni pilot can report metrics.",
|
| 799 |
"exists": true,
|
| 800 |
+
"bytes": 3142,
|
| 801 |
+
"sha256": "e55fbb9cadb6eb50fca8d787156e603067e99710b9b4c8efeafb638e5ea9064c"
|
| 802 |
},
|
| 803 |
{
|
| 804 |
"id": "multi_episode_access_status",
|
|
|
|
| 808 |
"surface": "repo_hf",
|
| 809 |
"shows": "Documents the public multi-episode access status and 32-episode pilot selection.",
|
| 810 |
"exists": true,
|
| 811 |
+
"bytes": 2532,
|
| 812 |
+
"sha256": "7881cfca4a2b33712f52c55edea0db54b417169fff4fce636c1c7709ba43b95d"
|
| 813 |
},
|
| 814 |
{
|
| 815 |
"id": "citation",
|
data/live_publication_status.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Live Publication Status",
|
| 3 |
"status": "pass",
|
| 4 |
-
"checked_at_utc": "2026-06-
|
| 5 |
"scope": "Live GitHub Pages, GitHub raw, Hugging Face Space, artifact dataset, and model card mirrors.",
|
| 6 |
"hash_groups": [
|
| 7 |
{
|
|
@@ -11,40 +11,40 @@
|
|
| 11 |
"local": {
|
| 12 |
"path": "docs/assets/task_suite_infographic.png",
|
| 13 |
"exists": true,
|
| 14 |
-
"bytes":
|
| 15 |
-
"sha256": "
|
| 16 |
},
|
| 17 |
"mirrors": {
|
| 18 |
"github_pages": {
|
| 19 |
"ok": true,
|
| 20 |
"status_code": 200,
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| 1253 |
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| 1255 |
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| 1264 |
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| 1266 |
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| 1269 |
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| 1270 |
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| 1271 |
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| 1281 |
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| 1286 |
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| 1287 |
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| 1288 |
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| 1298 |
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| 1304 |
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| 1315 |
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| 1321 |
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| 1332 |
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| 1334 |
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| 1337 |
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| 1338 |
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| 1339 |
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| 1349 |
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| 1350 |
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| 1354 |
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| 1355 |
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| 1356 |
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| 1366 |
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| 1367 |
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| 1370 |
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| 1371 |
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|
| 1372 |
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| 1373 |
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| 1374 |
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|
| 1383 |
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| 1384 |
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| 1385 |
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| 1387 |
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| 1388 |
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| 1389 |
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| 1390 |
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| 1391 |
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data/mirror_parity.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"hf_root": "hf_publish",
|
| 5 |
"summary": {
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| 6 |
"group_count": 101,
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|
@@ -71,27 +71,27 @@
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|
| 71 |
"local": {
|
| 72 |
"path": "repo:docs/data/artifact_index.json",
|
| 73 |
"exists": true,
|
| 74 |
-
"bytes":
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| 75 |
-
"sha256": "
|
| 76 |
},
|
| 77 |
"mirrors": {
|
| 78 |
"hf_space": {
|
| 79 |
"path": "hf_space:data/artifact_index.json",
|
| 80 |
"exists": true,
|
| 81 |
-
"bytes":
|
| 82 |
-
"sha256": "
|
| 83 |
},
|
| 84 |
"hf_artifacts": {
|
| 85 |
"path": "hf_artifacts:docs/data/artifact_index.json",
|
| 86 |
"exists": true,
|
| 87 |
-
"bytes":
|
| 88 |
-
"sha256": "
|
| 89 |
},
|
| 90 |
"hf_model": {
|
| 91 |
"path": "hf_model:metrics/artifact_index.json",
|
| 92 |
"exists": true,
|
| 93 |
-
"bytes":
|
| 94 |
-
"sha256": "
|
| 95 |
}
|
| 96 |
},
|
| 97 |
"failures": []
|
|
@@ -258,26 +258,26 @@
|
|
| 258 |
"path": "repo:docs/data/live_publication_status.json",
|
| 259 |
"exists": true,
|
| 260 |
"bytes": 68749,
|
| 261 |
-
"sha256": "
|
| 262 |
},
|
| 263 |
"mirrors": {
|
| 264 |
"hf_space": {
|
| 265 |
"path": "hf_space:data/live_publication_status.json",
|
| 266 |
"exists": true,
|
| 267 |
"bytes": 68749,
|
| 268 |
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"sha256": "
|
| 269 |
},
|
| 270 |
"hf_artifacts": {
|
| 271 |
"path": "hf_artifacts:docs/data/live_publication_status.json",
|
| 272 |
"exists": true,
|
| 273 |
"bytes": 68749,
|
| 274 |
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"sha256": "
|
| 275 |
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|
| 276 |
"hf_model": {
|
| 277 |
"path": "hf_model:metrics/live_publication_status.json",
|
| 278 |
"exists": true,
|
| 279 |
"bytes": 68749,
|
| 280 |
-
"sha256": "
|
| 281 |
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|
| 282 |
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|
| 283 |
"failures": []
|
|
@@ -319,27 +319,27 @@
|
|
| 319 |
"local": {
|
| 320 |
"path": "repo:docs/data/project_brief.json",
|
| 321 |
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|
| 322 |
-
"bytes":
|
| 323 |
-
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|
| 324 |
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|
| 325 |
"mirrors": {
|
| 326 |
"hf_space": {
|
| 327 |
"path": "hf_space:data/project_brief.json",
|
| 328 |
"exists": true,
|
| 329 |
-
"bytes":
|
| 330 |
-
"sha256": "
|
| 331 |
},
|
| 332 |
"hf_artifacts": {
|
| 333 |
"path": "hf_artifacts:docs/data/project_brief.json",
|
| 334 |
"exists": true,
|
| 335 |
-
"bytes":
|
| 336 |
-
"sha256": "
|
| 337 |
},
|
| 338 |
"hf_model": {
|
| 339 |
"path": "hf_model:metrics/project_brief.json",
|
| 340 |
"exists": true,
|
| 341 |
-
"bytes":
|
| 342 |
-
"sha256": "
|
| 343 |
}
|
| 344 |
},
|
| 345 |
"failures": []
|
|
@@ -381,27 +381,27 @@
|
|
| 381 |
"local": {
|
| 382 |
"path": "repo:docs/data/project_packet.json",
|
| 383 |
"exists": true,
|
| 384 |
-
"bytes":
|
| 385 |
-
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|
| 386 |
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|
| 387 |
"mirrors": {
|
| 388 |
"hf_space": {
|
| 389 |
"path": "hf_space:data/project_packet.json",
|
| 390 |
"exists": true,
|
| 391 |
-
"bytes":
|
| 392 |
-
"sha256": "
|
| 393 |
},
|
| 394 |
"hf_artifacts": {
|
| 395 |
"path": "hf_artifacts:docs/data/project_packet.json",
|
| 396 |
"exists": true,
|
| 397 |
-
"bytes":
|
| 398 |
-
"sha256": "
|
| 399 |
},
|
| 400 |
"hf_model": {
|
| 401 |
"path": "hf_model:metrics/project_packet.json",
|
| 402 |
"exists": true,
|
| 403 |
-
"bytes":
|
| 404 |
-
"sha256": "
|
| 405 |
}
|
| 406 |
},
|
| 407 |
"failures": []
|
|
@@ -412,27 +412,27 @@
|
|
| 412 |
"local": {
|
| 413 |
"path": "repo:docs/data/project_status.json",
|
| 414 |
"exists": true,
|
| 415 |
-
"bytes":
|
| 416 |
-
"sha256": "
|
| 417 |
},
|
| 418 |
"mirrors": {
|
| 419 |
"hf_space": {
|
| 420 |
"path": "hf_space:data/project_status.json",
|
| 421 |
"exists": true,
|
| 422 |
-
"bytes":
|
| 423 |
-
"sha256": "
|
| 424 |
},
|
| 425 |
"hf_artifacts": {
|
| 426 |
"path": "hf_artifacts:docs/data/project_status.json",
|
| 427 |
"exists": true,
|
| 428 |
-
"bytes":
|
| 429 |
-
"sha256": "
|
| 430 |
},
|
| 431 |
"hf_model": {
|
| 432 |
"path": "hf_model:metrics/project_status.json",
|
| 433 |
"exists": true,
|
| 434 |
-
"bytes":
|
| 435 |
-
"sha256": "
|
| 436 |
}
|
| 437 |
},
|
| 438 |
"failures": []
|
|
@@ -444,26 +444,26 @@
|
|
| 444 |
"path": "repo:docs/data/publication_audit.json",
|
| 445 |
"exists": true,
|
| 446 |
"bytes": 7289,
|
| 447 |
-
"sha256": "
|
| 448 |
},
|
| 449 |
"mirrors": {
|
| 450 |
"hf_space": {
|
| 451 |
"path": "hf_space:data/publication_audit.json",
|
| 452 |
"exists": true,
|
| 453 |
"bytes": 7289,
|
| 454 |
-
"sha256": "
|
| 455 |
},
|
| 456 |
"hf_artifacts": {
|
| 457 |
"path": "hf_artifacts:docs/data/publication_audit.json",
|
| 458 |
"exists": true,
|
| 459 |
"bytes": 7289,
|
| 460 |
-
"sha256": "
|
| 461 |
},
|
| 462 |
"hf_model": {
|
| 463 |
"path": "hf_model:metrics/publication_audit.json",
|
| 464 |
"exists": true,
|
| 465 |
"bytes": 7289,
|
| 466 |
-
"sha256": "
|
| 467 |
}
|
| 468 |
},
|
| 469 |
"failures": []
|
|
@@ -475,26 +475,26 @@
|
|
| 475 |
"path": "repo:docs/data/public_surface_qa.json",
|
| 476 |
"exists": true,
|
| 477 |
"bytes": 5631,
|
| 478 |
-
"sha256": "
|
| 479 |
},
|
| 480 |
"mirrors": {
|
| 481 |
"hf_space": {
|
| 482 |
"path": "hf_space:data/public_surface_qa.json",
|
| 483 |
"exists": true,
|
| 484 |
"bytes": 5631,
|
| 485 |
-
"sha256": "
|
| 486 |
},
|
| 487 |
"hf_artifacts": {
|
| 488 |
"path": "hf_artifacts:docs/data/public_surface_qa.json",
|
| 489 |
"exists": true,
|
| 490 |
"bytes": 5631,
|
| 491 |
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"sha256": "
|
| 492 |
},
|
| 493 |
"hf_model": {
|
| 494 |
"path": "hf_model:metrics/public_surface_qa.json",
|
| 495 |
"exists": true,
|
| 496 |
"bytes": 5631,
|
| 497 |
-
"sha256": "
|
| 498 |
}
|
| 499 |
},
|
| 500 |
"failures": []
|
|
@@ -506,26 +506,26 @@
|
|
| 506 |
"path": "repo:docs/data/quality_gates.json",
|
| 507 |
"exists": true,
|
| 508 |
"bytes": 8118,
|
| 509 |
-
"sha256": "
|
| 510 |
},
|
| 511 |
"mirrors": {
|
| 512 |
"hf_space": {
|
| 513 |
"path": "hf_space:data/quality_gates.json",
|
| 514 |
"exists": true,
|
| 515 |
"bytes": 8118,
|
| 516 |
-
"sha256": "
|
| 517 |
},
|
| 518 |
"hf_artifacts": {
|
| 519 |
"path": "hf_artifacts:docs/data/quality_gates.json",
|
| 520 |
"exists": true,
|
| 521 |
"bytes": 8118,
|
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data/project_brief.json
CHANGED
|
@@ -1,6 +1,25 @@
|
|
| 1 |
{
|
| 2 |
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| 3 |
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|
|
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|
| 4 |
"current_artifacts": [
|
| 5 |
{
|
| 6 |
"layer": "Data unit",
|
|
@@ -8,7 +27,7 @@
|
|
| 8 |
},
|
| 9 |
{
|
| 10 |
"layer": "Modalities",
|
| 11 |
-
"status": "Video-derived features,
|
| 12 |
},
|
| 13 |
{
|
| 14 |
"layer": "Task suite",
|
|
@@ -24,7 +43,7 @@
|
|
| 24 |
},
|
| 25 |
{
|
| 26 |
"layer": "Scale-up path",
|
| 27 |
-
"status": "Qwen3-Omni LoRA
|
| 28 |
}
|
| 29 |
],
|
| 30 |
"reading_order": [
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Project Brief",
|
| 3 |
"summary": "A concise first-reader brief for the public-sample embodied-AI task lab and its multi-episode scale-up path.",
|
| 4 |
+
"research_intent": "Treat the public Xperience-10M sample as a small but real research system: inspect synchronized modalities, define embodied-AI task contracts, run bounded baselines, package evidence, and prepare held-out multi-episode scale-up without presenting one episode as final model quality.",
|
| 5 |
+
"capability_map": [
|
| 6 |
+
{
|
| 7 |
+
"capability": "Data understanding",
|
| 8 |
+
"evidence": "feature_manifest.json, available_modalities.json, modality atlas, and the episode-window HF viewer"
|
| 9 |
+
},
|
| 10 |
+
{
|
| 11 |
+
"capability": "Task design",
|
| 12 |
+
"evidence": "12 task contracts, task cards, case-study walkthroughs, and four research-direction extension probes"
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"capability": "Evaluation rigor",
|
| 16 |
+
"evidence": "chronological split, per-task metrics, predictions, confusion matrices, leakage notes, and generated takeaways"
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"capability": "Scale-up planning",
|
| 20 |
+
"evidence": "128-episode selection/relay plan, Qwen3-Omni path, Cosmos 3 branch, and policy-model candidates after action-space conversion"
|
| 21 |
+
}
|
| 22 |
+
],
|
| 23 |
"current_artifacts": [
|
| 24 |
{
|
| 25 |
"layer": "Data unit",
|
|
|
|
| 27 |
},
|
| 28 |
{
|
| 29 |
"layer": "Modalities",
|
| 30 |
+
"status": "Video-derived features, audio, depth, pose/SLAM, mocap, IMU, calibration, and language-derived features"
|
| 31 |
},
|
| 32 |
{
|
| 33 |
"layer": "Task suite",
|
|
|
|
| 43 |
},
|
| 44 |
{
|
| 45 |
"layer": "Scale-up path",
|
| 46 |
+
"status": "Qwen3-Omni LoRA code path prepared; full-dataset access is granted and a 128-episode selected relay is being staged"
|
| 47 |
}
|
| 48 |
],
|
| 49 |
"reading_order": [
|
data/project_packet.json
CHANGED
|
@@ -10,9 +10,9 @@
|
|
| 10 |
"neural_head_count": 12,
|
| 11 |
"direction_extension_probe_count": 4,
|
| 12 |
"raw_xperience10m_data_in_repo": false,
|
| 13 |
-
"audio_feature_status": "
|
| 14 |
"qwen3_omni_32_episode_claim": false,
|
| 15 |
-
"qwen3_omni_status": "
|
| 16 |
},
|
| 17 |
"reading_path": [
|
| 18 |
{
|
|
@@ -41,7 +41,7 @@
|
|
| 41 |
"docs/data/scope_claims_audit.json",
|
| 42 |
"docs/data/website_integrity.json"
|
| 43 |
],
|
| 44 |
-
"readout": "The project status table and roadmap give the compact current-state summary. Single-episode task engineering, metrics, visualizations, public website integrity, mirror parity, and scale-up status checks are implemented; cross-episode generalization and
|
| 45 |
},
|
| 46 |
{
|
| 47 |
"step": 2,
|
|
@@ -93,7 +93,7 @@
|
|
| 93 |
"results/episode_task_suite/available_modalities.json",
|
| 94 |
"docs/data/modality_atlas.json"
|
| 95 |
],
|
| 96 |
-
"readout": "The current model input is an 8,546-dimensional aligned
|
| 97 |
},
|
| 98 |
{
|
| 99 |
"step": 7,
|
|
@@ -115,7 +115,7 @@
|
|
| 115 |
"results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md",
|
| 116 |
"scripts/omni/discover_xperience10m_sources.py"
|
| 117 |
],
|
| 118 |
-
"readout": "The next milestone is a
|
| 119 |
}
|
| 120 |
],
|
| 121 |
"project_status": "PROJECT_STATUS.md",
|
|
@@ -142,7 +142,7 @@
|
|
| 142 |
},
|
| 143 |
"current_reading_notes": [
|
| 144 |
"Cross-environment generalization is evaluated in the later multi-episode stage.",
|
| 145 |
-
"The Qwen3-Omni setup run is separate from the planned 32-episode fine-tune.",
|
| 146 |
"Feature-vector reconstruction is separate from pixel-depth, mesh, NeRF, or Gaussian reconstruction.",
|
| 147 |
"Raw Xperience-10M data is not redistributed in this repo."
|
| 148 |
]
|
|
|
|
| 10 |
"neural_head_count": 12,
|
| 11 |
"direction_extension_probe_count": 4,
|
| 12 |
"raw_xperience10m_data_in_repo": false,
|
| 13 |
+
"audio_feature_status": "Audio is one of the synchronized source modalities in the current task representation.",
|
| 14 |
"qwen3_omni_32_episode_claim": false,
|
| 15 |
+
"qwen3_omni_status": "Full-dataset access is granted; 128 selected episodes are in accelerated relay/staging with chunked parallel transfer and overlapping batch prefetch before held-out episode evaluation."
|
| 16 |
},
|
| 17 |
"reading_path": [
|
| 18 |
{
|
|
|
|
| 41 |
"docs/data/scope_claims_audit.json",
|
| 42 |
"docs/data/website_integrity.json"
|
| 43 |
],
|
| 44 |
+
"readout": "The project status table and roadmap give the compact current-state summary. Single-episode task engineering, metrics, visualizations, public website integrity, mirror parity, and scale-up status checks are implemented; cross-episode generalization and Qwen3-Omni held-out metrics are later milestones."
|
| 45 |
},
|
| 46 |
{
|
| 47 |
"step": 2,
|
|
|
|
| 93 |
"results/episode_task_suite/available_modalities.json",
|
| 94 |
"docs/data/modality_atlas.json"
|
| 95 |
],
|
| 96 |
+
"readout": "The current model input is an 8,546-dimensional aligned multimodal window, and the readable atlas shows each public-sample modality without raw data redistribution."
|
| 97 |
},
|
| 98 |
{
|
| 99 |
"step": 7,
|
|
|
|
| 115 |
"results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md",
|
| 116 |
"scripts/omni/discover_xperience10m_sources.py"
|
| 117 |
],
|
| 118 |
+
"readout": "The next milestone is a selected-episode held-out Qwen3-Omni LoRA pilot after staging and preprocessing complete."
|
| 119 |
}
|
| 120 |
],
|
| 121 |
"project_status": "PROJECT_STATUS.md",
|
|
|
|
| 142 |
},
|
| 143 |
"current_reading_notes": [
|
| 144 |
"Cross-environment generalization is evaluated in the later multi-episode stage.",
|
| 145 |
+
"The Qwen3-Omni setup run is separate from the planned held-out 32-episode fine-tune and still requires gated data staging before any real 32-episode result is reported.",
|
| 146 |
"Feature-vector reconstruction is separate from pixel-depth, mesh, NeRF, or Gaussian reconstruction.",
|
| 147 |
"Raw Xperience-10M data is not redistributed in this repo."
|
| 148 |
]
|
data/project_status.json
CHANGED
|
@@ -1,7 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Task Suite Project Status",
|
| 3 |
"version": "2026-06-01",
|
| 4 |
-
"decision": "
|
|
|
|
| 5 |
"scope_boundary": {
|
| 6 |
"validated_episode_count": 1,
|
| 7 |
"aligned_frames": 5821,
|
|
@@ -23,7 +24,7 @@
|
|
| 23 |
"results/episode_task_suite/windows.csv",
|
| 24 |
"results/episode_task_suite/feature_manifest.json"
|
| 25 |
],
|
| 26 |
-
"readout": "One public Xperience-10M sample episode is converted into 5,821 frames, 1,161 aligned 20-frame windows, and an 8,546-dimensional
|
| 27 |
},
|
| 28 |
{
|
| 29 |
"area": "Task suite",
|
|
@@ -44,6 +45,16 @@
|
|
| 44 |
],
|
| 45 |
"readout": "Each task also has a compact PyTorch MLP run over the same feature tensor and chronological split."
|
| 46 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 47 |
{
|
| 48 |
"area": "Evaluation protocol",
|
| 49 |
"status": "verified",
|
|
@@ -71,7 +82,16 @@
|
|
| 71 |
"RESEARCH_ROADMAP.md",
|
| 72 |
"docs/data/research_roadmap.json"
|
| 73 |
],
|
| 74 |
-
"readout": "The staged path connects public-sample task development to
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 75 |
},
|
| 76 |
{
|
| 77 |
"area": "Official dataset wording",
|
|
@@ -124,12 +144,12 @@
|
|
| 124 |
},
|
| 125 |
{
|
| 126 |
"area": "Qwen3-Omni fine-tuning",
|
| 127 |
-
"status": "
|
| 128 |
"evidence": [
|
| 129 |
"results/omni_finetune/DATA_ACCESS_STATUS.md",
|
| 130 |
"results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md"
|
| 131 |
],
|
| 132 |
-
"readout": "
|
| 133 |
},
|
| 134 |
{
|
| 135 |
"area": "Raw Xperience-10M redistribution",
|
|
@@ -146,7 +166,9 @@
|
|
| 146 |
"Open docs/data/project_packet.json for the machine-readable project path.",
|
| 147 |
"Inspect RESEARCH_TAKEAWAYS.md and docs/data/research_takeaways.json before interpreting model scores.",
|
| 148 |
"Inspect RESEARCH_ROADMAP.md and docs/data/research_roadmap.json for the staged path from public-sample task work to multi-episode modeling.",
|
|
|
|
| 149 |
"Inspect docs/data/summary_metrics.json and results/episode_task_suite/neural_mlp/ to check the 12-task outputs.",
|
|
|
|
| 150 |
"Inspect EVALUATION_PROTOCOL.md before judging task metrics or leakage controls.",
|
| 151 |
"Inspect SOURCE_ALIGNMENT_AUDIT.md before judging source-card consistency across public surfaces.",
|
| 152 |
"Inspect XPERIENCE10M_DATASET_CARD_ALIGNMENT.md before judging dataset wording.",
|
|
@@ -154,8 +176,10 @@
|
|
| 154 |
],
|
| 155 |
"current_reading_notes": [
|
| 156 |
"Cross-episode generalization is evaluated in the later multi-episode stage.",
|
| 157 |
-
"
|
| 158 |
"The current reconstruction task reconstructs feature vectors, not pixel-depth, mesh, NeRF, or Gaussian reconstruction.",
|
| 159 |
-
"
|
|
|
|
|
|
|
| 160 |
]
|
| 161 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Task Suite Project Status",
|
| 3 |
"version": "2026-06-01",
|
| 4 |
+
"decision": "public_sample_pipeline_verified_multi_episode_omni_data_staging",
|
| 5 |
+
"research_positioning": "A research-engineering study that makes one public Xperience-10M sample episode inspectable, defines embodied-AI tasks over synchronized modalities, records baseline behavior, and keeps later multi-episode model-quality claims separate from current single-episode evidence.",
|
| 6 |
"scope_boundary": {
|
| 7 |
"validated_episode_count": 1,
|
| 8 |
"aligned_frames": 5821,
|
|
|
|
| 24 |
"results/episode_task_suite/windows.csv",
|
| 25 |
"results/episode_task_suite/feature_manifest.json"
|
| 26 |
],
|
| 27 |
+
"readout": "One public Xperience-10M sample episode is converted into 5,821 frames, 1,161 aligned 20-frame windows, and an 8,546-dimensional representation for repeatable task evaluation."
|
| 28 |
},
|
| 29 |
{
|
| 30 |
"area": "Task suite",
|
|
|
|
| 45 |
],
|
| 46 |
"readout": "Each task also has a compact PyTorch MLP run over the same feature tensor and chronological split."
|
| 47 |
},
|
| 48 |
+
{
|
| 49 |
+
"area": "Audio contribution study",
|
| 50 |
+
"status": "verified",
|
| 51 |
+
"evidence": [
|
| 52 |
+
"scripts/audio_ablation_and_raw_upgrade.py",
|
| 53 |
+
"results/audio_ablation/",
|
| 54 |
+
"docs/data/audio_ablation_summary.json"
|
| 55 |
+
],
|
| 56 |
+
"readout": "Audio variants improve the primary metric on 6 of 12 task contracts in this single-episode setting."
|
| 57 |
+
},
|
| 58 |
{
|
| 59 |
"area": "Evaluation protocol",
|
| 60 |
"status": "verified",
|
|
|
|
| 82 |
"RESEARCH_ROADMAP.md",
|
| 83 |
"docs/data/research_roadmap.json"
|
| 84 |
],
|
| 85 |
+
"readout": "The staged path connects public-sample task development to 128-episode data staging, Qwen3-Omni LoRA, foundation-model selection, robustness runs, and larger omni/world-model extensions."
|
| 86 |
+
},
|
| 87 |
+
{
|
| 88 |
+
"area": "Foundation-model plan",
|
| 89 |
+
"status": "current",
|
| 90 |
+
"evidence": [
|
| 91 |
+
"FOUNDATION_MODEL_PLAN.md",
|
| 92 |
+
"docs/data/foundation_model_plan.json"
|
| 93 |
+
],
|
| 94 |
+
"readout": "Qwen3-Omni remains the first trainable held-out LoRA baseline; Cosmos 3 is added as the first world-model/action-generation branch; OpenVLA/openpi/GR00T are policy candidates after action targets are explicit."
|
| 95 |
},
|
| 96 |
{
|
| 97 |
"area": "Official dataset wording",
|
|
|
|
| 144 |
},
|
| 145 |
{
|
| 146 |
"area": "Qwen3-Omni fine-tuning",
|
| 147 |
+
"status": "data_staging_full_metrics_pending",
|
| 148 |
"evidence": [
|
| 149 |
"results/omni_finetune/DATA_ACCESS_STATUS.md",
|
| 150 |
"results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md"
|
| 151 |
],
|
| 152 |
+
"readout": "Full-dataset access is granted and a 128-episode selected relay is in progress with chunked parallel transfer and overlapping batch prefetch; final held-out metrics require completed staging, manifest construction, training, and held-out evaluation."
|
| 153 |
},
|
| 154 |
{
|
| 155 |
"area": "Raw Xperience-10M redistribution",
|
|
|
|
| 166 |
"Open docs/data/project_packet.json for the machine-readable project path.",
|
| 167 |
"Inspect RESEARCH_TAKEAWAYS.md and docs/data/research_takeaways.json before interpreting model scores.",
|
| 168 |
"Inspect RESEARCH_ROADMAP.md and docs/data/research_roadmap.json for the staged path from public-sample task work to multi-episode modeling.",
|
| 169 |
+
"Inspect FOUNDATION_MODEL_PLAN.md and docs/data/foundation_model_plan.json before choosing a backbone branch.",
|
| 170 |
"Inspect docs/data/summary_metrics.json and results/episode_task_suite/neural_mlp/ to check the 12-task outputs.",
|
| 171 |
+
"Inspect results/audio_ablation/AUDIO_ABLATION_SUMMARY.md before judging whether audio helps the current task suite.",
|
| 172 |
"Inspect EVALUATION_PROTOCOL.md before judging task metrics or leakage controls.",
|
| 173 |
"Inspect SOURCE_ALIGNMENT_AUDIT.md before judging source-card consistency across public surfaces.",
|
| 174 |
"Inspect XPERIENCE10M_DATASET_CARD_ALIGNMENT.md before judging dataset wording.",
|
|
|
|
| 176 |
],
|
| 177 |
"current_reading_notes": [
|
| 178 |
"Cross-episode generalization is evaluated in the later multi-episode stage.",
|
| 179 |
+
"Older pilot path names refer to setup files, not completed held-out training results.",
|
| 180 |
"The current reconstruction task reconstructs feature vectors, not pixel-depth, mesh, NeRF, or Gaussian reconstruction.",
|
| 181 |
+
"Audio is one of the synchronized source modalities in the current task representation.",
|
| 182 |
+
"The audio ablation report compares audio/no-audio variants across all 12 task contracts in results/audio_ablation/.",
|
| 183 |
+
"Foundation-model selection is explicit: Qwen3-Omni is the immediate trainable pilot, Cosmos 3 is the first world-model branch, and policy models such as OpenVLA/openpi/GR00T wait for action-target conversion."
|
| 184 |
]
|
| 185 |
}
|
data/public_surface_qa.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Public Project Surface",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
|
| 6 |
"checks": [
|
| 7 |
{
|
|
@@ -18,7 +18,7 @@
|
|
| 18 |
"website_integrity": {
|
| 19 |
"exists": true,
|
| 20 |
"status": "pass",
|
| 21 |
-
"generated_at_utc": "2026-06-
|
| 22 |
},
|
| 23 |
"rendered_site_check": {
|
| 24 |
"exists": true,
|
|
@@ -28,27 +28,27 @@
|
|
| 28 |
"task_surface_integrity": {
|
| 29 |
"exists": true,
|
| 30 |
"status": "pass",
|
| 31 |
-
"generated_at_utc": "2026-06-
|
| 32 |
},
|
| 33 |
"source_alignment": {
|
| 34 |
"exists": true,
|
| 35 |
"status": "pass",
|
| 36 |
-
"generated_at_utc": "2026-06-
|
| 37 |
},
|
| 38 |
"scale_up_status": {
|
| 39 |
"exists": true,
|
| 40 |
"status": "pass",
|
| 41 |
-
"generated_at_utc": "2026-06-
|
| 42 |
},
|
| 43 |
"publication_package": {
|
| 44 |
"exists": true,
|
| 45 |
"status": "pass",
|
| 46 |
-
"generated_at_utc": "2026-06-
|
| 47 |
},
|
| 48 |
"mirror_parity": {
|
| 49 |
"exists": true,
|
| 50 |
"status": "pass",
|
| 51 |
-
"generated_at_utc": "2026-06-
|
| 52 |
},
|
| 53 |
"live_publication": {
|
| 54 |
"exists": true,
|
|
@@ -100,11 +100,11 @@
|
|
| 100 |
"status": "pass",
|
| 101 |
"reason": "Public copy should consistently present the project as Ropedia Xperience-10M, with the Qwen3-Omni scale-up status.",
|
| 102 |
"marker_counts": {
|
| 103 |
-
"Ropedia Xperience-10M Task Suite":
|
| 104 |
-
"Xperience-10M":
|
| 105 |
-
"12-task":
|
| 106 |
-
"Qwen3-Omni":
|
| 107 |
-
"
|
| 108 |
}
|
| 109 |
},
|
| 110 |
{
|
|
@@ -112,12 +112,12 @@
|
|
| 112 |
"status": "pass",
|
| 113 |
"reason": "Public cards should link the repo, Space, artifacts, model baselines, upstream dataset, and Ropedia dataset page.",
|
| 114 |
"marker_counts": {
|
| 115 |
-
"https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite":
|
| 116 |
-
"https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite":
|
| 117 |
"https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts": 4,
|
| 118 |
-
"https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines":
|
| 119 |
-
"https://huggingface.co/datasets/ropedia-ai/xperience-10m":
|
| 120 |
-
"https://ropedia.com/dataset":
|
| 121 |
}
|
| 122 |
},
|
| 123 |
{
|
|
@@ -126,13 +126,13 @@
|
|
| 126 |
"reason": "Readers should be able to find website reference, release package, mirror, and project-surface files from public copy.",
|
| 127 |
"marker_counts": {
|
| 128 |
"data/project_brief.json": 9,
|
| 129 |
-
"data/website_integrity.json":
|
| 130 |
-
"data/rendered_site_check.json":
|
| 131 |
-
"data/task_surface_integrity.json":
|
| 132 |
-
"data/publication_audit.json":
|
| 133 |
-
"data/mirror_parity.json":
|
| 134 |
-
"data/public_surface_qa.json":
|
| 135 |
-
"data/research_roadmap.json":
|
| 136 |
}
|
| 137 |
},
|
| 138 |
{
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Public Project Surface",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-03T20:37:22+00:00",
|
| 5 |
"scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
|
| 6 |
"checks": [
|
| 7 |
{
|
|
|
|
| 18 |
"website_integrity": {
|
| 19 |
"exists": true,
|
| 20 |
"status": "pass",
|
| 21 |
+
"generated_at_utc": "2026-06-03T20:35:48+00:00"
|
| 22 |
},
|
| 23 |
"rendered_site_check": {
|
| 24 |
"exists": true,
|
|
|
|
| 28 |
"task_surface_integrity": {
|
| 29 |
"exists": true,
|
| 30 |
"status": "pass",
|
| 31 |
+
"generated_at_utc": "2026-06-03T20:36:23+00:00"
|
| 32 |
},
|
| 33 |
"source_alignment": {
|
| 34 |
"exists": true,
|
| 35 |
"status": "pass",
|
| 36 |
+
"generated_at_utc": "2026-06-03T20:36:23+00:00"
|
| 37 |
},
|
| 38 |
"scale_up_status": {
|
| 39 |
"exists": true,
|
| 40 |
"status": "pass",
|
| 41 |
+
"generated_at_utc": "2026-06-03T20:37:04+00:00"
|
| 42 |
},
|
| 43 |
"publication_package": {
|
| 44 |
"exists": true,
|
| 45 |
"status": "pass",
|
| 46 |
+
"generated_at_utc": "2026-06-03T20:08:35+00:00"
|
| 47 |
},
|
| 48 |
"mirror_parity": {
|
| 49 |
"exists": true,
|
| 50 |
"status": "pass",
|
| 51 |
+
"generated_at_utc": "2026-06-03T20:09:03+00:00"
|
| 52 |
},
|
| 53 |
"live_publication": {
|
| 54 |
"exists": true,
|
|
|
|
| 100 |
"status": "pass",
|
| 101 |
"reason": "Public copy should consistently present the project as Ropedia Xperience-10M, with the Qwen3-Omni scale-up status.",
|
| 102 |
"marker_counts": {
|
| 103 |
+
"Ropedia Xperience-10M Task Suite": 15,
|
| 104 |
+
"Xperience-10M": 131,
|
| 105 |
+
"12-task": 33,
|
| 106 |
+
"Qwen3-Omni": 83,
|
| 107 |
+
"128-episode relay": 6
|
| 108 |
}
|
| 109 |
},
|
| 110 |
{
|
|
|
|
| 112 |
"status": "pass",
|
| 113 |
"reason": "Public cards should link the repo, Space, artifacts, model baselines, upstream dataset, and Ropedia dataset page.",
|
| 114 |
"marker_counts": {
|
| 115 |
+
"https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite": 66,
|
| 116 |
+
"https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite": 8,
|
| 117 |
"https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts": 4,
|
| 118 |
+
"https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines": 4,
|
| 119 |
+
"https://huggingface.co/datasets/ropedia-ai/xperience-10m": 26,
|
| 120 |
+
"https://ropedia.com/dataset": 4
|
| 121 |
}
|
| 122 |
},
|
| 123 |
{
|
|
|
|
| 126 |
"reason": "Readers should be able to find website reference, release package, mirror, and project-surface files from public copy.",
|
| 127 |
"marker_counts": {
|
| 128 |
"data/project_brief.json": 9,
|
| 129 |
+
"data/website_integrity.json": 13,
|
| 130 |
+
"data/rendered_site_check.json": 8,
|
| 131 |
+
"data/task_surface_integrity.json": 23,
|
| 132 |
+
"data/publication_audit.json": 18,
|
| 133 |
+
"data/mirror_parity.json": 12,
|
| 134 |
+
"data/public_surface_qa.json": 12,
|
| 135 |
+
"data/research_roadmap.json": 23
|
| 136 |
}
|
| 137 |
},
|
| 138 |
{
|
data/publication_audit.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"checks": [
|
| 5 |
{
|
| 6 |
"name": "required_publication_assets_present",
|
|
@@ -204,7 +204,7 @@
|
|
| 204 |
"hf_artifact_bundle": {
|
| 205 |
"root": "hf_publish/artifacts",
|
| 206 |
"exists": true,
|
| 207 |
-
"file_count":
|
| 208 |
"text_file_count": 325,
|
| 209 |
"largest_file": {
|
| 210 |
"path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
|
|
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
+
"generated_at_utc": "2026-06-03T20:44:32+00:00",
|
| 4 |
"checks": [
|
| 5 |
{
|
| 6 |
"name": "required_publication_assets_present",
|
|
|
|
| 204 |
"hf_artifact_bundle": {
|
| 205 |
"root": "hf_publish/artifacts",
|
| 206 |
"exists": true,
|
| 207 |
+
"file_count": 411,
|
| 208 |
"text_file_count": 325,
|
| 209 |
"largest_file": {
|
| 210 |
"path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
|
data/quality_gates.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Release Checks",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
|
| 6 |
"automated_gates": [
|
| 7 |
{
|
|
@@ -9,8 +9,8 @@
|
|
| 9 |
"title": "Multi-episode pilot status",
|
| 10 |
"command": "python scripts/validate_scope_claims.py",
|
| 11 |
"report": "docs/data/scope_claims_audit.json",
|
| 12 |
-
"blocks_if": "
|
| 13 |
-
"shows": "Qwen3-Omni setup artifacts stay distinct from the planned held-out
|
| 14 |
"current_report": {
|
| 15 |
"exists": true,
|
| 16 |
"status": "pass"
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Release Checks",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-03T20:42:40+00:00",
|
| 5 |
"rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
|
| 6 |
"automated_gates": [
|
| 7 |
{
|
|
|
|
| 9 |
"title": "Multi-episode pilot status",
|
| 10 |
"command": "python scripts/validate_scope_claims.py",
|
| 11 |
"report": "docs/data/scope_claims_audit.json",
|
| 12 |
+
"blocks_if": "Setup/provenance strings are presented as completed held-out metrics.",
|
| 13 |
+
"shows": "Qwen3-Omni setup artifacts stay distinct from the planned held-out pilot.",
|
| 14 |
"current_report": {
|
| 15 |
"exists": true,
|
| 16 |
"status": "pass"
|
data/scope_claims_audit.json
CHANGED
|
@@ -1,14 +1,14 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"summary": {
|
| 5 |
"qwen3_omni_32_episode_claim": false,
|
| 6 |
"dataset_manifest_num_episodes": 1,
|
| 7 |
"dataset_manifest_num_samples": 128,
|
| 8 |
"training_metadata_num_train_samples": 128,
|
| 9 |
"source_discovery_ready_for_32_episode_pilot": false,
|
| 10 |
-
"historical_identifier_count":
|
| 11 |
-
"public_32_episode_status_file_count":
|
| 12 |
"failure_count": 0
|
| 13 |
},
|
| 14 |
"checks": [
|
|
@@ -39,7 +39,7 @@
|
|
| 39 |
{
|
| 40 |
"name": "summary_metrics_preserves_omni_scale_up_status",
|
| 41 |
"status": "pass",
|
| 42 |
-
"detail": "The
|
| 43 |
"evidence": [
|
| 44 |
"docs/data/summary_metrics.json"
|
| 45 |
]
|
|
@@ -90,45 +90,17 @@
|
|
| 90 |
{
|
| 91 |
"name": "historical_32ep_identifiers_are_confined_to_readiness_artifacts",
|
| 92 |
"status": "pass",
|
| 93 |
-
"detail": "historical identifiers found in result provenance files=
|
| 94 |
"evidence": [
|
| 95 |
"results/omni_finetune/"
|
| 96 |
]
|
| 97 |
}
|
| 98 |
],
|
| 99 |
"public_status_observations": [
|
| 100 |
-
{
|
| 101 |
-
"path": "README.md",
|
| 102 |
-
"contains_32_episode_status_text": true
|
| 103 |
-
},
|
| 104 |
-
{
|
| 105 |
-
"path": "ARTIFACT_GUIDE.md",
|
| 106 |
-
"contains_32_episode_status_text": true
|
| 107 |
-
},
|
| 108 |
-
{
|
| 109 |
-
"path": "EVIDENCE_CONTRACT.md",
|
| 110 |
-
"contains_32_episode_status_text": true
|
| 111 |
-
},
|
| 112 |
-
{
|
| 113 |
-
"path": "REPRODUCIBILITY.md",
|
| 114 |
-
"contains_32_episode_status_text": true
|
| 115 |
-
},
|
| 116 |
-
{
|
| 117 |
-
"path": "docs/index.html",
|
| 118 |
-
"contains_32_episode_status_text": true
|
| 119 |
-
},
|
| 120 |
{
|
| 121 |
"path": "docs/data/artifact_index.json",
|
| 122 |
"contains_32_episode_status_text": true
|
| 123 |
},
|
| 124 |
-
{
|
| 125 |
-
"path": "docs/data/evidence_contract.json",
|
| 126 |
-
"contains_32_episode_status_text": true
|
| 127 |
-
},
|
| 128 |
-
{
|
| 129 |
-
"path": "docs/data/reproducibility_matrix.json",
|
| 130 |
-
"contains_32_episode_status_text": true
|
| 131 |
-
},
|
| 132 |
{
|
| 133 |
"path": "docs/data/project_packet.json",
|
| 134 |
"contains_32_episode_status_text": true
|
|
@@ -199,6 +171,24 @@
|
|
| 199 |
],
|
| 200 |
"example": "- Dataset: `results/omni_finetune/xperience10m_qwen3_omni_32ep_dataset/dataset.jsonl`"
|
| 201 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 202 |
{
|
| 203 |
"classification": "historical_identifier_in_readiness_artifact",
|
| 204 |
"path": "results/omni_finetune/config.yaml",
|
|
@@ -438,30 +428,8 @@
|
|
| 438 |
"ropedia-episode-task-suite"
|
| 439 |
],
|
| 440 |
"example": "{\"id\": \"xperience-10m-sample:qa:42\", \"episode_id\": \"xperience-10m-sample\", \"split\": \"train\", \"target\": \"episode_qa\", \"prompt_type\": \"json_episode_understanding\", \"center_window\": {\"start_frame\": 840, \"end_frame\": 859, \"num_frames\": 20}, \"media\": {\"video_paths\""
|
| 441 |
-
},
|
| 442 |
-
{
|
| 443 |
-
"classification": "historical_identifier_in_readiness_artifact",
|
| 444 |
-
"path": "results/omni_finetune/dataset.jsonl",
|
| 445 |
-
"line": 20,
|
| 446 |
-
"patterns": [
|
| 447 |
-
"qwen3_omni_32ep",
|
| 448 |
-
"xperience10m_qwen3_omni_32ep",
|
| 449 |
-
"ropedia-episode-task-suite"
|
| 450 |
-
],
|
| 451 |
-
"example": "{\"id\": \"xperience-10m-sample:qa:43\", \"episode_id\": \"xperience-10m-sample\", \"split\": \"train\", \"target\": \"episode_qa\", \"prompt_type\": \"json_episode_understanding\", \"center_window\": {\"start_frame\": 860, \"end_frame\": 879, \"num_frames\": 20}, \"media\": {\"video_paths\""
|
| 452 |
-
},
|
| 453 |
-
{
|
| 454 |
-
"classification": "historical_identifier_in_readiness_artifact",
|
| 455 |
-
"path": "results/omni_finetune/dataset.jsonl",
|
| 456 |
-
"line": 21,
|
| 457 |
-
"patterns": [
|
| 458 |
-
"qwen3_omni_32ep",
|
| 459 |
-
"xperience10m_qwen3_omni_32ep",
|
| 460 |
-
"ropedia-episode-task-suite"
|
| 461 |
-
],
|
| 462 |
-
"example": "{\"id\": \"xperience-10m-sample:qa:44\", \"episode_id\": \"xperience-10m-sample\", \"split\": \"train\", \"target\": \"episode_qa\", \"prompt_type\": \"json_episode_understanding\", \"center_window\": {\"start_frame\": 880, \"end_frame\": 899, \"num_frames\": 20}, \"media\": {\"video_paths\""
|
| 463 |
}
|
| 464 |
],
|
| 465 |
-
"historical_identifier_total_count":
|
| 466 |
"failures": []
|
| 467 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
+
"generated_at_utc": "2026-06-03T20:37:04+00:00",
|
| 4 |
"summary": {
|
| 5 |
"qwen3_omni_32_episode_claim": false,
|
| 6 |
"dataset_manifest_num_episodes": 1,
|
| 7 |
"dataset_manifest_num_samples": 128,
|
| 8 |
"training_metadata_num_train_samples": 128,
|
| 9 |
"source_discovery_ready_for_32_episode_pilot": false,
|
| 10 |
+
"historical_identifier_count": 159,
|
| 11 |
+
"public_32_episode_status_file_count": 3,
|
| 12 |
"failure_count": 0
|
| 13 |
},
|
| 14 |
"checks": [
|
|
|
|
| 39 |
{
|
| 40 |
"name": "summary_metrics_preserves_omni_scale_up_status",
|
| 41 |
"status": "pass",
|
| 42 |
+
"detail": "The selected-episode Qwen3-Omni fine-tune requires completed data staging and held-out evaluation; the 32-episode Qwen3-Omni fine-tune requires gated data staging before any real held-out metric is reported.",
|
| 43 |
"evidence": [
|
| 44 |
"docs/data/summary_metrics.json"
|
| 45 |
]
|
|
|
|
| 90 |
{
|
| 91 |
"name": "historical_32ep_identifiers_are_confined_to_readiness_artifacts",
|
| 92 |
"status": "pass",
|
| 93 |
+
"detail": "historical identifiers found in result provenance files=159",
|
| 94 |
"evidence": [
|
| 95 |
"results/omni_finetune/"
|
| 96 |
]
|
| 97 |
}
|
| 98 |
],
|
| 99 |
"public_status_observations": [
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 100 |
{
|
| 101 |
"path": "docs/data/artifact_index.json",
|
| 102 |
"contains_32_episode_status_text": true
|
| 103 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 104 |
{
|
| 105 |
"path": "docs/data/project_packet.json",
|
| 106 |
"contains_32_episode_status_text": true
|
|
|
|
| 171 |
],
|
| 172 |
"example": "- Dataset: `results/omni_finetune/xperience10m_qwen3_omni_32ep_dataset/dataset.jsonl`"
|
| 173 |
},
|
| 174 |
+
{
|
| 175 |
+
"classification": "historical_identifier_in_readiness_artifact",
|
| 176 |
+
"path": "results/omni_finetune/XPERIENCE10M_128_RELAY_AND_FINETUNE_PLAN.md",
|
| 177 |
+
"line": 42,
|
| 178 |
+
"patterns": [
|
| 179 |
+
"ropedia-episode-task-suite"
|
| 180 |
+
],
|
| 181 |
+
"example": "export RELAY_WORKDIR=/path/to/ropedia-episode-task-suite"
|
| 182 |
+
},
|
| 183 |
+
{
|
| 184 |
+
"classification": "historical_identifier_in_readiness_artifact",
|
| 185 |
+
"path": "results/omni_finetune/XPERIENCE10M_128_RELAY_AND_FINETUNE_PLAN.md",
|
| 186 |
+
"line": 45,
|
| 187 |
+
"patterns": [
|
| 188 |
+
"ropedia-episode-task-suite"
|
| 189 |
+
],
|
| 190 |
+
"example": "export TRAINING_REPO=/path/to/ropedia-episode-task-suite"
|
| 191 |
+
},
|
| 192 |
{
|
| 193 |
"classification": "historical_identifier_in_readiness_artifact",
|
| 194 |
"path": "results/omni_finetune/config.yaml",
|
|
|
|
| 428 |
"ropedia-episode-task-suite"
|
| 429 |
],
|
| 430 |
"example": "{\"id\": \"xperience-10m-sample:qa:42\", \"episode_id\": \"xperience-10m-sample\", \"split\": \"train\", \"target\": \"episode_qa\", \"prompt_type\": \"json_episode_understanding\", \"center_window\": {\"start_frame\": 840, \"end_frame\": 859, \"num_frames\": 20}, \"media\": {\"video_paths\""
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 431 |
}
|
| 432 |
],
|
| 433 |
+
"historical_identifier_total_count": 159,
|
| 434 |
"failures": []
|
| 435 |
}
|
data/source_alignment_audit.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Source Alignment Note",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
|
| 6 |
"alignment_summary": {
|
| 7 |
"full_dataset_repo": "ropedia-ai/xperience-10m",
|
|
@@ -11,7 +11,7 @@
|
|
| 11 |
"api_episode_folders": 12103,
|
| 12 |
"sample_repo": "ropedia-ai/xperience-10m-sample",
|
| 13 |
"sample_license": "cc-by-nc-4.0",
|
| 14 |
-
"current_project_scope": "1 public sample episode, 5,821 frames, 1,161 windows, 8,
|
| 15 |
},
|
| 16 |
"checks": [
|
| 17 |
{
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Source Alignment Note",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-03T20:36:23+00:00",
|
| 5 |
"alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
|
| 6 |
"alignment_summary": {
|
| 7 |
"full_dataset_repo": "ropedia-ai/xperience-10m",
|
|
|
|
| 11 |
"api_episode_folders": 12103,
|
| 12 |
"sample_repo": "ropedia-ai/xperience-10m-sample",
|
| 13 |
"sample_license": "cc-by-nc-4.0",
|
| 14 |
+
"current_project_scope": "1 public sample episode, 5,821 frames, 1,161 windows, 8,546 current features"
|
| 15 |
},
|
| 16 |
"checks": [
|
| 17 |
{
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data/summary_metrics.json
CHANGED
|
@@ -1,20 +1,20 @@
|
|
| 1 |
{
|
| 2 |
"omni_relay": {
|
| 3 |
-
"status": "
|
| 4 |
"dataset": "ropedia-ai/xperience-10m",
|
| 5 |
-
"staging": "
|
| 6 |
"training_target": "external_multi_gpu_training_host",
|
| 7 |
"selection_strategy": "stratified_round_robin_by_top_level_session",
|
| 8 |
-
"target_episodes":
|
| 9 |
-
"selected_sessions":
|
| 10 |
-
"candidate_scan_top_level_sessions":
|
| 11 |
-
"valid_candidates":
|
| 12 |
-
"estimated_bytes":
|
| 13 |
"exclude": [
|
| 14 |
"visualization.rrd"
|
| 15 |
],
|
| 16 |
-
"access_status": "
|
| 17 |
-
"current_scope": "The
|
| 18 |
},
|
| 19 |
"models": {
|
| 20 |
"motion_action": {
|
|
@@ -663,103 +663,103 @@
|
|
| 663 |
},
|
| 664 |
"feature_manifest": [
|
| 665 |
{
|
| 666 |
-
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| 667 |
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|
| 668 |
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|
| 669 |
"dim": 441
|
| 670 |
},
|
| 671 |
{
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| 672 |
-
"name": "
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| 673 |
"start": 441,
|
| 674 |
"end": 882,
|
| 675 |
"dim": 441
|
| 676 |
},
|
| 677 |
{
|
| 678 |
-
"name": "
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| 679 |
"start": 882,
|
| 680 |
"end": 1974,
|
| 681 |
"dim": 1092
|
| 682 |
},
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| 683 |
{
|
| 684 |
-
"name": "
|
| 685 |
"start": 1974,
|
| 686 |
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|
| 687 |
"dim": 147
|
| 688 |
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| 689 |
{
|
| 690 |
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"start": 2121,
|
| 692 |
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|
| 693 |
"dim": 21
|
| 694 |
},
|
| 695 |
{
|
| 696 |
-
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|
| 697 |
"start": 2142,
|
| 698 |
"end": 2205,
|
| 699 |
"dim": 63
|
| 700 |
},
|
| 701 |
{
|
| 702 |
-
"name": "
|
| 703 |
"start": 2205,
|
| 704 |
"end": 2247,
|
| 705 |
"dim": 42
|
| 706 |
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| 707 |
{
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| 708 |
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|
| 709 |
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|
| 710 |
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|
| 711 |
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|
| 712 |
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| 713 |
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| 714 |
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|
| 716 |
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|
| 717 |
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|
| 718 |
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|
| 719 |
{
|
| 720 |
-
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|
| 721 |
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|
| 722 |
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|
| 723 |
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|
| 724 |
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|
| 725 |
{
|
| 726 |
-
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|
| 727 |
"start": 4599,
|
| 728 |
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|
| 729 |
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|
| 730 |
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|
| 731 |
{
|
| 732 |
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"name": "
|
| 733 |
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|
| 734 |
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|
| 735 |
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|
| 736 |
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|
| 737 |
{
|
| 738 |
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| 739 |
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|
| 740 |
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|
| 741 |
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|
| 742 |
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| 743 |
{
|
| 744 |
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| 745 |
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|
| 747 |
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|
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|
| 749 |
{
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| 750 |
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| 751 |
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|
| 753 |
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|
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| 755 |
{
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| 756 |
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|
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|
| 760 |
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|
| 761 |
{
|
| 762 |
-
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| 763 |
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|
| 764 |
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|
| 765 |
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|
|
|
| 1 |
{
|
| 2 |
"omni_relay": {
|
| 3 |
+
"status": "selected_relay_in_progress",
|
| 4 |
"dataset": "ropedia-ai/xperience-10m",
|
| 5 |
+
"staging": "accelerated_chunked_parallel_transfer_with_batch_prefetch",
|
| 6 |
"training_target": "external_multi_gpu_training_host",
|
| 7 |
"selection_strategy": "stratified_round_robin_by_top_level_session",
|
| 8 |
+
"target_episodes": 128,
|
| 9 |
+
"selected_sessions": 128,
|
| 10 |
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"candidate_scan_top_level_sessions": 802,
|
| 11 |
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|
| 12 |
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"estimated_bytes": 298188841943,
|
| 13 |
"exclude": [
|
| 14 |
"visualization.rrd"
|
| 15 |
],
|
| 16 |
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"access_status": "Full-dataset access is granted; selected multi-episode relay is in progress with chunked parallel transfer and overlapping batch prefetch.",
|
| 17 |
+
"current_scope": "The selected-episode Qwen3-Omni fine-tune requires completed data staging and held-out evaluation; the 32-episode Qwen3-Omni fine-tune requires gated data staging before any real held-out metric is reported."
