Datasets:
Modalities:
Text
Formats:
parquet
Sub-tasks:
language-modeling
Languages:
English
Size:
10K - 100K
License:
id stringlengths 41 72 | split stringclasses 1
value | modality stringclasses 1
value | turn_type stringclasses 1
value | dialogue listlengths 3 57 | input dict | streaming dict | target dict | taxonomy dict | quality dict | source dict | metadata dict |
|---|---|---|---|---|---|---|---|---|---|---|---|
life_mt_sct_DailyDialog_test_000002_target4 | train | text | multi_turn | [
{
"role": "user",
"text": "The taxi drivers are on strike again.",
"turn_id": 1
},
{
"role": "assistant",
"text": "What for?",
"turn_id": 2
},
{
"role": "user",
"text": "They want the government to reduce the price of the gasoline.",
"turn_id": 3
}
] | {
"dialogue_text": "user: The taxi drivers are on strike again.\nassistant: What for?\nuser: They want the government to reduce the price of the gasoline.",
"input_token_count": 23,
"instruction": "Answer the latest user turn using the dialogue context.",
"length_bucket": "short",
"num_turns": 3
} | {
"num_checkpoints": 3,
"turn_checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "The taxi drivers are on strike again.",
"role": "user",
"streaming_reasoning": "The user mentions The taxi drivers are on strike again. It is not yet clear whether the u... | {
"answer": "It is really a hot potato.",
"reasoning": "The dialogue is about \"The taxi drivers are on strike.\" The user later explains \"They want the government to reduce the price of the.\" The answer should treat this as a discussion of the topic, not as a task-planning request.",
"response": "Reasoning: Th... | {
"category": "social_communication",
"difficulty": "medium",
"intent_type": "information_request",
"subcategory": "message_reply"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "DailyDialog",
"id": "DailyDialog_test_000002",
"language": "en",
"license": ""
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_mt_sct_MultiWOZ_PMUL0698.json_target4 | train | text | multi_turn | [
{
"role": "user",
"text": "I'm looking for a local place to dine in the centre that serves chinese food.",
"turn_id": 1
},
{
"role": "assistant",
"text": "I have restaurants matching your criteria in all price ranges. Do you have a preference on price?",
"turn_id": 2
},
{
"role":... | {
"dialogue_text": "user: I'm looking for a local place to dine in the centre that serves chinese food.\nassistant: I have restaurants matching your criteria in all price ranges. Do you have a preference on price?\nuser: I need the address, postcode and the price range.",
"input_token_count": 44,
"instruction": "... | {
"num_checkpoints": 3,
"turn_checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "I'm looking for a local place to dine in the centre that serves chinese food.",
"role": "user",
"streaming_reasoning": "The user mentions I'm looking for a local place t... | {
"answer": "Ok how about Charlie Chan, located at Regent Street City Centre. Postcode is cb21db with a cheap price. Can I help you further today?",
"reasoning": "Across the dialogue, the user is searching for local place to dine in the centre that serves chinese food. Key context: I'm looking for a local place to ... | {
"category": "daily_life",
"difficulty": "medium",
"intent_type": "information_request",
"subcategory": "personal_preference"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "MultiWOZ",
"id": "MultiWOZ_PMUL0698.json",
"language": "en",
"license": ""
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_mt_sct_Taskmaster_dlg-00100680-00e0-40fe-8321-6d81b21bfc4f_target4 | train | text | multi_turn | [
{
"role": "user",
"text": "Hello. I'd like to find a round trip commercial airline flight from San Francisco to Denver.",
"turn_id": 1
},
{
"role": "assistant",
"text": "Hello, how can I help you? San Francisco to Denver, got it.",
"turn_id": 2
},
{
"role": "user",
"text": "Y... | {
"dialogue_text": "user: Hello. I'd like to find a round trip commercial airline flight from San Francisco to Denver.\nassistant: Hello, how can I help you? San Francisco to Denver, got it.\nuser: You're really on top of things. I like that.",
"input_token_count": 40,
"instruction": "Answer the latest user turn ... | {
"num_checkpoints": 3,
"turn_checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "Hello. I'd like to find a round trip commercial airline flight from San Francisco to Denver.",
"role": "user",
"streaming_reasoning": "The user mentions searching for He... | {
"answer": "So what days are you looking to fly? Hey, what else can you say?",