|
| 18 |
},
|
| 19 |
"models": {
|
| 20 |
"motion_action": {
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|
|
|
| 663 |
},
|
| 664 |
"feature_manifest": [
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| 665 |
{
|
| 666 |
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| 667 |
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| 668 |
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|
| 669 |
"dim": 441
|
| 670 |
},
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| 671 |
{
|
| 672 |
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| 673 |
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|
| 674 |
"end": 882,
|
| 675 |
"dim": 441
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| 676 |
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| 677 |
{
|
| 678 |
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| 679 |
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|
| 680 |
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|
| 681 |
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|
| 682 |
},
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| 683 |
{
|
| 684 |
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| 685 |
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|
| 686 |
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|
| 687 |
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| 688 |
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| 689 |
{
|
| 690 |
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"name": "camera translation",
|
| 691 |
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|
| 692 |
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|
| 693 |
"dim": 21
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| 694 |
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| 695 |
{
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| 696 |
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"name": "camera rotation matrix",
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| 697 |
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|
| 698 |
"end": 2205,
|
| 699 |
"dim": 63
|
| 700 |
},
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| 701 |
{
|
| 702 |
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"name": "imu accel gyro",
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| 703 |
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|
| 704 |
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|
| 705 |
"dim": 42
|
| 706 |
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| 707 |
{
|
| 708 |
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"name": "depth confidence",
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| 709 |
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| 710 |
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|
| 711 |
"dim": 980
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| 712 |
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| 713 |
{
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| 714 |
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"name": "video fisheye cam0",
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| 715 |
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| 716 |
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|
| 717 |
"dim": 686
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| 718 |
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| 719 |
{
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| 720 |
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| 721 |
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| 722 |
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|
| 723 |
"dim": 686
|
| 724 |
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|
| 725 |
{
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| 726 |
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| 727 |
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|
| 728 |
"end": 5285,
|
| 729 |
"dim": 686
|
| 730 |
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|
| 731 |
{
|
| 732 |
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| 733 |
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|
| 734 |
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| 735 |
"dim": 686
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| 736 |
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| 737 |
{
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| 738 |
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| 739 |
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|
| 740 |
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|
| 741 |
"dim": 686
|
| 742 |
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| 743 |
{
|
| 744 |
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| 745 |
"start": 6657,
|
| 746 |
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|
| 747 |
"dim": 686
|
| 748 |
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| 749 |
{
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| 750 |
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"name": "audio",
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| 751 |
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| 752 |
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|
| 753 |
"dim": 168
|
| 754 |
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|
| 755 |
{
|
| 756 |
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"name": "language text",
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| 757 |
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| 758 |
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| 759 |
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| 760 |
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{
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| 762 |
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| 763 |
"start": 8407,
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data/task_surface_integrity.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
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"generated_at_utc": "2026-06-
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| 4 |
"summary": {
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| 5 |
"task_count": 12,
|
| 6 |
"expected_task_count": 12,
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|
@@ -64,45 +64,45 @@
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|
| 64 |
"observed": "timeline_action"
|
| 65 |
},
|
| 66 |
{
|
| 67 |
-
"name": "timeline_action:
|
| 68 |
"status": "pass",
|
| 69 |
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"value": "
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| 70 |
"raw_hits": []
|
| 71 |
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|
| 72 |
{
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| 73 |
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"name": "timeline_action:
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| 74 |
"status": "pass",
|
| 75 |
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"value": "
|
| 76 |
"raw_hits": []
|
| 77 |
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|
| 78 |
{
|
| 79 |
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"name": "timeline_action:
|
| 80 |
"status": "pass",
|
| 81 |
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"value": "
|
| 82 |
"raw_hits": []
|
| 83 |
},
|
| 84 |
{
|
| 85 |
-
"name": "timeline_action:
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| 86 |
"status": "pass",
|
| 87 |
-
"value": "
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| 88 |
"raw_hits": []
|
| 89 |
},
|
| 90 |
{
|
| 91 |
-
"name": "timeline_action:
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| 92 |
"status": "pass",
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| 93 |
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"value": "
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| 94 |
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| 96 |
{
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| 97 |
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"name": "timeline_action:
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| 98 |
"status": "pass",
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| 99 |
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"value": "
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| 101 |
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| 102 |
{
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| 103 |
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"name": "timeline_action:
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| 104 |
"status": "pass",
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| 105 |
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"value": "
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| 106 |
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| 107 |
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| 108 |
{
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|
@@ -184,45 +184,45 @@
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|
| 184 |
"observed": "timeline_subtask"
|
| 185 |
},
|
| 186 |
{
|
| 187 |
-
"name": "timeline_subtask:
|
| 188 |
"status": "pass",
|
| 189 |
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"value": "
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| 190 |
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| 191 |
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| 192 |
{
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| 193 |
-
"name": "timeline_subtask:
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| 194 |
"status": "pass",
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| 195 |
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"value": "
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| 196 |
"raw_hits": []
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| 197 |
},
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| 198 |
{
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| 199 |
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"name": "timeline_subtask:
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| 200 |
"status": "pass",
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| 201 |
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"value": "
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| 202 |
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| 203 |
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| 204 |
{
|
| 205 |
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"name": "timeline_subtask:
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| 206 |
"status": "pass",
|
| 207 |
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"value": "
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| 208 |
"raw_hits": []
|
| 209 |
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|
| 210 |
{
|
| 211 |
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"name": "timeline_subtask:
|
| 212 |
"status": "pass",
|
| 213 |
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"value": "
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| 214 |
"raw_hits": []
|
| 215 |
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|
| 216 |
{
|
| 217 |
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"name": "timeline_subtask:
|
| 218 |
"status": "pass",
|
| 219 |
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"value": "
|
| 220 |
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|
| 221 |
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| 222 |
{
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| 223 |
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"name": "timeline_subtask:
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| 224 |
"status": "pass",
|
| 225 |
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| 226 |
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| 227 |
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| 228 |
{
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|
@@ -304,45 +304,45 @@
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|
| 304 |
"observed": "transition_detection"
|
| 305 |
},
|
| 306 |
{
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| 307 |
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"name": "transition_detection:
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| 308 |
"status": "pass",
|
| 309 |
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"value": "
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| 310 |
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|
| 311 |
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| 312 |
{
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| 313 |
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"name": "transition_detection:
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| 314 |
"status": "pass",
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| 315 |
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"value": "
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| 316 |
"raw_hits": []
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| 317 |
},
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| 318 |
{
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| 319 |
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"name": "transition_detection:
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| 320 |
"status": "pass",
|
| 321 |
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"value": "boundary
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| 322 |
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| 323 |
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| 324 |
{
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| 325 |
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| 326 |
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| 330 |
{
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| 331 |
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| 332 |
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| 333 |
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| 335 |
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| 336 |
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| 337 |
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| 338 |
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| 342 |
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| 343 |
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| 344 |
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| 347 |
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| 348 |
{
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|
@@ -422,45 +422,45 @@
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|
| 422 |
"observed": "next_action"
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| 423 |
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| 424 |
{
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| 426 |
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| 436 |
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| 448 |
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| 454 |
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| 455 |
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| 466 |
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|
@@ -540,45 +540,45 @@
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|
| 540 |
"observed": "hand_trajectory_forecast"
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| 541 |
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| 542 |
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| 543 |
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| 548 |
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| 549 |
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| 550 |
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| 554 |
{
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| 555 |
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| 556 |
"status": "pass",
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| 557 |
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| 558 |
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| 560 |
{
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| 561 |
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| 562 |
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| 563 |
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"value": "
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| 566 |
{
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| 567 |
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"name": "hand_trajectory_forecast:
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| 568 |
"status": "pass",
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| 569 |
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"value": "current multimodal
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| 570 |
"raw_hits": []
|
| 571 |
},
|
| 572 |
{
|
| 573 |
-
"name": "hand_trajectory_forecast:
|
| 574 |
"status": "pass",
|
| 575 |
-
"value": "
|
| 576 |
"raw_hits": []
|
| 577 |
},
|
| 578 |
{
|
| 579 |
-
"name": "hand_trajectory_forecast:
|
| 580 |
"status": "pass",
|
| 581 |
-
"value": "
|
| 582 |
"raw_hits": []
|
| 583 |
},
|
| 584 |
{
|
|
@@ -658,45 +658,45 @@
|
|
| 658 |
"observed": "contact_prediction"
|
| 659 |
},
|
| 660 |
{
|
| 661 |
-
"name": "contact_prediction:
|
| 662 |
"status": "pass",
|
| 663 |
-
"value": "
|
| 664 |
"raw_hits": []
|
| 665 |
},
|
| 666 |
{
|
| 667 |
-
"name": "contact_prediction:
|
| 668 |
"status": "pass",
|
| 669 |
-
"value": "
|
| 670 |
"raw_hits": []
|
| 671 |
},
|
| 672 |
{
|
| 673 |
-
"name": "contact_prediction:
|
| 674 |
"status": "pass",
|
| 675 |
-
"value": "
|
| 676 |
"raw_hits": []
|
| 677 |
},
|
| 678 |
{
|
| 679 |
-
"name": "contact_prediction:
|
| 680 |
"status": "pass",
|
| 681 |
-
"value": "
|
| 682 |
"raw_hits": []
|
| 683 |
},
|
| 684 |
{
|
| 685 |
-
"name": "contact_prediction:
|
| 686 |
"status": "pass",
|
| 687 |
-
"value": "
|
| 688 |
"raw_hits": []
|
| 689 |
},
|
| 690 |
{
|
| 691 |
-
"name": "contact_prediction:
|
| 692 |
"status": "pass",
|
| 693 |
-
"value": "
|
| 694 |
"raw_hits": []
|
| 695 |
},
|
| 696 |
{
|
| 697 |
-
"name": "contact_prediction:
|
| 698 |
"status": "pass",
|
| 699 |
-
"value": "
|
| 700 |
"raw_hits": []
|
| 701 |
},
|
| 702 |
{
|
|
@@ -774,45 +774,45 @@
|
|
| 774 |
"observed": "object_relevance"
|
| 775 |
},
|
| 776 |
{
|
| 777 |
-
"name": "object_relevance:
|
| 778 |
"status": "pass",
|
| 779 |
-
"value": "object
|
| 780 |
"raw_hits": []
|
| 781 |
},
|
| 782 |
{
|
| 783 |
-
"name": "object_relevance:
|
| 784 |
"status": "pass",
|
| 785 |
-
"value": "
|
| 786 |
"raw_hits": []
|
| 787 |
},
|
| 788 |
{
|
| 789 |
-
"name": "object_relevance:
|
| 790 |
"status": "pass",
|
| 791 |
-
"value": "
|
| 792 |
"raw_hits": []
|
| 793 |
},
|
| 794 |
{
|
| 795 |
-
"name": "object_relevance:
|
| 796 |
"status": "pass",
|
| 797 |
-
"value": "
|
| 798 |
"raw_hits": []
|
| 799 |
},
|
| 800 |
{
|
| 801 |
-
"name": "object_relevance:
|
| 802 |
"status": "pass",
|
| 803 |
-
"value": "non-caption
|
| 804 |
"raw_hits": []
|
| 805 |
},
|
| 806 |
{
|
| 807 |
-
"name": "object_relevance:
|
| 808 |
"status": "pass",
|
| 809 |
-
"value": "
|
| 810 |
"raw_hits": []
|
| 811 |
},
|
| 812 |
{
|
| 813 |
-
"name": "object_relevance:
|
| 814 |
"status": "pass",
|
| 815 |
-
"value": "
|
| 816 |
"raw_hits": []
|
| 817 |
},
|
| 818 |
{
|
|
@@ -892,45 +892,45 @@
|
|
| 892 |
"observed": "caption_grounding"
|
| 893 |
},
|
| 894 |
{
|
| 895 |
-
"name": "caption_grounding:
|
| 896 |
"status": "pass",
|
| 897 |
-
"value": "
|
| 898 |
"raw_hits": []
|
| 899 |
},
|
| 900 |
{
|
| 901 |
-
"name": "caption_grounding:
|
| 902 |
"status": "pass",
|
| 903 |
-
"value": "
|
| 904 |
"raw_hits": []
|
| 905 |
},
|
| 906 |
{
|
| 907 |
-
"name": "caption_grounding:
|
| 908 |
"status": "pass",
|
| 909 |
-
"value": "
|
| 910 |
"raw_hits": []
|
| 911 |
},
|
| 912 |
{
|
| 913 |
-
"name": "caption_grounding:
|
| 914 |
"status": "pass",
|
| 915 |
-
"value": "
|
| 916 |
"raw_hits": []
|
| 917 |
},
|
| 918 |
{
|
| 919 |
-
"name": "caption_grounding:
|
| 920 |
"status": "pass",
|
| 921 |
-
"value": "
|
| 922 |
"raw_hits": []
|
| 923 |
},
|
| 924 |
{
|
| 925 |
-
"name": "caption_grounding:
|
| 926 |
"status": "pass",
|
| 927 |
-
"value": "
|
| 928 |
"raw_hits": []
|
| 929 |
},
|
| 930 |
{
|
| 931 |
-
"name": "caption_grounding:
|
| 932 |
"status": "pass",
|
| 933 |
-
"value": "
|
| 934 |
"raw_hits": []
|
| 935 |
},
|
| 936 |
{
|
|
@@ -1008,45 +1008,45 @@
|
|
| 1008 |
"observed": "cross_modal_retrieval"
|
| 1009 |
},
|
| 1010 |
{
|
| 1011 |
-
"name": "cross_modal_retrieval:
|
| 1012 |
"status": "pass",
|
| 1013 |
-
"value": "
|
| 1014 |
"raw_hits": []
|
| 1015 |
},
|
| 1016 |
{
|
| 1017 |
-
"name": "cross_modal_retrieval:
|
| 1018 |
"status": "pass",
|
| 1019 |
-
"value": "
|
| 1020 |
"raw_hits": []
|
| 1021 |
},
|
| 1022 |
{
|
| 1023 |
-
"name": "cross_modal_retrieval:
|
| 1024 |
"status": "pass",
|
| 1025 |
-
"value": "
|
| 1026 |
"raw_hits": []
|
| 1027 |
},
|
| 1028 |
{
|
| 1029 |
-
"name": "cross_modal_retrieval:
|
| 1030 |
"status": "pass",
|
| 1031 |
-
"value": "
|
| 1032 |
"raw_hits": []
|
| 1033 |
},
|
| 1034 |
{
|
| 1035 |
-
"name": "cross_modal_retrieval:
|
| 1036 |
"status": "pass",
|
| 1037 |
-
"value": "motion
|
| 1038 |
"raw_hits": []
|
| 1039 |
},
|
| 1040 |
{
|
| 1041 |
-
"name": "cross_modal_retrieval:
|
| 1042 |
"status": "pass",
|
| 1043 |
-
"value": "
|
| 1044 |
"raw_hits": []
|
| 1045 |
},
|
| 1046 |
{
|
| 1047 |
-
"name": "cross_modal_retrieval:
|
| 1048 |
"status": "pass",
|
| 1049 |
-
"value": "
|
| 1050 |
"raw_hits": []
|
| 1051 |
},
|
| 1052 |
{
|
|
@@ -1126,45 +1126,45 @@
|
|
| 1126 |
"observed": "modality_reconstruction"
|
| 1127 |
},
|
| 1128 |
{
|
| 1129 |
-
"name": "modality_reconstruction:
|
| 1130 |
"status": "pass",
|
| 1131 |
-
"value": "
|
| 1132 |
"raw_hits": []
|
| 1133 |
},
|
| 1134 |
{
|
| 1135 |
-
"name": "modality_reconstruction:
|
| 1136 |
"status": "pass",
|
| 1137 |
-
"value": "
|
| 1138 |
"raw_hits": []
|
| 1139 |
},
|
| 1140 |
{
|
| 1141 |
-
"name": "modality_reconstruction:
|
| 1142 |
"status": "pass",
|
| 1143 |
-
"value": "
|
| 1144 |
"raw_hits": []
|
| 1145 |
},
|
| 1146 |
{
|
| 1147 |
-
"name": "modality_reconstruction:
|
| 1148 |
"status": "pass",
|
| 1149 |
-
"value": "
|
| 1150 |
"raw_hits": []
|
| 1151 |
},
|
| 1152 |
{
|
| 1153 |
-
"name": "modality_reconstruction:
|
| 1154 |
"status": "pass",
|
| 1155 |
-
"value": "motion, IMU, and camera
|
| 1156 |
"raw_hits": []
|
| 1157 |
},
|
| 1158 |
{
|
| 1159 |
-
"name": "modality_reconstruction:
|
| 1160 |
"status": "pass",
|
| 1161 |
-
"value": "
|
| 1162 |
"raw_hits": []
|
| 1163 |
},
|
| 1164 |
{
|
| 1165 |
-
"name": "modality_reconstruction:
|
| 1166 |
"status": "pass",
|
| 1167 |
-
"value": "
|
| 1168 |
"raw_hits": []
|
| 1169 |
},
|
| 1170 |
{
|
|
@@ -1244,45 +1244,45 @@
|
|
| 1244 |
"observed": "temporal_order"
|
| 1245 |
},
|
| 1246 |
{
|
| 1247 |
-
"name": "temporal_order:
|
| 1248 |
"status": "pass",
|
| 1249 |
-
"value": "
|
| 1250 |
"raw_hits": []
|
| 1251 |
},
|
| 1252 |
{
|
| 1253 |
-
"name": "temporal_order:
|
| 1254 |
"status": "pass",
|
| 1255 |
-
"value": "
|
| 1256 |
"raw_hits": []
|
| 1257 |
},
|
| 1258 |
{
|
| 1259 |
-
"name": "temporal_order:
|
| 1260 |
"status": "pass",
|
| 1261 |
-
"value": "
|
| 1262 |
"raw_hits": []
|
| 1263 |
},
|
| 1264 |
{
|
| 1265 |
-
"name": "temporal_order:
|
| 1266 |
"status": "pass",
|
| 1267 |
-
"value": "
|
| 1268 |
"raw_hits": []
|
| 1269 |
},
|
| 1270 |
{
|
| 1271 |
-
"name": "temporal_order:
|
| 1272 |
"status": "pass",
|
| 1273 |
-
"value": "two
|
| 1274 |
"raw_hits": []
|
| 1275 |
},
|
| 1276 |
{
|
| 1277 |
-
"name": "temporal_order:
|
| 1278 |
"status": "pass",
|
| 1279 |
-
"value": "
|
| 1280 |
"raw_hits": []
|
| 1281 |
},
|
| 1282 |
{
|
| 1283 |
-
"name": "temporal_order:
|
| 1284 |
"status": "pass",
|
| 1285 |
-
"value": "
|
| 1286 |
"raw_hits": []
|
| 1287 |
},
|
| 1288 |
{
|
|
@@ -1360,45 +1360,45 @@
|
|
| 1360 |
"observed": "misalignment_detection"
|
| 1361 |
},
|
| 1362 |
{
|
| 1363 |
-
"name": "misalignment_detection:
|
| 1364 |
"status": "pass",
|
| 1365 |
-
"value": "aligned
|
| 1366 |
"raw_hits": []
|
| 1367 |
},
|
| 1368 |
{
|
| 1369 |
-
"name": "misalignment_detection:
|
| 1370 |
"status": "pass",
|
| 1371 |
-
"value": "
|
| 1372 |
"raw_hits": []
|
| 1373 |
},
|
| 1374 |
{
|
| 1375 |
-
"name": "misalignment_detection:
|
| 1376 |
"status": "pass",
|
| 1377 |
-
"value": "aligned
|
| 1378 |
"raw_hits": []
|
| 1379 |
},
|
| 1380 |
{
|
| 1381 |
-
"name": "misalignment_detection:
|
| 1382 |
"status": "pass",
|
| 1383 |
-
"value": "
|
| 1384 |
"raw_hits": []
|
| 1385 |
},
|
| 1386 |
{
|
| 1387 |
-
"name": "misalignment_detection:
|
| 1388 |
"status": "pass",
|
| 1389 |
-
"value": "motion
|
| 1390 |
"raw_hits": []
|
| 1391 |
},
|
| 1392 |
{
|
| 1393 |
-
"name": "misalignment_detection:
|
| 1394 |
"status": "pass",
|
| 1395 |
-
"value": "
|
| 1396 |
"raw_hits": []
|
| 1397 |
},
|
| 1398 |
{
|
| 1399 |
-
"name": "misalignment_detection:
|
| 1400 |
"status": "pass",
|
| 1401 |
-
"value": "
|
| 1402 |
"raw_hits": []
|
| 1403 |
},
|
| 1404 |
{
|
|
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
+
"generated_at_utc": "2026-06-03T20:36:23+00:00",
|
| 4 |
"summary": {
|
| 5 |
"task_count": 12,
|
| 6 |
"expected_task_count": 12,
|
|
|
|
| 64 |
"observed": "timeline_action"
|
| 65 |
},
|
| 66 |
{
|
| 67 |
+
"name": "timeline_action: public_field_output_short_is_human_readable",
|
| 68 |
"status": "pass",
|
| 69 |
+
"value": "current action class",
|
| 70 |
"raw_hits": []
|
| 71 |
},
|
| 72 |
{
|
| 73 |
+
"name": "timeline_action: public_field_plain_goal_is_human_readable",
|
| 74 |
"status": "pass",
|
| 75 |
+
"value": "Look at one short multimodal window and name what action is happening now.",
|
| 76 |
"raw_hits": []
|
| 77 |
},
|
| 78 |
{
|
| 79 |
+
"name": "timeline_action: public_field_process_short_is_human_readable",
|
| 80 |
"status": "pass",
|
| 81 |
+
"value": "window features -> action label builder -> classifier",
|
| 82 |
"raw_hits": []
|
| 83 |
},
|
| 84 |
{
|
| 85 |
+
"name": "timeline_action: public_field_research_name_is_human_readable",
|
| 86 |
"status": "pass",
|
| 87 |
+
"value": "Egocentric Action Recognition",
|
| 88 |
"raw_hits": []
|
| 89 |
},
|
| 90 |
{
|
| 91 |
+
"name": "timeline_action: public_field_card_blurb_is_human_readable",
|
| 92 |
"status": "pass",
|
| 93 |
+
"value": "Recognize the current manipulation action from synchronized visual, motion, inertial, pose, and annotation context.",
|
| 94 |
"raw_hits": []
|
| 95 |
},
|
| 96 |
{
|
| 97 |
+
"name": "timeline_action: public_field_display_name_is_human_readable",
|
| 98 |
"status": "pass",
|
| 99 |
+
"value": "Action Recognition",
|
| 100 |
"raw_hits": []
|
| 101 |
},
|
| 102 |
{
|
| 103 |
+
"name": "timeline_action: public_field_input_short_is_human_readable",
|
| 104 |
"status": "pass",
|
| 105 |
+
"value": "20-frame multimodal window",
|
| 106 |
"raw_hits": []
|
| 107 |
},
|
| 108 |
{
|
|
|
|
| 184 |
"observed": "timeline_subtask"
|
| 185 |
},
|
| 186 |
{
|
| 187 |
+
"name": "timeline_subtask: public_field_output_short_is_human_readable",
|
| 188 |
"status": "pass",
|
| 189 |
+
"value": "current procedure step",
|
| 190 |
"raw_hits": []
|
| 191 |
},
|
| 192 |
{
|
| 193 |
+
"name": "timeline_subtask: public_field_plain_goal_is_human_readable",
|
| 194 |
"status": "pass",
|
| 195 |
+
"value": "Predict the higher-level task stage for the current window.",
|
| 196 |
"raw_hits": []
|
| 197 |
},
|
| 198 |
{
|
| 199 |
+
"name": "timeline_subtask: public_field_process_short_is_human_readable",
|
| 200 |
"status": "pass",
|
| 201 |
+
"value": "window features -> subtask label builder -> classifier",
|
| 202 |
"raw_hits": []
|
| 203 |
},
|
| 204 |
{
|
| 205 |
+
"name": "timeline_subtask: public_field_research_name_is_human_readable",
|
| 206 |
"status": "pass",
|
| 207 |
+
"value": "Temporal Subtask Recognition",
|
| 208 |
"raw_hits": []
|
| 209 |
},
|
| 210 |
{
|
| 211 |
+
"name": "timeline_subtask: public_field_card_blurb_is_human_readable",
|
| 212 |
"status": "pass",
|
| 213 |
+
"value": "Recognize the broader activity stage so fine actions become a readable procedure timeline.",
|
| 214 |
"raw_hits": []
|
| 215 |
},
|
| 216 |
{
|
| 217 |
+
"name": "timeline_subtask: public_field_display_name_is_human_readable",
|
| 218 |
"status": "pass",
|
| 219 |
+
"value": "Procedure Step Recognition",
|
| 220 |
"raw_hits": []
|
| 221 |
},
|
| 222 |
{
|
| 223 |
+
"name": "timeline_subtask: public_field_input_short_is_human_readable",
|
| 224 |
"status": "pass",
|
| 225 |
+
"value": "20-frame multimodal window",
|
| 226 |
"raw_hits": []
|
| 227 |
},
|
| 228 |
{
|
|
|
|
| 304 |
"observed": "transition_detection"
|
| 305 |
},
|
| 306 |
{
|
| 307 |
+
"name": "transition_detection: public_field_output_short_is_human_readable",
|
| 308 |
"status": "pass",
|
| 309 |
+
"value": "boundary or steady",
|
| 310 |
"raw_hits": []
|
| 311 |
},
|
| 312 |
{
|
| 313 |
+
"name": "transition_detection: public_field_plain_goal_is_human_readable",
|
| 314 |
"status": "pass",
|
| 315 |
+
"value": "Detect whether the current window is near a boundary between actions.",
|
| 316 |
"raw_hits": []
|
| 317 |
},
|
| 318 |
{
|
| 319 |
+
"name": "transition_detection: public_field_process_short_is_human_readable",
|
| 320 |
"status": "pass",
|
| 321 |
+
"value": "action changes -> boundary labels -> binary classifier",
|
| 322 |
"raw_hits": []
|
| 323 |
},
|
| 324 |
{
|
| 325 |
+
"name": "transition_detection: public_field_research_name_is_human_readable",
|
| 326 |
"status": "pass",
|
| 327 |
+
"value": "Temporal Action Segmentation",
|
| 328 |
"raw_hits": []
|
| 329 |
},
|
| 330 |
{
|
| 331 |
+
"name": "transition_detection: public_field_card_blurb_is_human_readable",
|
| 332 |
"status": "pass",
|
| 333 |
+
"value": "Detect the local moment where the episode changes from one action segment to the next.",
|
| 334 |
"raw_hits": []
|
| 335 |
},
|
| 336 |
{
|
| 337 |
+
"name": "transition_detection: public_field_display_name_is_human_readable",
|
| 338 |
"status": "pass",
|
| 339 |
+
"value": "Action Boundary Detection",
|
| 340 |
"raw_hits": []
|
| 341 |
},
|
| 342 |
{
|
| 343 |
+
"name": "transition_detection: public_field_input_short_is_human_readable",
|
| 344 |
"status": "pass",
|
| 345 |
+
"value": "current window with boundary target",
|
| 346 |
"raw_hits": []
|
| 347 |
},
|
| 348 |
{
|
|
|
|
| 422 |
"observed": "next_action"
|
| 423 |
},
|
| 424 |
{
|
| 425 |
+
"name": "next_action: public_field_output_short_is_human_readable",
|
| 426 |
"status": "pass",
|
| 427 |
+
"value": "action at t+20 frames",
|
| 428 |
"raw_hits": []
|
| 429 |
},
|
| 430 |
{
|
| 431 |
+
"name": "next_action: public_field_plain_goal_is_human_readable",
|
| 432 |
"status": "pass",
|
| 433 |
+
"value": "Use the current window to guess the action that will happen shortly after it.",
|
| 434 |
"raw_hits": []
|
| 435 |
},
|
| 436 |
{
|
| 437 |
+
"name": "next_action: public_field_process_short_is_human_readable",
|
| 438 |
"status": "pass",
|
| 439 |
+
"value": "current features -> future label shift -> classifier",
|
| 440 |
"raw_hits": []
|
| 441 |
},
|
| 442 |
{
|
| 443 |
+
"name": "next_action: public_field_research_name_is_human_readable",
|
| 444 |
"status": "pass",
|
| 445 |
+
"value": "Short-Horizon Intention Prediction",
|
| 446 |
"raw_hits": []
|
| 447 |
},
|
| 448 |
{
|
| 449 |
+
"name": "next_action: public_field_card_blurb_is_human_readable",
|
| 450 |
"status": "pass",
|
| 451 |
+
"value": "Forecast the near-future action from the current observations only.",
|
| 452 |
"raw_hits": []
|
| 453 |
},
|
| 454 |
{
|
| 455 |
+
"name": "next_action: public_field_display_name_is_human_readable",
|
| 456 |
"status": "pass",
|
| 457 |
+
"value": "Next-Action Prediction",
|
| 458 |
"raw_hits": []
|
| 459 |
},
|
| 460 |
{
|
| 461 |
+
"name": "next_action: public_field_input_short_is_human_readable",
|
| 462 |
"status": "pass",
|
| 463 |
+
"value": "current window at time t",
|
| 464 |
"raw_hits": []
|
| 465 |
},
|
| 466 |
{
|
|
|
|
| 540 |
"observed": "hand_trajectory_forecast"
|
| 541 |
},
|
| 542 |
{
|
| 543 |
+
"name": "hand_trajectory_forecast: public_field_output_short_is_human_readable",
|
| 544 |
"status": "pass",
|
| 545 |
+
"value": "future hand-joint trajectory",
|
| 546 |
"raw_hits": []
|
| 547 |
},
|
| 548 |
{
|
| 549 |
+
"name": "hand_trajectory_forecast: public_field_plain_goal_is_human_readable",
|
| 550 |
"status": "pass",
|
| 551 |
+
"value": "Predict where the hands will move over the next few frames.",
|
| 552 |
"raw_hits": []
|
| 553 |
},
|
| 554 |
{
|
| 555 |
+
"name": "hand_trajectory_forecast: public_field_process_short_is_human_readable",
|
| 556 |
"status": "pass",
|
| 557 |
+
"value": "current features -> future mocap target -> regression head",
|
| 558 |
"raw_hits": []
|
| 559 |
},
|
| 560 |
{
|
| 561 |
+
"name": "hand_trajectory_forecast: public_field_research_name_is_human_readable",
|
| 562 |
"status": "pass",
|
| 563 |
+
"value": "3D Hand Motion Forecasting",
|
| 564 |
"raw_hits": []
|
| 565 |
},
|
| 566 |
{
|
| 567 |
+
"name": "hand_trajectory_forecast: public_field_card_blurb_is_human_readable",
|
| 568 |
"status": "pass",
|
| 569 |
+
"value": "Predict the future 3D left/right hand path from the current multimodal state.",
|
| 570 |
"raw_hits": []
|
| 571 |
},
|
| 572 |
{
|
| 573 |
+
"name": "hand_trajectory_forecast: public_field_display_name_is_human_readable",
|
| 574 |
"status": "pass",
|
| 575 |
+
"value": "Hand Trajectory Forecasting",
|
| 576 |
"raw_hits": []
|
| 577 |
},
|
| 578 |
{
|
| 579 |
+
"name": "hand_trajectory_forecast: public_field_input_short_is_human_readable",
|
| 580 |
"status": "pass",
|
| 581 |
+
"value": "current multimodal window",
|
| 582 |
"raw_hits": []
|
| 583 |
},
|
| 584 |
{
|
|
|
|
| 658 |
"observed": "contact_prediction"
|
| 659 |
},
|
| 660 |
{
|
| 661 |
+
"name": "contact_prediction: public_field_output_short_is_human_readable",
|
| 662 |
"status": "pass",
|
| 663 |
+
"value": "contact or no contact",
|
| 664 |
"raw_hits": []
|
| 665 |
},
|
| 666 |
{
|
| 667 |
+
"name": "contact_prediction: public_field_plain_goal_is_human_readable",
|
| 668 |
"status": "pass",
|
| 669 |
+
"value": "Predict whether the body or hand is in contact with something.",
|
| 670 |
"raw_hits": []
|
| 671 |
},
|
| 672 |
{
|
| 673 |
+
"name": "contact_prediction: public_field_process_short_is_human_readable",
|
| 674 |
"status": "pass",
|
| 675 |
+
"value": "feature filter -> contact target -> binary classifier",
|
| 676 |
"raw_hits": []
|
| 677 |
},
|
| 678 |
{
|
| 679 |
+
"name": "contact_prediction: public_field_research_name_is_human_readable",
|
| 680 |
"status": "pass",
|
| 681 |
+
"value": "Human-Object Contact Prediction",
|
| 682 |
"raw_hits": []
|
| 683 |
},
|
| 684 |
{
|
| 685 |
+
"name": "contact_prediction: public_field_card_blurb_is_human_readable",
|
| 686 |
"status": "pass",
|
| 687 |
+
"value": "Predict whether body or hand contact with the scene is occurring without leaking contact labels.",
|
| 688 |
"raw_hits": []
|
| 689 |
},
|
| 690 |
{
|
| 691 |
+
"name": "contact_prediction: public_field_display_name_is_human_readable",
|
| 692 |
"status": "pass",
|
| 693 |
+
"value": "Contact State Prediction",
|
| 694 |
"raw_hits": []
|
| 695 |
},
|
| 696 |
{
|
| 697 |
+
"name": "contact_prediction: public_field_input_short_is_human_readable",
|
| 698 |
"status": "pass",
|
| 699 |
+
"value": "non-contact, non-caption features",
|
| 700 |
"raw_hits": []
|
| 701 |
},
|
| 702 |
{
|
|
|
|
| 774 |
"observed": "object_relevance"
|
| 775 |
},
|
| 776 |
{
|
| 777 |
+
"name": "object_relevance: public_field_output_short_is_human_readable",
|
| 778 |
"status": "pass",
|
| 779 |
+
"value": "relevant object set",
|
| 780 |
"raw_hits": []
|
| 781 |
},
|
| 782 |
{
|
| 783 |
+
"name": "object_relevance: public_field_plain_goal_is_human_readable",
|
| 784 |
"status": "pass",
|
| 785 |
+
"value": "Predict which objects matter in the current window.",
|
| 786 |
"raw_hits": []
|
| 787 |
},
|
| 788 |
{
|
| 789 |
+
"name": "object_relevance: public_field_process_short_is_human_readable",
|
| 790 |
"status": "pass",
|
| 791 |
+
"value": "object vocabulary -> multi-hot labels -> sigmoid heads",
|
| 792 |
"raw_hits": []
|
| 793 |
},
|
| 794 |
{
|
| 795 |
+
"name": "object_relevance: public_field_research_name_is_human_readable",
|
| 796 |
"status": "pass",
|
| 797 |
+
"value": "Object-Centric Interaction Recognition",
|
| 798 |
"raw_hits": []
|
| 799 |
},
|
| 800 |
{
|
| 801 |
+
"name": "object_relevance: public_field_card_blurb_is_human_readable",
|
| 802 |
"status": "pass",
|
| 803 |
+
"value": "Infer which objects are relevant to the current manipulation window from non-caption features.",
|
| 804 |
"raw_hits": []
|
| 805 |
},
|
| 806 |
{
|
| 807 |
+
"name": "object_relevance: public_field_display_name_is_human_readable",
|
| 808 |
"status": "pass",
|
| 809 |
+
"value": "Object Relevance Prediction",
|
| 810 |
"raw_hits": []
|
| 811 |
},
|
| 812 |
{
|
| 813 |
+
"name": "object_relevance: public_field_input_short_is_human_readable",
|
| 814 |
"status": "pass",
|
| 815 |
+
"value": "non-caption multimodal features",
|
| 816 |
"raw_hits": []
|
| 817 |
},
|
| 818 |
{
|
|
|
|
| 892 |
"observed": "caption_grounding"
|
| 893 |
},
|
| 894 |
{
|
| 895 |
+
"name": "caption_grounding: public_field_output_short_is_human_readable",
|
| 896 |
"status": "pass",
|
| 897 |
+
"value": "ranked matching moments",
|
| 898 |
"raw_hits": []
|
| 899 |
},
|
| 900 |
{
|
| 901 |
+
"name": "caption_grounding: public_field_plain_goal_is_human_readable",
|
| 902 |
"status": "pass",
|
| 903 |
+
"value": "Given a text-like query from annotation, find the matching time window.",
|
| 904 |
"raw_hits": []
|
| 905 |
},
|
| 906 |
{
|
| 907 |
+
"name": "caption_grounding: public_field_process_short_is_human_readable",
|
| 908 |
"status": "pass",
|
| 909 |
+
"value": "query features -> candidate index -> cosine ranker",
|
| 910 |
"raw_hits": []
|
| 911 |
},
|
| 912 |
{
|
| 913 |
+
"name": "caption_grounding: public_field_research_name_is_human_readable",
|
| 914 |
"status": "pass",
|
| 915 |
+
"value": "Language-to-Moment Grounding",
|
| 916 |
"raw_hits": []
|
| 917 |
},
|
| 918 |
{
|
| 919 |
+
"name": "caption_grounding: public_field_card_blurb_is_human_readable",
|
| 920 |
"status": "pass",
|
| 921 |
+
"value": "Retrieve the matching time window for an annotation-derived text query.",
|
| 922 |
"raw_hits": []
|
| 923 |
},
|
| 924 |
{
|
| 925 |
+
"name": "caption_grounding: public_field_display_name_is_human_readable",
|
| 926 |
"status": "pass",
|
| 927 |
+
"value": "Language Grounding",
|
| 928 |
"raw_hits": []
|
| 929 |
},
|
| 930 |
{
|
| 931 |
+
"name": "caption_grounding: public_field_input_short_is_human_readable",
|
| 932 |
"status": "pass",
|
| 933 |
+
"value": "text-like query and candidate windows",
|
| 934 |
"raw_hits": []
|
| 935 |
},
|
| 936 |
{
|
|
|
|
| 1008 |
"observed": "cross_modal_retrieval"
|
| 1009 |
},
|
| 1010 |
{
|
| 1011 |
+
"name": "cross_modal_retrieval: public_field_output_short_is_human_readable",
|
| 1012 |
"status": "pass",
|
| 1013 |
+
"value": "ranked visual windows",
|
| 1014 |
"raw_hits": []
|
| 1015 |
},
|
| 1016 |
{
|
| 1017 |
+
"name": "cross_modal_retrieval: public_field_plain_goal_is_human_readable",
|
| 1018 |
"status": "pass",
|
| 1019 |
+
"value": "Use one group of modalities to retrieve the matching window from another group.",
|
| 1020 |
"raw_hits": []
|
| 1021 |
},
|
| 1022 |
{
|
| 1023 |
+
"name": "cross_modal_retrieval: public_field_process_short_is_human_readable",
|
| 1024 |
"status": "pass",
|
| 1025 |
+
"value": "modality split -> projection -> nearest-neighbor ranker",
|
| 1026 |
"raw_hits": []
|
| 1027 |
},
|
| 1028 |
{
|
| 1029 |
+
"name": "cross_modal_retrieval: public_field_research_name_is_human_readable",
|
| 1030 |
"status": "pass",
|
| 1031 |
+
"value": "Multimodal Representation Retrieval",
|
| 1032 |
"raw_hits": []
|
| 1033 |
},
|
| 1034 |
{
|
| 1035 |
+
"name": "cross_modal_retrieval: public_field_card_blurb_is_human_readable",
|
| 1036 |
"status": "pass",
|
| 1037 |
+
"value": "Use motion, IMU, and camera-pose signals to retrieve the matching depth/video window.",
|
| 1038 |
"raw_hits": []
|
| 1039 |
},
|
| 1040 |
{
|
| 1041 |
+
"name": "cross_modal_retrieval: public_field_display_name_is_human_readable",
|
| 1042 |
"status": "pass",
|
| 1043 |
+
"value": "Cross-Modal Retrieval",
|
| 1044 |
"raw_hits": []
|
| 1045 |
},
|
| 1046 |
{
|
| 1047 |
+
"name": "cross_modal_retrieval: public_field_input_short_is_human_readable",
|
| 1048 |
"status": "pass",
|
| 1049 |
+
"value": "motion/IMU/pose query; depth/video candidates",
|
| 1050 |
"raw_hits": []
|
| 1051 |
},
|
| 1052 |
{
|
|
|
|
| 1126 |
"observed": "modality_reconstruction"
|
| 1127 |
},
|
| 1128 |
{
|
| 1129 |
+
"name": "modality_reconstruction: public_field_output_short_is_human_readable",
|
| 1130 |
"status": "pass",
|
| 1131 |
+
"value": "reconstructed depth/video vector",
|
| 1132 |
"raw_hits": []
|
| 1133 |
},
|
| 1134 |
{
|
| 1135 |
+
"name": "modality_reconstruction: public_field_plain_goal_is_human_readable",
|
| 1136 |
"status": "pass",
|
| 1137 |
+
"value": "Predict one modality feature block from other modality blocks.",
|
| 1138 |
"raw_hits": []
|
| 1139 |
},
|
| 1140 |
{
|
| 1141 |
+
"name": "modality_reconstruction: public_field_process_short_is_human_readable",
|
| 1142 |
"status": "pass",
|
| 1143 |
+
"value": "source-target split -> scaler -> regression head",
|
| 1144 |
"raw_hits": []
|
| 1145 |
},
|
| 1146 |
{
|
| 1147 |
+
"name": "modality_reconstruction: public_field_research_name_is_human_readable",
|
| 1148 |
"status": "pass",
|
| 1149 |
+
"value": "Modality Feature Reconstruction",
|
| 1150 |
"raw_hits": []
|
| 1151 |
},
|
| 1152 |
{
|
| 1153 |
+
"name": "modality_reconstruction: public_field_card_blurb_is_human_readable",
|
| 1154 |
"status": "pass",
|
| 1155 |
+
"value": "Predict compressed depth/video feature vectors from motion, IMU, and camera-pose features.",
|
| 1156 |
"raw_hits": []
|
| 1157 |
},
|
| 1158 |
{
|
| 1159 |
+
"name": "modality_reconstruction: public_field_display_name_is_human_readable",
|
| 1160 |
"status": "pass",
|
| 1161 |
+
"value": "Cross-Modal Reconstruction",
|
| 1162 |
"raw_hits": []
|
| 1163 |
},
|
| 1164 |
{
|
| 1165 |
+
"name": "modality_reconstruction: public_field_input_short_is_human_readable",
|
| 1166 |
"status": "pass",
|
| 1167 |
+
"value": "motion, IMU, and camera/pose features",
|
| 1168 |
"raw_hits": []
|
| 1169 |
},
|
| 1170 |
{
|
|
|
|
| 1244 |
"observed": "temporal_order"
|
| 1245 |
},
|
| 1246 |
{
|
| 1247 |
+
"name": "temporal_order: public_field_output_short_is_human_readable",
|
| 1248 |
"status": "pass",
|
| 1249 |
+
"value": "correct or reversed",
|
| 1250 |
"raw_hits": []
|
| 1251 |
},
|
| 1252 |
{
|
| 1253 |
+
"name": "temporal_order: public_field_plain_goal_is_human_readable",
|
| 1254 |
"status": "pass",
|
| 1255 |
+
"value": "Tell whether two nearby windows are in the correct time order.",
|
| 1256 |
"raw_hits": []
|
| 1257 |
},
|
| 1258 |
{
|
| 1259 |
+
"name": "temporal_order: public_field_process_short_is_human_readable",
|
| 1260 |
"status": "pass",
|
| 1261 |
+
"value": "pair builder -> feature combiner -> binary classifier",
|
| 1262 |
"raw_hits": []
|
| 1263 |
},
|
| 1264 |
{
|
| 1265 |
+
"name": "temporal_order: public_field_research_name_is_human_readable",
|
| 1266 |
"status": "pass",
|
| 1267 |
+
"value": "Temporal Order Verification",
|
| 1268 |
"raw_hits": []
|
| 1269 |
},
|
| 1270 |
{
|
| 1271 |
+
"name": "temporal_order: public_field_card_blurb_is_human_readable",
|
| 1272 |
"status": "pass",
|
| 1273 |
+
"value": "Tell whether two neighboring windows are in chronological order or reversed.",
|
| 1274 |
"raw_hits": []
|
| 1275 |
},
|
| 1276 |
{
|
| 1277 |
+
"name": "temporal_order: public_field_display_name_is_human_readable",
|
| 1278 |
"status": "pass",
|
| 1279 |
+
"value": "Temporal Order Verification",
|
| 1280 |
"raw_hits": []
|
| 1281 |
},
|
| 1282 |
{
|
| 1283 |
+
"name": "temporal_order: public_field_input_short_is_human_readable",
|
| 1284 |
"status": "pass",
|
| 1285 |
+
"value": "two adjacent windows plus difference vector",
|
| 1286 |
"raw_hits": []
|
| 1287 |
},
|
| 1288 |
{
|
|
|
|
| 1360 |
"observed": "misalignment_detection"
|
| 1361 |
},
|
| 1362 |
{
|
| 1363 |
+
"name": "misalignment_detection: public_field_output_short_is_human_readable",
|
| 1364 |
"status": "pass",
|
| 1365 |
+
"value": "aligned or shifted",
|
| 1366 |
"raw_hits": []
|
| 1367 |
},
|
| 1368 |
{
|
| 1369 |
+
"name": "misalignment_detection: public_field_plain_goal_is_human_readable",
|
| 1370 |
"status": "pass",
|
| 1371 |
+
"value": "Detect when modalities that should match are shifted out of sync.",
|
| 1372 |
"raw_hits": []
|
| 1373 |
},
|
| 1374 |
{
|
| 1375 |
+
"name": "misalignment_detection: public_field_process_short_is_human_readable",
|
| 1376 |
"status": "pass",
|
| 1377 |
+
"value": "aligned/shifted pairs -> feature combiner -> binary classifier",
|
| 1378 |
"raw_hits": []
|
| 1379 |
},
|
| 1380 |
{
|
| 1381 |
+
"name": "misalignment_detection: public_field_research_name_is_human_readable",
|
| 1382 |
"status": "pass",
|
| 1383 |
+
"value": "Cross-Modal Misalignment Detection",
|
| 1384 |
"raw_hits": []
|
| 1385 |
},
|
| 1386 |
{
|
| 1387 |
+
"name": "misalignment_detection: public_field_card_blurb_is_human_readable",
|
| 1388 |
"status": "pass",
|
| 1389 |
+
"value": "Detect whether motion and visual/depth streams have been artificially shifted out of sync.",
|
| 1390 |
"raw_hits": []
|
| 1391 |
},
|
| 1392 |
{
|
| 1393 |
+
"name": "misalignment_detection: public_field_display_name_is_human_readable",
|
| 1394 |
"status": "pass",
|
| 1395 |
+
"value": "Multimodal Synchronization Detection",
|
| 1396 |
"raw_hits": []
|
| 1397 |
},
|
| 1398 |
{
|
| 1399 |
+
"name": "misalignment_detection: public_field_input_short_is_human_readable",
|
| 1400 |
"status": "pass",
|
| 1401 |
+
"value": "motion-side and visual/depth-side feature groups",
|
| 1402 |
"raw_hits": []
|
| 1403 |
},
|
| 1404 |
{
|
data/website_integrity.json
CHANGED
|
@@ -1,14 +1,14 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"docs_root": "docs",
|
| 5 |
"site_base": "/ropedia-xperience-10m-task-suite/",
|
| 6 |
"summary": {
|
| 7 |
"html_pages": 4,
|
| 8 |
-
"local_references":
|
| 9 |
-
"external_reference_count":
|
| 10 |
-
"json_files":
|
| 11 |
-
"image_assets_referenced":
|
| 12 |
"failure_count": 0
|
| 13 |
},
|
| 14 |
"failures": {
|
|
@@ -74,8 +74,8 @@
|
|
| 74 |
"name": "project_overview_precedes_progress_ledger",
|
| 75 |
"status": "pass",
|
| 76 |
"reason": "The project overview should appear before the deeper progress ledger.",
|
| 77 |
-
"overview_index":
|
| 78 |
-
"evidence_index":
|
| 79 |
},
|
| 80 |
{
|
| 81 |
"name": "project_status_links_json",
|
|
@@ -125,7 +125,7 @@
|
|
| 125 |
"name": "roadmap_html_matches_json_phases",
|
| 126 |
"status": "pass",
|
| 127 |
"reason": "The roadmap section should show every stage defined in research_roadmap.json.",
|
| 128 |
-
"phase_count":
|
| 129 |
"missing_phase_names": [],
|
| 130 |
"roadmap_json_error": null
|
| 131 |
},
|
|
@@ -133,11 +133,12 @@
|
|
| 133 |
"name": "roadmap_status_chips_match_json",
|
| 134 |
"status": "pass",
|
| 135 |
"reason": "The roadmap status chips should match the phase statuses in research_roadmap.json.",
|
| 136 |
-
"phase_count":
|
| 137 |
"statuses": [
|
| 138 |
"implemented",
|
| 139 |
"active",
|
| 140 |
"next",
|
|
|
|
| 141 |
"planned",
|
| 142 |
"planned"
|
| 143 |
],
|
|
@@ -148,9 +149,9 @@
|
|
| 148 |
"name": "evaluation_protocol_between_overview_and_progress",
|
| 149 |
"status": "pass",
|
| 150 |
"reason": "The evaluation protocol should appear before the deeper evidence ledger.",
|
| 151 |
-
"overview_index":
|
| 152 |
-
"protocol_index":
|
| 153 |
-
"evidence_index":
|
| 154 |
},
|
| 155 |
{
|
| 156 |
"name": "evaluation_protocol_links_json",
|
|
@@ -168,8 +169,8 @@
|
|
| 168 |
"name": "suite_task_map_precedes_modality_atlas",
|
| 169 |
"status": "pass",
|
| 170 |
"reason": "The Suite anchor should show the full 12-task map before the modality atlas.",
|
| 171 |
-
"first_marker_index":
|
| 172 |
-
"second_marker_index":
|
| 173 |
},
|
| 174 |
{
|
| 175 |
"name": "suite_modality_atlas_contains_seven_cards",
|
|
@@ -224,13 +225,13 @@
|
|
| 224 |
{
|
| 225 |
"path": "index.html",
|
| 226 |
"id_count": 75,
|
| 227 |
-
"reference_count":
|
| 228 |
-
"image_count":
|
| 229 |
},
|
| 230 |
{
|
| 231 |
"path": "research_roadmap.html",
|
| 232 |
"id_count": 15,
|
| 233 |
-
"reference_count":
|
| 234 |
"image_count": 1
|
| 235 |
},
|
| 236 |
{
|
|
@@ -243,7 +244,12 @@
|
|
| 243 |
"json_files": [
|
| 244 |
{
|
| 245 |
"path": "data/artifact_index.json",
|
| 246 |
-
"bytes":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 247 |
"top_level_type": "dict"
|
| 248 |
},
|
| 249 |
{
|
|
@@ -253,12 +259,12 @@
|
|
| 253 |
},
|
| 254 |
{
|
| 255 |
"path": "data/evaluation_protocol.json",
|
| 256 |
-
"bytes":
|
| 257 |
"top_level_type": "dict"
|
| 258 |
},
|
| 259 |
{
|
| 260 |
"path": "data/evidence_contract.json",
|
| 261 |
-
"bytes":
|
| 262 |
"top_level_type": "dict"
|
| 263 |
},
|
| 264 |
{
|
|
@@ -266,54 +272,59 @@
|
|
| 266 |
"bytes": 13434,
|
| 267 |
"top_level_type": "dict"
|
| 268 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 269 |
{
|
| 270 |
"path": "data/live_publication_status.json",
|
| 271 |
-
"bytes":
|
| 272 |
"top_level_type": "dict"
|
| 273 |
},
|
| 274 |
{
|
| 275 |
"path": "data/mirror_parity.json",
|
| 276 |
-
"bytes":
|
| 277 |
"top_level_type": "dict"
|
| 278 |
},
|
| 279 |
{
|
| 280 |
"path": "data/modality_atlas.json",
|
| 281 |
-
"bytes":
|
| 282 |
"top_level_type": "dict"
|
| 283 |
},
|
| 284 |
{
|
| 285 |
"path": "data/project_brief.json",
|
| 286 |
-
"bytes":
|
| 287 |
"top_level_type": "dict"
|
| 288 |
},
|
| 289 |
{
|
| 290 |
"path": "data/project_manifest.json",
|
| 291 |
-
"bytes":
|
| 292 |
"top_level_type": "dict"
|
| 293 |
},
|
| 294 |
{
|
| 295 |
"path": "data/project_packet.json",
|
| 296 |
-
"bytes":
|
| 297 |
"top_level_type": "dict"
|
| 298 |
},
|
| 299 |
{
|
| 300 |
"path": "data/project_status.json",
|
| 301 |
-
"bytes":
|
| 302 |
"top_level_type": "dict"
|
| 303 |
},
|
| 304 |
{
|
| 305 |
"path": "data/public_surface_qa.json",
|
| 306 |
-
"bytes":
|
| 307 |
"top_level_type": "dict"
|
| 308 |
},
|
| 309 |
{
|
| 310 |
"path": "data/publication_audit.json",
|
| 311 |
-
"bytes":
|
| 312 |
"top_level_type": "dict"
|
| 313 |
},
|
| 314 |
{
|
| 315 |
"path": "data/quality_gates.json",
|
| 316 |
-
"bytes":
|
| 317 |
"top_level_type": "dict"
|
| 318 |
},
|
| 319 |
{
|
|
@@ -323,12 +334,12 @@
|
|
| 323 |
},
|
| 324 |
{
|
| 325 |
"path": "data/reproducibility_matrix.json",
|
| 326 |
-
"bytes":
|
| 327 |
"top_level_type": "dict"
|
| 328 |
},
|
| 329 |
{
|
| 330 |
"path": "data/research_direction_extensions.json",
|
| 331 |
-
"bytes":
|
| 332 |
"top_level_type": "dict"
|
| 333 |
},
|
| 334 |
{
|
|
@@ -338,17 +349,17 @@
|
|
| 338 |
},
|
| 339 |
{
|
| 340 |
"path": "data/research_roadmap.json",
|
| 341 |
-
"bytes":
|
| 342 |
"top_level_type": "dict"
|
| 343 |
},
|
| 344 |
{
|
| 345 |
"path": "data/research_roadmap_interactive.json",
|
| 346 |
-
"bytes":
|
| 347 |
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|
| 348 |
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|
| 349 |
{
|
| 350 |
"path": "data/research_takeaways.json",
|
| 351 |
-
"bytes":
|
| 352 |
"top_level_type": "dict"
|
| 353 |
},
|
| 354 |
{
|
|
@@ -358,37 +369,37 @@
|
|
| 358 |
},
|
| 359 |
{
|
| 360 |
"path": "data/single_episode_explorer.json",
|
| 361 |
-
"bytes":
|
| 362 |
"top_level_type": "dict"
|
| 363 |
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|
| 364 |
{
|
| 365 |
"path": "data/source_alignment_audit.json",
|
| 366 |
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|
| 367 |
"top_level_type": "dict"
|
| 368 |
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|
| 369 |
{
|
| 370 |
"path": "data/summary_metrics.json",
|
| 371 |
-
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|
| 372 |
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|
| 373 |
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|
| 374 |
{
|
| 375 |
"path": "data/task_surface_integrity.json",
|
| 376 |
-
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|
| 377 |
"top_level_type": "dict"
|
| 378 |
},
|
| 379 |
{
|
| 380 |
"path": "data/task_walkthroughs.json",
|
| 381 |
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|
| 382 |
"top_level_type": "dict"
|
| 383 |
},
|
| 384 |
{
|
| 385 |
"path": "data/website_integrity.json",
|
| 386 |
-
"bytes":
|
| 387 |
"top_level_type": "dict"
|
| 388 |
},
|
| 389 |
{
|
| 390 |
"path": "data/xperience10m_dataset_card_alignment.json",
|
| 391 |
-
"bytes":
|
| 392 |
"top_level_type": "dict"
|
| 393 |
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|
| 394 |
],
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|
@@ -409,6 +420,13 @@
|
|
| 409 |
"height": 192,
|
| 410 |
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|
| 411 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 412 |
{
|
| 413 |
"path": "assets/charts/cross_modal_retrieval.svg",
|
| 414 |
"exists": true,
|
|
@@ -440,7 +458,7 @@
|
|
| 440 |
{
|
| 441 |
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|
| 442 |
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|
| 443 |
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|
| 444 |
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|
| 445 |
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|
| 446 |
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|
|
@@ -524,7 +542,7 @@
|
|
| 524 |
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|
| 525 |
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|
| 526 |
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|
| 527 |
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|
| 528 |
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|
| 529 |
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|
| 530 |
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|
|
@@ -532,7 +550,7 @@
|
|
| 532 |
{
|
| 533 |
"path": "assets/task_architectures.png",
|
| 534 |
"exists": true,
|
| 535 |
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|
| 536 |
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|
| 537 |
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|
| 538 |
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|
@@ -540,7 +558,7 @@
|
|
| 540 |
{
|
| 541 |
"path": "assets/task_suite_infographic.png",
|
| 542 |
"exists": true,
|
| 543 |
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|
| 544 |
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|
| 545 |
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|
| 546 |
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|
|
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
+
"generated_at_utc": "2026-06-03T20:35:48+00:00",
|
| 4 |
"docs_root": "docs",
|
| 5 |
"site_base": "/ropedia-xperience-10m-task-suite/",
|
| 6 |
"summary": {
|
| 7 |
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|
| 8 |
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"local_references": 142,
|
| 9 |
+
"external_reference_count": 91,
|
| 10 |
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"json_files": 32,
|
| 11 |
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|
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| 14 |
"failures": {
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|
| 74 |
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|
| 75 |
"status": "pass",
|
| 76 |
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|
| 77 |
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| 78 |
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| 79 |
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| 80 |
{
|
| 81 |
"name": "project_status_links_json",
|
|
|
|
| 125 |
"name": "roadmap_html_matches_json_phases",
|
| 126 |
"status": "pass",
|
| 127 |
"reason": "The roadmap section should show every stage defined in research_roadmap.json.",
|
| 128 |
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|
| 129 |
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|
| 130 |
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| 131 |
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|
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|
| 133 |
"name": "roadmap_status_chips_match_json",
|
| 134 |
"status": "pass",
|
| 135 |
"reason": "The roadmap status chips should match the phase statuses in research_roadmap.json.",
|
| 136 |
+
"phase_count": 6,
|
| 137 |
"statuses": [
|
| 138 |
"implemented",
|
| 139 |
"active",
|
| 140 |
"next",
|
| 141 |
+
"next",
|
| 142 |
"planned",
|
| 143 |
"planned"
|
| 144 |
],
|
|
|
|
| 149 |
"name": "evaluation_protocol_between_overview_and_progress",
|
| 150 |
"status": "pass",
|
| 151 |
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|
| 152 |
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| 155 |
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| 156 |
{
|
| 157 |
"name": "evaluation_protocol_links_json",
|
|
|
|
| 169 |
"name": "suite_task_map_precedes_modality_atlas",
|
| 170 |
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|
| 171 |
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|
| 172 |
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|
| 173 |
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| 174 |
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| 175 |
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|
| 176 |
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|
| 225 |
{
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| 226 |
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|
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|
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|
| 229 |
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| 230 |
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| 231 |
{
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| 232 |
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|
| 233 |
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|
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| 236 |
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| 237 |
{
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|
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| 244 |
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| 246 |
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| 247 |
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|
| 253 |
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| 272 |
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data/xperience10m_dataset_card_alignment.json
CHANGED
|
@@ -171,7 +171,7 @@
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|
| 171 |
"validated_windows": 1161,
|
| 172 |
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|
| 173 |
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| 174 |
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| 175 |
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|
| 176 |
"neural_head_count": 12,
|
| 177 |
"covered_by_current_tasks": [
|
|
@@ -194,7 +194,7 @@
|
|
| 194 |
"neural rendering",
|
| 195 |
"policy learning",
|
| 196 |
"cross-episode generalization",
|
| 197 |
-
"real
|
| 198 |
]
|
| 199 |
},
|
| 200 |
"responsible_use_boundary": [
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|
|
|
| 171 |
"validated_windows": 1161,
|
| 172 |
"current_feature_dim": 8546,
|
| 173 |
"raw_data_redistributed": false,
|
| 174 |
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"audio_feature_status": "Audio is present in the sample MP4 streams and extracted into the current baseline feature vector.",
|
| 175 |
"implemented_task_count": 12,
|
| 176 |
"neural_head_count": 12,
|
| 177 |
"covered_by_current_tasks": [
|
|
|
|
| 194 |
"neural rendering",
|
| 195 |
"policy learning",
|
| 196 |
"cross-episode generalization",
|
| 197 |
+
"real held-out multi-episode Qwen3-Omni model quality"
|
| 198 |
]
|
| 199 |
},
|
| 200 |
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docs/data/artifact_index.json
CHANGED
|
@@ -1,6 +1,6 @@
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|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Task Suite Artifact Index",
|
| 3 |
-
"generated_at_utc": "2026-06-
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| 4 |
"status": "pass",
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"artifact_count": 72,
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"missing": [],
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@@ -40,8 +40,8 @@
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"surface": "repo_hf",
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"shows": "Gives first-pass readers a concise project shape before the detailed artifact trail.",
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| 42 |
"exists": true,
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"sha256": "
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{
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| 47 |
"id": "project_brief_json",
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|
@@ -51,8 +51,8 @@
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| 51 |
"surface": "website_hf",
|
| 52 |
"shows": "Machine-readable first-reader project brief for the website and Hugging Face mirrors.",
|
| 53 |
"exists": true,
|
| 54 |
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"bytes":
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| 55 |
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"sha256": "
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| 56 |
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| 57 |
{
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| 58 |
"id": "project_status",
|
|
@@ -62,8 +62,8 @@
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|
| 62 |
"surface": "repo_hf",
|
| 63 |
"shows": "Gives a compact current-state table for first-pass readers.",
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| 64 |
"exists": true,
|
| 65 |
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"bytes":
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| 66 |
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"sha256": "
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| 67 |
},
|
| 68 |
{
|
| 69 |
"id": "project_status_json",
|
|
@@ -73,8 +73,8 @@
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|
| 73 |
"surface": "website_hf",
|
| 74 |
"shows": "Machine-readable copy of the current project status for website and HF mirrors.",
|
| 75 |
"exists": true,
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| 76 |
-
"bytes":
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| 77 |
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"sha256": "
|
| 78 |
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| 79 |
{
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| 80 |
"id": "research_roadmap",
|
|
@@ -139,8 +139,8 @@
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|
| 139 |
"surface": "website_hf",
|
| 140 |
"shows": "Gives a short project path with scope status and public surfaces.",
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| 141 |
"exists": true,
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| 142 |
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"bytes":
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| 143 |
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"sha256": "
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| 145 |
{
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| 146 |
"id": "artifact_guide",
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|
@@ -173,7 +173,7 @@
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| 173 |
"shows": "Machine-readable upstream dataset-card, sample-card, and HF API alignment facts for website and HF mirrors.",
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| 174 |
"exists": true,
|
| 175 |
"bytes": 7559,
|
| 176 |
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| 177 |
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{
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| 179 |
"id": "source_alignment",
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|
@@ -195,7 +195,7 @@
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| 195 |
"shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
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| 196 |
"exists": true,
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| 197 |
"bytes": 4432,
|
| 198 |
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"sha256": "
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| 199 |
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| 200 |
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| 201 |
"id": "source_alignment_validator",
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@@ -216,8 +216,8 @@
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| 216 |
"surface": "repo_hf",
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| 217 |
"shows": "Publishes prepared Space, artifact dataset, and model bundles, including an explicit model-binary upload batch.",
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| 218 |
"exists": true,
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| 219 |
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"bytes":
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| 220 |
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| 221 |
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| 222 |
{
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| 223 |
"id": "evaluation_protocol",
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|
@@ -238,8 +238,8 @@
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|
| 238 |
"surface": "website_hf",
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| 239 |
"shows": "Machine-readable protocol generated from committed task metrics for website and HF mirrors.",
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| 240 |
"exists": true,
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| 241 |
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"bytes":
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| 242 |
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| 243 |
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| 244 |
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| 245 |
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|
@@ -426,7 +426,7 @@
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| 426 |
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| 427 |
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| 429 |
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| 431 |
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| 432 |
"id": "public_surface_qa",
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|
@@ -597,7 +597,7 @@
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| 597 |
"volatile": true,
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| 598 |
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{
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@@ -609,7 +609,7 @@
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| 609 |
"volatile": true,
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| 610 |
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| 611 |
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{
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@@ -654,8 +654,8 @@
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|
| 654 |
"surface": "website_hf",
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| 655 |
"shows": "Mirrors task metrics for the static dashboard.",
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| 656 |
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| 720 |
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| 721 |
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@@ -797,8 +797,8 @@
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| 797 |
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| 799 |
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{
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| 4 |
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| 5 |
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| 40 |
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| 47 |
"id": "project_brief_json",
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|
| 51 |
"surface": "website_hf",
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| 58 |
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| 62 |
"surface": "repo_hf",
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"id": "project_status_json",
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|
| 73 |
"surface": "website_hf",
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"id": "research_roadmap",
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|
|
| 139 |
"surface": "website_hf",
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| 146 |
"id": "artifact_guide",
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|
| 173 |
"shows": "Machine-readable upstream dataset-card, sample-card, and HF API alignment facts for website and HF mirrors.",
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| 195 |
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"surface": "repo_hf",
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"id": "multi_episode_access_status",
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| 808 |
"surface": "repo_hf",
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"shows": "Documents the public multi-episode access status and 32-episode pilot selection.",
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docs/data/live_publication_status.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Live Publication Status",
|
| 3 |
"status": "pass",
|
| 4 |
-
"checked_at_utc": "2026-06-
|
| 5 |
"scope": "Live GitHub Pages, GitHub raw, Hugging Face Space, artifact dataset, and model card mirrors.",
|
| 6 |
"hash_groups": [
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| 7 |
{
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|
@@ -57,40 +57,40 @@
|
|
| 57 |
"local": {
|
| 58 |
"path": "docs/data/quality_gates.json",
|
| 59 |
"exists": true,
|
| 60 |
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"bytes":
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| 62 |
},
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| 63 |
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| 64 |
"github_pages": {
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| 65 |
"ok": true,
|
| 66 |
"status_code": 200,
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"bytes":
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"sha256": "
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| 69 |
"final_url": "https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/data/quality_gates.json",
|
| 70 |
"url": "https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/data/quality_gates.json"
|
| 71 |
},
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"required_marker_count": 1,
|
|
|
|
| 1367 |
"ok": true,
|
| 1368 |
"status_code": 200,
|
| 1369 |
"bytes": 5631,
|
| 1370 |
+
"sha256": "0f61bee108f0dc72f48c4edd0ca194fc5d108bb0c5cb7bcc86c6eaa56f5fae64",
|
| 1371 |
+
"final_url": "https://huggingface.co/api/resolve-cache/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts/158596119de0485f1dc43119b741aa9023c12e7d/docs%2Fdata%2Fpublic_surface_qa.json"
|
| 1372 |
},
|
| 1373 |
"required_marker_count": 1,
|
| 1374 |
"missing_markers": [],
|
|
|
|
| 1384 |
"ok": true,
|
| 1385 |
"status_code": 200,
|
| 1386 |
"bytes": 5631,