"reasoning": "Across the dialogue, the user discusses \"Hello. I'd like to find a round trip commercial airline.\" over 3 turns. The answer should respond to the latest user turn naturally, maintaining the conversational tone.",
"resp... | {
"category": "travel",
"difficulty": "medium",
"intent_type": "information_request",
"subcategory": "local_transport"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "Taskmaster",
"id": "Taskmaster_dlg-00100680-00e0-40fe-8321-6d81b21bfc4f",
"language": "en",
"license": ""
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_mt_sct_DailyDialog_test_000003_target4 | train | text | multi_turn | [
{
"role": "user",
"text": "We've managed to reduce our energy consumption in our factory by about 15 per cent in the last two years.",
"turn_id": 1
},
{
"role": "assistant",
"text": "That's excellent. How have you managed that?",
"turn_id": 2
},
{
"role": "user",
"text": "Mai... | {
"dialogue_text": "user: We've managed to reduce our energy consumption in our factory by about 15 per cent in the last two years.\nassistant: That's excellent. How have you managed that?\nuser: Mainly because we've invested in a heat recovery system.",
"input_token_count": 39,
"instruction": "Answer the latest ... | {
"num_checkpoints": 3,
"turn_checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "We've managed to reduce our energy consumption in our factory by about 15 per cent in the last two years.",
"role": "user",
"streaming_reasoning": "The user mentions tal... | {
"answer": "What does that mean exactly?",
"reasoning": "Across the dialogue, the user discusses \"We've managed to reduce our energy consumption in our.\" over 3 turns. The answer should respond to the latest user turn naturally, maintaining the conversational tone.",
"response": "Reasoning: Across the dialogue... | {
"category": "information_extraction",
"difficulty": "medium",
"intent_type": "information_request",
"subcategory": "long_note_to_summary"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "DailyDialog",
"id": "DailyDialog_test_000003",
"language": "en",
"license": ""
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_mt_sct_MultiWOZ_PMUL0698.json_target6 | train | text | multi_turn | [
{
"role": "user",
"text": "I'm looking for a local place to dine in the centre that serves chinese food.",
"turn_id": 1
},
{
"role": "assistant",
"text": "I have restaurants matching your criteria in all price ranges. Do you have a preference on price?",
"turn_id": 2
},
{
"role":... | {
"dialogue_text": "user: I'm looking for a local place to dine in the centre that serves chinese food.\nassistant: I have restaurants matching your criteria in all price ranges. Do you have a preference on price?\nuser: I need the address, postcode and the price range.\nassistant: Ok how about Charlie Chan, located ... | {
"num_checkpoints": 5,
"turn_checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "I'm looking for a local place to dine in the centre that serves chinese food.",
"role": "user",
"streaming_reasoning": "The user mentions I'm looking for a local place t... | {
"answer": "Can I have more information for the train you're needing? Where are you departing from and arriving to?",
"reasoning": "Across the dialogue, the user is searching for local place to dine in the centre that serves chinese food. Key context: I'm looking for a local place to dine in the centre that serves... | {
"category": "social_communication",
"difficulty": "hard",
"intent_type": "information_request",
"subcategory": "message_reply"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "MultiWOZ",
"id": "MultiWOZ_PMUL0698.json",
"language": "en",
"license": ""
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_mt_sct_Taskmaster_dlg-00100680-00e0-40fe-8321-6d81b21bfc4f_target6 | train | text | multi_turn | [
{
"role": "user",
"text": "Hello. I'd like to find a round trip commercial airline flight from San Francisco to Denver.",
"turn_id": 1
},
{
"role": "assistant",
"text": "Hello, how can I help you? San Francisco to Denver, got it.",
"turn_id": 2
},
{
"role": "user",
"text": "Y... | {
"dialogue_text": "user: Hello. I'd like to find a round trip commercial airline flight from San Francisco to Denver.\nassistant: Hello, how can I help you? San Francisco to Denver, got it.\nuser: You're really on top of things. I like that.\nassistant: So what days are you looking to fly? Hey, what else can you say... | {
"num_checkpoints": 5,
"turn_checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "Hello. I'd like to find a round trip commercial airline flight from San Francisco to Denver.",
"role": "user",
"streaming_reasoning": "The user mentions searching for He... | {