|
| 1387 |
+
"sha256": "0f61bee108f0dc72f48c4edd0ca194fc5d108bb0c5cb7bcc86c6eaa56f5fae64",
|
| 1388 |
+
"final_url": "https://huggingface.co/api/resolve-cache/models/cy0307/ropedia-xperience-10m-task-baselines/c8910449789d0930586c8eef54fb3e0dc40f26ca/metrics%2Fpublic_surface_qa.json"
|
| 1389 |
},
|
| 1390 |
"required_marker_count": 1,
|
| 1391 |
"missing_markers": [],
|
docs/data/mirror_parity.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"hf_root": "hf_publish",
|
| 5 |
"summary": {
|
| 6 |
"group_count": 101,
|
|
@@ -71,27 +71,27 @@
|
|
| 71 |
"local": {
|
| 72 |
"path": "repo:docs/data/artifact_index.json",
|
| 73 |
"exists": true,
|
| 74 |
-
"bytes":
|
| 75 |
-
"sha256": "
|
| 76 |
},
|
| 77 |
"mirrors": {
|
| 78 |
"hf_space": {
|
| 79 |
"path": "hf_space:data/artifact_index.json",
|
| 80 |
"exists": true,
|
| 81 |
-
"bytes":
|
| 82 |
-
"sha256": "
|
| 83 |
},
|
| 84 |
"hf_artifacts": {
|
| 85 |
"path": "hf_artifacts:docs/data/artifact_index.json",
|
| 86 |
"exists": true,
|
| 87 |
-
"bytes":
|
| 88 |
-
"sha256": "
|
| 89 |
},
|
| 90 |
"hf_model": {
|
| 91 |
"path": "hf_model:metrics/artifact_index.json",
|
| 92 |
"exists": true,
|
| 93 |
-
"bytes":
|
| 94 |
-
"sha256": "
|
| 95 |
}
|
| 96 |
},
|
| 97 |
"failures": []
|
|
@@ -258,26 +258,26 @@
|
|
| 258 |
"path": "repo:docs/data/live_publication_status.json",
|
| 259 |
"exists": true,
|
| 260 |
"bytes": 68749,
|
| 261 |
-
"sha256": "
|
| 262 |
},
|
| 263 |
"mirrors": {
|
| 264 |
"hf_space": {
|
| 265 |
"path": "hf_space:data/live_publication_status.json",
|
| 266 |
"exists": true,
|
| 267 |
"bytes": 68749,
|
| 268 |
-
"sha256": "
|
| 269 |
},
|
| 270 |
"hf_artifacts": {
|
| 271 |
"path": "hf_artifacts:docs/data/live_publication_status.json",
|
| 272 |
"exists": true,
|
| 273 |
"bytes": 68749,
|
| 274 |
-
"sha256": "
|
| 275 |
},
|
| 276 |
"hf_model": {
|
| 277 |
"path": "hf_model:metrics/live_publication_status.json",
|
| 278 |
"exists": true,
|
| 279 |
"bytes": 68749,
|
| 280 |
-
"sha256": "
|
| 281 |
}
|
| 282 |
},
|
| 283 |
"failures": []
|
|
@@ -319,27 +319,27 @@
|
|
| 319 |
"local": {
|
| 320 |
"path": "repo:docs/data/project_brief.json",
|
| 321 |
"exists": true,
|
| 322 |
-
"bytes":
|
| 323 |
-
"sha256": "
|
| 324 |
},
|
| 325 |
"mirrors": {
|
| 326 |
"hf_space": {
|
| 327 |
"path": "hf_space:data/project_brief.json",
|
| 328 |
"exists": true,
|
| 329 |
-
"bytes":
|
| 330 |
-
"sha256": "
|
| 331 |
},
|
| 332 |
"hf_artifacts": {
|
| 333 |
"path": "hf_artifacts:docs/data/project_brief.json",
|
| 334 |
"exists": true,
|
| 335 |
-
"bytes":
|
| 336 |
-
"sha256": "
|
| 337 |
},
|
| 338 |
"hf_model": {
|
| 339 |
"path": "hf_model:metrics/project_brief.json",
|
| 340 |
"exists": true,
|
| 341 |
-
"bytes":
|
| 342 |
-
"sha256": "
|
| 343 |
}
|
| 344 |
},
|
| 345 |
"failures": []
|
|
@@ -381,27 +381,27 @@
|
|
| 381 |
"local": {
|
| 382 |
"path": "repo:docs/data/project_packet.json",
|
| 383 |
"exists": true,
|
| 384 |
-
"bytes":
|
| 385 |
-
"sha256": "
|
| 386 |
},
|
| 387 |
"mirrors": {
|
| 388 |
"hf_space": {
|
| 389 |
"path": "hf_space:data/project_packet.json",
|
| 390 |
"exists": true,
|
| 391 |
-
"bytes":
|
| 392 |
-
"sha256": "
|
| 393 |
},
|
| 394 |
"hf_artifacts": {
|
| 395 |
"path": "hf_artifacts:docs/data/project_packet.json",
|
| 396 |
"exists": true,
|
| 397 |
-
"bytes":
|
| 398 |
-
"sha256": "
|
| 399 |
},
|
| 400 |
"hf_model": {
|
| 401 |
"path": "hf_model:metrics/project_packet.json",
|
| 402 |
"exists": true,
|
| 403 |
-
"bytes":
|
| 404 |
-
"sha256": "
|
| 405 |
}
|
| 406 |
},
|
| 407 |
"failures": []
|
|
@@ -412,27 +412,27 @@
|
|
| 412 |
"local": {
|
| 413 |
"path": "repo:docs/data/project_status.json",
|
| 414 |
"exists": true,
|
| 415 |
-
"bytes":
|
| 416 |
-
"sha256": "
|
| 417 |
},
|
| 418 |
"mirrors": {
|
| 419 |
"hf_space": {
|
| 420 |
"path": "hf_space:data/project_status.json",
|
| 421 |
"exists": true,
|
| 422 |
-
"bytes":
|
| 423 |
-
"sha256": "
|
| 424 |
},
|
| 425 |
"hf_artifacts": {
|
| 426 |
"path": "hf_artifacts:docs/data/project_status.json",
|
| 427 |
"exists": true,
|
| 428 |
-
"bytes":
|
| 429 |
-
"sha256": "
|
| 430 |
},
|
| 431 |
"hf_model": {
|
| 432 |
"path": "hf_model:metrics/project_status.json",
|
| 433 |
"exists": true,
|
| 434 |
-
"bytes":
|
| 435 |
-
"sha256": "
|
| 436 |
}
|
| 437 |
},
|
| 438 |
"failures": []
|
|
@@ -444,26 +444,26 @@
|
|
| 444 |
"path": "repo:docs/data/publication_audit.json",
|
| 445 |
"exists": true,
|
| 446 |
"bytes": 7289,
|
| 447 |
-
"sha256": "
|
| 448 |
},
|
| 449 |
"mirrors": {
|
| 450 |
"hf_space": {
|
| 451 |
"path": "hf_space:data/publication_audit.json",
|
| 452 |
"exists": true,
|
| 453 |
"bytes": 7289,
|
| 454 |
-
"sha256": "
|
| 455 |
},
|
| 456 |
"hf_artifacts": {
|
| 457 |
"path": "hf_artifacts:docs/data/publication_audit.json",
|
| 458 |
"exists": true,
|
| 459 |
"bytes": 7289,
|
| 460 |
-
"sha256": "
|
| 461 |
},
|
| 462 |
"hf_model": {
|
| 463 |
"path": "hf_model:metrics/publication_audit.json",
|
| 464 |
"exists": true,
|
| 465 |
"bytes": 7289,
|
| 466 |
-
"sha256": "
|
| 467 |
}
|
| 468 |
},
|
| 469 |
"failures": []
|
|
@@ -475,26 +475,26 @@
|
|
| 475 |
"path": "repo:docs/data/public_surface_qa.json",
|
| 476 |
"exists": true,
|
| 477 |
"bytes": 5631,
|
| 478 |
-
"sha256": "
|
| 479 |
},
|
| 480 |
"mirrors": {
|
| 481 |
"hf_space": {
|
| 482 |
"path": "hf_space:data/public_surface_qa.json",
|
| 483 |
"exists": true,
|
| 484 |
"bytes": 5631,
|
| 485 |
-
"sha256": "
|
| 486 |
},
|
| 487 |
"hf_artifacts": {
|
| 488 |
"path": "hf_artifacts:docs/data/public_surface_qa.json",
|
| 489 |
"exists": true,
|
| 490 |
"bytes": 5631,
|
| 491 |
-
"sha256": "
|
| 492 |
},
|
| 493 |
"hf_model": {
|
| 494 |
"path": "hf_model:metrics/public_surface_qa.json",
|
| 495 |
"exists": true,
|
| 496 |
"bytes": 5631,
|
| 497 |
-
"sha256": "
|
| 498 |
}
|
| 499 |
},
|
| 500 |
"failures": []
|
|
@@ -506,26 +506,26 @@
|
|
| 506 |
"path": "repo:docs/data/quality_gates.json",
|
| 507 |
"exists": true,
|
| 508 |
"bytes": 8118,
|
| 509 |
-
"sha256": "
|
| 510 |
},
|
| 511 |
"mirrors": {
|
| 512 |
"hf_space": {
|
| 513 |
"path": "hf_space:data/quality_gates.json",
|
| 514 |
"exists": true,
|
| 515 |
"bytes": 8118,
|
| 516 |
-
"sha256": "
|
| 517 |
},
|
| 518 |
"hf_artifacts": {
|
| 519 |
"path": "hf_artifacts:docs/data/quality_gates.json",
|
| 520 |
"exists": true,
|
| 521 |
"bytes": 8118,
|
| 522 |
-
"sha256": "
|
| 523 |
},
|
| 524 |
"hf_model": {
|
| 525 |
"path": "hf_model:metrics/quality_gates.json",
|
| 526 |
"exists": true,
|
| 527 |
"bytes": 8118,
|
| 528 |
-
"sha256": "
|
| 529 |
}
|
| 530 |
},
|
| 531 |
"failures": []
|
|
@@ -753,27 +753,27 @@
|
|
| 753 |
"local": {
|
| 754 |
"path": "repo:docs/data/scope_claims_audit.json",
|
| 755 |
"exists": true,
|
| 756 |
-
"bytes":
|
| 757 |
-
"sha256": "
|
| 758 |
},
|
| 759 |
"mirrors": {
|
| 760 |
"hf_space": {
|
| 761 |
"path": "hf_space:data/scope_claims_audit.json",
|
| 762 |
"exists": true,
|
| 763 |
-
"bytes":
|
| 764 |
-
"sha256": "
|
| 765 |
},
|
| 766 |
"hf_artifacts": {
|
| 767 |
"path": "hf_artifacts:docs/data/scope_claims_audit.json",
|
| 768 |
"exists": true,
|
| 769 |
-
"bytes":
|
| 770 |
-
"sha256": "
|
| 771 |
},
|
| 772 |
"hf_model": {
|
| 773 |
"path": "hf_model:metrics/scope_claims_audit.json",
|
| 774 |
"exists": true,
|
| 775 |
-
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|
| 776 |
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|
| 777 |
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|
| 778 |
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|
| 779 |
"failures": []
|
|
@@ -816,26 +816,26 @@
|
|
| 816 |
"path": "repo:docs/data/source_alignment_audit.json",
|
| 817 |
"exists": true,
|
| 818 |
"bytes": 4432,
|
| 819 |
-
"sha256": "
|
| 820 |
},
|
| 821 |
"mirrors": {
|
| 822 |
"hf_space": {
|
| 823 |
"path": "hf_space:data/source_alignment_audit.json",
|
| 824 |
"exists": true,
|
| 825 |
"bytes": 4432,
|
| 826 |
-
"sha256": "
|
| 827 |
},
|
| 828 |
"hf_artifacts": {
|
| 829 |
"path": "hf_artifacts:docs/data/source_alignment_audit.json",
|
| 830 |
"exists": true,
|
| 831 |
"bytes": 4432,
|
| 832 |
-
"sha256": "
|
| 833 |
},
|
| 834 |
"hf_model": {
|
| 835 |
"path": "hf_model:metrics/source_alignment_audit.json",
|
| 836 |
"exists": true,
|
| 837 |
"bytes": 4432,
|
| 838 |
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|
| 839 |
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|
| 840 |
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|
| 841 |
"failures": []
|
|
@@ -846,27 +846,27 @@
|
|
| 846 |
"local": {
|
| 847 |
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|
| 848 |
"exists": true,
|
| 849 |
-
"bytes":
|
| 850 |
-
"sha256": "
|
| 851 |
},
|
| 852 |
"mirrors": {
|
| 853 |
"hf_space": {
|
| 854 |
"path": "hf_space:data/summary_metrics.json",
|
| 855 |
"exists": true,
|
| 856 |
-
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| 857 |
-
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|
| 858 |
},
|
| 859 |
"hf_artifacts": {
|
| 860 |
"path": "hf_artifacts:docs/data/summary_metrics.json",
|
| 861 |
"exists": true,
|
| 862 |
-
"bytes":
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| 863 |
-
"sha256": "
|
| 864 |
},
|
| 865 |
"hf_model": {
|
| 866 |
"path": "hf_model:metrics/summary_metrics.json",
|
| 867 |
"exists": true,
|
| 868 |
-
"bytes":
|
| 869 |
-
"sha256": "
|
| 870 |
}
|
| 871 |
},
|
| 872 |
"failures": []
|
|
@@ -878,26 +878,26 @@
|
|
| 878 |
"path": "repo:docs/data/task_surface_integrity.json",
|
| 879 |
"exists": true,
|
| 880 |
"bytes": 45779,
|
| 881 |
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|
| 882 |
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|
| 883 |
"mirrors": {
|
| 884 |
"hf_space": {
|
| 885 |
"path": "hf_space:data/task_surface_integrity.json",
|
| 886 |
"exists": true,
|
| 887 |
"bytes": 45779,
|
| 888 |
-
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|
| 889 |
},
|
| 890 |
"hf_artifacts": {
|
| 891 |
"path": "hf_artifacts:docs/data/task_surface_integrity.json",
|
| 892 |
"exists": true,
|
| 893 |
"bytes": 45779,
|
| 894 |
-
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|
| 895 |
},
|
| 896 |
"hf_model": {
|
| 897 |
"path": "hf_model:metrics/task_surface_integrity.json",
|
| 898 |
"exists": true,
|
| 899 |
"bytes": 45779,
|
| 900 |
-
"sha256": "
|
| 901 |
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|
| 902 |
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|
| 903 |
"failures": []
|
|
@@ -940,26 +940,26 @@
|
|
| 940 |
"path": "repo:docs/data/website_integrity.json",
|
| 941 |
"exists": true,
|
| 942 |
"bytes": 14718,
|
| 943 |
-
"sha256": "
|
| 944 |
},
|
| 945 |
"mirrors": {
|
| 946 |
"hf_space": {
|
| 947 |
"path": "hf_space:data/website_integrity.json",
|
| 948 |
"exists": true,
|
| 949 |
"bytes": 14718,
|
| 950 |
-
"sha256": "
|
| 951 |
},
|
| 952 |
"hf_artifacts": {
|
| 953 |
"path": "hf_artifacts:docs/data/website_integrity.json",
|
| 954 |
"exists": true,
|
| 955 |
"bytes": 14718,
|
| 956 |
-
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|
| 957 |
},
|
| 958 |
"hf_model": {
|
| 959 |
"path": "hf_model:metrics/website_integrity.json",
|
| 960 |
"exists": true,
|
| 961 |
"bytes": 14718,
|
| 962 |
-
"sha256": "
|
| 963 |
}
|
| 964 |
},
|
| 965 |
"failures": []
|
|
@@ -971,26 +971,26 @@
|
|
| 971 |
"path": "repo:docs/data/xperience10m_dataset_card_alignment.json",
|
| 972 |
"exists": true,
|
| 973 |
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|
| 974 |
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|
| 975 |
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|
| 976 |
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|
| 977 |
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|
| 978 |
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|
| 979 |
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|
| 980 |
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|
| 981 |
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|
| 982 |
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|
| 983 |
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|
| 984 |
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| 985 |
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| 986 |
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|
| 987 |
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|
| 988 |
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|
| 989 |
"hf_model": {
|
| 990 |
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|
| 991 |
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|
| 992 |
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|
| 993 |
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|
| 994 |
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|
| 995 |
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|
| 996 |
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|
|
@@ -2142,21 +2142,21 @@
|
|
| 2142 |
"local": {
|
| 2143 |
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|
| 2144 |
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|
| 2145 |
-
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|
| 2147 |
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|
| 2148 |
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|
| 2149 |
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|
| 2150 |
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|
| 2151 |
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|
| 2152 |
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| 2153 |
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|
| 2154 |
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| 2155 |
"hf_model": {
|
| 2156 |
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|
| 2157 |
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|
| 2158 |
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| 2159 |
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|
| 2160 |
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|
| 2161 |
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|
| 2162 |
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|
|
@@ -2217,21 +2217,21 @@
|
|
| 2217 |
"local": {
|
| 2218 |
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|
| 2219 |
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|
| 2220 |
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|
| 2221 |
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|
| 2222 |
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| 2223 |
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|
| 2224 |
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|
| 2225 |
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| 2226 |
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|
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| 2229 |
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| 2230 |
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| 2231 |
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|
| 2232 |
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|
| 2233 |
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@@ -1,6 +1,25 @@
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| 1 |
{
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| 3 |
"summary": "A concise first-reader brief for the public-sample embodied-AI task lab and its multi-episode scale-up path.",
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{
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"summary": "A concise first-reader brief for the public-sample embodied-AI task lab and its multi-episode scale-up path.",
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"research_intent": "Treat the public Xperience-10M sample as a small but real research system: inspect synchronized modalities, define embodied-AI task contracts, run bounded baselines, package evidence, and prepare held-out multi-episode scale-up without presenting one episode as final model quality.",
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{
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| 7 |
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| 9 |
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| 10 |
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{
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| 11 |
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},
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{
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| 17 |
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},
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| 18 |
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{
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| 19 |
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docs/data/project_packet.json
CHANGED
|
@@ -12,7 +12,7 @@
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|
| 12 |
"raw_xperience10m_data_in_repo": false,
|
| 13 |
"audio_feature_status": "Audio is one of the synchronized source modalities in the current task representation.",
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| 15 |
-
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| 16 |
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| 18 |
{
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@@ -142,7 +142,7 @@
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| 142 |
},
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| 143 |
"current_reading_notes": [
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| 144 |
"Cross-environment generalization is evaluated in the later multi-episode stage.",
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| 145 |
-
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|
| 146 |
"Feature-vector reconstruction is separate from pixel-depth, mesh, NeRF, or Gaussian reconstruction.",
|
| 147 |
"Raw Xperience-10M data is not redistributed in this repo."
|
| 148 |
]
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|
|
|
| 12 |
"raw_xperience10m_data_in_repo": false,
|
| 13 |
"audio_feature_status": "Audio is one of the synchronized source modalities in the current task representation.",
|
| 14 |
"qwen3_omni_32_episode_claim": false,
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| 15 |
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"qwen3_omni_status": "Full-dataset access is granted; 128 selected episodes are in accelerated relay/staging with chunked parallel transfer and overlapping batch prefetch before held-out episode evaluation."
|
| 16 |
},
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| 17 |
"reading_path": [
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| 18 |
{
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|
| 142 |
},
|
| 143 |
"current_reading_notes": [
|
| 144 |
"Cross-environment generalization is evaluated in the later multi-episode stage.",
|
| 145 |
+
"The Qwen3-Omni setup run is separate from the planned held-out 32-episode fine-tune and still requires gated data staging before any real 32-episode result is reported.",
|
| 146 |
"Feature-vector reconstruction is separate from pixel-depth, mesh, NeRF, or Gaussian reconstruction.",
|
| 147 |
"Raw Xperience-10M data is not redistributed in this repo."
|
| 148 |
]
|
docs/data/project_status.json
CHANGED
|
@@ -2,6 +2,7 @@
|
|
| 2 |
"title": "Ropedia Xperience-10M Task Suite Project Status",
|
| 3 |
"version": "2026-06-01",
|
| 4 |
"decision": "public_sample_pipeline_verified_multi_episode_omni_data_staging",
|
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|
|
| 5 |
"scope_boundary": {
|
| 6 |
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|
| 7 |
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|
|
@@ -148,7 +149,7 @@
|
|
| 148 |
"results/omni_finetune/DATA_ACCESS_STATUS.md",
|
| 149 |
"results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md"
|
| 150 |
],
|
| 151 |
-
"readout": "Full-dataset access is granted and a 128-episode selected relay is in progress; final held-out metrics require completed staging, manifest construction, training, and held-out evaluation."
|
| 152 |
},
|
| 153 |
{
|
| 154 |
"area": "Raw Xperience-10M redistribution",
|
|
|
|
| 2 |
"title": "Ropedia Xperience-10M Task Suite Project Status",
|
| 3 |
"version": "2026-06-01",
|
| 4 |
"decision": "public_sample_pipeline_verified_multi_episode_omni_data_staging",
|
| 5 |
+
"research_positioning": "A research-engineering study that makes one public Xperience-10M sample episode inspectable, defines embodied-AI tasks over synchronized modalities, records baseline behavior, and keeps later multi-episode model-quality claims separate from current single-episode evidence.",
|
| 6 |
"scope_boundary": {
|
| 7 |
"validated_episode_count": 1,
|
| 8 |
"aligned_frames": 5821,
|
|
|
|
| 149 |
"results/omni_finetune/DATA_ACCESS_STATUS.md",
|
| 150 |
"results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md"
|
| 151 |
],
|
| 152 |
+
"readout": "Full-dataset access is granted and a 128-episode selected relay is in progress with chunked parallel transfer and overlapping batch prefetch; final held-out metrics require completed staging, manifest construction, training, and held-out evaluation."
|
| 153 |
},
|
| 154 |
{
|
| 155 |
"area": "Raw Xperience-10M redistribution",
|
docs/data/public_surface_qa.json
CHANGED
|
@@ -1,7 +1,7 @@
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|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Public Project Surface",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
|
| 6 |
"checks": [
|
| 7 |
{
|
|
@@ -18,7 +18,7 @@
|
|
| 18 |
"website_integrity": {
|
| 19 |
"exists": true,
|
| 20 |
"status": "pass",
|
| 21 |
-
"generated_at_utc": "2026-06-
|
| 22 |
},
|
| 23 |
"rendered_site_check": {
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| 24 |
"exists": true,
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|
@@ -28,27 +28,27 @@
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|
| 28 |
"task_surface_integrity": {
|
| 29 |
"exists": true,
|
| 30 |
"status": "pass",
|
| 31 |
-
"generated_at_utc": "2026-06-
|
| 32 |
},
|
| 33 |
"source_alignment": {
|
| 34 |
"exists": true,
|
| 35 |
"status": "pass",
|
| 36 |
-
"generated_at_utc": "2026-06-
|
| 37 |
},
|
| 38 |
"scale_up_status": {
|
| 39 |
"exists": true,
|
| 40 |
"status": "pass",
|
| 41 |
-
"generated_at_utc": "2026-06-
|
| 42 |
},
|
| 43 |
"publication_package": {
|
| 44 |
"exists": true,
|
| 45 |
"status": "pass",
|
| 46 |
-
"generated_at_utc": "2026-06-
|
| 47 |
},
|
| 48 |
"mirror_parity": {
|
| 49 |
"exists": true,
|
| 50 |
"status": "pass",
|
| 51 |
-
"generated_at_utc": "2026-06-
|
| 52 |
},
|
| 53 |
"live_publication": {
|
| 54 |
"exists": true,
|
|
@@ -100,10 +100,10 @@
|
|
| 100 |
"status": "pass",
|
| 101 |
"reason": "Public copy should consistently present the project as Ropedia Xperience-10M, with the Qwen3-Omni scale-up status.",
|
| 102 |
"marker_counts": {
|
| 103 |
-
"Ropedia Xperience-10M Task Suite":
|
| 104 |
-
"Xperience-10M":
|
| 105 |
"12-task": 33,
|
| 106 |
-
"Qwen3-Omni":
|
| 107 |
"128-episode relay": 6
|
| 108 |
}
|
| 109 |
},
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Public Project Surface",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-03T20:37:22+00:00",
|
| 5 |
"scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
|
| 6 |
"checks": [
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| 7 |
{
|
|
|
|
| 18 |
"website_integrity": {
|
| 19 |
"exists": true,
|
| 20 |
"status": "pass",
|
| 21 |
+
"generated_at_utc": "2026-06-03T20:35:48+00:00"
|
| 22 |
},
|
| 23 |
"rendered_site_check": {
|
| 24 |
"exists": true,
|
|
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|
| 28 |
"task_surface_integrity": {
|
| 29 |
"exists": true,
|
| 30 |
"status": "pass",
|
| 31 |
+
"generated_at_utc": "2026-06-03T20:36:23+00:00"
|
| 32 |
},
|
| 33 |
"source_alignment": {
|
| 34 |
"exists": true,
|
| 35 |
"status": "pass",
|
| 36 |
+
"generated_at_utc": "2026-06-03T20:36:23+00:00"
|
| 37 |
},
|
| 38 |
"scale_up_status": {
|
| 39 |
"exists": true,
|
| 40 |
"status": "pass",
|
| 41 |
+
"generated_at_utc": "2026-06-03T20:37:04+00:00"
|
| 42 |
},
|
| 43 |
"publication_package": {
|
| 44 |
"exists": true,
|
| 45 |
"status": "pass",
|
| 46 |
+
"generated_at_utc": "2026-06-03T20:08:35+00:00"
|
| 47 |
},
|
| 48 |
"mirror_parity": {
|
| 49 |
"exists": true,
|
| 50 |
"status": "pass",
|
| 51 |
+
"generated_at_utc": "2026-06-03T20:09:03+00:00"
|
| 52 |
},
|
| 53 |
"live_publication": {
|
| 54 |
"exists": true,
|
|
|
|
| 100 |
"status": "pass",
|
| 101 |
"reason": "Public copy should consistently present the project as Ropedia Xperience-10M, with the Qwen3-Omni scale-up status.",
|
| 102 |
"marker_counts": {
|
| 103 |
+
"Ropedia Xperience-10M Task Suite": 15,
|
| 104 |
+
"Xperience-10M": 131,
|
| 105 |
"12-task": 33,
|
| 106 |
+
"Qwen3-Omni": 83,
|
| 107 |
"128-episode relay": 6
|
| 108 |
}
|
| 109 |
},
|
docs/data/publication_audit.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"checks": [
|
| 5 |
{
|
| 6 |
"name": "required_publication_assets_present",
|
|
@@ -204,7 +204,7 @@
|
|
| 204 |
"hf_artifact_bundle": {
|
| 205 |
"root": "hf_publish/artifacts",
|
| 206 |
"exists": true,
|
| 207 |
-
"file_count":
|
| 208 |
"text_file_count": 325,
|
| 209 |
"largest_file": {
|
| 210 |
"path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
|
|
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
+
"generated_at_utc": "2026-06-03T20:44:32+00:00",
|
| 4 |
"checks": [
|
| 5 |
{
|
| 6 |
"name": "required_publication_assets_present",
|
|
|
|
| 204 |
"hf_artifact_bundle": {
|
| 205 |
"root": "hf_publish/artifacts",
|
| 206 |
"exists": true,
|
| 207 |
+
"file_count": 411,
|
| 208 |
"text_file_count": 325,
|
| 209 |
"largest_file": {
|
| 210 |
"path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
|
docs/data/quality_gates.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Release Checks",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
|
| 6 |
"automated_gates": [
|
| 7 |
{
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Release Checks",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-03T20:42:40+00:00",
|
| 5 |
"rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
|
| 6 |
"automated_gates": [
|
| 7 |
{
|
docs/data/scope_claims_audit.json
CHANGED
|
@@ -1,14 +1,14 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"summary": {
|
| 5 |
"qwen3_omni_32_episode_claim": false,
|
| 6 |
"dataset_manifest_num_episodes": 1,
|
| 7 |
"dataset_manifest_num_samples": 128,
|
| 8 |
"training_metadata_num_train_samples": 128,
|
| 9 |
"source_discovery_ready_for_32_episode_pilot": false,
|
| 10 |
-
"historical_identifier_count":
|
| 11 |
-
"public_32_episode_status_file_count":
|
| 12 |
"failure_count": 0
|
| 13 |
},
|
| 14 |
"checks": [
|
|
@@ -39,7 +39,7 @@
|
|
| 39 |
{
|
| 40 |
"name": "summary_metrics_preserves_omni_scale_up_status",
|
| 41 |
"status": "pass",
|
| 42 |
-
"detail": "The
|
| 43 |
"evidence": [
|
| 44 |
"docs/data/summary_metrics.json"
|
| 45 |
]
|
|
@@ -90,45 +90,17 @@
|
|
| 90 |
{
|
| 91 |
"name": "historical_32ep_identifiers_are_confined_to_readiness_artifacts",
|
| 92 |
"status": "pass",
|
| 93 |
-
"detail": "historical identifiers found in result provenance files=
|
| 94 |
"evidence": [
|
| 95 |
"results/omni_finetune/"
|
| 96 |
]
|
| 97 |
}
|
| 98 |
],
|
| 99 |
"public_status_observations": [
|
| 100 |
-
{
|
| 101 |
-
"path": "README.md",
|
| 102 |
-
"contains_32_episode_status_text": true
|
| 103 |
-
},
|
| 104 |
-
{
|
| 105 |
-
"path": "ARTIFACT_GUIDE.md",
|
| 106 |
-
"contains_32_episode_status_text": true
|
| 107 |
-
},
|
| 108 |
-
{
|
| 109 |
-
"path": "EVIDENCE_CONTRACT.md",
|
| 110 |
-
"contains_32_episode_status_text": true
|
| 111 |
-
},
|
| 112 |
-
{
|
| 113 |
-
"path": "REPRODUCIBILITY.md",
|
| 114 |
-
"contains_32_episode_status_text": true
|
| 115 |
-
},
|
| 116 |
-
{
|
| 117 |
-
"path": "docs/index.html",
|
| 118 |
-
"contains_32_episode_status_text": true
|
| 119 |
-
},
|
| 120 |
{
|
| 121 |
"path": "docs/data/artifact_index.json",
|
| 122 |
"contains_32_episode_status_text": true
|
| 123 |
},
|
| 124 |
-
{
|
| 125 |
-
"path": "docs/data/evidence_contract.json",
|
| 126 |
-
"contains_32_episode_status_text": true
|
| 127 |
-
},
|
| 128 |
-
{
|
| 129 |
-
"path": "docs/data/reproducibility_matrix.json",
|
| 130 |
-
"contains_32_episode_status_text": true
|
| 131 |
-
},
|
| 132 |
{
|
| 133 |
"path": "docs/data/project_packet.json",
|
| 134 |
"contains_32_episode_status_text": true
|
|
@@ -199,6 +171,24 @@
|
|
| 199 |
],
|
| 200 |
"example": "- Dataset: `results/omni_finetune/xperience10m_qwen3_omni_32ep_dataset/dataset.jsonl`"
|
| 201 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 202 |
{
|
| 203 |
"classification": "historical_identifier_in_readiness_artifact",
|
| 204 |
"path": "results/omni_finetune/config.yaml",
|
|
@@ -438,30 +428,8 @@
|
|
| 438 |
"ropedia-episode-task-suite"
|
| 439 |
],
|
| 440 |
"example": "{\"id\": \"xperience-10m-sample:qa:42\", \"episode_id\": \"xperience-10m-sample\", \"split\": \"train\", \"target\": \"episode_qa\", \"prompt_type\": \"json_episode_understanding\", \"center_window\": {\"start_frame\": 840, \"end_frame\": 859, \"num_frames\": 20}, \"media\": {\"video_paths\""
|
| 441 |
-
},
|
| 442 |
-
{
|
| 443 |
-
"classification": "historical_identifier_in_readiness_artifact",
|
| 444 |
-
"path": "results/omni_finetune/dataset.jsonl",
|
| 445 |
-
"line": 20,
|
| 446 |
-
"patterns": [
|
| 447 |
-
"qwen3_omni_32ep",
|
| 448 |
-
"xperience10m_qwen3_omni_32ep",
|
| 449 |
-
"ropedia-episode-task-suite"
|
| 450 |
-
],
|
| 451 |
-
"example": "{\"id\": \"xperience-10m-sample:qa:43\", \"episode_id\": \"xperience-10m-sample\", \"split\": \"train\", \"target\": \"episode_qa\", \"prompt_type\": \"json_episode_understanding\", \"center_window\": {\"start_frame\": 860, \"end_frame\": 879, \"num_frames\": 20}, \"media\": {\"video_paths\""
|
| 452 |
-
},
|
| 453 |
-
{
|
| 454 |
-
"classification": "historical_identifier_in_readiness_artifact",
|
| 455 |
-
"path": "results/omni_finetune/dataset.jsonl",
|
| 456 |
-
"line": 21,
|
| 457 |
-
"patterns": [
|
| 458 |
-
"qwen3_omni_32ep",
|
| 459 |
-
"xperience10m_qwen3_omni_32ep",
|
| 460 |
-
"ropedia-episode-task-suite"
|
| 461 |
-
],
|
| 462 |
-
"example": "{\"id\": \"xperience-10m-sample:qa:44\", \"episode_id\": \"xperience-10m-sample\", \"split\": \"train\", \"target\": \"episode_qa\", \"prompt_type\": \"json_episode_understanding\", \"center_window\": {\"start_frame\": 880, \"end_frame\": 899, \"num_frames\": 20}, \"media\": {\"video_paths\""
|
| 463 |
}
|
| 464 |
],
|
| 465 |
-
"historical_identifier_total_count":
|
| 466 |
"failures": []
|
| 467 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
+
"generated_at_utc": "2026-06-03T20:37:04+00:00",
|
| 4 |
"summary": {
|
| 5 |
"qwen3_omni_32_episode_claim": false,
|
| 6 |
"dataset_manifest_num_episodes": 1,
|
| 7 |
"dataset_manifest_num_samples": 128,
|
| 8 |
"training_metadata_num_train_samples": 128,
|
| 9 |
"source_discovery_ready_for_32_episode_pilot": false,
|
| 10 |
+
"historical_identifier_count": 159,
|
| 11 |
+
"public_32_episode_status_file_count": 3,
|
| 12 |
"failure_count": 0
|
| 13 |
},
|
| 14 |
"checks": [
|
|
|
|
| 39 |
{
|
| 40 |
"name": "summary_metrics_preserves_omni_scale_up_status",
|
| 41 |
"status": "pass",
|
| 42 |
+
"detail": "The selected-episode Qwen3-Omni fine-tune requires completed data staging and held-out evaluation; the 32-episode Qwen3-Omni fine-tune requires gated data staging before any real held-out metric is reported.",
|
| 43 |
"evidence": [
|
| 44 |
"docs/data/summary_metrics.json"
|
| 45 |
]
|
|
|
|
| 90 |
{
|
| 91 |
"name": "historical_32ep_identifiers_are_confined_to_readiness_artifacts",
|
| 92 |
"status": "pass",
|
| 93 |
+
"detail": "historical identifiers found in result provenance files=159",
|
| 94 |
"evidence": [
|
| 95 |
"results/omni_finetune/"
|
| 96 |
]
|
| 97 |
}
|
| 98 |
],
|
| 99 |
"public_status_observations": [
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 100 |
{
|
| 101 |
"path": "docs/data/artifact_index.json",
|
| 102 |
"contains_32_episode_status_text": true
|
| 103 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 104 |
{
|
| 105 |
"path": "docs/data/project_packet.json",
|
| 106 |
"contains_32_episode_status_text": true
|
|
|
|
| 171 |
],
|
| 172 |
"example": "- Dataset: `results/omni_finetune/xperience10m_qwen3_omni_32ep_dataset/dataset.jsonl`"
|
| 173 |
},
|
| 174 |
+
{
|
| 175 |
+
"classification": "historical_identifier_in_readiness_artifact",
|
| 176 |
+
"path": "results/omni_finetune/XPERIENCE10M_128_RELAY_AND_FINETUNE_PLAN.md",
|
| 177 |
+
"line": 42,
|
| 178 |
+
"patterns": [
|
| 179 |
+
"ropedia-episode-task-suite"
|
| 180 |
+
],
|
| 181 |
+
"example": "export RELAY_WORKDIR=/path/to/ropedia-episode-task-suite"
|
| 182 |
+
},
|
| 183 |
+
{
|
| 184 |
+
"classification": "historical_identifier_in_readiness_artifact",
|
| 185 |
+
"path": "results/omni_finetune/XPERIENCE10M_128_RELAY_AND_FINETUNE_PLAN.md",
|
| 186 |
+
"line": 45,
|
| 187 |
+
"patterns": [
|
| 188 |
+
"ropedia-episode-task-suite"
|
| 189 |
+
],
|
| 190 |
+
"example": "export TRAINING_REPO=/path/to/ropedia-episode-task-suite"
|
| 191 |
+
},
|
| 192 |
{
|
| 193 |
"classification": "historical_identifier_in_readiness_artifact",
|
| 194 |
"path": "results/omni_finetune/config.yaml",
|
|
|
|
| 428 |
"ropedia-episode-task-suite"
|
| 429 |
],
|
| 430 |
"example": "{\"id\": \"xperience-10m-sample:qa:42\", \"episode_id\": \"xperience-10m-sample\", \"split\": \"train\", \"target\": \"episode_qa\", \"prompt_type\": \"json_episode_understanding\", \"center_window\": {\"start_frame\": 840, \"end_frame\": 859, \"num_frames\": 20}, \"media\": {\"video_paths\""
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 431 |
}
|
| 432 |
],
|
| 433 |
+
"historical_identifier_total_count": 159,
|
| 434 |
"failures": []
|
| 435 |
}
|
docs/data/source_alignment_audit.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Source Alignment Note",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
|
| 6 |
"alignment_summary": {
|
| 7 |
"full_dataset_repo": "ropedia-ai/xperience-10m",
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Source Alignment Note",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-03T20:36:23+00:00",
|
| 5 |
"alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
|
| 6 |
"alignment_summary": {
|
| 7 |
"full_dataset_repo": "ropedia-ai/xperience-10m",
|
docs/data/summary_metrics.json
CHANGED
|
@@ -2,7 +2,7 @@
|
|
| 2 |
"omni_relay": {
|
| 3 |
"status": "selected_relay_in_progress",
|
| 4 |
"dataset": "ropedia-ai/xperience-10m",
|
| 5 |
-
"staging": "
|
| 6 |
"training_target": "external_multi_gpu_training_host",
|
| 7 |
"selection_strategy": "stratified_round_robin_by_top_level_session",
|
| 8 |
"target_episodes": 128,
|
|
@@ -13,8 +13,8 @@
|
|
| 13 |
"exclude": [
|
| 14 |
"visualization.rrd"
|
| 15 |
],
|
| 16 |
-
"access_status": "Full-dataset access is granted; selected multi-episode relay is in progress.",
|
| 17 |
-
"current_scope": "The selected-episode Qwen3-Omni fine-tune requires completed data staging and held-out evaluation."
|
| 18 |
},
|
| 19 |
"models": {
|
| 20 |
"motion_action": {
|
|
|
|
| 2 |
"omni_relay": {
|
| 3 |
"status": "selected_relay_in_progress",
|
| 4 |
"dataset": "ropedia-ai/xperience-10m",
|
| 5 |
+
"staging": "accelerated_chunked_parallel_transfer_with_batch_prefetch",
|
| 6 |
"training_target": "external_multi_gpu_training_host",
|
| 7 |
"selection_strategy": "stratified_round_robin_by_top_level_session",
|
| 8 |
"target_episodes": 128,
|
|
|
|
| 13 |
"exclude": [
|
| 14 |
"visualization.rrd"
|
| 15 |
],
|
| 16 |
+
"access_status": "Full-dataset access is granted; selected multi-episode relay is in progress with chunked parallel transfer and overlapping batch prefetch.",
|
| 17 |
+
"current_scope": "The selected-episode Qwen3-Omni fine-tune requires completed data staging and held-out evaluation; the 32-episode Qwen3-Omni fine-tune requires gated data staging before any real held-out metric is reported."
|
| 18 |
},
|
| 19 |
"models": {
|
| 20 |
"motion_action": {
|
docs/data/task_surface_integrity.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"summary": {
|
| 5 |
"task_count": 12,
|
| 6 |
"expected_task_count": 12,
|
|
@@ -64,21 +64,15 @@
|
|
| 64 |
"observed": "timeline_action"
|
| 65 |
},
|
| 66 |
{
|
| 67 |
-
"name": "timeline_action:
|
| 68 |
-
"status": "pass",
|
| 69 |
-
"value": "Egocentric Action Recognition",
|
| 70 |
-
"raw_hits": []
|
| 71 |
-
},
|
| 72 |
-
{
|
| 73 |
-
"name": "timeline_action: public_field_input_short_is_human_readable",
|
| 74 |
"status": "pass",
|
| 75 |
-
"value": "
|
| 76 |
"raw_hits": []
|
| 77 |
},
|
| 78 |
{
|
| 79 |
-
"name": "timeline_action:
|
| 80 |
"status": "pass",
|
| 81 |
-
"value": "
|
| 82 |
"raw_hits": []
|
| 83 |
},
|
| 84 |
{
|
|
@@ -88,15 +82,15 @@
|
|
| 88 |
"raw_hits": []
|
| 89 |
},
|
| 90 |
{
|
| 91 |
-
"name": "timeline_action:
|
| 92 |
"status": "pass",
|
| 93 |
-
"value": "
|
| 94 |
"raw_hits": []
|
| 95 |
},
|
| 96 |
{
|
| 97 |
-
"name": "timeline_action:
|
| 98 |
"status": "pass",
|
| 99 |
-
"value": "
|
| 100 |
"raw_hits": []
|
| 101 |
},
|
| 102 |
{
|
|
@@ -105,6 +99,12 @@
|
|
| 105 |
"value": "Action Recognition",
|
| 106 |
"raw_hits": []
|
| 107 |
},
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| 108 |
{
|
| 109 |
"name": "timeline_action: known_task_family",
|
| 110 |
"status": "pass",
|
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@@ -184,21 +184,15 @@
|
|
| 184 |
"observed": "timeline_subtask"
|
| 185 |
},
|
| 186 |
{
|
| 187 |
-
"name": "timeline_subtask:
|
| 188 |
-
"status": "pass",
|
| 189 |
-
"value": "Temporal Subtask Recognition",
|
| 190 |
-
"raw_hits": []
|
| 191 |
-
},
|
| 192 |
-
{
|
| 193 |
-
"name": "timeline_subtask: public_field_input_short_is_human_readable",
|
| 194 |
"status": "pass",
|
| 195 |
-
"value": "
|
| 196 |
"raw_hits": []
|
| 197 |
},
|
| 198 |
{
|
| 199 |
-
"name": "timeline_subtask:
|
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"status": "pass",
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-
"value": "
|
| 202 |
"raw_hits": []
|
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},
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{
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@@ -208,15 +202,15 @@
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"raw_hits": []
|
| 209 |
},
|
| 210 |
{
|
| 211 |
-
"name": "timeline_subtask:
|
| 212 |
"status": "pass",
|
| 213 |
-
"value": "
|
| 214 |
"raw_hits": []
|
| 215 |
},
|
| 216 |
{
|
| 217 |
-
"name": "timeline_subtask:
|
| 218 |
"status": "pass",
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-
"value": "
|
| 220 |
"raw_hits": []
|
| 221 |
},
|
| 222 |
{
|
|
@@ -225,6 +219,12 @@
|
|
| 225 |
"value": "Procedure Step Recognition",
|
| 226 |
"raw_hits": []
|
| 227 |
},
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| 228 |
{
|
| 229 |
"name": "timeline_subtask: known_task_family",
|
| 230 |
"status": "pass",
|
|
@@ -304,21 +304,15 @@
|
|
| 304 |
"observed": "transition_detection"
|
| 305 |
},
|
| 306 |
{
|
| 307 |
-
"name": "transition_detection:
|
| 308 |
-
"status": "pass",
|
| 309 |
-
"value": "Temporal Action Segmentation",
|
| 310 |
-
"raw_hits": []
|
| 311 |
-
},
|
| 312 |
-
{
|
| 313 |
-
"name": "transition_detection: public_field_input_short_is_human_readable",
|
| 314 |
"status": "pass",
|
| 315 |
-
"value": "
|
| 316 |
"raw_hits": []
|
| 317 |
},
|
| 318 |
{
|
| 319 |
-
"name": "transition_detection:
|
| 320 |
"status": "pass",
|
| 321 |
-
"value": "Detect
|
| 322 |
"raw_hits": []
|
| 323 |
},
|
| 324 |
{
|
|
@@ -328,15 +322,15 @@
|
|
| 328 |
"raw_hits": []
|
| 329 |
},
|
| 330 |
{
|
| 331 |
-
"name": "transition_detection:
|
| 332 |
"status": "pass",
|
| 333 |
-
"value": "
|
| 334 |
"raw_hits": []
|
| 335 |
},
|
| 336 |
{
|
| 337 |
-
"name": "transition_detection:
|
| 338 |
"status": "pass",
|
| 339 |
-
"value": "Detect
|
| 340 |
"raw_hits": []
|
| 341 |
},
|
| 342 |
{
|
|
@@ -345,6 +339,12 @@
|
|
| 345 |
"value": "Action Boundary Detection",
|
| 346 |
"raw_hits": []
|
| 347 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 348 |
{
|
| 349 |
"name": "transition_detection: known_task_family",
|
| 350 |
"status": "pass",
|
|
@@ -422,21 +422,15 @@
|
|
| 422 |
"observed": "next_action"
|
| 423 |
},
|
| 424 |
{
|
| 425 |
-
"name": "next_action:
|
| 426 |
-
"status": "pass",
|
| 427 |
-
"value": "Short-Horizon Intention Prediction",
|
| 428 |
-
"raw_hits": []
|
| 429 |
-
},
|
| 430 |
-
{
|
| 431 |
-
"name": "next_action: public_field_input_short_is_human_readable",
|
| 432 |
"status": "pass",
|
| 433 |
-
"value": "
|
| 434 |
"raw_hits": []
|
| 435 |
},
|
| 436 |
{
|
| 437 |
-
"name": "next_action:
|
| 438 |
"status": "pass",
|
| 439 |
-
"value": "
|
| 440 |
"raw_hits": []
|
| 441 |
},
|
| 442 |
{
|
|
@@ -446,15 +440,15 @@
|
|
| 446 |
"raw_hits": []
|
| 447 |
},
|
| 448 |
{
|
| 449 |
-
"name": "next_action:
|
| 450 |
"status": "pass",
|
| 451 |
-
"value": "
|
| 452 |
"raw_hits": []
|
| 453 |
},
|
| 454 |
{
|
| 455 |
-
"name": "next_action:
|
| 456 |
"status": "pass",
|
| 457 |
-
"value": "
|
| 458 |
"raw_hits": []
|
| 459 |
},
|
| 460 |
{
|
|
@@ -463,6 +457,12 @@
|
|
| 463 |
"value": "Next-Action Prediction",
|
| 464 |
"raw_hits": []
|
| 465 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 466 |
{
|
| 467 |
"name": "next_action: known_task_family",
|
| 468 |
"status": "pass",
|
|
@@ -540,21 +540,15 @@
|
|
| 540 |
"observed": "hand_trajectory_forecast"
|
| 541 |
},
|
| 542 |
{
|
| 543 |
-
"name": "hand_trajectory_forecast:
|
| 544 |
-
"status": "pass",
|
| 545 |
-
"value": "3D Hand Motion Forecasting",
|
| 546 |
-
"raw_hits": []
|
| 547 |
-
},
|
| 548 |
-
{
|
| 549 |
-
"name": "hand_trajectory_forecast: public_field_input_short_is_human_readable",
|
| 550 |
"status": "pass",
|
| 551 |
-
"value": "
|
| 552 |
"raw_hits": []
|
| 553 |
},
|
| 554 |
{
|
| 555 |
-
"name": "hand_trajectory_forecast:
|
| 556 |
"status": "pass",
|
| 557 |
-
"value": "Predict the
|
| 558 |
"raw_hits": []
|
| 559 |
},
|
| 560 |
{
|
|
@@ -564,15 +558,15 @@
|
|
| 564 |
"raw_hits": []
|
| 565 |
},
|
| 566 |
{
|
| 567 |
-
"name": "hand_trajectory_forecast:
|
| 568 |
"status": "pass",
|
| 569 |
-
"value": "
|
| 570 |
"raw_hits": []
|
| 571 |
},
|
| 572 |
{
|
| 573 |
-
"name": "hand_trajectory_forecast:
|
| 574 |
"status": "pass",
|
| 575 |
-
"value": "Predict
|
| 576 |
"raw_hits": []
|
| 577 |
},
|
| 578 |
{
|
|
@@ -581,6 +575,12 @@
|
|
| 581 |
"value": "Hand Trajectory Forecasting",
|
| 582 |
"raw_hits": []
|
| 583 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 584 |
{
|
| 585 |
"name": "hand_trajectory_forecast: known_task_family",
|
| 586 |
"status": "pass",
|
|
@@ -658,21 +658,15 @@
|
|
| 658 |
"observed": "contact_prediction"
|
| 659 |
},
|
| 660 |
{
|
| 661 |
-
"name": "contact_prediction:
|
| 662 |
-
"status": "pass",
|
| 663 |
-
"value": "Human-Object Contact Prediction",
|
| 664 |
-
"raw_hits": []
|
| 665 |
-
},
|
| 666 |
-
{
|
| 667 |
-
"name": "contact_prediction: public_field_input_short_is_human_readable",
|
| 668 |
"status": "pass",
|
| 669 |
-
"value": "
|
| 670 |
"raw_hits": []
|
| 671 |
},
|
| 672 |
{
|
| 673 |
-
"name": "contact_prediction:
|
| 674 |
"status": "pass",
|
| 675 |
-
"value": "Predict whether body or hand
|
| 676 |
"raw_hits": []
|
| 677 |
},
|
| 678 |
{
|
|
@@ -682,15 +676,15 @@
|
|
| 682 |
"raw_hits": []
|
| 683 |
},
|
| 684 |
{
|
| 685 |
-
"name": "contact_prediction:
|
| 686 |
"status": "pass",
|
| 687 |
-
"value": "
|
| 688 |
"raw_hits": []
|
| 689 |
},
|
| 690 |
{
|
| 691 |
-
"name": "contact_prediction:
|
| 692 |
"status": "pass",
|
| 693 |
-
"value": "Predict whether
|
| 694 |
"raw_hits": []
|
| 695 |
},
|
| 696 |
{
|
|
@@ -699,6 +693,12 @@
|
|
| 699 |
"value": "Contact State Prediction",
|
| 700 |
"raw_hits": []
|
| 701 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 702 |
{
|
| 703 |
"name": "contact_prediction: known_task_family",
|
| 704 |
"status": "pass",
|
|
@@ -774,21 +774,15 @@
|
|
| 774 |
"observed": "object_relevance"
|
| 775 |
},
|
| 776 |
{
|
| 777 |
-
"name": "object_relevance:
|
| 778 |
-
"status": "pass",
|
| 779 |
-
"value": "Object-Centric Interaction Recognition",
|
| 780 |
-
"raw_hits": []
|
| 781 |
-
},
|
| 782 |
-
{
|
| 783 |
-
"name": "object_relevance: public_field_input_short_is_human_readable",
|
| 784 |
"status": "pass",
|
| 785 |
-
"value": "
|
| 786 |
"raw_hits": []
|
| 787 |
},
|
| 788 |
{
|
| 789 |
-
"name": "object_relevance:
|
| 790 |
"status": "pass",
|
| 791 |
-
"value": "
|
| 792 |
"raw_hits": []
|
| 793 |
},
|
| 794 |
{
|
|
@@ -798,15 +792,15 @@
|
|
| 798 |
"raw_hits": []
|
| 799 |
},
|
| 800 |
{
|
| 801 |
-
"name": "object_relevance:
|
| 802 |
"status": "pass",
|
| 803 |
-
"value": "
|
| 804 |
"raw_hits": []
|
| 805 |
},
|
| 806 |
{
|
| 807 |
-
"name": "object_relevance:
|
| 808 |
"status": "pass",
|
| 809 |
-
"value": "
|
| 810 |
"raw_hits": []
|
| 811 |
},
|
| 812 |
{
|
|
@@ -815,6 +809,12 @@
|
|
| 815 |
"value": "Object Relevance Prediction",
|
| 816 |
"raw_hits": []
|
| 817 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 818 |
{
|
| 819 |
"name": "object_relevance: known_task_family",
|
| 820 |
"status": "pass",
|
|
@@ -892,21 +892,15 @@
|
|
| 892 |
"observed": "caption_grounding"
|
| 893 |
},
|
| 894 |
{
|
| 895 |
-
"name": "caption_grounding:
|
| 896 |
-
"status": "pass",
|
| 897 |
-
"value": "Language-to-Moment Grounding",
|
| 898 |
-
"raw_hits": []
|
| 899 |
-
},
|
| 900 |
-
{
|
| 901 |
-
"name": "caption_grounding: public_field_input_short_is_human_readable",
|
| 902 |
"status": "pass",
|
| 903 |
-
"value": "
|
| 904 |
"raw_hits": []
|
| 905 |
},
|
| 906 |
{
|
| 907 |
-
"name": "caption_grounding:
|
| 908 |
"status": "pass",
|
| 909 |
-
"value": "
|
| 910 |
"raw_hits": []
|
| 911 |
},
|
| 912 |
{
|
|
@@ -916,15 +910,15 @@
|
|
| 916 |
"raw_hits": []
|
| 917 |
},
|
| 918 |
{
|
| 919 |
-
"name": "caption_grounding:
|
| 920 |
"status": "pass",
|
| 921 |
-
"value": "
|
| 922 |
"raw_hits": []
|
| 923 |
},
|
| 924 |
{
|
| 925 |
-
"name": "caption_grounding:
|
| 926 |
"status": "pass",
|
| 927 |
-
"value": "
|
| 928 |
"raw_hits": []
|
| 929 |
},
|
| 930 |
{
|
|
@@ -933,6 +927,12 @@
|
|
| 933 |
"value": "Language Grounding",
|
| 934 |
"raw_hits": []
|
| 935 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 936 |
{
|
| 937 |
"name": "caption_grounding: known_task_family",
|
| 938 |
"status": "pass",
|
|
@@ -1008,21 +1008,15 @@
|
|
| 1008 |
"observed": "cross_modal_retrieval"
|
| 1009 |
},
|
| 1010 |
{
|
| 1011 |
-
"name": "cross_modal_retrieval:
|
| 1012 |
-
"status": "pass",
|
| 1013 |
-
"value": "Multimodal Representation Retrieval",
|
| 1014 |
-
"raw_hits": []
|
| 1015 |
-
},
|
| 1016 |
-
{
|
| 1017 |
-
"name": "cross_modal_retrieval: public_field_input_short_is_human_readable",
|
| 1018 |
"status": "pass",
|
| 1019 |
-
"value": "
|
| 1020 |
"raw_hits": []
|
| 1021 |
},
|
| 1022 |
{
|
| 1023 |
-
"name": "cross_modal_retrieval:
|
| 1024 |
"status": "pass",
|
| 1025 |
-
"value": "Use
|
| 1026 |
"raw_hits": []
|
| 1027 |
},
|
| 1028 |
{
|
|
@@ -1032,15 +1026,15 @@
|
|
| 1032 |
"raw_hits": []
|
| 1033 |
},
|
| 1034 |
{
|
| 1035 |
-
"name": "cross_modal_retrieval:
|
| 1036 |
"status": "pass",
|
| 1037 |
-
"value": "
|
| 1038 |
"raw_hits": []
|
| 1039 |
},
|
| 1040 |
{
|
| 1041 |
-
"name": "cross_modal_retrieval:
|
| 1042 |
"status": "pass",
|
| 1043 |
-
"value": "Use
|
| 1044 |
"raw_hits": []
|
| 1045 |
},
|
| 1046 |
{
|
|
@@ -1049,6 +1043,12 @@
|
|
| 1049 |
"value": "Cross-Modal Retrieval",
|
| 1050 |
"raw_hits": []
|
| 1051 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1052 |
{
|
| 1053 |
"name": "cross_modal_retrieval: known_task_family",
|
| 1054 |
"status": "pass",
|
|
@@ -1126,21 +1126,15 @@
|
|
| 1126 |
"observed": "modality_reconstruction"
|
| 1127 |
},
|
| 1128 |
{
|
| 1129 |
-
"name": "modality_reconstruction:
|
| 1130 |
-
"status": "pass",
|
| 1131 |
-
"value": "Modality Feature Reconstruction",
|
| 1132 |
-
"raw_hits": []
|
| 1133 |
-
},
|
| 1134 |
-
{
|
| 1135 |
-
"name": "modality_reconstruction: public_field_input_short_is_human_readable",
|
| 1136 |
"status": "pass",
|
| 1137 |
-
"value": "
|
| 1138 |
"raw_hits": []
|
| 1139 |
},
|
| 1140 |
{
|
| 1141 |
-
"name": "modality_reconstruction:
|
| 1142 |
"status": "pass",
|
| 1143 |
-
"value": "Predict
|
| 1144 |
"raw_hits": []
|
| 1145 |
},
|
| 1146 |
{
|
|
@@ -1150,15 +1144,15 @@
|
|
| 1150 |
"raw_hits": []
|
| 1151 |
},
|
| 1152 |
{
|
| 1153 |
-
"name": "modality_reconstruction:
|
| 1154 |
"status": "pass",
|
| 1155 |
-
"value": "
|
| 1156 |
"raw_hits": []
|
| 1157 |
},
|
| 1158 |
{
|
| 1159 |
-
"name": "modality_reconstruction:
|
| 1160 |
"status": "pass",
|
| 1161 |
-
"value": "Predict
|
| 1162 |
"raw_hits": []
|
| 1163 |
},
|
| 1164 |
{
|
|
@@ -1167,6 +1161,12 @@
|
|
| 1167 |
"value": "Cross-Modal Reconstruction",
|
| 1168 |
"raw_hits": []
|
| 1169 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1170 |
{
|
| 1171 |
"name": "modality_reconstruction: known_task_family",
|
| 1172 |
"status": "pass",
|
|
@@ -1244,21 +1244,15 @@
|
|
| 1244 |
"observed": "temporal_order"
|
| 1245 |
},
|
| 1246 |
{
|
| 1247 |
-
"name": "temporal_order:
|
| 1248 |
-
"status": "pass",
|
| 1249 |
-
"value": "Temporal Order Verification",
|
| 1250 |
-
"raw_hits": []
|
| 1251 |
-
},
|
| 1252 |
-
{
|
| 1253 |
-
"name": "temporal_order: public_field_input_short_is_human_readable",
|
| 1254 |
"status": "pass",
|
| 1255 |
-
"value": "
|
| 1256 |
"raw_hits": []
|
| 1257 |
},
|
| 1258 |
{
|
| 1259 |
-
"name": "temporal_order:
|
| 1260 |
"status": "pass",
|
| 1261 |
-
"value": "Tell whether two
|
| 1262 |
"raw_hits": []
|
| 1263 |
},
|
| 1264 |
{
|
|
@@ -1268,15 +1262,15 @@
|
|
| 1268 |
"raw_hits": []
|
| 1269 |
},
|
| 1270 |
{
|
| 1271 |
-
"name": "temporal_order:
|
| 1272 |
"status": "pass",
|
| 1273 |
-
"value": "
|
| 1274 |
"raw_hits": []
|
| 1275 |
},
|
| 1276 |
{
|
| 1277 |
-
"name": "temporal_order:
|
| 1278 |
"status": "pass",
|
| 1279 |
-
"value": "Tell whether two
|
| 1280 |
"raw_hits": []
|
| 1281 |
},
|
| 1282 |
{
|
|
@@ -1285,6 +1279,12 @@
|
|
| 1285 |
"value": "Temporal Order Verification",
|
| 1286 |
"raw_hits": []
|
| 1287 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1288 |
{
|
| 1289 |
"name": "temporal_order: known_task_family",
|
| 1290 |
"status": "pass",
|
|
@@ -1360,21 +1360,15 @@
|
|
| 1360 |
"observed": "misalignment_detection"
|
| 1361 |
},
|
| 1362 |
{
|
| 1363 |
-
"name": "misalignment_detection:
|
| 1364 |
-
"status": "pass",
|
| 1365 |
-
"value": "Cross-Modal Misalignment Detection",
|
| 1366 |
-
"raw_hits": []
|
| 1367 |
-
},
|
| 1368 |
-
{
|
| 1369 |
-
"name": "misalignment_detection: public_field_input_short_is_human_readable",
|
| 1370 |
"status": "pass",
|
| 1371 |
-
"value": "
|
| 1372 |
"raw_hits": []
|
| 1373 |
},
|
| 1374 |
{
|
| 1375 |
-
"name": "misalignment_detection:
|
| 1376 |
"status": "pass",
|
| 1377 |
-
"value": "Detect
|
| 1378 |
"raw_hits": []
|
| 1379 |
},
|
| 1380 |
{
|
|
@@ -1384,15 +1378,15 @@
|
|
| 1384 |
"raw_hits": []
|
| 1385 |
},
|
| 1386 |
{
|
| 1387 |
-
"name": "misalignment_detection:
|
| 1388 |
"status": "pass",
|
| 1389 |
-
"value": "
|
| 1390 |
"raw_hits": []
|
| 1391 |
},
|
| 1392 |
{
|
| 1393 |
-
"name": "misalignment_detection:
|
| 1394 |
"status": "pass",
|
| 1395 |
-
"value": "Detect
|
| 1396 |
"raw_hits": []
|
| 1397 |
},
|
| 1398 |
{
|
|
@@ -1401,6 +1395,12 @@
|
|
| 1401 |
"value": "Multimodal Synchronization Detection",
|
| 1402 |
"raw_hits": []
|
| 1403 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1404 |
{
|
| 1405 |
"name": "misalignment_detection: known_task_family",
|
| 1406 |
"status": "pass",
|
|
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
+
"generated_at_utc": "2026-06-03T20:36:23+00:00",
|
| 4 |
"summary": {
|
| 5 |
"task_count": 12,
|
| 6 |
"expected_task_count": 12,
|
|
|
|
| 64 |
"observed": "timeline_action"
|
| 65 |
},
|
| 66 |
{
|
| 67 |
+
"name": "timeline_action: public_field_output_short_is_human_readable",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 68 |
"status": "pass",
|
| 69 |
+
"value": "current action class",
|
| 70 |
"raw_hits": []
|
| 71 |
},
|
| 72 |
{
|
| 73 |
+
"name": "timeline_action: public_field_plain_goal_is_human_readable",
|
| 74 |
"status": "pass",
|
| 75 |
+
"value": "Look at one short multimodal window and name what action is happening now.",
|
| 76 |
"raw_hits": []
|
| 77 |
},
|
| 78 |
{
|
|
|
|
| 82 |
"raw_hits": []
|
| 83 |
},
|
| 84 |
{
|
| 85 |
+
"name": "timeline_action: public_field_research_name_is_human_readable",
|
| 86 |
"status": "pass",
|
| 87 |
+
"value": "Egocentric Action Recognition",
|
| 88 |
"raw_hits": []
|
| 89 |
},
|
| 90 |
{
|
| 91 |
+
"name": "timeline_action: public_field_card_blurb_is_human_readable",
|
| 92 |
"status": "pass",
|
| 93 |
+
"value": "Recognize the current manipulation action from synchronized visual, motion, inertial, pose, and annotation context.",
|
| 94 |
"raw_hits": []
|
| 95 |
},
|
| 96 |
{
|
|
|
|
| 99 |
"value": "Action Recognition",
|
| 100 |
"raw_hits": []
|
| 101 |
},
|
| 102 |
+
{
|
| 103 |
+
"name": "timeline_action: public_field_input_short_is_human_readable",
|
| 104 |
+
"status": "pass",
|
| 105 |
+
"value": "20-frame multimodal window",
|
| 106 |
+
"raw_hits": []
|
| 107 |
+
},
|
| 108 |
{
|
| 109 |
"name": "timeline_action: known_task_family",
|
| 110 |
"status": "pass",
|
|
|
|
| 184 |
"observed": "timeline_subtask"
|
| 185 |
},
|
| 186 |
{
|
| 187 |
+
"name": "timeline_subtask: public_field_output_short_is_human_readable",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 188 |
"status": "pass",
|
| 189 |
+
"value": "current procedure step",
|
| 190 |
"raw_hits": []
|
| 191 |
},
|
| 192 |
{
|
| 193 |
+
"name": "timeline_subtask: public_field_plain_goal_is_human_readable",
|
| 194 |
"status": "pass",
|
| 195 |
+
"value": "Predict the higher-level task stage for the current window.",
|
| 196 |
"raw_hits": []
|
| 197 |
},
|
| 198 |
{
|
|
|
|
| 202 |
"raw_hits": []
|
| 203 |
},
|
| 204 |
{
|
| 205 |
+
"name": "timeline_subtask: public_field_research_name_is_human_readable",
|
| 206 |
"status": "pass",
|
| 207 |
+
"value": "Temporal Subtask Recognition",
|
| 208 |
"raw_hits": []
|
| 209 |
},
|
| 210 |
{
|
| 211 |
+
"name": "timeline_subtask: public_field_card_blurb_is_human_readable",
|
| 212 |
"status": "pass",
|
| 213 |
+
"value": "Recognize the broader activity stage so fine actions become a readable procedure timeline.",
|
| 214 |
"raw_hits": []
|
| 215 |
},
|
| 216 |
{
|
|
|
|
| 219 |
"value": "Procedure Step Recognition",
|
| 220 |
"raw_hits": []
|
| 221 |
},
|
| 222 |
+
{
|
| 223 |
+
"name": "timeline_subtask: public_field_input_short_is_human_readable",
|
| 224 |
+
"status": "pass",
|
| 225 |
+
"value": "20-frame multimodal window",
|
| 226 |
+
"raw_hits": []
|
| 227 |
+
},
|
| 228 |
{
|
| 229 |
"name": "timeline_subtask: known_task_family",
|
| 230 |
"status": "pass",
|
|
|
|
| 304 |
"observed": "transition_detection"
|
| 305 |
},
|
| 306 |
{
|
| 307 |
+
"name": "transition_detection: public_field_output_short_is_human_readable",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 308 |
"status": "pass",
|
| 309 |
+
"value": "boundary or steady",
|
| 310 |
"raw_hits": []
|
| 311 |
},
|
| 312 |
{
|
| 313 |
+
"name": "transition_detection: public_field_plain_goal_is_human_readable",
|
| 314 |
"status": "pass",
|
| 315 |
+
"value": "Detect whether the current window is near a boundary between actions.",
|
| 316 |
"raw_hits": []
|
| 317 |
},
|
| 318 |
{
|
|
|
|
| 322 |
"raw_hits": []
|
| 323 |
},
|
| 324 |
{
|
| 325 |
+
"name": "transition_detection: public_field_research_name_is_human_readable",
|
| 326 |
"status": "pass",
|
| 327 |
+
"value": "Temporal Action Segmentation",
|
| 328 |
"raw_hits": []
|
| 329 |
},
|
| 330 |
{
|
| 331 |
+
"name": "transition_detection: public_field_card_blurb_is_human_readable",
|
| 332 |
"status": "pass",
|
| 333 |
+
"value": "Detect the local moment where the episode changes from one action segment to the next.",
|
| 334 |
"raw_hits": []
|
| 335 |
},
|
| 336 |
{
|
|
|
|
| 339 |
"value": "Action Boundary Detection",
|
| 340 |
"raw_hits": []
|
| 341 |
},
|
| 342 |
+
{
|
| 343 |
+
"name": "transition_detection: public_field_input_short_is_human_readable",
|
| 344 |
+
"status": "pass",
|
| 345 |
+
"value": "current window with boundary target",
|
| 346 |
+
"raw_hits": []
|
| 347 |
+
},
|
| 348 |
{
|
| 349 |
"name": "transition_detection: known_task_family",
|
| 350 |
"status": "pass",
|
|
|
|
| 422 |
"observed": "next_action"
|
| 423 |
},
|
| 424 |
{
|
| 425 |
+
"name": "next_action: public_field_output_short_is_human_readable",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 426 |
"status": "pass",
|
| 427 |
+
"value": "action at t+20 frames",
|
| 428 |
"raw_hits": []
|
| 429 |
},
|
| 430 |
{
|
| 431 |
+
"name": "next_action: public_field_plain_goal_is_human_readable",
|
| 432 |
"status": "pass",
|
| 433 |
+
"value": "Use the current window to guess the action that will happen shortly after it.",
|
| 434 |
"raw_hits": []
|
| 435 |
},
|
| 436 |
{
|
|
|
|
| 440 |
"raw_hits": []
|
| 441 |
},
|
| 442 |
{
|
| 443 |
+
"name": "next_action: public_field_research_name_is_human_readable",
|
| 444 |
"status": "pass",
|
| 445 |
+
"value": "Short-Horizon Intention Prediction",
|
| 446 |
"raw_hits": []
|
| 447 |
},
|
| 448 |
{
|
| 449 |
+
"name": "next_action: public_field_card_blurb_is_human_readable",
|
| 450 |
"status": "pass",
|
| 451 |
+
"value": "Forecast the near-future action from the current observations only.",
|
| 452 |
"raw_hits": []
|
| 453 |
},
|
| 454 |
{
|
|
|
|
| 457 |
"value": "Next-Action Prediction",
|
| 458 |
"raw_hits": []
|
| 459 |
},
|
| 460 |
+
{
|
| 461 |
+
"name": "next_action: public_field_input_short_is_human_readable",
|
| 462 |
+
"status": "pass",
|
| 463 |
+
"value": "current window at time t",
|
| 464 |
+
"raw_hits": []
|
| 465 |
+
},
|
| 466 |
{
|
| 467 |
"name": "next_action: known_task_family",
|
| 468 |
"status": "pass",
|
|
|
|
| 540 |
"observed": "hand_trajectory_forecast"
|
| 541 |
},
|
| 542 |
{
|
| 543 |
+
"name": "hand_trajectory_forecast: public_field_output_short_is_human_readable",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 544 |
"status": "pass",
|
| 545 |
+
"value": "future hand-joint trajectory",
|
| 546 |
"raw_hits": []
|
| 547 |
},
|
| 548 |
{
|
| 549 |
+
"name": "hand_trajectory_forecast: public_field_plain_goal_is_human_readable",
|
| 550 |
"status": "pass",
|
| 551 |
+
"value": "Predict where the hands will move over the next few frames.",
|
| 552 |
"raw_hits": []
|
| 553 |
},
|
| 554 |
{
|
|
|
|
| 558 |
"raw_hits": []
|
| 559 |
},
|
| 560 |
{
|
| 561 |
+
"name": "hand_trajectory_forecast: public_field_research_name_is_human_readable",
|
| 562 |
"status": "pass",
|
| 563 |
+
"value": "3D Hand Motion Forecasting",
|
| 564 |
"raw_hits": []
|
| 565 |
},
|
| 566 |
{
|
| 567 |
+
"name": "hand_trajectory_forecast: public_field_card_blurb_is_human_readable",
|
| 568 |
"status": "pass",
|
| 569 |
+
"value": "Predict the future 3D left/right hand path from the current multimodal state.",
|
| 570 |
"raw_hits": []
|
| 571 |
},
|
| 572 |
{
|
|
|
|
| 575 |
"value": "Hand Trajectory Forecasting",
|
| 576 |
"raw_hits": []
|
| 577 |
},
|
| 578 |
+
{
|
| 579 |
+
"name": "hand_trajectory_forecast: public_field_input_short_is_human_readable",
|
| 580 |
+
"status": "pass",
|
| 581 |
+
"value": "current multimodal window",
|
| 582 |
+
"raw_hits": []
|
| 583 |
+
},
|
| 584 |
{
|
| 585 |
"name": "hand_trajectory_forecast: known_task_family",
|
| 586 |
"status": "pass",
|
|
|
|
| 658 |
"observed": "contact_prediction"
|
| 659 |
},
|
| 660 |
{
|
| 661 |
+
"name": "contact_prediction: public_field_output_short_is_human_readable",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 662 |
"status": "pass",
|
| 663 |
+
"value": "contact or no contact",
|
| 664 |
"raw_hits": []
|
| 665 |
},
|
| 666 |
{
|
| 667 |
+
"name": "contact_prediction: public_field_plain_goal_is_human_readable",
|
| 668 |
"status": "pass",
|
| 669 |
+
"value": "Predict whether the body or hand is in contact with something.",
|
| 670 |
"raw_hits": []
|
| 671 |
},
|
| 672 |
{
|
|
|
|
| 676 |
"raw_hits": []
|
| 677 |
},
|
| 678 |
{
|
| 679 |
+
"name": "contact_prediction: public_field_research_name_is_human_readable",
|
| 680 |
"status": "pass",
|
| 681 |
+
"value": "Human-Object Contact Prediction",
|
| 682 |
"raw_hits": []
|
| 683 |
},
|
| 684 |
{
|
| 685 |
+
"name": "contact_prediction: public_field_card_blurb_is_human_readable",
|
| 686 |
"status": "pass",
|
| 687 |
+
"value": "Predict whether body or hand contact with the scene is occurring without leaking contact labels.",
|
| 688 |
"raw_hits": []
|
| 689 |
},
|
| 690 |
{
|
|
|
|
| 693 |
"value": "Contact State Prediction",
|
| 694 |
"raw_hits": []
|
| 695 |
},
|
| 696 |
+
{
|
| 697 |
+
"name": "contact_prediction: public_field_input_short_is_human_readable",
|
| 698 |
+
"status": "pass",
|
| 699 |
+
"value": "non-contact, non-caption features",
|
| 700 |
+
"raw_hits": []
|
| 701 |
+
},
|
| 702 |
{
|
| 703 |
"name": "contact_prediction: known_task_family",
|
| 704 |
"status": "pass",
|
|
|
|
| 774 |
"observed": "object_relevance"
|
| 775 |
},
|
| 776 |
{
|
| 777 |
+
"name": "object_relevance: public_field_output_short_is_human_readable",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 778 |
"status": "pass",
|
| 779 |
+
"value": "relevant object set",
|
| 780 |
"raw_hits": []
|
| 781 |
},
|
| 782 |
{
|
| 783 |
+
"name": "object_relevance: public_field_plain_goal_is_human_readable",
|
| 784 |
"status": "pass",
|
| 785 |
+
"value": "Predict which objects matter in the current window.",
|
| 786 |
"raw_hits": []
|
| 787 |
},
|
| 788 |
{
|
|
|
|
| 792 |
"raw_hits": []
|
| 793 |
},
|
| 794 |
{
|
| 795 |
+
"name": "object_relevance: public_field_research_name_is_human_readable",
|
| 796 |
"status": "pass",
|
| 797 |
+
"value": "Object-Centric Interaction Recognition",
|
| 798 |
"raw_hits": []
|
| 799 |
},
|
| 800 |
{
|
| 801 |
+
"name": "object_relevance: public_field_card_blurb_is_human_readable",
|
| 802 |
"status": "pass",
|
| 803 |
+
"value": "Infer which objects are relevant to the current manipulation window from non-caption features.",
|
| 804 |
"raw_hits": []
|
| 805 |
},
|
| 806 |
{
|
|
|
|
| 809 |
"value": "Object Relevance Prediction",
|
| 810 |
"raw_hits": []
|
| 811 |
},
|
| 812 |
+
{
|
| 813 |
+
"name": "object_relevance: public_field_input_short_is_human_readable",
|
| 814 |
+
"status": "pass",
|
| 815 |
+
"value": "non-caption multimodal features",
|
| 816 |
+
"raw_hits": []
|
| 817 |
+
},
|
| 818 |
{
|
| 819 |
"name": "object_relevance: known_task_family",
|
| 820 |
"status": "pass",
|
|
|
|
| 892 |
"observed": "caption_grounding"
|
| 893 |
},
|
| 894 |
{
|
| 895 |
+
"name": "caption_grounding: public_field_output_short_is_human_readable",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 896 |
"status": "pass",
|
| 897 |
+
"value": "ranked matching moments",
|
| 898 |
"raw_hits": []
|
| 899 |
},
|
| 900 |
{
|
| 901 |
+
"name": "caption_grounding: public_field_plain_goal_is_human_readable",
|
| 902 |
"status": "pass",
|
| 903 |
+
"value": "Given a text-like query from annotation, find the matching time window.",
|
| 904 |
"raw_hits": []
|
| 905 |
},
|
| 906 |
{
|
|
|
|
| 910 |
"raw_hits": []
|
| 911 |
},
|
| 912 |
{
|
| 913 |
+
"name": "caption_grounding: public_field_research_name_is_human_readable",
|
| 914 |
"status": "pass",
|
| 915 |
+
"value": "Language-to-Moment Grounding",
|
| 916 |
"raw_hits": []
|
| 917 |
},
|
| 918 |
{
|
| 919 |
+
"name": "caption_grounding: public_field_card_blurb_is_human_readable",
|
| 920 |
"status": "pass",
|
| 921 |
+
"value": "Retrieve the matching time window for an annotation-derived text query.",
|
| 922 |
"raw_hits": []
|
| 923 |
},
|
| 924 |
{
|
|
|
|
| 927 |
"value": "Language Grounding",
|
| 928 |
"raw_hits": []
|
| 929 |
},
|
| 930 |
+
{
|
| 931 |
+
"name": "caption_grounding: public_field_input_short_is_human_readable",
|
| 932 |
+
"status": "pass",
|
| 933 |
+
"value": "text-like query and candidate windows",
|
| 934 |
+
"raw_hits": []
|
| 935 |
+
},
|
| 936 |
{
|
| 937 |
"name": "caption_grounding: known_task_family",
|
| 938 |
"status": "pass",
|
|
|
|
| 1008 |
"observed": "cross_modal_retrieval"
|
| 1009 |
},
|
| 1010 |
{
|
| 1011 |
+
"name": "cross_modal_retrieval: public_field_output_short_is_human_readable",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1012 |
"status": "pass",
|
| 1013 |
+
"value": "ranked visual windows",
|
| 1014 |
"raw_hits": []
|
| 1015 |
},
|
| 1016 |
{
|
| 1017 |
+
"name": "cross_modal_retrieval: public_field_plain_goal_is_human_readable",
|
| 1018 |
"status": "pass",
|
| 1019 |
+
"value": "Use one group of modalities to retrieve the matching window from another group.",
|
| 1020 |
"raw_hits": []
|
| 1021 |
},
|
| 1022 |
{
|
|
|
|
| 1026 |
"raw_hits": []
|
| 1027 |
},
|
| 1028 |
{
|
| 1029 |
+
"name": "cross_modal_retrieval: public_field_research_name_is_human_readable",
|
| 1030 |
"status": "pass",
|
| 1031 |
+
"value": "Multimodal Representation Retrieval",
|
| 1032 |
"raw_hits": []
|
| 1033 |
},
|
| 1034 |
{
|
| 1035 |
+
"name": "cross_modal_retrieval: public_field_card_blurb_is_human_readable",
|
| 1036 |
"status": "pass",
|
| 1037 |
+
"value": "Use motion, IMU, and camera-pose signals to retrieve the matching depth/video window.",
|
| 1038 |
"raw_hits": []
|
| 1039 |
},
|
| 1040 |
{
|
|
|
|
| 1043 |
"value": "Cross-Modal Retrieval",
|
| 1044 |
"raw_hits": []
|
| 1045 |
},
|
| 1046 |
+
{
|
| 1047 |
+
"name": "cross_modal_retrieval: public_field_input_short_is_human_readable",
|
| 1048 |
+
"status": "pass",
|
| 1049 |
+
"value": "motion/IMU/pose query; depth/video candidates",
|
| 1050 |
+
"raw_hits": []
|
| 1051 |
+
},
|
| 1052 |
{
|
| 1053 |
"name": "cross_modal_retrieval: known_task_family",
|
| 1054 |
"status": "pass",
|
|
|
|
| 1126 |
"observed": "modality_reconstruction"
|
| 1127 |
},
|
| 1128 |
{
|
| 1129 |
+
"name": "modality_reconstruction: public_field_output_short_is_human_readable",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1130 |
"status": "pass",
|
| 1131 |
+
"value": "reconstructed depth/video vector",
|
| 1132 |
"raw_hits": []
|
| 1133 |
},
|
| 1134 |
{
|
| 1135 |
+
"name": "modality_reconstruction: public_field_plain_goal_is_human_readable",
|
| 1136 |
"status": "pass",
|
| 1137 |
+
"value": "Predict one modality feature block from other modality blocks.",
|
| 1138 |
"raw_hits": []
|
| 1139 |
},
|
| 1140 |
{
|
|
|
|
| 1144 |
"raw_hits": []
|
| 1145 |
},
|
| 1146 |
{
|
| 1147 |
+
"name": "modality_reconstruction: public_field_research_name_is_human_readable",
|
| 1148 |
"status": "pass",
|
| 1149 |
+
"value": "Modality Feature Reconstruction",
|
| 1150 |
"raw_hits": []
|
| 1151 |
},
|
| 1152 |
{
|
| 1153 |
+
"name": "modality_reconstruction: public_field_card_blurb_is_human_readable",
|
| 1154 |
"status": "pass",
|
| 1155 |
+
"value": "Predict compressed depth/video feature vectors from motion, IMU, and camera-pose features.",
|
| 1156 |
"raw_hits": []
|
| 1157 |
},
|
| 1158 |
{
|
|
|
|
| 1161 |
"value": "Cross-Modal Reconstruction",
|
| 1162 |
"raw_hits": []
|
| 1163 |
},
|
| 1164 |
+
{
|
| 1165 |
+
"name": "modality_reconstruction: public_field_input_short_is_human_readable",
|
| 1166 |
+
"status": "pass",
|
| 1167 |
+
"value": "motion, IMU, and camera/pose features",
|
| 1168 |
+
"raw_hits": []
|
| 1169 |
+
},
|
| 1170 |
{
|
| 1171 |
"name": "modality_reconstruction: known_task_family",
|
| 1172 |
"status": "pass",
|
|
|
|
| 1244 |
"observed": "temporal_order"
|
| 1245 |
},
|
| 1246 |
{
|
| 1247 |
+
"name": "temporal_order: public_field_output_short_is_human_readable",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1248 |
"status": "pass",
|
| 1249 |
+
"value": "correct or reversed",
|
| 1250 |
"raw_hits": []
|
| 1251 |
},
|
| 1252 |
{
|
| 1253 |
+
"name": "temporal_order: public_field_plain_goal_is_human_readable",
|
| 1254 |
"status": "pass",
|
| 1255 |
+
"value": "Tell whether two nearby windows are in the correct time order.",
|
| 1256 |
"raw_hits": []
|
| 1257 |
},
|
| 1258 |
{
|
|
|
|
| 1262 |
"raw_hits": []
|
| 1263 |
},
|
| 1264 |
{
|
| 1265 |
+
"name": "temporal_order: public_field_research_name_is_human_readable",
|
| 1266 |
"status": "pass",
|
| 1267 |
+
"value": "Temporal Order Verification",
|
| 1268 |
"raw_hits": []
|
| 1269 |
},
|
| 1270 |
{
|
| 1271 |
+
"name": "temporal_order: public_field_card_blurb_is_human_readable",
|
| 1272 |
"status": "pass",
|
| 1273 |
+
"value": "Tell whether two neighboring windows are in chronological order or reversed.",
|
| 1274 |
"raw_hits": []
|
| 1275 |
},
|
| 1276 |
{
|
|
|
|
| 1279 |
"value": "Temporal Order Verification",
|
| 1280 |
"raw_hits": []
|
| 1281 |
},
|
| 1282 |
+
{
|
| 1283 |
+
"name": "temporal_order: public_field_input_short_is_human_readable",
|
| 1284 |
+
"status": "pass",
|
| 1285 |
+
"value": "two adjacent windows plus difference vector",
|
| 1286 |
+
"raw_hits": []
|
| 1287 |
+
},
|
| 1288 |
{
|
| 1289 |
"name": "temporal_order: known_task_family",
|
| 1290 |
"status": "pass",
|
|
|
|
| 1360 |
"observed": "misalignment_detection"
|
| 1361 |
},
|
| 1362 |
{
|
| 1363 |
+
"name": "misalignment_detection: public_field_output_short_is_human_readable",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1364 |
"status": "pass",
|
| 1365 |
+
"value": "aligned or shifted",
|
| 1366 |
"raw_hits": []
|
| 1367 |
},
|
| 1368 |
{
|
| 1369 |
+
"name": "misalignment_detection: public_field_plain_goal_is_human_readable",
|
| 1370 |
"status": "pass",
|
| 1371 |
+
"value": "Detect when modalities that should match are shifted out of sync.",
|
| 1372 |
"raw_hits": []
|
| 1373 |
},
|
| 1374 |
{
|
|
|
|
| 1378 |
"raw_hits": []
|
| 1379 |
},
|
| 1380 |
{
|
| 1381 |
+
"name": "misalignment_detection: public_field_research_name_is_human_readable",
|
| 1382 |
"status": "pass",
|
| 1383 |
+
"value": "Cross-Modal Misalignment Detection",
|
| 1384 |
"raw_hits": []
|
| 1385 |
},
|
| 1386 |
{
|
| 1387 |
+
"name": "misalignment_detection: public_field_card_blurb_is_human_readable",
|
| 1388 |
"status": "pass",
|
| 1389 |
+
"value": "Detect whether motion and visual/depth streams have been artificially shifted out of sync.",
|
| 1390 |
"raw_hits": []
|
| 1391 |
},
|
| 1392 |
{
|
|
|
|
| 1395 |
"value": "Multimodal Synchronization Detection",
|
| 1396 |
"raw_hits": []
|
| 1397 |
},
|
| 1398 |
+
{
|
| 1399 |
+
"name": "misalignment_detection: public_field_input_short_is_human_readable",
|
| 1400 |
+
"status": "pass",
|
| 1401 |
+
"value": "motion-side and visual/depth-side feature groups",
|
| 1402 |
+
"raw_hits": []
|
| 1403 |
+
},
|
| 1404 |
{
|
| 1405 |
"name": "misalignment_detection: known_task_family",
|
| 1406 |
"status": "pass",
|
docs/data/website_integrity.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"docs_root": "docs",
|
| 5 |
"site_base": "/ropedia-xperience-10m-task-suite/",
|
| 6 |
"summary": {
|
|
@@ -75,7 +75,7 @@
|
|
| 75 |
"status": "pass",
|
| 76 |
"reason": "The project overview should appear before the deeper progress ledger.",
|
| 77 |
"overview_index": 66059,
|
| 78 |
-
"evidence_index":
|
| 79 |
},
|
| 80 |
{
|
| 81 |
"name": "project_status_links_json",
|
|
@@ -150,8 +150,8 @@
|
|
| 150 |
"status": "pass",
|
| 151 |
"reason": "The evaluation protocol should appear before the deeper evidence ledger.",
|
| 152 |
"overview_index": 66059,
|
| 153 |
-
"protocol_index":
|
| 154 |
-
"evidence_index":
|
| 155 |
},
|
| 156 |
{
|
| 157 |
"name": "evaluation_protocol_links_json",
|
|
@@ -259,7 +259,7 @@
|
|
| 259 |
},
|
| 260 |
{
|
| 261 |
"path": "data/evaluation_protocol.json",
|
| 262 |
-
"bytes":
|
| 263 |
"top_level_type": "dict"
|
| 264 |
},
|
| 265 |
{
|
|
@@ -284,7 +284,7 @@
|
|
| 284 |
},
|
| 285 |
{
|
| 286 |
"path": "data/mirror_parity.json",
|
| 287 |
-
"bytes":
|
| 288 |
"top_level_type": "dict"
|
| 289 |
},
|
| 290 |
{
|
|
@@ -294,7 +294,7 @@
|
|
| 294 |
},
|
| 295 |
{
|
| 296 |
"path": "data/project_brief.json",
|
| 297 |
-
"bytes":
|
| 298 |
"top_level_type": "dict"
|
| 299 |
},
|
| 300 |
{
|
|
@@ -304,12 +304,12 @@
|
|
| 304 |
},
|
| 305 |
{
|
| 306 |
"path": "data/project_packet.json",
|
| 307 |
-
"bytes":
|
| 308 |
"top_level_type": "dict"
|
| 309 |
},
|
| 310 |
{
|
| 311 |
"path": "data/project_status.json",
|
| 312 |
-
"bytes":
|
| 313 |