"answer": "That sounds good, where you looking to go? That's right okay we have prices starting at $337.",
"reasoning": "Across the dialogue, the user is searching for to fly out sometime tonight. Key context: I'd like to find a round trip commercial airline flight from San Francisco to Denver; Hello, how can I h... | {
"category": "travel",
"difficulty": "hard",
"intent_type": "information_request",
"subcategory": "local_transport"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "Taskmaster",
"id": "Taskmaster_dlg-00100680-00e0-40fe-8321-6d81b21bfc4f",
"language": "en",
"license": ""
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_mt_sct_DailyDialog_test_000003_target6 | train | text | multi_turn | [
{
"role": "user",
"text": "We've managed to reduce our energy consumption in our factory by about 15 per cent in the last two years.",
"turn_id": 1
},
{
"role": "assistant",
"text": "That's excellent. How have you managed that?",
"turn_id": 2
},
{
"role": "user",
"text": "Mai... | {
"dialogue_text": "user: We've managed to reduce our energy consumption in our factory by about 15 per cent in the last two years.\nassistant: That's excellent. How have you managed that?\nuser: Mainly because we've invested in a heat recovery system.\nassistant: What does that mean exactly?\nuser: Well, we use the ... | {
"num_checkpoints": 5,
"turn_checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "We've managed to reduce our energy consumption in our factory by about 15 per cent in the last two years.",
"role": "user",
"streaming_reasoning": "The user mentions tal... | {
"answer": "What other sources of energy do you use?",
"reasoning": "Across the dialogue, the user discusses \"We've managed to reduce our energy consumption in our.\" over 5 turns. The answer should respond to the latest user turn naturally, maintaining the conversational tone.",
"response": "Reasoning: Across ... | {
"category": "information_extraction",
"difficulty": "medium",
"intent_type": "information_request",
"subcategory": "long_note_to_summary"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "DailyDialog",
"id": "DailyDialog_test_000003",
"language": "en",
"license": ""
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_mt_sct_MultiWOZ_PMUL0698.json_target8 | train | text | multi_turn | [
{
"role": "user",
"text": "I'm looking for a local place to dine in the centre that serves chinese food.",
"turn_id": 1
},
{
"role": "assistant",
"text": "I have restaurants matching your criteria in all price ranges. Do you have a preference on price?",
"turn_id": 2
},
{
"role":... | {
"dialogue_text": "user: I'm looking for a local place to dine in the centre that serves chinese food.\nassistant: I have restaurants matching your criteria in all price ranges. Do you have a preference on price?\nuser: I need the address, postcode and the price range.\nassistant: Ok how about Charlie Chan, located ... | {
"num_checkpoints": 7,
"turn_checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "I'm looking for a local place to dine in the centre that serves chinese food.",
"role": "user",
"streaming_reasoning": "The user mentions I'm looking for a local place t... | {
"answer": "I have train TR1840 leaving at 16:36 is that okay?",
"reasoning": "Across the dialogue, the user is searching for local place to dine in the centre that serves chinese food. Key context: I'm looking for a local place to dine in the centre that serves chinese food; I have restaurants matching your crite... | {
"category": "social_communication",
"difficulty": "hard",
"intent_type": "information_request",
"subcategory": "message_reply"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "MultiWOZ",
"id": "MultiWOZ_PMUL0698.json",
"language": "en",
"license": ""
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_mt_sct_Taskmaster_dlg-00100680-00e0-40fe-8321-6d81b21bfc4f_target8 | train | text | multi_turn | [
{
"role": "user",
"text": "Hello. I'd like to find a round trip commercial airline flight from San Francisco to Denver.",
"turn_id": 1
},
{
"role": "assistant",
"text": "Hello, how can I help you? San Francisco to Denver, got it.",
"turn_id": 2
},
{
"role": "user",
"text": "Y... | {
"dialogue_text": "user: Hello. I'd like to find a round trip commercial airline flight from San Francisco to Denver.\nassistant: Hello, how can I help you? San Francisco to Denver, got it.\nuser: You're really on top of things. I like that.\nassistant: So what days are you looking to fly? Hey, what else can you say... | {
"num_checkpoints": 7,
"turn_checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "Hello. I'd like to find a round trip commercial airline flight from San Francisco to Denver.",
"role": "user",
"streaming_reasoning": "The user mentions searching for He... | {
"answer": "Okay, Non-Stop and if I heard you correctly did you say you wanted to leave as early as possible and also Nile C.",
"reasoning": "Across the dialogue, the user is searching for to fly out sometime tonight. Key context: I'd like to find a round trip commercial airline flight from San Francisco to Denver... | {
"category": "travel",
"difficulty": "hard",
"intent_type": "information_request",
"subcategory": "local_transport"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "Taskmaster",
"id": "Taskmaster_dlg-00100680-00e0-40fe-8321-6d81b21bfc4f",
"language": "en",
"license": ""
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_mt_sct_DailyDialog_test_000004_target4 | train | text | multi_turn | [
{
"role": "user",
"text": "Believe it or not, tea is the most popular beverage in the world after water.",
"turn_id": 1
},
{
"role": "assistant",
"text": "Well, people from Asia to Europe all enjoy tea.",
"turn_id": 2
},
{
"role": "user",
"text": "Right. And China is the home... | {
"dialogue_text": "user: Believe it or not, tea is the most popular beverage in the world after water.\nassistant: Well, people from Asia to Europe all enjoy tea.\nuser: Right. And China is the homeland of tea.",
"input_token_count": 35,
"instruction": "Answer the latest user turn using the dialogue context.",
... | {
"num_checkpoints": 3,
"turn_checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "Believe it or not, tea is the most popular beverage in the world after water.",
"role": "user",
"streaming_reasoning": "The user mentions talking about Believe. It is no... | {
"answer": "Yes, Chinese people love drinking tea so much. Some even claim they can't live without tea.",
"reasoning": "Across the dialogue, the user discusses \"Believe it or not, tea is the most popular beverage in the.\" over 3 turns. The answer should respond to the latest user turn naturally, maintaining the ... | {
"category": "daily_life",
"difficulty": "medium",
"intent_type": "conversational_understanding",
"subcategory": "home_task"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "DailyDialog",
"id": "DailyDialog_test_000004",
"language": "en",
"license": ""
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_mt_sct_MultiWOZ_PMUL0698.json_target10 | train | text | multi_turn | [
{
"role": "user",
"text": "I'm looking for a local place to dine in the centre that serves chinese food.",
"turn_id": 1
},
{
"role": "assistant",
"text": "I have restaurants matching your criteria in all price ranges. Do you have a preference on price?",
"turn_id": 2
},
{
"role":... | {
"dialogue_text": "user: I'm looking for a local place to dine in the centre that serves chinese food.\nassistant: I have restaurants matching your criteria in all price ranges. Do you have a preference on price?\nuser: I need the address, postcode and the price range.\nassistant: Ok how about Charlie Chan, located ... | {
"num_checkpoints": 9,
"turn_checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "I'm looking for a local place to dine in the centre that serves chinese food.",
"role": "user",
"streaming_reasoning": "The user mentions I'm looking for a local place t... | {
"answer": "You're all set. Reference number is NJB87PAP. Is there anything else I can help you with today?",
"reasoning": "Across the dialogue, the user is searching for local place to dine in the centre that serves chinese food. Key context: I'm looking for a local place to dine in the centre that serves chinese... | {
"category": "social_communication",
"difficulty": "hard",
"intent_type": "information_request",
"subcategory": "message_reply"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "MultiWOZ",
"id": "MultiWOZ_PMUL0698.json",
"language": "en",
"license": ""
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_mt_sct_Taskmaster_dlg-00100680-00e0-40fe-8321-6d81b21bfc4f_target10 | train | text | multi_turn | [
{
"role": "user",
"text": "Hello. I'd like to find a round trip commercial airline flight from San Francisco to Denver.",
"turn_id": 1
},
{
"role": "assistant",
"text": "Hello, how can I help you? San Francisco to Denver, got it.",
"turn_id": 2
},
{
"role": "user",
"text": "Y... | {
"dialogue_text": "user: Hello. I'd like to find a round trip commercial airline flight from San Francisco to Denver.\nassistant: Hello, how can I help you? San Francisco to Denver, got it.\nuser: You're really on top of things. I like that.\nassistant: So what days are you looking to fly? Hey, what else can you say... | {
"num_checkpoints": 9,