"top_level_type": "dict"
|
| 314 |
},
|
| 315 |
{
|
|
@@ -374,12 +374,12 @@
|
|
| 374 |
},
|
| 375 |
{
|
| 376 |
"path": "data/source_alignment_audit.json",
|
| 377 |
-
"bytes":
|
| 378 |
"top_level_type": "dict"
|
| 379 |
},
|
| 380 |
{
|
| 381 |
"path": "data/summary_metrics.json",
|
| 382 |
-
"bytes":
|
| 383 |
"top_level_type": "dict"
|
| 384 |
},
|
| 385 |
{
|
|
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
+
"generated_at_utc": "2026-06-03T20:35:48+00:00",
|
| 4 |
"docs_root": "docs",
|
| 5 |
"site_base": "/ropedia-xperience-10m-task-suite/",
|
| 6 |
"summary": {
|
|
|
|
| 75 |
"status": "pass",
|
| 76 |
"reason": "The project overview should appear before the deeper progress ledger.",
|
| 77 |
"overview_index": 66059,
|
| 78 |
+
"evidence_index": 83262
|
| 79 |
},
|
| 80 |
{
|
| 81 |
"name": "project_status_links_json",
|
|
|
|
| 150 |
"status": "pass",
|
| 151 |
"reason": "The evaluation protocol should appear before the deeper evidence ledger.",
|
| 152 |
"overview_index": 66059,
|
| 153 |
+
"protocol_index": 80126,
|
| 154 |
+
"evidence_index": 83262
|
| 155 |
},
|
| 156 |
{
|
| 157 |
"name": "evaluation_protocol_links_json",
|
|
|
|
| 259 |
},
|
| 260 |
{
|
| 261 |
"path": "data/evaluation_protocol.json",
|
| 262 |
+
"bytes": 13686,
|
| 263 |
"top_level_type": "dict"
|
| 264 |
},
|
| 265 |
{
|
|
|
|
| 284 |
},
|
| 285 |
{
|
| 286 |
"path": "data/mirror_parity.json",
|
| 287 |
+
"bytes": 108609,
|
| 288 |
"top_level_type": "dict"
|
| 289 |
},
|
| 290 |
{
|
|
|
|
| 294 |
},
|
| 295 |
{
|
| 296 |
"path": "data/project_brief.json",
|
| 297 |
+
"bytes": 3645,
|
| 298 |
"top_level_type": "dict"
|
| 299 |
},
|
| 300 |
{
|
|
|
|
| 304 |
},
|
| 305 |
{
|
| 306 |
"path": "data/project_packet.json",
|
| 307 |
+
"bytes": 7627,
|
| 308 |
"top_level_type": "dict"
|
| 309 |
},
|
| 310 |
{
|
| 311 |
"path": "data/project_status.json",
|
| 312 |
+
"bytes": 9233,
|
| 313 |
"top_level_type": "dict"
|
| 314 |
},
|
| 315 |
{
|
|
|
|
| 374 |
},
|
| 375 |
{
|
| 376 |
"path": "data/source_alignment_audit.json",
|
| 377 |
+
"bytes": 4724,
|
| 378 |
"top_level_type": "dict"
|
| 379 |
},
|
| 380 |
{
|
| 381 |
"path": "data/summary_metrics.json",
|
| 382 |
+
"bytes": 25260,
|
| 383 |
"top_level_type": "dict"
|
| 384 |
},
|
| 385 |
{
|
docs/data/xperience10m_dataset_card_alignment.json
CHANGED
|
@@ -171,7 +171,7 @@
|
|
| 171 |
"validated_windows": 1161,
|
| 172 |
"current_feature_dim": 8546,
|
| 173 |
"raw_data_redistributed": false,
|
| 174 |
-
"audio_feature_status": "Audio is present in the sample MP4 streams and
|
| 175 |
"implemented_task_count": 12,
|
| 176 |
"neural_head_count": 12,
|
| 177 |
"covered_by_current_tasks": [
|
|
|
|
| 171 |
"validated_windows": 1161,
|
| 172 |
"current_feature_dim": 8546,
|
| 173 |
"raw_data_redistributed": false,
|
| 174 |
+
"audio_feature_status": "Audio is present in the sample MP4 streams and extracted into the current baseline feature vector.",
|
| 175 |
"implemented_task_count": 12,
|
| 176 |
"neural_head_count": 12,
|
| 177 |
"covered_by_current_tasks": [
|
docs/index.html
CHANGED
|
@@ -2172,7 +2172,7 @@
|
|
| 2172 |
<div class="wrap">
|
| 2173 |
<div class="section-head">
|
| 2174 |
<h2>Project overview and contributions.</h2>
|
| 2175 |
-
<p>The page is organized like a compact research project: motivation and scope, dataset sample, task suite, method, baselines, research directions, interactive walkthroughs, and resources for continuing the work.</p>
|
| 2176 |
</div>
|
| 2177 |
<div class="brief-panel">
|
| 2178 |
<div class="brief-panel-head">
|
|
@@ -2200,6 +2200,24 @@
|
|
| 2200 |
<p>The next model-quality stage is a held-out episode pilot over the selected multi-episode relay, with no train/test episode leakage and a completed omni-model evaluation report.</p>
|
| 2201 |
</article>
|
| 2202 |
</div>
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2203 |
<div class="brief-actions">
|
| 2204 |
<a href="research_roadmap.html">Open interactive roadmap</a>
|
| 2205 |
<a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/PROJECT_BRIEF.md">Read the brief</a>
|
|
@@ -2267,9 +2285,9 @@
|
|
| 2267 |
<article class="snapshot-card gated">
|
| 2268 |
<span class="status-pill">staging</span>
|
| 2269 |
<h3>Omni-model scale-up path</h3>
|
| 2270 |
-
<p>Full-dataset access is granted, a 128-episode relay is in progress, and full training results require completed staging, held-out splits, training, and evaluation.</p>
|
| 2271 |
<div class="snapshot-meta">
|
| 2272 |
-
<span>current stage <strong>relay
|
| 2273 |
<span>selected set <strong>128 episodes</strong></span>
|
| 2274 |
<span>held-out eval <strong>pending</strong></span>
|
| 2275 |
</div>
|
|
@@ -2446,7 +2464,7 @@
|
|
| 2446 |
<article class="evidence-card">
|
| 2447 |
<span class="status-pill">staging</span>
|
| 2448 |
<h3>Qwen3-Omni pilot setup</h3>
|
| 2449 |
-
<p>The current Qwen3-Omni artifacts use one episode and 128 train windows. A 128-episode selected relay is in
|
| 2450 |
<div class="evidence-links">
|
| 2451 |
<a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/EVIDENCE_CONTRACT.md">evidence contract</a>
|
| 2452 |
<a href="data/evidence_contract.json">machine JSON</a>
|
|
@@ -3079,8 +3097,8 @@
|
|
| 3079 |
<section id="omni-relay" data-project-tab="resources" role="tabpanel" aria-labelledby="tab-resources" tabindex="-1">
|
| 3080 |
<div class="wrap">
|
| 3081 |
<div class="section-head">
|
| 3082 |
-
<h2>Qwen3-Omni pilot is in data staging.</h2>
|
| 3083 |
-
<p>Full Xperience-10M access is granted. The current plan selects 128 metadata-balanced episodes across 128 different session UUIDs, with
|
| 3084 |
</div>
|
| 3085 |
<div class="artifact-grid">
|
| 3086 |
<article class="artifact"><h3>Selection</h3><p>128 complete episodes selected from 128 unique top-level sessions, balanced across episode-size bands and split 96/16/16 for train/val/test.</p></article>
|
|
|
|
| 2172 |
<div class="wrap">
|
| 2173 |
<div class="section-head">
|
| 2174 |
<h2>Project overview and contributions.</h2>
|
| 2175 |
+
<p>The page is organized like a compact research project: motivation and scope, dataset sample, task suite, method, baselines, research directions, interactive walkthroughs, and resources for continuing the work. The public sample is used as a real but bounded research system, not as a final full-dataset benchmark.</p>
|
| 2176 |
</div>
|
| 2177 |
<div class="brief-panel">
|
| 2178 |
<div class="brief-panel-head">
|
|
|
|
| 2200 |
<p>The next model-quality stage is a held-out episode pilot over the selected multi-episode relay, with no train/test episode leakage and a completed omni-model evaluation report.</p>
|
| 2201 |
</article>
|
| 2202 |
</div>
|
| 2203 |
+
<div class="brief-grid" aria-label="Research capability map">
|
| 2204 |
+
<article class="brief-card">
|
| 2205 |
+
<strong>Data understanding</strong>
|
| 2206 |
+
<p>Maps one public episode into synchronized windows across video, audio, depth, pose/SLAM, mocap, IMU, calibration, and language-derived signals.</p>
|
| 2207 |
+
</article>
|
| 2208 |
+
<article class="brief-card">
|
| 2209 |
+
<strong>Task design</strong>
|
| 2210 |
+
<p>Defines embodied-AI inputs, process modules, outputs, metrics, and case-study walkthroughs instead of treating the sample as a generic classification file.</p>
|
| 2211 |
+
</article>
|
| 2212 |
+
<article class="brief-card">
|
| 2213 |
+
<strong>Evaluation discipline</strong>
|
| 2214 |
+
<p>Keeps chronological splits, predictions, confusion matrices, leakage notes, and single-episode limitations explicit before claiming broader model quality.</p>
|
| 2215 |
+
</article>
|
| 2216 |
+
<article class="brief-card">
|
| 2217 |
+
<strong>Scale-up readiness</strong>
|
| 2218 |
+
<p>Connects the same data contract to 32/128-episode held-out pilots, Qwen3-Omni LoRA, Cosmos-style world modeling, and later policy-model branches.</p>
|
| 2219 |
+
</article>
|
| 2220 |
+
</div>
|
| 2221 |
<div class="brief-actions">
|
| 2222 |
<a href="research_roadmap.html">Open interactive roadmap</a>
|
| 2223 |
<a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/PROJECT_BRIEF.md">Read the brief</a>
|
|
|
|
| 2285 |
<article class="snapshot-card gated">
|
| 2286 |
<span class="status-pill">staging</span>
|
| 2287 |
<h3>Omni-model scale-up path</h3>
|
| 2288 |
+
<p>Full-dataset access is granted, a 128-episode relay is in progress with chunked parallel transfer and overlapping batch prefetch, and full training results require completed staging, held-out splits, training, and evaluation.</p>
|
| 2289 |
<div class="snapshot-meta">
|
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+
<span>current stage <strong>accelerated relay staging</strong></span>
|
| 2291 |
<span>selected set <strong>128 episodes</strong></span>
|
| 2292 |
<span>held-out eval <strong>pending</strong></span>
|
| 2293 |
</div>
|
|
|
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| 2464 |
<article class="evidence-card">
|
| 2465 |
<span class="status-pill">staging</span>
|
| 2466 |
<h3>Qwen3-Omni pilot setup</h3>
|
| 2467 |
+
<p>The current Qwen3-Omni artifacts use one episode and 128 train windows. A 128-episode selected relay is in accelerated staging for held-out evaluation.</p>
|
| 2468 |
<div class="evidence-links">
|
| 2469 |
<a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/EVIDENCE_CONTRACT.md">evidence contract</a>
|
| 2470 |
<a href="data/evidence_contract.json">machine JSON</a>
|
|
|
|
| 3097 |
<section id="omni-relay" data-project-tab="resources" role="tabpanel" aria-labelledby="tab-resources" tabindex="-1">
|
| 3098 |
<div class="wrap">
|
| 3099 |
<div class="section-head">
|
| 3100 |
+
<h2>Qwen3-Omni pilot is in accelerated data staging.</h2>
|
| 3101 |
+
<p>Full Xperience-10M access is granted. The current plan selects 128 metadata-balanced episodes across 128 different session UUIDs, with chunked parallel transfer and overlapping batch prefetch in progress and no held-out metrics reported yet.</p>
|
| 3102 |
</div>
|
| 3103 |
<div class="artifact-grid">
|
| 3104 |
<article class="artifact"><h3>Selection</h3><p>128 complete episodes selected from 128 unique top-level sessions, balanced across episode-size bands and split 96/16/16 for train/val/test.</p></article>
|
index.html
CHANGED
|
@@ -2172,7 +2172,7 @@
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|
| 2172 |
<div class="wrap">
|
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<div class="section-head">
|
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<h2>Project overview and contributions.</h2>
|
| 2175 |
-
<p>The page is organized like a compact research project: motivation and scope, dataset sample, task suite, method, baselines, research directions, interactive walkthroughs, and resources for continuing the work.</p>
|
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</div>
|
| 2177 |
<div class="brief-panel">
|
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<div class="brief-panel-head">
|
|
@@ -2200,6 +2200,24 @@
|
|
| 2200 |
<p>The next model-quality stage is a held-out episode pilot over the selected multi-episode relay, with no train/test episode leakage and a completed omni-model evaluation report.</p>
|
| 2201 |
</article>
|
| 2202 |
</div>
|
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|
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|
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|
|
|
|
| 2203 |
<div class="brief-actions">
|
| 2204 |
<a href="research_roadmap.html">Open interactive roadmap</a>
|
| 2205 |
<a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/PROJECT_BRIEF.md">Read the brief</a>
|
|
@@ -2267,9 +2285,9 @@
|
|
| 2267 |
<article class="snapshot-card gated">
|
| 2268 |
<span class="status-pill">staging</span>
|
| 2269 |
<h3>Omni-model scale-up path</h3>
|
| 2270 |
-
<p>Full-dataset access is granted, a 128-episode relay is in progress, and full training results require completed staging, held-out splits, training, and evaluation.</p>
|
| 2271 |
<div class="snapshot-meta">
|
| 2272 |
-
<span>current stage <strong>relay
|
| 2273 |
<span>selected set <strong>128 episodes</strong></span>
|
| 2274 |
<span>held-out eval <strong>pending</strong></span>
|
| 2275 |
</div>
|
|
@@ -2446,7 +2464,7 @@
|
|
| 2446 |
<article class="evidence-card">
|
| 2447 |
<span class="status-pill">staging</span>
|
| 2448 |
<h3>Qwen3-Omni pilot setup</h3>
|
| 2449 |
-
<p>The current Qwen3-Omni artifacts use one episode and 128 train windows. A 128-episode selected relay is in
|
| 2450 |
<div class="evidence-links">
|
| 2451 |
<a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/EVIDENCE_CONTRACT.md">evidence contract</a>
|
| 2452 |
<a href="data/evidence_contract.json">machine JSON</a>
|
|
@@ -3079,8 +3097,8 @@
|
|
| 3079 |
<section id="omni-relay" data-project-tab="resources" role="tabpanel" aria-labelledby="tab-resources" tabindex="-1">
|
| 3080 |
<div class="wrap">
|
| 3081 |
<div class="section-head">
|
| 3082 |
-
<h2>Qwen3-Omni pilot is in data staging.</h2>
|
| 3083 |
-
<p>Full Xperience-10M access is granted. The current plan selects 128 metadata-balanced episodes across 128 different session UUIDs, with
|
| 3084 |
</div>
|
| 3085 |
<div class="artifact-grid">
|
| 3086 |
<article class="artifact"><h3>Selection</h3><p>128 complete episodes selected from 128 unique top-level sessions, balanced across episode-size bands and split 96/16/16 for train/val/test.</p></article>
|
|
|
|
| 2172 |
<div class="wrap">
|
| 2173 |
<div class="section-head">
|
| 2174 |
<h2>Project overview and contributions.</h2>
|
| 2175 |
+
<p>The page is organized like a compact research project: motivation and scope, dataset sample, task suite, method, baselines, research directions, interactive walkthroughs, and resources for continuing the work. The public sample is used as a real but bounded research system, not as a final full-dataset benchmark.</p>
|
| 2176 |
</div>
|
| 2177 |
<div class="brief-panel">
|
| 2178 |
<div class="brief-panel-head">
|
|
|
|
| 2200 |
<p>The next model-quality stage is a held-out episode pilot over the selected multi-episode relay, with no train/test episode leakage and a completed omni-model evaluation report.</p>
|
| 2201 |
</article>
|
| 2202 |
</div>
|
| 2203 |
+
<div class="brief-grid" aria-label="Research capability map">
|
| 2204 |
+
<article class="brief-card">
|
| 2205 |
+
<strong>Data understanding</strong>
|
| 2206 |
+
<p>Maps one public episode into synchronized windows across video, audio, depth, pose/SLAM, mocap, IMU, calibration, and language-derived signals.</p>
|
| 2207 |
+
</article>
|
| 2208 |
+
<article class="brief-card">
|
| 2209 |
+
<strong>Task design</strong>
|
| 2210 |
+
<p>Defines embodied-AI inputs, process modules, outputs, metrics, and case-study walkthroughs instead of treating the sample as a generic classification file.</p>
|
| 2211 |
+
</article>
|
| 2212 |
+
<article class="brief-card">
|
| 2213 |
+
<strong>Evaluation discipline</strong>
|
| 2214 |
+
<p>Keeps chronological splits, predictions, confusion matrices, leakage notes, and single-episode limitations explicit before claiming broader model quality.</p>
|
| 2215 |
+
</article>
|
| 2216 |
+
<article class="brief-card">
|
| 2217 |
+
<strong>Scale-up readiness</strong>
|
| 2218 |
+
<p>Connects the same data contract to 32/128-episode held-out pilots, Qwen3-Omni LoRA, Cosmos-style world modeling, and later policy-model branches.</p>
|
| 2219 |
+
</article>
|
| 2220 |
+
</div>
|
| 2221 |
<div class="brief-actions">
|
| 2222 |
<a href="research_roadmap.html">Open interactive roadmap</a>
|
| 2223 |
<a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/PROJECT_BRIEF.md">Read the brief</a>
|
|
|
|
| 2285 |
<article class="snapshot-card gated">
|
| 2286 |
<span class="status-pill">staging</span>
|
| 2287 |
<h3>Omni-model scale-up path</h3>
|
| 2288 |
+
<p>Full-dataset access is granted, a 128-episode relay is in progress with chunked parallel transfer and overlapping batch prefetch, and full training results require completed staging, held-out splits, training, and evaluation.</p>
|
| 2289 |
<div class="snapshot-meta">
|
| 2290 |
+
<span>current stage <strong>accelerated relay staging</strong></span>
|
| 2291 |
<span>selected set <strong>128 episodes</strong></span>
|
| 2292 |
<span>held-out eval <strong>pending</strong></span>
|
| 2293 |
</div>
|
|
|
|
| 2464 |
<article class="evidence-card">
|
| 2465 |
<span class="status-pill">staging</span>
|
| 2466 |
<h3>Qwen3-Omni pilot setup</h3>
|
| 2467 |
+
<p>The current Qwen3-Omni artifacts use one episode and 128 train windows. A 128-episode selected relay is in accelerated staging for held-out evaluation.</p>
|
| 2468 |
<div class="evidence-links">
|
| 2469 |
<a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/EVIDENCE_CONTRACT.md">evidence contract</a>
|
| 2470 |
<a href="data/evidence_contract.json">machine JSON</a>
|
|
|
|
| 3097 |
<section id="omni-relay" data-project-tab="resources" role="tabpanel" aria-labelledby="tab-resources" tabindex="-1">
|
| 3098 |
<div class="wrap">
|
| 3099 |
<div class="section-head">
|
| 3100 |
+
<h2>Qwen3-Omni pilot is in accelerated data staging.</h2>
|
| 3101 |
+
<p>Full Xperience-10M access is granted. The current plan selects 128 metadata-balanced episodes across 128 different session UUIDs, with chunked parallel transfer and overlapping batch prefetch in progress and no held-out metrics reported yet.</p>
|
| 3102 |
</div>
|
| 3103 |
<div class="artifact-grid">
|
| 3104 |
<article class="artifact"><h3>Selection</h3><p>128 complete episodes selected from 128 unique top-level sessions, balanced across episode-size bands and split 96/16/16 for train/val/test.</p></article>
|
metrics/artifact_index.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Task Suite Artifact Index",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"status": "pass",
|
| 5 |
"artifact_count": 72,
|
| 6 |
"missing": [],
|
|
@@ -40,8 +40,8 @@
|
|
| 40 |
"surface": "repo_hf",
|
| 41 |
"shows": "Gives first-pass readers a concise project shape before the detailed artifact trail.",
|
| 42 |
"exists": true,
|
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-
"bytes":
|
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-
"sha256": "
|
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| 46 |
{
|
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"id": "project_brief_json",
|
|
@@ -51,8 +51,8 @@
|
|
| 51 |
"surface": "website_hf",
|
| 52 |
"shows": "Machine-readable first-reader project brief for the website and Hugging Face mirrors.",
|
| 53 |
"exists": true,
|
| 54 |
-
"bytes":
|
| 55 |
-
"sha256": "
|
| 56 |
},
|
| 57 |
{
|
| 58 |
"id": "project_status",
|
|
@@ -62,8 +62,8 @@
|
|
| 62 |
"surface": "repo_hf",
|
| 63 |
"shows": "Gives a compact current-state table for first-pass readers.",
|
| 64 |
"exists": true,
|
| 65 |
-
"bytes":
|
| 66 |
-
"sha256": "
|
| 67 |
},
|
| 68 |
{
|
| 69 |
"id": "project_status_json",
|
|
@@ -73,8 +73,8 @@
|
|
| 73 |
"surface": "website_hf",
|
| 74 |
"shows": "Machine-readable copy of the current project status for website and HF mirrors.",
|
| 75 |
"exists": true,
|
| 76 |
-
"bytes":
|
| 77 |
-
"sha256": "
|
| 78 |
},
|
| 79 |
{
|
| 80 |
"id": "research_roadmap",
|
|
@@ -139,8 +139,8 @@
|
|
| 139 |
"surface": "website_hf",
|
| 140 |
"shows": "Gives a short project path with scope status and public surfaces.",
|
| 141 |
"exists": true,
|
| 142 |
-
"bytes":
|
| 143 |
-
"sha256": "
|
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},
|
| 145 |
{
|
| 146 |
"id": "artifact_guide",
|
|
@@ -173,7 +173,7 @@
|
|
| 173 |
"shows": "Machine-readable upstream dataset-card, sample-card, and HF API alignment facts for website and HF mirrors.",
|
| 174 |
"exists": true,
|
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"bytes": 7559,
|
| 176 |
-
"sha256": "
|
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},
|
| 178 |
{
|
| 179 |
"id": "source_alignment",
|
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@@ -195,7 +195,7 @@
|
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| 195 |
"shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
|
| 196 |
"exists": true,
|
| 197 |
"bytes": 4432,
|
| 198 |
-
"sha256": "
|
| 199 |
},
|
| 200 |
{
|
| 201 |
"id": "source_alignment_validator",
|
|
@@ -216,8 +216,8 @@
|
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| 216 |
"surface": "repo_hf",
|
| 217 |
"shows": "Publishes prepared Space, artifact dataset, and model bundles, including an explicit model-binary upload batch.",
|
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"exists": true,
|
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-
"bytes":
|
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-
"sha256": "
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| 222 |
{
|
| 223 |
"id": "evaluation_protocol",
|
|
@@ -238,8 +238,8 @@
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|
| 238 |
"surface": "website_hf",
|
| 239 |
"shows": "Machine-readable protocol generated from committed task metrics for website and HF mirrors.",
|
| 240 |
"exists": true,
|
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-
"bytes":
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"sha256": "
|
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{
|
| 245 |
"id": "evaluation_protocol_builder",
|
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@@ -426,7 +426,7 @@
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"shows": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
|
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"exists": true,
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"bytes": 8118,
|
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-
"sha256": "
|
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| 431 |
{
|
| 432 |
"id": "public_surface_qa",
|
|
@@ -597,7 +597,7 @@
|
|
| 597 |
"volatile": true,
|
| 598 |
"shows": "Separates setup paths from completed held-out-episode results.",
|
| 599 |
"exists": true,
|
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-
"bytes":
|
| 601 |
"hash_policy": "existence_and_size_only"
|
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},
|
| 603 |
{
|
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@@ -609,7 +609,7 @@
|
|
| 609 |
"volatile": true,
|
| 610 |
"shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
|
| 611 |
"exists": true,
|
| 612 |
-
"bytes":
|
| 613 |
"hash_policy": "existence_and_size_only"
|
| 614 |
},
|
| 615 |
{
|
|
@@ -654,8 +654,8 @@
|
|
| 654 |
"surface": "website_hf",
|
| 655 |
"shows": "Mirrors task metrics for the static dashboard.",
|
| 656 |
"exists": true,
|
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-
"bytes":
|
| 658 |
-
"sha256": "
|
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},
|
| 660 |
{
|
| 661 |
"id": "feature_manifest",
|
|
@@ -720,8 +720,8 @@
|
|
| 720 |
"surface": "repo_hf",
|
| 721 |
"shows": "Stores one coded extension probe per research direction with minimal and neural metrics.",
|
| 722 |
"exists": true,
|
| 723 |
-
"bytes":
|
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-
"sha256": "
|
| 725 |
},
|
| 726 |
{
|
| 727 |
"id": "task_walkthroughs",
|
|
@@ -797,8 +797,8 @@
|
|
| 797 |
"surface": "repo_hf",
|
| 798 |
"shows": "Summarizes the staging requirement before the held-out Qwen3-Omni pilot can report metrics.",
|
| 799 |
"exists": true,
|
| 800 |
-
"bytes":
|
| 801 |
-
"sha256": "
|
| 802 |
},
|
| 803 |
{
|
| 804 |
"id": "multi_episode_access_status",
|
|
@@ -808,8 +808,8 @@
|
|
| 808 |
"surface": "repo_hf",
|
| 809 |
"shows": "Documents the public multi-episode access status and 32-episode pilot selection.",
|
| 810 |
"exists": true,
|
| 811 |
-
"bytes":
|
| 812 |
-
"sha256": "
|
| 813 |
},
|
| 814 |
{
|
| 815 |
"id": "citation",
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Task Suite Artifact Index",
|
| 3 |
+
"generated_at_utc": "2026-06-03T20:37:04+00:00",
|
| 4 |
"status": "pass",
|
| 5 |
"artifact_count": 72,
|
| 6 |
"missing": [],
|
|
|
|
| 40 |
"surface": "repo_hf",
|
| 41 |
"shows": "Gives first-pass readers a concise project shape before the detailed artifact trail.",
|
| 42 |
"exists": true,
|
| 43 |
+
"bytes": 3615,
|
| 44 |
+
"sha256": "a40c2119e5c4125c2ee8eaa725f373ae286ff3ec34c19638f54db1c616accebc"
|
| 45 |
},
|
| 46 |
{
|
| 47 |
"id": "project_brief_json",
|
|
|
|
| 51 |
"surface": "website_hf",
|
| 52 |
"shows": "Machine-readable first-reader project brief for the website and Hugging Face mirrors.",
|
| 53 |
"exists": true,
|
| 54 |
+
"bytes": 3645,
|
| 55 |
+
"sha256": "66056460f2d93691d19e9af2f47acb57bab561f3b2697884549d144569b70fa7"
|
| 56 |
},
|
| 57 |
{
|
| 58 |
"id": "project_status",
|
|
|
|
| 62 |
"surface": "repo_hf",
|
| 63 |
"shows": "Gives a compact current-state table for first-pass readers.",
|
| 64 |
"exists": true,
|
| 65 |
+
"bytes": 7200,
|
| 66 |
+
"sha256": "8c9e744fd2019a547831ae62fc6b7d7421c356c1199a3248e7399f49e3e97acf"
|
| 67 |
},
|
| 68 |
{
|
| 69 |
"id": "project_status_json",
|
|
|
|
| 73 |
"surface": "website_hf",
|
| 74 |
"shows": "Machine-readable copy of the current project status for website and HF mirrors.",
|
| 75 |
"exists": true,
|
| 76 |
+
"bytes": 9233,
|
| 77 |
+
"sha256": "f74b7265bebf28cf23688e81ea9aa392488ac110dcd9a8c9ebafb7f52935db35"
|
| 78 |
},
|
| 79 |
{
|
| 80 |
"id": "research_roadmap",
|
|
|
|
| 139 |
"surface": "website_hf",
|
| 140 |
"shows": "Gives a short project path with scope status and public surfaces.",
|
| 141 |
"exists": true,
|
| 142 |
+
"bytes": 7722,
|
| 143 |
+
"sha256": "06aa7bc21ee856c3d99cb95e30bb6f376eb8deed4289774740af4b9ed353749f"
|
| 144 |
},
|
| 145 |
{
|
| 146 |
"id": "artifact_guide",
|
|
|
|
| 173 |
"shows": "Machine-readable upstream dataset-card, sample-card, and HF API alignment facts for website and HF mirrors.",
|
| 174 |
"exists": true,
|
| 175 |
"bytes": 7559,
|
| 176 |
+
"sha256": "417e65746724c87cbf1cd40f6451f1f6fe6098f60ba0b1c24d11e718fc86e257"
|
| 177 |
},
|
| 178 |
{
|
| 179 |
"id": "source_alignment",
|
|
|
|
| 195 |
"shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
|
| 196 |
"exists": true,
|
| 197 |
"bytes": 4432,
|
| 198 |
+
"sha256": "8d9707786cf4d48c7c7cbb13e9dbc915d9da39aeeeb6549e6a1f6d6ea426f890"
|
| 199 |
},
|
| 200 |
{
|
| 201 |
"id": "source_alignment_validator",
|
|
|
|
| 216 |
"surface": "repo_hf",
|
| 217 |
"shows": "Publishes prepared Space, artifact dataset, and model bundles, including an explicit model-binary upload batch.",
|
| 218 |
"exists": true,
|
| 219 |
+
"bytes": 15901,
|
| 220 |
+
"sha256": "60f27a4d32c48e6960445bfafe917ce30d6a43211153146a52ae068f051de4e8"
|
| 221 |
},
|
| 222 |
{
|
| 223 |
"id": "evaluation_protocol",
|
|
|
|
| 238 |
"surface": "website_hf",
|
| 239 |
"shows": "Machine-readable protocol generated from committed task metrics for website and HF mirrors.",
|
| 240 |
"exists": true,
|
| 241 |
+
"bytes": 13686,
|
| 242 |
+
"sha256": "a2a35bd3b05e228c99c5ef7cc002c84708dcaff893cd01d51b011dadbf2c02c4"
|
| 243 |
},
|
| 244 |
{
|
| 245 |
"id": "evaluation_protocol_builder",
|
|
|
|
| 426 |
"shows": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
|
| 427 |
"exists": true,
|
| 428 |
"bytes": 8118,
|
| 429 |
+
"sha256": "595b2e050028b612b57ecfb5086c66bdf5040be90250430537cbd9e1b9c09e76"
|
| 430 |
},
|
| 431 |
{
|
| 432 |
"id": "public_surface_qa",
|
|
|
|
| 597 |
"volatile": true,
|
| 598 |
"shows": "Separates setup paths from completed held-out-episode results.",
|
| 599 |
"exists": true,
|
| 600 |
+
"bytes": 19226,
|
| 601 |
"hash_policy": "existence_and_size_only"
|
| 602 |
},
|
| 603 |
{
|
|
|
|
| 609 |
"volatile": true,
|
| 610 |
"shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
|
| 611 |
"exists": true,
|
| 612 |
+
"bytes": 108609,
|
| 613 |
"hash_policy": "existence_and_size_only"
|
| 614 |
},
|
| 615 |
{
|
|
|
|
| 654 |
"surface": "website_hf",
|
| 655 |
"shows": "Mirrors task metrics for the static dashboard.",
|
| 656 |
"exists": true,
|
| 657 |
+
"bytes": 25369,
|
| 658 |
+
"sha256": "884c9caf1517126f4c93b5c903121d29806922ecbd42bc2c34e2e568b9af83e3"
|
| 659 |
},
|
| 660 |
{
|
| 661 |
"id": "feature_manifest",
|
|
|
|
| 720 |
"surface": "repo_hf",
|
| 721 |
"shows": "Stores one coded extension probe per research direction with minimal and neural metrics.",
|
| 722 |
"exists": true,
|
| 723 |
+
"bytes": 11903,
|
| 724 |
+
"sha256": "010e254b61de6cc199e8e710fb10d8304c8156835f5cbafb79202996a74c0c77"
|
| 725 |
},
|
| 726 |
{
|
| 727 |
"id": "task_walkthroughs",
|
|
|
|
| 797 |
"surface": "repo_hf",
|
| 798 |
"shows": "Summarizes the staging requirement before the held-out Qwen3-Omni pilot can report metrics.",
|
| 799 |
"exists": true,
|
| 800 |
+
"bytes": 3142,
|
| 801 |
+
"sha256": "e55fbb9cadb6eb50fca8d787156e603067e99710b9b4c8efeafb638e5ea9064c"
|
| 802 |
},
|
| 803 |
{
|
| 804 |
"id": "multi_episode_access_status",
|
|
|
|
| 808 |
"surface": "repo_hf",
|
| 809 |
"shows": "Documents the public multi-episode access status and 32-episode pilot selection.",
|
| 810 |
"exists": true,
|
| 811 |
+
"bytes": 2532,
|
| 812 |
+
"sha256": "7881cfca4a2b33712f52c55edea0db54b417169fff4fce636c1c7709ba43b95d"
|
| 813 |
},
|
| 814 |
{
|
| 815 |
"id": "citation",
|
metrics/live_publication_status.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Live Publication Status",
|
| 3 |
"status": "pass",
|
| 4 |
-
"checked_at_utc": "2026-06-
|
| 5 |
"scope": "Live GitHub Pages, GitHub raw, Hugging Face Space, artifact dataset, and model card mirrors.",
|
| 6 |
"hash_groups": [
|
| 7 |
{
|
|
@@ -57,40 +57,40 @@
|
|
| 57 |
"local": {
|
| 58 |
"path": "docs/data/quality_gates.json",
|
| 59 |
"exists": true,
|
| 60 |
-
"bytes":
|
| 61 |
-
"sha256": "
|
| 62 |
},
|
| 63 |
"mirrors": {
|
| 64 |
"github_pages": {
|
| 65 |
"ok": true,
|
| 66 |
"status_code": 200,
|
| 67 |
-
"bytes":
|
| 68 |
-
"sha256": "
|
| 69 |
"final_url": "https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/data/quality_gates.json",
|
| 70 |
"url": "https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/data/quality_gates.json"
|
| 71 |
},
|
| 72 |
"hf_space": {
|
| 73 |
"ok": true,
|
| 74 |
"status_code": 200,
|
| 75 |
-
"bytes":
|
| 76 |
-
"sha256": "
|
| 77 |
"final_url": "https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite/raw/main/data/quality_gates.json",
|
| 78 |
"url": "https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite/raw/main/data/quality_gates.json"
|
| 79 |
},
|
| 80 |
"hf_artifacts": {
|
| 81 |
"ok": true,
|
| 82 |
"status_code": 200,
|
| 83 |
-
"bytes":
|
| 84 |
-
"sha256": "
|
| 85 |
-
"final_url": "https://huggingface.co/api/resolve-cache/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts/
|
| 86 |
"url": "https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts/resolve/main/docs/data/quality_gates.json"
|
| 87 |
},
|
| 88 |
"hf_model": {
|
| 89 |
"ok": true,
|
| 90 |
"status_code": 200,
|
| 91 |
-
"bytes":
|
| 92 |
-
"sha256": "
|
| 93 |
-
"final_url": "https://huggingface.co/api/resolve-cache/models/cy0307/ropedia-xperience-10m-task-baselines/
|
| 94 |
"url": "https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines/resolve/main/metrics/quality_gates.json"
|
| 95 |
}
|
| 96 |
},
|
|
@@ -128,7 +128,7 @@
|
|
| 128 |
"status_code": 200,
|
| 129 |
"bytes": 4297465,
|
| 130 |
"sha256": "89481cb9c11e923aef55dddd50b41a6fcc20ebf83efa94eb71df73b7782561f5",
|
| 131 |
-
"final_url": "https://huggingface.co/api/resolve-cache/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts/
|
| 132 |
"url": "https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts/resolve/main/docs/data/single_episode_explorer.json"
|
| 133 |
},
|
| 134 |
"hf_model": {
|
|
@@ -136,7 +136,7 @@
|
|
| 136 |
"status_code": 200,
|
| 137 |
"bytes": 4297465,
|
| 138 |
"sha256": "89481cb9c11e923aef55dddd50b41a6fcc20ebf83efa94eb71df73b7782561f5",
|
| 139 |
-
"final_url": "https://huggingface.co/api/resolve-cache/models/cy0307/ropedia-xperience-10m-task-baselines/
|
| 140 |
"url": "https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines/resolve/main/metrics/single_episode_explorer.json"
|
| 141 |
}
|
| 142 |
},
|
|
@@ -174,7 +174,7 @@
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|
| 174 |
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| 175 |
"bytes": 2766828,
|
| 176 |
"sha256": "19feb5e101ef50ec9f2a03e608ac75da68d642a2a38f20bd475635f0928279f0",
|
| 177 |
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"final_url": "https://huggingface.co/api/resolve-cache/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts/
|
| 178 |
"url": "https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts/resolve/main/docs/single_episode_explorer.html"
|
| 179 |
},
|
| 180 |
"hf_model": {
|
|
@@ -182,7 +182,7 @@
|
|
| 182 |
"status_code": 200,
|
| 183 |
"bytes": 2766828,
|
| 184 |
"sha256": "19feb5e101ef50ec9f2a03e608ac75da68d642a2a38f20bd475635f0928279f0",
|
| 185 |
-
"final_url": "https://huggingface.co/api/resolve-cache/models/cy0307/ropedia-xperience-10m-task-baselines/
|
| 186 |
"url": "https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines/resolve/main/single_episode_explorer.html"
|
| 187 |
}
|
| 188 |
},
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|
@@ -220,7 +220,7 @@
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|
| 220 |
"status_code": 200,
|
| 221 |
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|
| 222 |
"sha256": "05864ee10e582a4c05a5f1cdda4ae92a387c457375f4c7631fd303de96ad0c98",
|
| 223 |
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"final_url": "https://huggingface.co/api/resolve-cache/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts/
|
| 224 |
"url": "https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts/resolve/main/docs/research_roadmap.html"
|
| 225 |
},
|
| 226 |
"hf_model": {
|
|
@@ -228,7 +228,7 @@
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|
| 228 |
"status_code": 200,
|
| 229 |
"bytes": 31593,
|
| 230 |
"sha256": "05864ee10e582a4c05a5f1cdda4ae92a387c457375f4c7631fd303de96ad0c98",
|
| 231 |
-
"final_url": "https://huggingface.co/api/resolve-cache/models/cy0307/ropedia-xperience-10m-task-baselines/
|
| 232 |
"url": "https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines/resolve/main/research_roadmap.html"
|
| 233 |
}
|
| 234 |
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|
|
@@ -266,7 +266,7 @@
|
|
| 266 |
"status_code": 200,
|
| 267 |
"bytes": 4072,
|
| 268 |
"sha256": "7189be7fc773943859dc75a6119c1fb654d8905ea381e8fc9f782d4b33f5e466",
|
| 269 |
-
"final_url": "https://huggingface.co/api/resolve-cache/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts/
|
| 270 |
"url": "https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts/resolve/main/results/single_episode_diagnostics/provenance.json"
|
| 271 |
},
|
| 272 |
"hf_model": {
|
|
@@ -274,7 +274,7 @@
|
|
| 274 |
"status_code": 200,
|
| 275 |
"bytes": 4072,
|
| 276 |
"sha256": "7189be7fc773943859dc75a6119c1fb654d8905ea381e8fc9f782d4b33f5e466",
|
| 277 |
-
"final_url": "https://huggingface.co/api/resolve-cache/models/cy0307/ropedia-xperience-10m-task-baselines/
|
| 278 |
"url": "https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines/resolve/main/results/single_episode_diagnostics/provenance.json"
|
| 279 |
}
|
| 280 |
},
|
|
@@ -312,7 +312,7 @@
|
|
| 312 |
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|
| 313 |
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|
| 314 |
"sha256": "813320bbe5d57c74803f5dfb080d440ef1804af41950e031d82ab80311eb04c7",
|
| 315 |
-
"final_url": "https://huggingface.co/api/resolve-cache/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts/
|
| 316 |
"url": "https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts/resolve/main/results/single_episode_diagnostics/object_labels/object_vocab.json"
|
| 317 |
},
|
| 318 |
"hf_model": {
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|
@@ -320,7 +320,7 @@
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|
| 320 |
"status_code": 200,
|
| 321 |
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|
| 322 |
"sha256": "813320bbe5d57c74803f5dfb080d440ef1804af41950e031d82ab80311eb04c7",
|
| 323 |
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"final_url": "https://huggingface.co/api/resolve-cache/models/cy0307/ropedia-xperience-10m-task-baselines/
|
| 324 |