"turn_checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "Hello. I'd like to find a round trip commercial airline flight from San Francisco to Denver.",
"role": "user",
"streaming_reasoning": "The user mentions searching for He... | {
"answer": "Okay, you got it so it looks like United Airlines leaves at 9:20 p.m. that is nonstop the flight duration is 2 hours and 28 minutes and is priced at $337.",
"reasoning": "Across the dialogue, the user is searching for to fly out sometime tonight. Key context: I'd like to find a round trip commercial ai... | {
"category": "travel",
"difficulty": "hard",
"intent_type": "information_request",
"subcategory": "local_transport"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "Taskmaster",
"id": "Taskmaster_dlg-00100680-00e0-40fe-8321-6d81b21bfc4f",
"language": "en",
"license": ""
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_mt_sct_DailyDialog_test_000004_target6 | train | text | multi_turn | [
{
"role": "user",
"text": "Believe it or not, tea is the most popular beverage in the world after water.",
"turn_id": 1
},
{
"role": "assistant",
"text": "Well, people from Asia to Europe all enjoy tea.",
"turn_id": 2
},
{
"role": "user",
"text": "Right. And China is the home... | {
"dialogue_text": "user: Believe it or not, tea is the most popular beverage in the world after water.\nassistant: Well, people from Asia to Europe all enjoy tea.\nuser: Right. And China is the homeland of tea.\nassistant: Yes, Chinese people love drinking tea so much. Some even claim they can't live without tea.\nu... | {
"num_checkpoints": 5,
"turn_checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "Believe it or not, tea is the most popular beverage in the world after water.",
"role": "user",
"streaming_reasoning": "The user mentions talking about Believe. It is no... | {
"answer": "Yes, I believe there are green teas, black teas and scented teas. Any Others?",
"reasoning": "Across the dialogue, the user discusses \"Believe it or not, tea is the most popular beverage in the.\" over 5 turns. The answer should respond to the latest user turn naturally, maintaining the conversational... | {
"category": "social_communication",
"difficulty": "medium",
"intent_type": "information_request",
"subcategory": "message_reply"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "DailyDialog",
"id": "DailyDialog_test_000004",
"language": "en",
"license": ""
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_mt_sct_MultiWOZ_PMUL0698.json_target12 | train | text | multi_turn | [
{
"role": "user",
"text": "I'm looking for a local place to dine in the centre that serves chinese food.",
"turn_id": 1
},
{
"role": "assistant",
"text": "I have restaurants matching your criteria in all price ranges. Do you have a preference on price?",
"turn_id": 2
},
{
"role":... | {
"dialogue_text": "user: I'm looking for a local place to dine in the centre that serves chinese food.\nassistant: I have restaurants matching your criteria in all price ranges. Do you have a preference on price?\nuser: I need the address, postcode and the price range.\nassistant: Ok how about Charlie Chan, located ... | {
"num_checkpoints": 11,
"turn_checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "I'm looking for a local place to dine in the centre that serves chinese food.",
"role": "user",
"streaming_reasoning": "The user mentions I'm looking for a local place ... | {
"answer": "Thank for calling us today. I hope you have a good trip.",
"reasoning": "Across the dialogue, the user is searching for local place to dine in the centre that serves chinese food. Key context: I'm looking for a local place to dine in the centre that serves chinese food; I have restaurants matching your... | {
"category": "social_communication",
"difficulty": "hard",
"intent_type": "information_request",
"subcategory": "message_reply"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "MultiWOZ",
"id": "MultiWOZ_PMUL0698.json",
"language": "en",
"license": ""
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_mt_sct_Taskmaster_dlg-00100680-00e0-40fe-8321-6d81b21bfc4f_target12 | train | text | multi_turn | [
{
"role": "user",
"text": "Hello. I'd like to find a round trip commercial airline flight from San Francisco to Denver.",
"turn_id": 1
},
{
"role": "assistant",
"text": "Hello, how can I help you? San Francisco to Denver, got it.",
"turn_id": 2
},
{
"role": "user",
"text": "Y... | {
"dialogue_text": "user: Hello. I'd like to find a round trip commercial airline flight from San Francisco to Denver.\nassistant: Hello, how can I help you? San Francisco to Denver, got it.\nuser: You're really on top of things. I like that.\nassistant: So what days are you looking to fly? Hey, what else can you say... | {
"num_checkpoints": 11,
"turn_checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "Hello. I'd like to find a round trip commercial airline flight from San Francisco to Denver.",
"role": "user",
"streaming_reasoning": "The user mentions searching for H... | {
"answer": "Perfect.",
"reasoning": "Across the dialogue, the user is searching for to fly out sometime tonight. Key context: I'd like to find a round trip commercial airline flight from San Francisco to Denver; Hello, how can I help you; San Francisco to Denver, got it; You're really on top of things. The answer ... | {
"category": "travel",
"difficulty": "hard",
"intent_type": "information_request",
"subcategory": "local_transport"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "Taskmaster",
"id": "Taskmaster_dlg-00100680-00e0-40fe-8321-6d81b21bfc4f",
"language": "en",
"license": ""
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_mt_sct_DailyDialog_test_000004_target8 | train | text | multi_turn | [
{
"role": "user",
"text": "Believe it or not, tea is the most popular beverage in the world after water.",
"turn_id": 1
},
{
"role": "assistant",
"text": "Well, people from Asia to Europe all enjoy tea.",
"turn_id": 2
},
{
"role": "user",
"text": "Right. And China is the home... | {
"dialogue_text": "user: Believe it or not, tea is the most popular beverage in the world after water.\nassistant: Well, people from Asia to Europe all enjoy tea.\nuser: Right. And China is the homeland of tea.\nassistant: Yes, Chinese people love drinking tea so much. Some even claim they can't live without tea.\nu... | {
"num_checkpoints": 7,
"turn_checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "Believe it or not, tea is the most popular beverage in the world after water.",
"role": "user",
"streaming_reasoning": "The user mentions talking about Believe. It is no... | {
"answer": "Oh, yeah. Oulong tea is good for one's health. isn't it?",
"reasoning": "Across the dialogue, the user is talking about believe it or not, tea is the most popular beverage in the world after water. Key context: Believe it or not, tea is the most popular beverage in the world after water; Well, people f... | {
"category": "social_communication",
"difficulty": "hard",
"intent_type": "information_request",
"subcategory": "message_reply"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "DailyDialog",
"id": "DailyDialog_test_000004",
"language": "en",
"license": ""
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_mt_sct_Taskmaster_dlg-00100680-00e0-40fe-8321-6d81b21bfc4f_target14 | train | text | multi_turn | [
{
"role": "user",
"text": "Hello. I'd like to find a round trip commercial airline flight from San Francisco to Denver.",
"turn_id": 1
},
{
"role": "assistant",
"text": "Hello, how can I help you? San Francisco to Denver, got it.",
"turn_id": 2
},
{
"role": "user",
"text": "Y... | {
"dialogue_text": "user: Hello. I'd like to find a round trip commercial airline flight from San Francisco to Denver.\nassistant: Hello, how can I help you? San Francisco to Denver, got it.\nuser: You're really on top of things. I like that.\nassistant: So what days are you looking to fly? Hey, what else can you say... | {
"num_checkpoints": 13,
"turn_checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "Hello. I'd like to find a round trip commercial airline flight from San Francisco to Denver.",
"role": "user",
"streaming_reasoning": "The user mentions searching for H... | {
"answer": "How does 5:30 a.m. work?",
"reasoning": "Across the dialogue, the user is searching for to fly out sometime tonight. Key context: I'd like to find a round trip commercial airline flight from San Francisco to Denver; Hello, how can I help you; San Francisco to Denver, got it; You're really on top of thi... | {
"category": "travel",
"difficulty": "hard",
"intent_type": "information_request",
"subcategory": "local_transport"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "Taskmaster",
"id": "Taskmaster_dlg-00100680-00e0-40fe-8321-6d81b21bfc4f",
"language": "en",
"license": ""
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_mt_sct_DailyDialog_test_000004_target10 | train | text | multi_turn | [
{
"role": "user",
"text": "Believe it or not, tea is the most popular beverage in the world after water.",
"turn_id": 1
},
{
"role": "assistant",
"text": "Well, people from Asia to Europe all enjoy tea.",
"turn_id": 2
},
{
"role": "user",
"text": "Right. And China is the home... | {