"url": "https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines/resolve/main/results/single_episode_diagnostics/object_labels/object_vocab.json"
|
| 325 |
}
|
| 326 |
},
|
|
@@ -334,14 +334,14 @@
|
|
| 334 |
"path": "docs/data/public_surface_qa.json",
|
| 335 |
"exists": true,
|
| 336 |
"bytes": 5631,
|
| 337 |
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"sha256": "
|
| 338 |
},
|
| 339 |
"mirrors": {
|
| 340 |
"github_pages": {
|
| 341 |
"ok": true,
|
| 342 |
"status_code": 200,
|
| 343 |
"bytes": 5631,
|
| 344 |
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"sha256": "
|
| 345 |
"final_url": "https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/data/public_surface_qa.json",
|
| 346 |
"url": "https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/data/public_surface_qa.json"
|
| 347 |
},
|
|
@@ -349,7 +349,7 @@
|
|
| 349 |
"ok": true,
|
| 350 |
"status_code": 200,
|
| 351 |
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|
| 352 |
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"sha256": "
|
| 353 |
"final_url": "https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite/raw/main/data/public_surface_qa.json",
|
| 354 |
"url": "https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite/raw/main/data/public_surface_qa.json"
|
| 355 |
},
|
|
@@ -357,16 +357,16 @@
|
|
| 357 |
"ok": true,
|
| 358 |
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|
| 359 |
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|
| 360 |
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"sha256": "
|
| 361 |
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"final_url": "https://huggingface.co/api/resolve-cache/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts/
|
| 362 |
"url": "https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts/resolve/main/docs/data/public_surface_qa.json"
|
| 363 |
},
|
| 364 |
"hf_model": {
|
| 365 |
"ok": true,
|
| 366 |
"status_code": 200,
|
| 367 |
"bytes": 5631,
|
| 368 |
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"sha256": "
|
| 369 |
-
"final_url": "https://huggingface.co/api/resolve-cache/models/cy0307/ropedia-xperience-10m-task-baselines/
|
| 370 |
"url": "https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines/resolve/main/metrics/public_surface_qa.json"
|
| 371 |
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|
| 372 |
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|
|
@@ -404,7 +404,7 @@
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|
| 404 |
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|
| 405 |
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|
| 406 |
"sha256": "2390c3663e9a110b9ed2f9c581b88a95bbd811a72ffb3e8dc780dae420e0f919",
|
| 407 |
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"final_url": "https://huggingface.co/api/resolve-cache/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts/
|
| 408 |
"url": "https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts/resolve/main/docs/data/rendered_site_check.json"
|
| 409 |
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|
| 410 |
"hf_model": {
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|
@@ -412,7 +412,7 @@
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|
| 412 |
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|
| 413 |
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|
| 414 |
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| 415 |
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"final_url": "https://huggingface.co/api/resolve-cache/models/cy0307/ropedia-xperience-10m-task-baselines/
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| 416 |
"url": "https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines/resolve/main/metrics/rendered_site_check.json"
|
| 417 |
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|
| 418 |
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|
|
@@ -425,40 +425,40 @@
|
|
| 425 |
"local": {
|
| 426 |
"path": "docs/data/xperience10m_dataset_card_alignment.json",
|
| 427 |
"exists": true,
|
| 428 |
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"bytes":
|
| 429 |
-
"sha256": "
|
| 430 |
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|
| 431 |
"mirrors": {
|
| 432 |
"github_pages": {
|
| 433 |
"ok": true,
|
| 434 |
"status_code": 200,
|
| 435 |
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"bytes":
|
| 436 |
-
"sha256": "
|
| 437 |
"final_url": "https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/data/xperience10m_dataset_card_alignment.json",
|
| 438 |
"url": "https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/data/xperience10m_dataset_card_alignment.json"
|
| 439 |
},
|
| 440 |
"hf_space": {
|
| 441 |
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|
| 442 |
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|
| 443 |
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"bytes":
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| 444 |
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"sha256": "
|
| 445 |
"final_url": "https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite/raw/main/data/xperience10m_dataset_card_alignment.json",
|
| 446 |
"url": "https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite/raw/main/data/xperience10m_dataset_card_alignment.json"
|
| 447 |
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|
| 448 |
"hf_artifacts": {
|
| 449 |
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|
| 450 |
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|
| 451 |
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"bytes":
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| 452 |
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|
| 453 |
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"final_url": "https://huggingface.co/api/resolve-cache/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts/
|
| 454 |
"url": "https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts/resolve/main/docs/data/xperience10m_dataset_card_alignment.json"
|
| 455 |
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|
| 456 |
"hf_model": {
|
| 457 |
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|
| 458 |
"status_code": 200,
|
| 459 |
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"bytes":
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| 460 |
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"sha256": "
|
| 461 |
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"final_url": "https://huggingface.co/api/resolve-cache/models/cy0307/ropedia-xperience-10m-task-baselines/
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| 1168 |
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| 1201 |
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|
| 1202 |
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| 1214 |
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| 1218 |
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|
| 1219 |
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| 1220 |
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| 1231 |
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|
| 1236 |
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| 1248 |
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| 1251 |
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|
| 1253 |
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| 1254 |
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| 1255 |
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| 1265 |
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| 1269 |
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|
| 1270 |
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| 1271 |
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| 1282 |
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| 1286 |
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|
| 1287 |
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|
| 1288 |
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|
| 1299 |
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| 1300 |
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| 1302 |
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| 1303 |
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|
| 1304 |
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| 1305 |
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| 1306 |
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|
| 1316 |
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| 1317 |
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|
| 1318 |
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|
| 1319 |
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|
| 1320 |
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|
| 1321 |
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|
| 1322 |
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|
| 1323 |
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|
|
| 1333 |
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|
| 1334 |
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|
| 1335 |
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|
| 1336 |
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"sha256": "0f61bee108f0dc72f48c4edd0ca194fc5d108bb0c5cb7bcc86c6eaa56f5fae64",
|
| 1337 |
"final_url": "https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/data/public_surface_qa.json"
|
| 1338 |
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|
| 1339 |
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|
|
|
|
| 1350 |
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|
| 1351 |
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|
| 1352 |
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|
| 1353 |
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|
| 1354 |
"final_url": "https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite/raw/main/data/public_surface_qa.json"
|
| 1355 |
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| 1356 |
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|
|
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|
| 1367 |
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|
| 1368 |
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|
| 1369 |
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|
| 1370 |
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|
| 1371 |
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|
| 1372 |
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| 1373 |
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|
| 1374 |
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|
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|
| 1384 |
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|
| 1385 |
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|
| 1386 |
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|
| 1387 |
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|
| 1388 |
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|
| 1389 |
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| 1390 |
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| 1391 |
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metrics/mirror_parity.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"hf_root": "hf_publish",
|
| 5 |
"summary": {
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| 6 |
"group_count": 101,
|
|
@@ -71,27 +71,27 @@
|
|
| 71 |
"local": {
|
| 72 |
"path": "repo:docs/data/artifact_index.json",
|
| 73 |
"exists": true,
|
| 74 |
-
"bytes":
|
| 75 |
-
"sha256": "
|
| 76 |
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|
| 77 |
"mirrors": {
|
| 78 |
"hf_space": {
|
| 79 |
"path": "hf_space:data/artifact_index.json",
|
| 80 |
"exists": true,
|
| 81 |
-
"bytes":
|
| 82 |
-
"sha256": "
|
| 83 |
},
|
| 84 |
"hf_artifacts": {
|
| 85 |
"path": "hf_artifacts:docs/data/artifact_index.json",
|
| 86 |
"exists": true,
|
| 87 |
-
"bytes":
|
| 88 |
-
"sha256": "
|
| 89 |
},
|
| 90 |
"hf_model": {
|
| 91 |
"path": "hf_model:metrics/artifact_index.json",
|
| 92 |
"exists": true,
|
| 93 |
-
"bytes":
|
| 94 |
-
"sha256": "
|
| 95 |
}
|
| 96 |
},
|
| 97 |
"failures": []
|
|
@@ -258,26 +258,26 @@
|
|
| 258 |
"path": "repo:docs/data/live_publication_status.json",
|
| 259 |
"exists": true,
|
| 260 |
"bytes": 68749,
|
| 261 |
-
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|
| 262 |
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|
| 263 |
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|
| 264 |
"hf_space": {
|
| 265 |
"path": "hf_space:data/live_publication_status.json",
|
| 266 |
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|
| 267 |
"bytes": 68749,
|
| 268 |
-
"sha256": "
|
| 269 |
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|
| 270 |
"hf_artifacts": {
|
| 271 |
"path": "hf_artifacts:docs/data/live_publication_status.json",
|
| 272 |
"exists": true,
|
| 273 |
"bytes": 68749,
|
| 274 |
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|
| 275 |
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|
| 276 |
"hf_model": {
|
| 277 |
"path": "hf_model:metrics/live_publication_status.json",
|
| 278 |
"exists": true,
|
| 279 |
"bytes": 68749,
|
| 280 |
-
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|
| 281 |
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|
| 282 |
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|
| 283 |
"failures": []
|
|
@@ -319,27 +319,27 @@
|
|
| 319 |
"local": {
|
| 320 |
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|
| 321 |
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|
| 322 |
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| 323 |
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|
| 324 |
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|
| 325 |
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|
| 326 |
"hf_space": {
|
| 327 |
"path": "hf_space:data/project_brief.json",
|
| 328 |
"exists": true,
|
| 329 |
-
"bytes":
|
| 330 |
-
"sha256": "
|
| 331 |
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|
| 332 |
"hf_artifacts": {
|
| 333 |
"path": "hf_artifacts:docs/data/project_brief.json",
|
| 334 |
"exists": true,
|
| 335 |
-
"bytes":
|
| 336 |
-
"sha256": "
|
| 337 |
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|
| 338 |
"hf_model": {
|
| 339 |
"path": "hf_model:metrics/project_brief.json",
|
| 340 |
"exists": true,
|
| 341 |
-
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|
| 342 |
-
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|
| 343 |
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|
| 344 |
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|
| 345 |
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|
|
@@ -381,27 +381,27 @@
|
|
| 381 |
"local": {
|
| 382 |
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|
| 383 |
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|
| 384 |
-
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|
| 385 |
-
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|
| 386 |
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|
| 387 |
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|
| 388 |
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|
| 389 |
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|
| 390 |
"exists": true,
|
| 391 |
-
"bytes":
|
| 392 |
-
"sha256": "
|
| 393 |
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|
| 394 |
"hf_artifacts": {
|
| 395 |
"path": "hf_artifacts:docs/data/project_packet.json",
|
| 396 |
"exists": true,
|
| 397 |
-
"bytes":
|
| 398 |
-
"sha256": "
|
| 399 |
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|
| 400 |
"hf_model": {
|
| 401 |
"path": "hf_model:metrics/project_packet.json",
|
| 402 |
"exists": true,
|
| 403 |
-
"bytes":
|
| 404 |
-
"sha256": "
|
| 405 |
}
|
| 406 |
},
|
| 407 |
"failures": []
|
|
@@ -412,27 +412,27 @@
|
|
| 412 |
"local": {
|
| 413 |
"path": "repo:docs/data/project_status.json",
|
| 414 |
"exists": true,
|
| 415 |
-
"bytes":
|
| 416 |
-
"sha256": "
|
| 417 |
},
|
| 418 |
"mirrors": {
|
| 419 |
"hf_space": {
|
| 420 |
"path": "hf_space:data/project_status.json",
|
| 421 |
"exists": true,
|
| 422 |
-
"bytes":
|
| 423 |
-
"sha256": "
|
| 424 |
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|
| 425 |
"hf_artifacts": {
|
| 426 |
"path": "hf_artifacts:docs/data/project_status.json",
|
| 427 |
"exists": true,
|
| 428 |
-
"bytes":
|
| 429 |
-
"sha256": "
|
| 430 |
},
|
| 431 |
"hf_model": {
|
| 432 |
"path": "hf_model:metrics/project_status.json",
|
| 433 |
"exists": true,
|
| 434 |
-
"bytes":
|
| 435 |
-
"sha256": "
|
| 436 |
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|
| 437 |
},
|
| 438 |
"failures": []
|
|
@@ -444,26 +444,26 @@
|
|
| 444 |
"path": "repo:docs/data/publication_audit.json",
|
| 445 |
"exists": true,
|
| 446 |
"bytes": 7289,
|
| 447 |
-
"sha256": "
|
| 448 |
},
|
| 449 |
"mirrors": {
|
| 450 |
"hf_space": {
|
| 451 |
"path": "hf_space:data/publication_audit.json",
|
| 452 |
"exists": true,
|
| 453 |
"bytes": 7289,
|
| 454 |
-
"sha256": "
|
| 455 |
},
|
| 456 |
"hf_artifacts": {
|
| 457 |
"path": "hf_artifacts:docs/data/publication_audit.json",
|
| 458 |
"exists": true,
|
| 459 |
"bytes": 7289,
|
| 460 |
-
"sha256": "
|
| 461 |
},
|
| 462 |
"hf_model": {
|
| 463 |
"path": "hf_model:metrics/publication_audit.json",
|
| 464 |
"exists": true,
|
| 465 |
"bytes": 7289,
|
| 466 |
-
"sha256": "
|
| 467 |
}
|
| 468 |
},
|
| 469 |
"failures": []
|
|
@@ -475,26 +475,26 @@
|
|
| 475 |
"path": "repo:docs/data/public_surface_qa.json",
|
| 476 |
"exists": true,
|
| 477 |
"bytes": 5631,
|
| 478 |
-
"sha256": "
|
| 479 |
},
|
| 480 |
"mirrors": {
|
| 481 |
"hf_space": {
|
| 482 |
"path": "hf_space:data/public_surface_qa.json",
|
| 483 |
"exists": true,
|
| 484 |
"bytes": 5631,
|
| 485 |
-
"sha256": "
|
| 486 |
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|
| 487 |
"hf_artifacts": {
|
| 488 |
"path": "hf_artifacts:docs/data/public_surface_qa.json",
|
| 489 |
"exists": true,
|
| 490 |
"bytes": 5631,
|
| 491 |
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|
| 492 |
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|
| 493 |
"hf_model": {
|
| 494 |
"path": "hf_model:metrics/public_surface_qa.json",
|
| 495 |
"exists": true,
|
| 496 |
"bytes": 5631,
|
| 497 |
-
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|
| 498 |
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|
| 499 |
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|
| 500 |
"failures": []
|
|
@@ -506,26 +506,26 @@
|
|
| 506 |
"path": "repo:docs/data/quality_gates.json",
|
| 507 |
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|
| 508 |
"bytes": 8118,
|
| 509 |
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|
| 510 |
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|
| 511 |
"mirrors": {
|
| 512 |
"hf_space": {
|
| 513 |
"path": "hf_space:data/quality_gates.json",
|
| 514 |
"exists": true,
|
| 515 |
"bytes": 8118,
|
| 516 |
-
"sha256": "
|
| 517 |
},
|
| 518 |
"hf_artifacts": {
|
| 519 |
"path": "hf_artifacts:docs/data/quality_gates.json",
|
| 520 |
"exists": true,
|
| 521 |
"bytes": 8118,
|
| 522 |
-
"sha256": "
|
| 523 |
},
|
| 524 |
"hf_model": {
|
| 525 |
"path": "hf_model:metrics/quality_gates.json",
|
| 526 |
"exists": true,
|
| 527 |
"bytes": 8118,
|
| 528 |
-
"sha256": "
|
| 529 |
}
|
| 530 |
},
|
| 531 |
"failures": []
|
|
@@ -753,27 +753,27 @@
|
|
| 753 |
"local": {
|
| 754 |
"path": "repo:docs/data/scope_claims_audit.json",
|
| 755 |
"exists": true,
|
| 756 |
-
"bytes":
|
| 757 |
-
"sha256": "
|
| 758 |
},
|
| 759 |
"mirrors": {
|
| 760 |
"hf_space": {
|
| 761 |
"path": "hf_space:data/scope_claims_audit.json",
|
| 762 |
"exists": true,
|
| 763 |
-
"bytes":
|
| 764 |
-
"sha256": "
|
| 765 |
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|
| 766 |
"hf_artifacts": {
|
| 767 |
"path": "hf_artifacts:docs/data/scope_claims_audit.json",
|
| 768 |
"exists": true,
|
| 769 |
-
"bytes":
|
| 770 |
-
"sha256": "
|
| 771 |
},
|
| 772 |
"hf_model": {
|
| 773 |
"path": "hf_model:metrics/scope_claims_audit.json",
|
| 774 |
"exists": true,
|
| 775 |
-
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|
| 776 |
-
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|
| 777 |
}
|
| 778 |
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|
| 779 |
"failures": []
|
|
@@ -816,26 +816,26 @@
|
|
| 816 |
"path": "repo:docs/data/source_alignment_audit.json",
|
| 817 |
"exists": true,
|
| 818 |
"bytes": 4432,
|
| 819 |
-
"sha256": "
|
| 820 |
},
|
| 821 |
"mirrors": {
|
| 822 |
"hf_space": {
|
| 823 |
"path": "hf_space:data/source_alignment_audit.json",
|
| 824 |
"exists": true,
|
| 825 |
"bytes": 4432,
|
| 826 |
-
"sha256": "
|
| 827 |
},
|
| 828 |
"hf_artifacts": {
|
| 829 |
"path": "hf_artifacts:docs/data/source_alignment_audit.json",
|
| 830 |
"exists": true,
|
| 831 |
"bytes": 4432,
|
| 832 |
-
"sha256": "
|
| 833 |
},
|
| 834 |
"hf_model": {
|
| 835 |
"path": "hf_model:metrics/source_alignment_audit.json",
|
| 836 |
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|
| 837 |
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|
| 838 |
-
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|
| 839 |
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|
| 840 |
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|
| 841 |
"failures": []
|
|
@@ -846,27 +846,27 @@
|
|
| 846 |
"local": {
|
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metrics/project_packet.json
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|
| 146 |
"Feature-vector reconstruction is separate from pixel-depth, mesh, NeRF, or Gaussian reconstruction.",
|
| 147 |
"Raw Xperience-10M data is not redistributed in this repo."
|
| 148 |
]
|
metrics/project_status.json
CHANGED
|
@@ -2,6 +2,7 @@
|
|
| 2 |
"title": "Ropedia Xperience-10M Task Suite Project Status",
|
| 3 |
"version": "2026-06-01",
|
| 4 |
"decision": "public_sample_pipeline_verified_multi_episode_omni_data_staging",
|
|
|
|
| 5 |
"scope_boundary": {
|
| 6 |
"validated_episode_count": 1,
|
| 7 |
"aligned_frames": 5821,
|
|
|
|
| 2 |
"title": "Ropedia Xperience-10M Task Suite Project Status",
|
| 3 |
"version": "2026-06-01",
|
| 4 |
"decision": "public_sample_pipeline_verified_multi_episode_omni_data_staging",
|
| 5 |
+
"research_positioning": "A research-engineering study that makes one public Xperience-10M sample episode inspectable, defines embodied-AI tasks over synchronized modalities, records baseline behavior, and keeps later multi-episode model-quality claims separate from current single-episode evidence.",
|
| 6 |
"scope_boundary": {
|
| 7 |
"validated_episode_count": 1,
|
| 8 |
"aligned_frames": 5821,
|
metrics/public_surface_qa.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Public Project Surface",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
|
| 6 |
"checks": [
|
| 7 |
{
|
|
@@ -18,7 +18,7 @@
|
|
| 18 |
"website_integrity": {
|
| 19 |
"exists": true,
|
| 20 |
"status": "pass",
|
| 21 |
-
"generated_at_utc": "2026-06-
|
| 22 |
},
|
| 23 |
"rendered_site_check": {
|
| 24 |
"exists": true,
|
|
@@ -28,27 +28,27 @@
|
|
| 28 |
"task_surface_integrity": {
|
| 29 |
"exists": true,
|
| 30 |
"status": "pass",
|
| 31 |
-
"generated_at_utc": "2026-06-
|
| 32 |
},
|
| 33 |
"source_alignment": {
|
| 34 |
"exists": true,
|
| 35 |
"status": "pass",
|
| 36 |
-
"generated_at_utc": "2026-06-
|
| 37 |
},
|
| 38 |
"scale_up_status": {
|
| 39 |
"exists": true,
|
| 40 |
"status": "pass",
|
| 41 |
-
"generated_at_utc": "2026-06-
|
| 42 |
},
|
| 43 |
"publication_package": {
|
| 44 |
"exists": true,
|
| 45 |
"status": "pass",
|
| 46 |
-
"generated_at_utc": "2026-06-
|
| 47 |
},
|
| 48 |
"mirror_parity": {
|
| 49 |
"exists": true,
|
| 50 |
"status": "pass",
|
| 51 |
-
"generated_at_utc": "2026-06-
|
| 52 |
},
|
| 53 |
"live_publication": {
|
| 54 |
"exists": true,
|
|
@@ -100,10 +100,10 @@
|
|
| 100 |
"status": "pass",
|
| 101 |
"reason": "Public copy should consistently present the project as Ropedia Xperience-10M, with the Qwen3-Omni scale-up status.",
|
| 102 |
"marker_counts": {
|
| 103 |
-
"Ropedia Xperience-10M Task Suite":
|
| 104 |
-
"Xperience-10M":
|
| 105 |
"12-task": 33,
|
| 106 |
-
"Qwen3-Omni":
|
| 107 |
"128-episode relay": 6
|
| 108 |
}
|
| 109 |
},
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Public Project Surface",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-03T20:37:22+00:00",
|
| 5 |
"scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
|
| 6 |
"checks": [
|
| 7 |
{
|
|
|
|
| 18 |
"website_integrity": {
|
| 19 |
"exists": true,
|
| 20 |
"status": "pass",
|
| 21 |
+
"generated_at_utc": "2026-06-03T20:35:48+00:00"
|
| 22 |
},
|
| 23 |
"rendered_site_check": {
|
| 24 |
"exists": true,
|
|
|
|
| 28 |
"task_surface_integrity": {
|
| 29 |
"exists": true,
|
| 30 |
"status": "pass",
|
| 31 |
+
"generated_at_utc": "2026-06-03T20:36:23+00:00"
|
| 32 |
},
|
| 33 |
"source_alignment": {
|
| 34 |
"exists": true,
|
| 35 |
"status": "pass",
|
| 36 |
+
"generated_at_utc": "2026-06-03T20:36:23+00:00"
|
| 37 |
},
|
| 38 |
"scale_up_status": {
|
| 39 |
"exists": true,
|
| 40 |
"status": "pass",
|
| 41 |
+
"generated_at_utc": "2026-06-03T20:37:04+00:00"
|
| 42 |
},
|
| 43 |
"publication_package": {
|
| 44 |
"exists": true,
|
| 45 |
"status": "pass",
|
| 46 |
+
"generated_at_utc": "2026-06-03T20:08:35+00:00"
|
| 47 |
},
|
| 48 |
"mirror_parity": {
|
| 49 |
"exists": true,
|
| 50 |
"status": "pass",
|
| 51 |
+
"generated_at_utc": "2026-06-03T20:09:03+00:00"
|
| 52 |
},
|
| 53 |
"live_publication": {
|
| 54 |
"exists": true,
|
|
|
|
| 100 |
"status": "pass",
|
| 101 |
"reason": "Public copy should consistently present the project as Ropedia Xperience-10M, with the Qwen3-Omni scale-up status.",
|
| 102 |
"marker_counts": {
|
| 103 |
+
"Ropedia Xperience-10M Task Suite": 15,
|
| 104 |
+
"Xperience-10M": 131,
|
| 105 |
"12-task": 33,
|
| 106 |
+
"Qwen3-Omni": 83,
|
| 107 |
"128-episode relay": 6
|
| 108 |
}
|
| 109 |
},
|
metrics/publication_audit.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"checks": [
|
| 5 |
{
|
| 6 |
"name": "required_publication_assets_present",
|
|
@@ -204,7 +204,7 @@
|
|
| 204 |
"hf_artifact_bundle": {
|
| 205 |
"root": "hf_publish/artifacts",
|
| 206 |
"exists": true,
|
| 207 |
-
"file_count":
|
| 208 |
"text_file_count": 325,
|
| 209 |
"largest_file": {
|
| 210 |
"path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
|
|
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
+
"generated_at_utc": "2026-06-03T20:44:32+00:00",
|
| 4 |
"checks": [
|
| 5 |
{
|
| 6 |
"name": "required_publication_assets_present",
|
|
|
|
| 204 |
"hf_artifact_bundle": {
|
| 205 |
"root": "hf_publish/artifacts",
|
| 206 |
"exists": true,
|
| 207 |
+
"file_count": 411,
|
| 208 |
"text_file_count": 325,
|
| 209 |
"largest_file": {
|
| 210 |
"path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
|
metrics/quality_gates.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Release Checks",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
|
| 6 |
"automated_gates": [
|
| 7 |
{
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Release Checks",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-03T20:42:40+00:00",
|
| 5 |
"rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
|
| 6 |
"automated_gates": [
|
| 7 |
{
|
metrics/scope_claims_audit.json
CHANGED
|
@@ -1,14 +1,14 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"summary": {
|
| 5 |
"qwen3_omni_32_episode_claim": false,
|
| 6 |
"dataset_manifest_num_episodes": 1,
|
| 7 |
"dataset_manifest_num_samples": 128,
|
| 8 |
"training_metadata_num_train_samples": 128,
|
| 9 |
"source_discovery_ready_for_32_episode_pilot": false,
|
| 10 |
-
"historical_identifier_count":
|
| 11 |
-
"public_32_episode_status_file_count":
|
| 12 |
"failure_count": 0
|
| 13 |
},
|
| 14 |
"checks": [
|
|
@@ -39,7 +39,7 @@
|
|
| 39 |
{
|
| 40 |
"name": "summary_metrics_preserves_omni_scale_up_status",
|
| 41 |
"status": "pass",
|
| 42 |
-
"detail": "The
|
| 43 |
"evidence": [
|
| 44 |
"docs/data/summary_metrics.json"
|
| 45 |
]
|
|
@@ -90,45 +90,17 @@
|
|
| 90 |
{
|
| 91 |
"name": "historical_32ep_identifiers_are_confined_to_readiness_artifacts",
|
| 92 |
"status": "pass",
|
| 93 |
-
"detail": "historical identifiers found in result provenance files=
|
| 94 |
"evidence": [
|
| 95 |
"results/omni_finetune/"
|
| 96 |
]
|
| 97 |
}
|
| 98 |
],
|
| 99 |
"public_status_observations": [
|
| 100 |
-
{
|
| 101 |
-
"path": "README.md",
|
| 102 |
-
"contains_32_episode_status_text": true
|
| 103 |
-
},
|
| 104 |
-
{
|
| 105 |
-
"path": "ARTIFACT_GUIDE.md",
|
| 106 |
-
"contains_32_episode_status_text": true
|
| 107 |
-
},
|
| 108 |
-
{
|
| 109 |
-
"path": "EVIDENCE_CONTRACT.md",
|
| 110 |
-
"contains_32_episode_status_text": true
|
| 111 |
-
},
|
| 112 |
-
{
|
| 113 |
-
"path": "REPRODUCIBILITY.md",
|
| 114 |
-
"contains_32_episode_status_text": true
|
| 115 |
-
},
|
| 116 |
-
{
|
| 117 |
-
"path": "docs/index.html",
|
| 118 |
-
"contains_32_episode_status_text": true
|
| 119 |
-
},
|
| 120 |
{
|
| 121 |
"path": "docs/data/artifact_index.json",
|
| 122 |
"contains_32_episode_status_text": true
|
| 123 |
},
|
| 124 |
-
{
|
| 125 |
-
"path": "docs/data/evidence_contract.json",
|
| 126 |
-
"contains_32_episode_status_text": true
|
| 127 |
-
},
|
| 128 |
-
{
|
| 129 |
-
"path": "docs/data/reproducibility_matrix.json",
|
| 130 |
-
"contains_32_episode_status_text": true
|
| 131 |
-
},
|
| 132 |
{
|
| 133 |
"path": "docs/data/project_packet.json",
|
| 134 |
"contains_32_episode_status_text": true
|
|
@@ -199,6 +171,24 @@
|
|
| 199 |
],
|
| 200 |
"example": "- Dataset: `results/omni_finetune/xperience10m_qwen3_omni_32ep_dataset/dataset.jsonl`"
|
| 201 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 202 |
{
|
| 203 |
"classification": "historical_identifier_in_readiness_artifact",
|
| 204 |
"path": "results/omni_finetune/config.yaml",
|
|
@@ -438,30 +428,8 @@
|
|
| 438 |
"ropedia-episode-task-suite"
|
| 439 |
],
|
| 440 |
"example": "{\"id\": \"xperience-10m-sample:qa:42\", \"episode_id\": \"xperience-10m-sample\", \"split\": \"train\", \"target\": \"episode_qa\", \"prompt_type\": \"json_episode_understanding\", \"center_window\": {\"start_frame\": 840, \"end_frame\": 859, \"num_frames\": 20}, \"media\": {\"video_paths\""
|
| 441 |
-
},
|
| 442 |
-
{
|
| 443 |
-
"classification": "historical_identifier_in_readiness_artifact",
|
| 444 |
-
"path": "results/omni_finetune/dataset.jsonl",
|
| 445 |
-
"line": 20,
|
| 446 |
-
"patterns": [
|
| 447 |
-
"qwen3_omni_32ep",
|
| 448 |
-
"xperience10m_qwen3_omni_32ep",
|
| 449 |
-
"ropedia-episode-task-suite"
|
| 450 |
-
],
|
| 451 |
-
"example": "{\"id\": \"xperience-10m-sample:qa:43\", \"episode_id\": \"xperience-10m-sample\", \"split\": \"train\", \"target\": \"episode_qa\", \"prompt_type\": \"json_episode_understanding\", \"center_window\": {\"start_frame\": 860, \"end_frame\": 879, \"num_frames\": 20}, \"media\": {\"video_paths\""
|
| 452 |
-
},
|
| 453 |
-
{
|
| 454 |
-
"classification": "historical_identifier_in_readiness_artifact",
|
| 455 |
-
"path": "results/omni_finetune/dataset.jsonl",
|
| 456 |
-
"line": 21,
|
| 457 |
-
"patterns": [
|
| 458 |
-
"qwen3_omni_32ep",
|
| 459 |
-
"xperience10m_qwen3_omni_32ep",
|
| 460 |
-
"ropedia-episode-task-suite"
|
| 461 |
-
],
|
| 462 |
-
"example": "{\"id\": \"xperience-10m-sample:qa:44\", \"episode_id\": \"xperience-10m-sample\", \"split\": \"train\", \"target\": \"episode_qa\", \"prompt_type\": \"json_episode_understanding\", \"center_window\": {\"start_frame\": 880, \"end_frame\": 899, \"num_frames\": 20}, \"media\": {\"video_paths\""
|
| 463 |
}
|
| 464 |
],
|
| 465 |
-
"historical_identifier_total_count":
|
| 466 |
"failures": []
|
| 467 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
+
"generated_at_utc": "2026-06-03T20:37:04+00:00",
|
| 4 |
"summary": {
|
| 5 |
"qwen3_omni_32_episode_claim": false,
|
| 6 |
"dataset_manifest_num_episodes": 1,
|
| 7 |
"dataset_manifest_num_samples": 128,
|
| 8 |
"training_metadata_num_train_samples": 128,
|
| 9 |
"source_discovery_ready_for_32_episode_pilot": false,
|
| 10 |
+
"historical_identifier_count": 159,
|
| 11 |
+
"public_32_episode_status_file_count": 3,
|
| 12 |
"failure_count": 0
|
| 13 |
},
|
| 14 |
"checks": [
|
|
|
|
| 39 |
{
|
| 40 |
"name": "summary_metrics_preserves_omni_scale_up_status",
|
| 41 |
"status": "pass",
|
| 42 |
+
"detail": "The selected-episode Qwen3-Omni fine-tune requires completed data staging and held-out evaluation; the 32-episode Qwen3-Omni fine-tune requires gated data staging before any real held-out metric is reported.",
|
| 43 |
"evidence": [
|
| 44 |
"docs/data/summary_metrics.json"
|
| 45 |
]
|
|
|
|
| 90 |
{
|
| 91 |
"name": "historical_32ep_identifiers_are_confined_to_readiness_artifacts",
|
| 92 |
"status": "pass",
|
| 93 |
+
"detail": "historical identifiers found in result provenance files=159",
|
| 94 |
"evidence": [
|
| 95 |
"results/omni_finetune/"
|
| 96 |
]
|
| 97 |
}
|
| 98 |
],
|
| 99 |
"public_status_observations": [
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 100 |
{
|
| 101 |
"path": "docs/data/artifact_index.json",
|
| 102 |
"contains_32_episode_status_text": true
|
| 103 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 104 |
{
|
| 105 |
"path": "docs/data/project_packet.json",
|
| 106 |
"contains_32_episode_status_text": true
|
|
|
|
| 171 |
],
|
| 172 |
"example": "- Dataset: `results/omni_finetune/xperience10m_qwen3_omni_32ep_dataset/dataset.jsonl`"
|
| 173 |
},
|
| 174 |
+
{
|
| 175 |
+
"classification": "historical_identifier_in_readiness_artifact",
|
| 176 |
+
"path": "results/omni_finetune/XPERIENCE10M_128_RELAY_AND_FINETUNE_PLAN.md",
|
| 177 |
+
"line": 42,
|
| 178 |
+
"patterns": [
|
| 179 |
+
"ropedia-episode-task-suite"
|
| 180 |
+
],
|
| 181 |
+
"example": "export RELAY_WORKDIR=/path/to/ropedia-episode-task-suite"
|
| 182 |
+
},
|
| 183 |
+
{
|
| 184 |
+
"classification": "historical_identifier_in_readiness_artifact",
|
| 185 |
+
"path": "results/omni_finetune/XPERIENCE10M_128_RELAY_AND_FINETUNE_PLAN.md",
|
| 186 |
+
"line": 45,
|
| 187 |
+
"patterns": [
|
| 188 |
+
"ropedia-episode-task-suite"
|
| 189 |
+
],
|
| 190 |
+
"example": "export TRAINING_REPO=/path/to/ropedia-episode-task-suite"
|
| 191 |
+
},
|
| 192 |
{
|
| 193 |
"classification": "historical_identifier_in_readiness_artifact",
|
| 194 |
"path": "results/omni_finetune/config.yaml",
|
|
|
|
| 428 |
"ropedia-episode-task-suite"
|
| 429 |
],
|
| 430 |
"example": "{\"id\": \"xperience-10m-sample:qa:42\", \"episode_id\": \"xperience-10m-sample\", \"split\": \"train\", \"target\": \"episode_qa\", \"prompt_type\": \"json_episode_understanding\", \"center_window\": {\"start_frame\": 840, \"end_frame\": 859, \"num_frames\": 20}, \"media\": {\"video_paths\""
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 431 |
}
|
| 432 |
],
|
| 433 |
+
"historical_identifier_total_count": 159,
|
| 434 |
"failures": []
|
| 435 |
}
|
metrics/source_alignment_audit.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Source Alignment Note",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
|
| 6 |
"alignment_summary": {
|
| 7 |
"full_dataset_repo": "ropedia-ai/xperience-10m",
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Source Alignment Note",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-03T20:36:23+00:00",
|
| 5 |
"alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
|
| 6 |
"alignment_summary": {
|
| 7 |
"full_dataset_repo": "ropedia-ai/xperience-10m",
|
metrics/summary_metrics.json
CHANGED
|
@@ -14,7 +14,7 @@
|
|
| 14 |
"visualization.rrd"
|
| 15 |
],
|
| 16 |
"access_status": "Full-dataset access is granted; selected multi-episode relay is in progress with chunked parallel transfer and overlapping batch prefetch.",
|
| 17 |
-
"current_scope": "The selected-episode Qwen3-Omni fine-tune requires completed data staging and held-out evaluation."
|
| 18 |
},
|
| 19 |
"models": {
|
| 20 |
"motion_action": {
|
|
|
|
| 14 |
"visualization.rrd"
|
| 15 |
],
|
| 16 |
"access_status": "Full-dataset access is granted; selected multi-episode relay is in progress with chunked parallel transfer and overlapping batch prefetch.",
|
| 17 |
+
"current_scope": "The selected-episode Qwen3-Omni fine-tune requires completed data staging and held-out evaluation; the 32-episode Qwen3-Omni fine-tune requires gated data staging before any real held-out metric is reported."