"dialogue_text": "user: Believe it or not, tea is the most popular beverage in the world after water.\nassistant: Well, people from Asia to Europe all enjoy tea.\nuser: Right. And China is the homeland of tea.\nassistant: Yes, Chinese people love drinking tea so much. Some even claim they can't live without tea.\nu... | {
"num_checkpoints": 9,
"turn_checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "Believe it or not, tea is the most popular beverage in the world after water.",
"role": "user",
"streaming_reasoning": "The user mentions talking about Believe. It is no... | {
"answer": "Sure, I like drinking tea at teahouses.",
"reasoning": "Across the dialogue, the user is asking for recommendations about believe it or not, tea is the most popular beverage in the world after water. Key context: Believe it or not, tea is the most popular beverage in the world after water; Well, people... | {
"category": "social_communication",
"difficulty": "hard",
"intent_type": "information_request",
"subcategory": "message_reply"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "DailyDialog",
"id": "DailyDialog_test_000004",
"language": "en",
"license": ""
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_mt_sct_Taskmaster_dlg-00100680-00e0-40fe-8321-6d81b21bfc4f_target16 | train | text | multi_turn | [
{
"role": "user",
"text": "Hello. I'd like to find a round trip commercial airline flight from San Francisco to Denver.",
"turn_id": 1
},
{
"role": "assistant",
"text": "Hello, how can I help you? San Francisco to Denver, got it.",
"turn_id": 2
},
{
"role": "user",
"text": "Y... | {
"dialogue_text": "user: Hello. I'd like to find a round trip commercial airline flight from San Francisco to Denver.\nassistant: Hello, how can I help you? San Francisco to Denver, got it.\nuser: You're really on top of things. I like that.\nassistant: So what days are you looking to fly? Hey, what else can you say... | {
"num_checkpoints": 15,
"turn_checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "Hello. I'd like to find a round trip commercial airline flight from San Francisco to Denver.",
"role": "user",
"streaming_reasoning": "The user mentions searching for H... | {
"answer": "Okay, got it. 6:55 p.m.",
"reasoning": "Across the dialogue, the user is searching for to fly out sometime tonight. Key context: I'd like to find a round trip commercial airline flight from San Francisco to Denver; Hello, how can I help you; San Francisco to Denver, got it; You're really on top of thin... | {
"category": "travel",
"difficulty": "hard",
"intent_type": "information_request",
"subcategory": "local_transport"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "Taskmaster",
"id": "Taskmaster_dlg-00100680-00e0-40fe-8321-6d81b21bfc4f",
"language": "en",
"license": ""
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_mt_sct_DailyDialog_test_000004_target12 | train | text | multi_turn | [
{
"role": "user",
"text": "Believe it or not, tea is the most popular beverage in the world after water.",
"turn_id": 1
},
{
"role": "assistant",
"text": "Well, people from Asia to Europe all enjoy tea.",
"turn_id": 2
},
{
"role": "user",
"text": "Right. And China is the home... | {
"dialogue_text": "user: Believe it or not, tea is the most popular beverage in the world after water.\nassistant: Well, people from Asia to Europe all enjoy tea.\nuser: Right. And China is the homeland of tea.\nassistant: Yes, Chinese people love drinking tea so much. Some even claim they can't live without tea.\nu... | {
"num_checkpoints": 11,
"turn_checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "Believe it or not, tea is the most popular beverage in the world after water.",
"role": "user",
"streaming_reasoning": "The user mentions talking about Believe. It is n... | {
"answer": "Why don't we go for one now?",
"reasoning": "Across the dialogue, the user is asking for recommendations about believe it or not, tea is the most popular beverage in the world after water. Key context: Believe it or not, tea is the most popular beverage in the world after water; Well, people from Asia ... | {
"category": "social_communication",
"difficulty": "hard",
"intent_type": "information_request",
"subcategory": "message_reply"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "DailyDialog",
"id": "DailyDialog_test_000004",
"language": "en",
"license": ""
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_mt_sct_Taskmaster_dlg-00100680-00e0-40fe-8321-6d81b21bfc4f_target18 | train | text | multi_turn | [
{
"role": "user",
"text": "Hello. I'd like to find a round trip commercial airline flight from San Francisco to Denver.",
"turn_id": 1
},
{
"role": "assistant",
"text": "Hello, how can I help you? San Francisco to Denver, got it.",