|
| 18 |
},
|
| 19 |
"models": {
|
| 20 |
"motion_action": {
|
metrics/task_surface_integrity.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"summary": {
|
| 5 |
"task_count": 12,
|
| 6 |
"expected_task_count": 12,
|
|
@@ -64,21 +64,15 @@
|
|
| 64 |
"observed": "timeline_action"
|
| 65 |
},
|
| 66 |
{
|
| 67 |
-
"name": "timeline_action:
|
| 68 |
-
"status": "pass",
|
| 69 |
-
"value": "Egocentric Action Recognition",
|
| 70 |
-
"raw_hits": []
|
| 71 |
-
},
|
| 72 |
-
{
|
| 73 |
-
"name": "timeline_action: public_field_input_short_is_human_readable",
|
| 74 |
"status": "pass",
|
| 75 |
-
"value": "
|
| 76 |
"raw_hits": []
|
| 77 |
},
|
| 78 |
{
|
| 79 |
-
"name": "timeline_action:
|
| 80 |
"status": "pass",
|
| 81 |
-
"value": "
|
| 82 |
"raw_hits": []
|
| 83 |
},
|
| 84 |
{
|
|
@@ -88,15 +82,15 @@
|
|
| 88 |
"raw_hits": []
|
| 89 |
},
|
| 90 |
{
|
| 91 |
-
"name": "timeline_action:
|
| 92 |
"status": "pass",
|
| 93 |
-
"value": "
|
| 94 |
"raw_hits": []
|
| 95 |
},
|
| 96 |
{
|
| 97 |
-
"name": "timeline_action:
|
| 98 |
"status": "pass",
|
| 99 |
-
"value": "
|
| 100 |
"raw_hits": []
|
| 101 |
},
|
| 102 |
{
|
|
@@ -105,6 +99,12 @@
|
|
| 105 |
"value": "Action Recognition",
|
| 106 |
"raw_hits": []
|
| 107 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 108 |
{
|
| 109 |
"name": "timeline_action: known_task_family",
|
| 110 |
"status": "pass",
|
|
@@ -184,21 +184,15 @@
|
|
| 184 |
"observed": "timeline_subtask"
|
| 185 |
},
|
| 186 |
{
|
| 187 |
-
"name": "timeline_subtask:
|
| 188 |
-
"status": "pass",
|
| 189 |
-
"value": "Temporal Subtask Recognition",
|
| 190 |
-
"raw_hits": []
|
| 191 |
-
},
|
| 192 |
-
{
|
| 193 |
-
"name": "timeline_subtask: public_field_input_short_is_human_readable",
|
| 194 |
"status": "pass",
|
| 195 |
-
"value": "
|
| 196 |
"raw_hits": []
|
| 197 |
},
|
| 198 |
{
|
| 199 |
-
"name": "timeline_subtask:
|
| 200 |
"status": "pass",
|
| 201 |
-
"value": "
|
| 202 |
"raw_hits": []
|
| 203 |
},
|
| 204 |
{
|
|
@@ -208,15 +202,15 @@
|
|
| 208 |
"raw_hits": []
|
| 209 |
},
|
| 210 |
{
|
| 211 |
-
"name": "timeline_subtask:
|
| 212 |
"status": "pass",
|
| 213 |
-
"value": "
|
| 214 |
"raw_hits": []
|
| 215 |
},
|
| 216 |
{
|
| 217 |
-
"name": "timeline_subtask:
|
| 218 |
"status": "pass",
|
| 219 |
-
"value": "
|
| 220 |
"raw_hits": []
|
| 221 |
},
|
| 222 |
{
|
|
@@ -225,6 +219,12 @@
|
|
| 225 |
"value": "Procedure Step Recognition",
|
| 226 |
"raw_hits": []
|
| 227 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 228 |
{
|
| 229 |
"name": "timeline_subtask: known_task_family",
|
| 230 |
"status": "pass",
|
|
@@ -304,21 +304,15 @@
|
|
| 304 |
"observed": "transition_detection"
|
| 305 |
},
|
| 306 |
{
|
| 307 |
-
"name": "transition_detection:
|
| 308 |
-
"status": "pass",
|
| 309 |
-
"value": "Temporal Action Segmentation",
|
| 310 |
-
"raw_hits": []
|
| 311 |
-
},
|
| 312 |
-
{
|
| 313 |
-
"name": "transition_detection: public_field_input_short_is_human_readable",
|
| 314 |
"status": "pass",
|
| 315 |
-
"value": "
|
| 316 |
"raw_hits": []
|
| 317 |
},
|
| 318 |
{
|
| 319 |
-
"name": "transition_detection:
|
| 320 |
"status": "pass",
|
| 321 |
-
"value": "Detect
|
| 322 |
"raw_hits": []
|
| 323 |
},
|
| 324 |
{
|
|
@@ -328,15 +322,15 @@
|
|
| 328 |
"raw_hits": []
|
| 329 |
},
|
| 330 |
{
|
| 331 |
-
"name": "transition_detection:
|
| 332 |
"status": "pass",
|
| 333 |
-
"value": "
|
| 334 |
"raw_hits": []
|
| 335 |
},
|
| 336 |
{
|
| 337 |
-
"name": "transition_detection:
|
| 338 |
"status": "pass",
|
| 339 |
-
"value": "Detect
|
| 340 |
"raw_hits": []
|
| 341 |
},
|
| 342 |
{
|
|
@@ -345,6 +339,12 @@
|
|
| 345 |
"value": "Action Boundary Detection",
|
| 346 |
"raw_hits": []
|
| 347 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 348 |
{
|
| 349 |
"name": "transition_detection: known_task_family",
|
| 350 |
"status": "pass",
|
|
@@ -422,21 +422,15 @@
|
|
| 422 |
"observed": "next_action"
|
| 423 |
},
|
| 424 |
{
|
| 425 |
-
"name": "next_action:
|
| 426 |
-
"status": "pass",
|
| 427 |
-
"value": "Short-Horizon Intention Prediction",
|
| 428 |
-
"raw_hits": []
|
| 429 |
-
},
|
| 430 |
-
{
|
| 431 |
-
"name": "next_action: public_field_input_short_is_human_readable",
|
| 432 |
"status": "pass",
|
| 433 |
-
"value": "
|
| 434 |
"raw_hits": []
|
| 435 |
},
|
| 436 |
{
|
| 437 |
-
"name": "next_action:
|
| 438 |
"status": "pass",
|
| 439 |
-
"value": "
|
| 440 |
"raw_hits": []
|
| 441 |
},
|
| 442 |
{
|
|
@@ -446,15 +440,15 @@
|
|
| 446 |
"raw_hits": []
|
| 447 |
},
|
| 448 |
{
|
| 449 |
-
"name": "next_action:
|
| 450 |
"status": "pass",
|
| 451 |
-
"value": "
|
| 452 |
"raw_hits": []
|
| 453 |
},
|
| 454 |
{
|
| 455 |
-
"name": "next_action:
|
| 456 |
"status": "pass",
|
| 457 |
-
"value": "
|
| 458 |
"raw_hits": []
|
| 459 |
},
|
| 460 |
{
|
|
@@ -463,6 +457,12 @@
|
|
| 463 |
"value": "Next-Action Prediction",
|
| 464 |
"raw_hits": []
|
| 465 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 466 |
{
|
| 467 |
"name": "next_action: known_task_family",
|
| 468 |
"status": "pass",
|
|
@@ -540,21 +540,15 @@
|
|
| 540 |
"observed": "hand_trajectory_forecast"
|
| 541 |
},
|
| 542 |
{
|
| 543 |
-
"name": "hand_trajectory_forecast:
|
| 544 |
-
"status": "pass",
|
| 545 |
-
"value": "3D Hand Motion Forecasting",
|
| 546 |
-
"raw_hits": []
|
| 547 |
-
},
|
| 548 |
-
{
|
| 549 |
-
"name": "hand_trajectory_forecast: public_field_input_short_is_human_readable",
|
| 550 |
"status": "pass",
|
| 551 |
-
"value": "
|
| 552 |
"raw_hits": []
|
| 553 |
},
|
| 554 |
{
|
| 555 |
-
"name": "hand_trajectory_forecast:
|
| 556 |
"status": "pass",
|
| 557 |
-
"value": "Predict the
|
| 558 |
"raw_hits": []
|
| 559 |
},
|
| 560 |
{
|
|
@@ -564,15 +558,15 @@
|
|
| 564 |
"raw_hits": []
|
| 565 |
},
|
| 566 |
{
|
| 567 |
-
"name": "hand_trajectory_forecast:
|
| 568 |
"status": "pass",
|
| 569 |
-
"value": "
|
| 570 |
"raw_hits": []
|
| 571 |
},
|
| 572 |
{
|
| 573 |
-
"name": "hand_trajectory_forecast:
|
| 574 |
"status": "pass",
|
| 575 |
-
"value": "Predict
|
| 576 |
"raw_hits": []
|
| 577 |
},
|
| 578 |
{
|
|
@@ -581,6 +575,12 @@
|
|
| 581 |
"value": "Hand Trajectory Forecasting",
|
| 582 |
"raw_hits": []
|
| 583 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 584 |
{
|
| 585 |
"name": "hand_trajectory_forecast: known_task_family",
|
| 586 |
"status": "pass",
|
|
@@ -658,21 +658,15 @@
|
|
| 658 |
"observed": "contact_prediction"
|
| 659 |
},
|
| 660 |
{
|
| 661 |
-
"name": "contact_prediction:
|
| 662 |
-
"status": "pass",
|
| 663 |
-
"value": "Human-Object Contact Prediction",
|
| 664 |
-
"raw_hits": []
|
| 665 |
-
},
|
| 666 |
-
{
|
| 667 |
-
"name": "contact_prediction: public_field_input_short_is_human_readable",
|
| 668 |
"status": "pass",
|
| 669 |
-
"value": "
|
| 670 |
"raw_hits": []
|
| 671 |
},
|
| 672 |
{
|
| 673 |
-
"name": "contact_prediction:
|
| 674 |
"status": "pass",
|
| 675 |
-
"value": "Predict whether body or hand
|
| 676 |
"raw_hits": []
|
| 677 |
},
|
| 678 |
{
|
|
@@ -682,15 +676,15 @@
|
|
| 682 |
"raw_hits": []
|
| 683 |
},
|
| 684 |
{
|
| 685 |
-
"name": "contact_prediction:
|
| 686 |
"status": "pass",
|
| 687 |
-
"value": "
|
| 688 |
"raw_hits": []
|
| 689 |
},
|
| 690 |
{
|
| 691 |
-
"name": "contact_prediction:
|
| 692 |
"status": "pass",
|
| 693 |
-
"value": "Predict whether
|
| 694 |
"raw_hits": []
|
| 695 |
},
|
| 696 |
{
|
|
@@ -699,6 +693,12 @@
|
|
| 699 |
"value": "Contact State Prediction",
|
| 700 |
"raw_hits": []
|
| 701 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 702 |
{
|
| 703 |
"name": "contact_prediction: known_task_family",
|
| 704 |
"status": "pass",
|
|
@@ -774,21 +774,15 @@
|
|
| 774 |
"observed": "object_relevance"
|
| 775 |
},
|
| 776 |
{
|
| 777 |
-
"name": "object_relevance:
|
| 778 |
-
"status": "pass",
|
| 779 |
-
"value": "Object-Centric Interaction Recognition",
|
| 780 |
-
"raw_hits": []
|
| 781 |
-
},
|
| 782 |
-
{
|
| 783 |
-
"name": "object_relevance: public_field_input_short_is_human_readable",
|
| 784 |
"status": "pass",
|
| 785 |
-
"value": "
|
| 786 |
"raw_hits": []
|
| 787 |
},
|
| 788 |
{
|
| 789 |
-
"name": "object_relevance:
|
| 790 |
"status": "pass",
|
| 791 |
-
"value": "
|
| 792 |
"raw_hits": []
|
| 793 |
},
|
| 794 |
{
|
|
@@ -798,15 +792,15 @@
|
|
| 798 |
"raw_hits": []
|
| 799 |
},
|
| 800 |
{
|
| 801 |
-
"name": "object_relevance:
|
| 802 |
"status": "pass",
|
| 803 |
-
"value": "
|
| 804 |
"raw_hits": []
|
| 805 |
},
|
| 806 |
{
|
| 807 |
-
"name": "object_relevance:
|
| 808 |
"status": "pass",
|
| 809 |
-
"value": "
|
| 810 |
"raw_hits": []
|
| 811 |
},
|
| 812 |
{
|
|
@@ -815,6 +809,12 @@
|
|
| 815 |
"value": "Object Relevance Prediction",
|
| 816 |
"raw_hits": []
|
| 817 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 818 |
{
|
| 819 |
"name": "object_relevance: known_task_family",
|
| 820 |
"status": "pass",
|
|
@@ -892,21 +892,15 @@
|
|
| 892 |
"observed": "caption_grounding"
|
| 893 |
},
|
| 894 |
{
|
| 895 |
-
"name": "caption_grounding:
|
| 896 |
-
"status": "pass",
|
| 897 |
-
"value": "Language-to-Moment Grounding",
|
| 898 |
-
"raw_hits": []
|
| 899 |
-
},
|
| 900 |
-
{
|
| 901 |
-
"name": "caption_grounding: public_field_input_short_is_human_readable",
|
| 902 |
"status": "pass",
|
| 903 |
-
"value": "
|
| 904 |
"raw_hits": []
|
| 905 |
},
|
| 906 |
{
|
| 907 |
-
"name": "caption_grounding:
|
| 908 |
"status": "pass",
|
| 909 |
-
"value": "
|
| 910 |
"raw_hits": []
|
| 911 |
},
|
| 912 |
{
|
|
@@ -916,15 +910,15 @@
|
|
| 916 |
"raw_hits": []
|
| 917 |
},
|
| 918 |
{
|
| 919 |
-
"name": "caption_grounding:
|
| 920 |
"status": "pass",
|
| 921 |
-
"value": "
|
| 922 |
"raw_hits": []
|
| 923 |
},
|
| 924 |
{
|
| 925 |
-
"name": "caption_grounding:
|
| 926 |
"status": "pass",
|
| 927 |
-
"value": "
|
| 928 |
"raw_hits": []
|
| 929 |
},
|
| 930 |
{
|
|
@@ -933,6 +927,12 @@
|
|
| 933 |
"value": "Language Grounding",
|
| 934 |
"raw_hits": []
|
| 935 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 936 |
{
|
| 937 |
"name": "caption_grounding: known_task_family",
|
| 938 |
"status": "pass",
|
|
@@ -1008,21 +1008,15 @@
|
|
| 1008 |
"observed": "cross_modal_retrieval"
|
| 1009 |
},
|
| 1010 |
{
|
| 1011 |
-
"name": "cross_modal_retrieval:
|
| 1012 |
-
"status": "pass",
|
| 1013 |
-
"value": "Multimodal Representation Retrieval",
|
| 1014 |
-
"raw_hits": []
|
| 1015 |
-
},
|
| 1016 |
-
{
|
| 1017 |
-
"name": "cross_modal_retrieval: public_field_input_short_is_human_readable",
|
| 1018 |
"status": "pass",
|
| 1019 |
-
"value": "
|
| 1020 |
"raw_hits": []
|
| 1021 |
},
|
| 1022 |
{
|
| 1023 |
-
"name": "cross_modal_retrieval:
|
| 1024 |
"status": "pass",
|
| 1025 |
-
"value": "Use
|
| 1026 |
"raw_hits": []
|
| 1027 |
},
|
| 1028 |
{
|
|
@@ -1032,15 +1026,15 @@
|
|
| 1032 |
"raw_hits": []
|
| 1033 |
},
|
| 1034 |
{
|
| 1035 |
-
"name": "cross_modal_retrieval:
|
| 1036 |
"status": "pass",
|
| 1037 |
-
"value": "
|
| 1038 |
"raw_hits": []
|
| 1039 |
},
|
| 1040 |
{
|
| 1041 |
-
"name": "cross_modal_retrieval:
|
| 1042 |
"status": "pass",
|
| 1043 |
-
"value": "Use
|
| 1044 |
"raw_hits": []
|
| 1045 |
},
|
| 1046 |
{
|
|
@@ -1049,6 +1043,12 @@
|
|
| 1049 |
"value": "Cross-Modal Retrieval",
|
| 1050 |
"raw_hits": []
|
| 1051 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1052 |
{
|
| 1053 |
"name": "cross_modal_retrieval: known_task_family",
|
| 1054 |
"status": "pass",
|
|
@@ -1126,21 +1126,15 @@
|
|
| 1126 |
"observed": "modality_reconstruction"
|
| 1127 |
},
|
| 1128 |
{
|
| 1129 |
-
"name": "modality_reconstruction:
|
| 1130 |
-
"status": "pass",
|
| 1131 |
-
"value": "Modality Feature Reconstruction",
|
| 1132 |
-
"raw_hits": []
|
| 1133 |
-
},
|
| 1134 |
-
{
|
| 1135 |
-
"name": "modality_reconstruction: public_field_input_short_is_human_readable",
|
| 1136 |
"status": "pass",
|
| 1137 |
-
"value": "
|
| 1138 |
"raw_hits": []
|
| 1139 |
},
|
| 1140 |
{
|
| 1141 |
-
"name": "modality_reconstruction:
|
| 1142 |
"status": "pass",
|
| 1143 |
-
"value": "Predict
|
| 1144 |
"raw_hits": []
|
| 1145 |
},
|
| 1146 |
{
|
|
@@ -1150,15 +1144,15 @@
|
|
| 1150 |
"raw_hits": []
|
| 1151 |
},
|
| 1152 |
{
|
| 1153 |
-
"name": "modality_reconstruction:
|
| 1154 |
"status": "pass",
|
| 1155 |
-
"value": "
|
| 1156 |
"raw_hits": []
|
| 1157 |
},
|
| 1158 |
{
|
| 1159 |
-
"name": "modality_reconstruction:
|
| 1160 |
"status": "pass",
|
| 1161 |
-
"value": "Predict
|
| 1162 |
"raw_hits": []
|
| 1163 |
},
|
| 1164 |
{
|
|
@@ -1167,6 +1161,12 @@
|
|
| 1167 |
"value": "Cross-Modal Reconstruction",
|
| 1168 |
"raw_hits": []
|
| 1169 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1170 |
{
|
| 1171 |
"name": "modality_reconstruction: known_task_family",
|
| 1172 |
"status": "pass",
|
|
@@ -1244,21 +1244,15 @@
|
|
| 1244 |
"observed": "temporal_order"
|
| 1245 |
},
|
| 1246 |
{
|
| 1247 |
-
"name": "temporal_order:
|
| 1248 |
-
"status": "pass",
|
| 1249 |
-
"value": "Temporal Order Verification",
|
| 1250 |
-
"raw_hits": []
|
| 1251 |
-
},
|
| 1252 |
-
{
|
| 1253 |
-
"name": "temporal_order: public_field_input_short_is_human_readable",
|
| 1254 |
"status": "pass",
|
| 1255 |
-
"value": "
|
| 1256 |
"raw_hits": []
|
| 1257 |
},
|
| 1258 |
{
|
| 1259 |
-
"name": "temporal_order:
|
| 1260 |
"status": "pass",
|
| 1261 |
-
"value": "Tell whether two
|
| 1262 |
"raw_hits": []
|
| 1263 |
},
|
| 1264 |
{
|
|
@@ -1268,15 +1262,15 @@
|
|
| 1268 |
"raw_hits": []
|
| 1269 |
},
|
| 1270 |
{
|
| 1271 |
-
"name": "temporal_order:
|
| 1272 |
"status": "pass",
|
| 1273 |
-
"value": "
|
| 1274 |
"raw_hits": []
|
| 1275 |
},
|
| 1276 |
{
|
| 1277 |
-
"name": "temporal_order:
|
| 1278 |
"status": "pass",
|
| 1279 |
-
"value": "Tell whether two
|
| 1280 |
"raw_hits": []
|
| 1281 |
},
|
| 1282 |
{
|
|
@@ -1285,6 +1279,12 @@
|
|
| 1285 |
"value": "Temporal Order Verification",
|
| 1286 |
"raw_hits": []
|
| 1287 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1288 |
{
|
| 1289 |
"name": "temporal_order: known_task_family",
|
| 1290 |
"status": "pass",
|
|
@@ -1360,21 +1360,15 @@
|
|
| 1360 |
"observed": "misalignment_detection"
|
| 1361 |
},
|
| 1362 |
{
|
| 1363 |
-
"name": "misalignment_detection:
|
| 1364 |
-
"status": "pass",
|
| 1365 |
-
"value": "Cross-Modal Misalignment Detection",
|
| 1366 |
-
"raw_hits": []
|
| 1367 |
-
},
|
| 1368 |
-
{
|
| 1369 |
-
"name": "misalignment_detection: public_field_input_short_is_human_readable",
|
| 1370 |
"status": "pass",
|
| 1371 |
-
"value": "
|
| 1372 |
"raw_hits": []
|
| 1373 |
},
|
| 1374 |
{
|
| 1375 |
-
"name": "misalignment_detection:
|
| 1376 |
"status": "pass",
|
| 1377 |
-
"value": "Detect
|
| 1378 |
"raw_hits": []
|
| 1379 |
},
|
| 1380 |
{
|
|
@@ -1384,15 +1378,15 @@
|
|
| 1384 |
"raw_hits": []
|
| 1385 |
},
|
| 1386 |
{
|
| 1387 |
-
"name": "misalignment_detection:
|
| 1388 |
"status": "pass",
|
| 1389 |
-
"value": "
|
| 1390 |
"raw_hits": []
|
| 1391 |
},
|
| 1392 |
{
|
| 1393 |
-
"name": "misalignment_detection:
|
| 1394 |
"status": "pass",
|
| 1395 |
-
"value": "Detect
|
| 1396 |
"raw_hits": []
|
| 1397 |
},
|
| 1398 |
{
|
|
@@ -1401,6 +1395,12 @@
|
|
| 1401 |
"value": "Multimodal Synchronization Detection",
|
| 1402 |
"raw_hits": []
|
| 1403 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1404 |
{
|
| 1405 |
"name": "misalignment_detection: known_task_family",
|
| 1406 |
"status": "pass",
|
|
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
+
"generated_at_utc": "2026-06-03T20:36:23+00:00",
|
| 4 |
"summary": {
|
| 5 |
"task_count": 12,
|
| 6 |
"expected_task_count": 12,
|
|
|
|
| 64 |
"observed": "timeline_action"
|
| 65 |
},
|
| 66 |
{
|
| 67 |
+
"name": "timeline_action: public_field_output_short_is_human_readable",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 68 |
"status": "pass",
|
| 69 |
+
"value": "current action class",
|
| 70 |
"raw_hits": []
|
| 71 |
},
|
| 72 |
{
|
| 73 |
+
"name": "timeline_action: public_field_plain_goal_is_human_readable",
|
| 74 |
"status": "pass",
|
| 75 |
+
"value": "Look at one short multimodal window and name what action is happening now.",
|
| 76 |
"raw_hits": []
|
| 77 |
},
|
| 78 |
{
|
|
|
|
| 82 |
"raw_hits": []
|
| 83 |
},
|
| 84 |
{
|
| 85 |
+
"name": "timeline_action: public_field_research_name_is_human_readable",
|
| 86 |
"status": "pass",
|
| 87 |
+
"value": "Egocentric Action Recognition",
|
| 88 |
"raw_hits": []
|
| 89 |
},
|
| 90 |
{
|
| 91 |
+
"name": "timeline_action: public_field_card_blurb_is_human_readable",
|
| 92 |
"status": "pass",
|
| 93 |
+
"value": "Recognize the current manipulation action from synchronized visual, motion, inertial, pose, and annotation context.",
|
| 94 |
"raw_hits": []
|
| 95 |
},
|
| 96 |
{
|
|
|
|
| 99 |
"value": "Action Recognition",
|
| 100 |
"raw_hits": []
|
| 101 |
},
|
| 102 |
+
{
|
| 103 |
+
"name": "timeline_action: public_field_input_short_is_human_readable",
|
| 104 |
+
"status": "pass",
|
| 105 |
+
"value": "20-frame multimodal window",
|
| 106 |
+
"raw_hits": []
|
| 107 |
+
},
|
| 108 |
{
|
| 109 |
"name": "timeline_action: known_task_family",
|
| 110 |
"status": "pass",
|
|
|
|
| 184 |
"observed": "timeline_subtask"
|
| 185 |
},
|
| 186 |
{
|
| 187 |
+
"name": "timeline_subtask: public_field_output_short_is_human_readable",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 188 |
"status": "pass",
|
| 189 |
+
"value": "current procedure step",
|
| 190 |
"raw_hits": []
|
| 191 |
},
|
| 192 |
{
|
| 193 |
+
"name": "timeline_subtask: public_field_plain_goal_is_human_readable",
|
| 194 |
"status": "pass",
|
| 195 |
+
"value": "Predict the higher-level task stage for the current window.",
|
| 196 |
"raw_hits": []
|
| 197 |
},
|
| 198 |
{
|
|
|
|
| 202 |
"raw_hits": []
|
| 203 |
},
|
| 204 |
{
|
| 205 |
+
"name": "timeline_subtask: public_field_research_name_is_human_readable",
|
| 206 |
"status": "pass",
|
| 207 |
+
"value": "Temporal Subtask Recognition",
|
| 208 |
"raw_hits": []
|
| 209 |
},
|
| 210 |
{
|
| 211 |
+
"name": "timeline_subtask: public_field_card_blurb_is_human_readable",
|
| 212 |
"status": "pass",
|
| 213 |
+
"value": "Recognize the broader activity stage so fine actions become a readable procedure timeline.",
|
| 214 |
"raw_hits": []
|
| 215 |
},
|
| 216 |
{
|
|
|
|
| 219 |
"value": "Procedure Step Recognition",
|
| 220 |
"raw_hits": []
|
| 221 |
},
|
| 222 |
+
{
|
| 223 |
+
"name": "timeline_subtask: public_field_input_short_is_human_readable",
|
| 224 |
+
"status": "pass",
|
| 225 |
+
"value": "20-frame multimodal window",
|
| 226 |
+
"raw_hits": []
|
| 227 |
+
},
|
| 228 |
{
|
| 229 |
"name": "timeline_subtask: known_task_family",
|
| 230 |
"status": "pass",
|
|
|
|
| 304 |
"observed": "transition_detection"
|
| 305 |
},
|
| 306 |
{
|
| 307 |
+
"name": "transition_detection: public_field_output_short_is_human_readable",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 308 |
"status": "pass",
|
| 309 |
+
"value": "boundary or steady",
|
| 310 |
"raw_hits": []
|
| 311 |
},
|
| 312 |
{
|
| 313 |
+
"name": "transition_detection: public_field_plain_goal_is_human_readable",
|
| 314 |
"status": "pass",
|
| 315 |
+
"value": "Detect whether the current window is near a boundary between actions.",
|
| 316 |
"raw_hits": []
|
| 317 |
},
|
| 318 |
{
|
|
|
|
| 322 |
"raw_hits": []
|
| 323 |
},
|
| 324 |
{
|
| 325 |
+
"name": "transition_detection: public_field_research_name_is_human_readable",
|
| 326 |
"status": "pass",
|
| 327 |
+
"value": "Temporal Action Segmentation",
|
| 328 |
"raw_hits": []
|
| 329 |
},
|
| 330 |
{
|
| 331 |
+
"name": "transition_detection: public_field_card_blurb_is_human_readable",
|
| 332 |
"status": "pass",
|
| 333 |
+
"value": "Detect the local moment where the episode changes from one action segment to the next.",
|
| 334 |
"raw_hits": []
|
| 335 |
},
|
| 336 |
{
|
|
|
|
| 339 |
"value": "Action Boundary Detection",
|
| 340 |
"raw_hits": []
|
| 341 |
},
|
| 342 |
+
{
|
| 343 |
+
"name": "transition_detection: public_field_input_short_is_human_readable",
|
| 344 |
+
"status": "pass",
|
| 345 |
+
"value": "current window with boundary target",
|
| 346 |
+
"raw_hits": []
|
| 347 |
+
},
|
| 348 |
{
|
| 349 |
"name": "transition_detection: known_task_family",
|
| 350 |
"status": "pass",
|
|
|
|
| 422 |
"observed": "next_action"
|
| 423 |
},
|
| 424 |
{
|
| 425 |
+
"name": "next_action: public_field_output_short_is_human_readable",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 426 |
"status": "pass",
|
| 427 |
+
"value": "action at t+20 frames",
|
| 428 |
"raw_hits": []
|
| 429 |
},
|
| 430 |
{
|
| 431 |
+
"name": "next_action: public_field_plain_goal_is_human_readable",
|
| 432 |
"status": "pass",
|
| 433 |
+
"value": "Use the current window to guess the action that will happen shortly after it.",
|
| 434 |
"raw_hits": []
|
| 435 |
},
|
| 436 |
{
|
|
|
|
| 440 |
"raw_hits": []
|
| 441 |
},
|
| 442 |
{
|
| 443 |
+
"name": "next_action: public_field_research_name_is_human_readable",
|
| 444 |
"status": "pass",
|
| 445 |
+
"value": "Short-Horizon Intention Prediction",
|
| 446 |
"raw_hits": []
|
| 447 |
},
|
| 448 |
{
|
| 449 |
+
"name": "next_action: public_field_card_blurb_is_human_readable",
|
| 450 |
"status": "pass",
|
| 451 |
+
"value": "Forecast the near-future action from the current observations only.",
|
| 452 |
"raw_hits": []
|
| 453 |
},
|
| 454 |
{
|
|
|
|
| 457 |
"value": "Next-Action Prediction",
|
| 458 |
"raw_hits": []
|
| 459 |
},
|
| 460 |
+
{
|
| 461 |
+
"name": "next_action: public_field_input_short_is_human_readable",
|
| 462 |
+
"status": "pass",
|
| 463 |
+
"value": "current window at time t",
|
| 464 |
+
"raw_hits": []
|
| 465 |
+
},
|
| 466 |
{
|
| 467 |
"name": "next_action: known_task_family",
|
| 468 |
"status": "pass",
|
|
|
|
| 540 |
"observed": "hand_trajectory_forecast"
|
| 541 |
},
|
| 542 |
{
|
| 543 |
+
"name": "hand_trajectory_forecast: public_field_output_short_is_human_readable",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 544 |
"status": "pass",
|
| 545 |
+
"value": "future hand-joint trajectory",
|
| 546 |
"raw_hits": []
|
| 547 |
},
|
| 548 |
{
|
| 549 |
+
"name": "hand_trajectory_forecast: public_field_plain_goal_is_human_readable",
|
| 550 |
"status": "pass",
|
| 551 |
+
"value": "Predict where the hands will move over the next few frames.",
|
| 552 |
"raw_hits": []
|
| 553 |
},
|
| 554 |
{
|
|
|
|
| 558 |
"raw_hits": []
|
| 559 |
},
|
| 560 |
{
|
| 561 |
+
"name": "hand_trajectory_forecast: public_field_research_name_is_human_readable",
|
| 562 |
"status": "pass",
|
| 563 |
+
"value": "3D Hand Motion Forecasting",
|
| 564 |
"raw_hits": []
|
| 565 |
},
|
| 566 |
{
|
| 567 |
+
"name": "hand_trajectory_forecast: public_field_card_blurb_is_human_readable",
|
| 568 |
"status": "pass",
|
| 569 |
+
"value": "Predict the future 3D left/right hand path from the current multimodal state.",
|
| 570 |
"raw_hits": []
|
| 571 |
},
|
| 572 |
{
|
|
|
|
| 575 |
"value": "Hand Trajectory Forecasting",
|
| 576 |
"raw_hits": []
|
| 577 |
},
|
| 578 |
+
{
|
| 579 |
+
"name": "hand_trajectory_forecast: public_field_input_short_is_human_readable",
|
| 580 |
+
"status": "pass",
|
| 581 |
+
"value": "current multimodal window",
|
| 582 |
+
"raw_hits": []
|
| 583 |
+
},
|
| 584 |
{
|
| 585 |
"name": "hand_trajectory_forecast: known_task_family",
|
| 586 |
"status": "pass",
|
|
|
|
| 658 |
"observed": "contact_prediction"
|
| 659 |
},
|
| 660 |
{
|
| 661 |
+
"name": "contact_prediction: public_field_output_short_is_human_readable",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 662 |
"status": "pass",
|
| 663 |
+
"value": "contact or no contact",
|
| 664 |
"raw_hits": []
|
| 665 |
},
|
| 666 |
{
|
| 667 |
+
"name": "contact_prediction: public_field_plain_goal_is_human_readable",
|
| 668 |
"status": "pass",
|
| 669 |
+
"value": "Predict whether the body or hand is in contact with something.",
|
| 670 |
"raw_hits": []
|
| 671 |
},
|
| 672 |
{
|
|
|
|
| 676 |
"raw_hits": []
|
| 677 |
},
|
| 678 |
{
|
| 679 |
+
"name": "contact_prediction: public_field_research_name_is_human_readable",
|
| 680 |
"status": "pass",
|
| 681 |
+
"value": "Human-Object Contact Prediction",
|
| 682 |
"raw_hits": []
|
| 683 |
},
|
| 684 |
{
|
| 685 |
+
"name": "contact_prediction: public_field_card_blurb_is_human_readable",
|
| 686 |
"status": "pass",
|
| 687 |
+
"value": "Predict whether body or hand contact with the scene is occurring without leaking contact labels.",
|
| 688 |
"raw_hits": []
|
| 689 |
},
|
| 690 |
{
|
|
|
|
| 693 |
"value": "Contact State Prediction",
|
| 694 |
"raw_hits": []
|
| 695 |
},
|
| 696 |
+
{
|
| 697 |
+
"name": "contact_prediction: public_field_input_short_is_human_readable",
|
| 698 |
+
"status": "pass",
|
| 699 |
+
"value": "non-contact, non-caption features",
|
| 700 |
+
"raw_hits": []
|
| 701 |
+
},
|
| 702 |
{
|
| 703 |
"name": "contact_prediction: known_task_family",
|
| 704 |
"status": "pass",
|
|
|
|
| 774 |
"observed": "object_relevance"
|
| 775 |
},
|
| 776 |
{
|
| 777 |
+
"name": "object_relevance: public_field_output_short_is_human_readable",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 778 |
"status": "pass",
|
| 779 |
+
"value": "relevant object set",
|
| 780 |
"raw_hits": []
|
| 781 |
},
|
| 782 |
{
|
| 783 |
+
"name": "object_relevance: public_field_plain_goal_is_human_readable",
|
| 784 |
"status": "pass",
|
| 785 |
+
"value": "Predict which objects matter in the current window.",
|
| 786 |
"raw_hits": []
|
| 787 |
},
|
| 788 |
{
|
|
|
|
| 792 |
"raw_hits": []
|
| 793 |
},
|
| 794 |
{
|
| 795 |
+
"name": "object_relevance: public_field_research_name_is_human_readable",
|
| 796 |
"status": "pass",
|
| 797 |
+
"value": "Object-Centric Interaction Recognition",
|
| 798 |
"raw_hits": []
|
| 799 |
},
|
| 800 |
{
|
| 801 |
+
"name": "object_relevance: public_field_card_blurb_is_human_readable",
|
| 802 |
"status": "pass",
|
| 803 |
+
"value": "Infer which objects are relevant to the current manipulation window from non-caption features.",
|
| 804 |
"raw_hits": []
|
| 805 |
},
|
| 806 |
{
|
|
|
|
| 809 |
"value": "Object Relevance Prediction",
|
| 810 |
"raw_hits": []
|
| 811 |
},
|
| 812 |
+
{
|
| 813 |
+
"name": "object_relevance: public_field_input_short_is_human_readable",
|
| 814 |
+
"status": "pass",
|
| 815 |
+
"value": "non-caption multimodal features",
|
| 816 |
+
"raw_hits": []
|
| 817 |
+
},
|
| 818 |
{
|
| 819 |
"name": "object_relevance: known_task_family",
|
| 820 |
"status": "pass",
|
|
|
|
| 892 |
"observed": "caption_grounding"
|
| 893 |
},
|
| 894 |
{
|
| 895 |
+
"name": "caption_grounding: public_field_output_short_is_human_readable",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 896 |
"status": "pass",
|
| 897 |
+
"value": "ranked matching moments",
|
| 898 |
"raw_hits": []
|
| 899 |
},
|
| 900 |
{
|
| 901 |
+
"name": "caption_grounding: public_field_plain_goal_is_human_readable",
|
| 902 |
"status": "pass",
|
| 903 |
+
"value": "Given a text-like query from annotation, find the matching time window.",
|
| 904 |
"raw_hits": []
|
| 905 |
},
|
| 906 |
{
|
|
|
|
| 910 |
"raw_hits": []
|
| 911 |
},
|
| 912 |
{
|
| 913 |
+
"name": "caption_grounding: public_field_research_name_is_human_readable",
|
| 914 |
"status": "pass",
|
| 915 |
+
"value": "Language-to-Moment Grounding",
|
| 916 |
"raw_hits": []
|
| 917 |
},
|
| 918 |
{
|
| 919 |
+
"name": "caption_grounding: public_field_card_blurb_is_human_readable",
|
| 920 |
"status": "pass",
|
| 921 |
+
"value": "Retrieve the matching time window for an annotation-derived text query.",
|
| 922 |
"raw_hits": []
|
| 923 |
},
|
| 924 |
{
|
|
|
|
| 927 |
"value": "Language Grounding",
|
| 928 |
"raw_hits": []
|
| 929 |
},
|
| 930 |
+
{
|
| 931 |
+
"name": "caption_grounding: public_field_input_short_is_human_readable",
|
| 932 |
+
"status": "pass",
|
| 933 |
+
"value": "text-like query and candidate windows",
|
| 934 |
+
"raw_hits": []
|
| 935 |
+
},
|
| 936 |
{
|
| 937 |
"name": "caption_grounding: known_task_family",
|
| 938 |
"status": "pass",
|
|
|
|
| 1008 |
"observed": "cross_modal_retrieval"
|
| 1009 |
},
|
| 1010 |
{
|
| 1011 |
+
"name": "cross_modal_retrieval: public_field_output_short_is_human_readable",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1012 |
"status": "pass",
|
| 1013 |
+
"value": "ranked visual windows",
|
| 1014 |
"raw_hits": []
|
| 1015 |
},
|
| 1016 |
{
|
| 1017 |
+
"name": "cross_modal_retrieval: public_field_plain_goal_is_human_readable",
|
| 1018 |
"status": "pass",
|
| 1019 |
+
"value": "Use one group of modalities to retrieve the matching window from another group.",
|
| 1020 |
"raw_hits": []
|
| 1021 |
},
|
| 1022 |
{
|
|
|
|
| 1026 |
"raw_hits": []
|
| 1027 |
},
|
| 1028 |
{
|
| 1029 |
+
"name": "cross_modal_retrieval: public_field_research_name_is_human_readable",
|
| 1030 |
"status": "pass",
|
| 1031 |
+
"value": "Multimodal Representation Retrieval",
|
| 1032 |
"raw_hits": []
|
| 1033 |
},
|
| 1034 |
{
|
| 1035 |
+
"name": "cross_modal_retrieval: public_field_card_blurb_is_human_readable",
|
| 1036 |
"status": "pass",
|
| 1037 |
+
"value": "Use motion, IMU, and camera-pose signals to retrieve the matching depth/video window.",
|
| 1038 |
"raw_hits": []
|
| 1039 |
},
|
| 1040 |
{
|
|
|
|
| 1043 |
"value": "Cross-Modal Retrieval",
|
| 1044 |
"raw_hits": []
|
| 1045 |
},
|
| 1046 |
+
{
|
| 1047 |
+
"name": "cross_modal_retrieval: public_field_input_short_is_human_readable",
|
| 1048 |
+
"status": "pass",
|
| 1049 |
+
"value": "motion/IMU/pose query; depth/video candidates",
|
| 1050 |
+
"raw_hits": []
|
| 1051 |
+
},
|
| 1052 |
{
|
| 1053 |
"name": "cross_modal_retrieval: known_task_family",
|
| 1054 |
"status": "pass",
|
|
|
|
| 1126 |
"observed": "modality_reconstruction"
|
| 1127 |
},
|
| 1128 |
{
|
| 1129 |
+
"name": "modality_reconstruction: public_field_output_short_is_human_readable",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1130 |
"status": "pass",
|
| 1131 |
+
"value": "reconstructed depth/video vector",
|
| 1132 |
"raw_hits": []
|
| 1133 |
},
|
| 1134 |
{
|
| 1135 |
+
"name": "modality_reconstruction: public_field_plain_goal_is_human_readable",
|
| 1136 |
"status": "pass",
|
| 1137 |
+
"value": "Predict one modality feature block from other modality blocks.",
|
| 1138 |
"raw_hits": []
|
| 1139 |
},
|
| 1140 |
{
|
|
|
|
| 1144 |
"raw_hits": []
|
| 1145 |
},
|
| 1146 |
{
|
| 1147 |
+
"name": "modality_reconstruction: public_field_research_name_is_human_readable",
|
| 1148 |
"status": "pass",
|
| 1149 |
+
"value": "Modality Feature Reconstruction",
|
| 1150 |
"raw_hits": []
|
| 1151 |
},
|
| 1152 |
{
|
| 1153 |
+
"name": "modality_reconstruction: public_field_card_blurb_is_human_readable",
|
| 1154 |
"status": "pass",
|
| 1155 |
+
"value": "Predict compressed depth/video feature vectors from motion, IMU, and camera-pose features.",
|
| 1156 |
"raw_hits": []
|
| 1157 |
},
|
| 1158 |
{
|
|
|
|
| 1161 |
"value": "Cross-Modal Reconstruction",
|
| 1162 |
"raw_hits": []
|
| 1163 |
},
|
| 1164 |
+
{
|
| 1165 |
+
"name": "modality_reconstruction: public_field_input_short_is_human_readable",
|
| 1166 |
+
"status": "pass",
|
| 1167 |
+
"value": "motion, IMU, and camera/pose features",
|
| 1168 |
+
"raw_hits": []
|
| 1169 |
+
},
|
| 1170 |
{
|
| 1171 |
"name": "modality_reconstruction: known_task_family",
|
| 1172 |
"status": "pass",
|
|
|
|
| 1244 |
"observed": "temporal_order"
|
| 1245 |
},
|
| 1246 |
{
|
| 1247 |
+
"name": "temporal_order: public_field_output_short_is_human_readable",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1248 |
"status": "pass",
|
| 1249 |
+
"value": "correct or reversed",
|
| 1250 |
"raw_hits": []
|
| 1251 |
},
|
| 1252 |
{
|
| 1253 |
+
"name": "temporal_order: public_field_plain_goal_is_human_readable",
|
| 1254 |
"status": "pass",
|
| 1255 |
+
"value": "Tell whether two nearby windows are in the correct time order.",
|
| 1256 |
"raw_hits": []
|
| 1257 |
},
|
| 1258 |
{
|
|
|
|
| 1262 |
"raw_hits": []
|
| 1263 |
},
|
| 1264 |
{
|
| 1265 |
+
"name": "temporal_order: public_field_research_name_is_human_readable",
|
| 1266 |
"status": "pass",
|
| 1267 |
+
"value": "Temporal Order Verification",
|
| 1268 |
"raw_hits": []
|
| 1269 |
},
|
| 1270 |
{
|
| 1271 |
+
"name": "temporal_order: public_field_card_blurb_is_human_readable",
|
| 1272 |
"status": "pass",
|
| 1273 |
+
"value": "Tell whether two neighboring windows are in chronological order or reversed.",
|
| 1274 |
"raw_hits": []
|
| 1275 |
},
|
| 1276 |
{
|
|
|
|
| 1279 |
"value": "Temporal Order Verification",
|
| 1280 |
"raw_hits": []
|
| 1281 |
},
|
| 1282 |
+
{
|
| 1283 |
+
"name": "temporal_order: public_field_input_short_is_human_readable",
|
| 1284 |
+
"status": "pass",
|
| 1285 |
+
"value": "two adjacent windows plus difference vector",
|
| 1286 |
+
"raw_hits": []
|
| 1287 |
+
},
|
| 1288 |
{
|
| 1289 |
"name": "temporal_order: known_task_family",
|
| 1290 |
"status": "pass",
|
|
|
|
| 1360 |
"observed": "misalignment_detection"
|
| 1361 |
},
|
| 1362 |
{
|
| 1363 |
+
"name": "misalignment_detection: public_field_output_short_is_human_readable",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1364 |
"status": "pass",
|
| 1365 |
+
"value": "aligned or shifted",
|
| 1366 |
"raw_hits": []
|
| 1367 |
},
|
| 1368 |
{
|
| 1369 |
+
"name": "misalignment_detection: public_field_plain_goal_is_human_readable",
|
| 1370 |
"status": "pass",
|
| 1371 |
+
"value": "Detect when modalities that should match are shifted out of sync.",
|
| 1372 |
"raw_hits": []
|
| 1373 |
},
|
| 1374 |
{
|
|
|
|
| 1378 |
"raw_hits": []
|
| 1379 |
},
|
| 1380 |
{
|
| 1381 |
+
"name": "misalignment_detection: public_field_research_name_is_human_readable",
|
| 1382 |
"status": "pass",
|
| 1383 |
+
"value": "Cross-Modal Misalignment Detection",
|
| 1384 |
"raw_hits": []
|
| 1385 |
},
|
| 1386 |
{
|
| 1387 |
+
"name": "misalignment_detection: public_field_card_blurb_is_human_readable",
|
| 1388 |
"status": "pass",
|
| 1389 |
+
"value": "Detect whether motion and visual/depth streams have been artificially shifted out of sync.",
|
| 1390 |
"raw_hits": []
|
| 1391 |
},
|
| 1392 |
{
|
|
|
|
| 1395 |
"value": "Multimodal Synchronization Detection",
|
| 1396 |
"raw_hits": []
|
| 1397 |
},
|
| 1398 |
+
{
|
| 1399 |
+
"name": "misalignment_detection: public_field_input_short_is_human_readable",
|
| 1400 |
+
"status": "pass",
|
| 1401 |
+
"value": "motion-side and visual/depth-side feature groups",
|
| 1402 |
+
"raw_hits": []
|
| 1403 |
+
},
|
| 1404 |
{
|
| 1405 |
"name": "misalignment_detection: known_task_family",
|
| 1406 |
"status": "pass",
|
metrics/website_integrity.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"docs_root": "docs",
|
| 5 |
"site_base": "/ropedia-xperience-10m-task-suite/",
|
| 6 |
"summary": {
|
|
@@ -75,7 +75,7 @@
|
|
| 75 |
"status": "pass",
|
| 76 |
"reason": "The project overview should appear before the deeper progress ledger.",
|
| 77 |
"overview_index": 66059,
|
| 78 |
-
"evidence_index":
|
| 79 |
},
|
| 80 |
{
|
| 81 |
"name": "project_status_links_json",
|
|
@@ -150,8 +150,8 @@
|
|
| 150 |
"status": "pass",
|
| 151 |
"reason": "The evaluation protocol should appear before the deeper evidence ledger.",
|
| 152 |
"overview_index": 66059,
|
| 153 |
-
"protocol_index":
|
| 154 |
-
"evidence_index":
|
| 155 |
},
|
| 156 |
{
|
| 157 |
"name": "evaluation_protocol_links_json",
|
|
@@ -259,7 +259,7 @@
|
|
| 259 |
},
|
| 260 |
{
|
| 261 |
"path": "data/evaluation_protocol.json",
|
| 262 |
-
"bytes":
|
| 263 |
"top_level_type": "dict"
|
| 264 |
},
|
| 265 |
{
|
|
@@ -284,7 +284,7 @@
|
|
| 284 |
},
|
| 285 |
{
|
| 286 |
"path": "data/mirror_parity.json",
|
| 287 |
-
"bytes":
|
| 288 |
"top_level_type": "dict"
|
| 289 |
},
|
| 290 |
{
|
|
@@ -294,7 +294,7 @@
|
|
| 294 |
},
|
| 295 |
{
|
| 296 |
"path": "data/project_brief.json",
|
| 297 |
-
"bytes":
|
| 298 |
"top_level_type": "dict"
|
| 299 |
},
|
| 300 |
{
|
|
@@ -304,12 +304,12 @@
|
|
| 304 |
},
|
| 305 |
{
|
| 306 |
"path": "data/project_packet.json",
|
| 307 |
-
"bytes":
|
| 308 |
"top_level_type": "dict"
|
| 309 |
},
|
| 310 |
{
|
| 311 |
"path": "data/project_status.json",
|
| 312 |
-
"bytes":
|
| 313 |
"top_level_type": "dict"
|
| 314 |
},
|
| 315 |
{
|
|
@@ -374,12 +374,12 @@
|
|
| 374 |
},
|
| 375 |
{
|
| 376 |
"path": "data/source_alignment_audit.json",
|
| 377 |
-
"bytes":
|
| 378 |
"top_level_type": "dict"
|
| 379 |
},
|
| 380 |
{
|
| 381 |
"path": "data/summary_metrics.json",
|
| 382 |
-
"bytes":
|
| 383 |
"top_level_type": "dict"
|
| 384 |
},
|
| 385 |
{
|
|
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
+
"generated_at_utc": "2026-06-03T20:35:48+00:00",
|
| 4 |
"docs_root": "docs",
|
| 5 |
"site_base": "/ropedia-xperience-10m-task-suite/",
|
| 6 |
"summary": {
|
|
|
|
| 75 |
"status": "pass",
|
| 76 |
"reason": "The project overview should appear before the deeper progress ledger.",
|
| 77 |
"overview_index": 66059,
|
| 78 |
+
"evidence_index": 83262
|
| 79 |
},
|
| 80 |
{
|
| 81 |
"name": "project_status_links_json",
|
|
|
|
| 150 |
"status": "pass",
|
| 151 |
"reason": "The evaluation protocol should appear before the deeper evidence ledger.",
|
| 152 |
"overview_index": 66059,
|
| 153 |
+
"protocol_index": 80126,
|
| 154 |
+
"evidence_index": 83262
|
| 155 |
},
|
| 156 |
{
|
| 157 |
"name": "evaluation_protocol_links_json",
|
|
|
|
| 259 |
},
|
| 260 |
{
|
| 261 |
"path": "data/evaluation_protocol.json",
|
| 262 |
+
"bytes": 13686,
|
| 263 |
"top_level_type": "dict"
|
| 264 |
},
|
| 265 |
{
|
|
|
|
| 284 |
},
|
| 285 |
{
|
| 286 |
"path": "data/mirror_parity.json",
|
| 287 |
+
"bytes": 108609,
|
| 288 |
"top_level_type": "dict"
|
| 289 |
},
|
| 290 |
{
|
|
|
|
| 294 |
},
|
| 295 |
{
|
| 296 |
"path": "data/project_brief.json",
|
| 297 |
+
"bytes": 3645,
|
| 298 |
"top_level_type": "dict"
|
| 299 |
},
|
| 300 |
{
|
|
|
|
| 304 |
},
|
| 305 |
{
|
| 306 |
"path": "data/project_packet.json",
|
| 307 |
+
"bytes": 7627,
|
| 308 |
"top_level_type": "dict"
|
| 309 |
},
|
| 310 |
{
|
| 311 |
"path": "data/project_status.json",
|
| 312 |
+
"bytes": 9233,
|
| 313 |
"top_level_type": "dict"
|
| 314 |
},
|
| 315 |
{
|
|
|
|
| 374 |
},
|
| 375 |
{
|
| 376 |
"path": "data/source_alignment_audit.json",
|
| 377 |
+
"bytes": 4724,
|
| 378 |
"top_level_type": "dict"
|
| 379 |
},
|
| 380 |
{
|
| 381 |
"path": "data/summary_metrics.json",
|
| 382 |
+
"bytes": 25260,
|
| 383 |
"top_level_type": "dict"
|
| 384 |
},
|
| 385 |
{
|