"turn_id": 2
},
{
"role": "user",
"text": "Y... | {
"dialogue_text": "user: Hello. I'd like to find a round trip commercial airline flight from San Francisco to Denver.\nassistant: Hello, how can I help you? San Francisco to Denver, got it.\nuser: You're really on top of things. I like that.\nassistant: So what days are you looking to fly? Hey, what else can you say... | {
"num_checkpoints": 17,
"turn_checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "Hello. I'd like to find a round trip commercial airline flight from San Francisco to Denver.",
"role": "user",
"streaming_reasoning": "The user mentions searching for H... | {
"answer": "Alright, perfect so that is United Airlines as well.",
"reasoning": "Across the dialogue, the user is searching for to fly out sometime tonight. Key context: I'd like to find a round trip commercial airline flight from San Francisco to Denver; Hello, how can I help you; San Francisco to Denver, got it;... | {
"category": "travel",
"difficulty": "hard",
"intent_type": "information_request",
"subcategory": "local_transport"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "Taskmaster",
"id": "Taskmaster_dlg-00100680-00e0-40fe-8321-6d81b21bfc4f",
"language": "en",
"license": ""
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_mt_sct_DailyDialog_test_000004_target14 | train | text | multi_turn | [
{
"role": "user",
"text": "Believe it or not, tea is the most popular beverage in the world after water.",
"turn_id": 1
},
{
"role": "assistant",
"text": "Well, people from Asia to Europe all enjoy tea.",
"turn_id": 2
},
{
"role": "user",
"text": "Right. And China is the home... | {
"dialogue_text": "user: Believe it or not, tea is the most popular beverage in the world after water.\nassistant: Well, people from Asia to Europe all enjoy tea.\nuser: Right. And China is the homeland of tea.\nassistant: Yes, Chinese people love drinking tea so much. Some even claim they can't live without tea.\nu... | {
"num_checkpoints": 13,
"turn_checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "Believe it or not, tea is the most popular beverage in the world after water.",
"role": "user",
"streaming_reasoning": "The user mentions talking about Believe. It is n... | {
"answer": "Let's go!",
"reasoning": "Across the dialogue, the user is asking for recommendations about believe it or not, tea is the most popular beverage in the world after water. Key context: Believe it or not, tea is the most popular beverage in the world after water; Well, people from Asia to Europe all enjoy... | {
"category": "social_communication",
"difficulty": "hard",
"intent_type": "explain_cause",
"subcategory": "message_reply"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "DailyDialog",
"id": "DailyDialog_test_000004",
"language": "en",
"license": ""
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_mt_sct_Taskmaster_dlg-00100680-00e0-40fe-8321-6d81b21bfc4f_target20 | train | text | multi_turn | [
{
"role": "user",
"text": "Hello. I'd like to find a round trip commercial airline flight from San Francisco to Denver.",
"turn_id": 1
},
{
"role": "assistant",
"text": "Hello, how can I help you? San Francisco to Denver, got it.",
"turn_id": 2
},
{
"role": "user",
"text": "Y... | {
"dialogue_text": "user: Hello. I'd like to find a round trip commercial airline flight from San Francisco to Denver.\nassistant: Hello, how can I help you? San Francisco to Denver, got it.\nuser: You're really on top of things. I like that.\nassistant: So what days are you looking to fly? Hey, what else can you say... | {
"num_checkpoints": 19,
"turn_checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "Hello. I'd like to find a round trip commercial airline flight from San Francisco to Denver.",
"role": "user",
"streaming_reasoning": "The user mentions searching for H... | {
"answer": "Pleasure all mine. Enjoy your trip to Denver, have a great night. Your welcome.",
"reasoning": "Across the dialogue, the user is searching for to fly out sometime tonight. Key context: I'd like to find a round trip commercial airline flight from San Francisco to Denver; Hello, how can I help you; San F... | {
"category": "travel",
"difficulty": "hard",
"intent_type": "information_request",
"subcategory": "local_transport"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "Taskmaster",
"id": "Taskmaster_dlg-00100680-00e0-40fe-8321-6d81b21bfc4f",
"language": "en",
"license": ""
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_mt_sct_DailyDialog_test_000005_target4 | train | text | multi_turn | [
{
"role": "user",
"text": "What are your personal weaknesses?",
"turn_id": 1
},
{
"role": "assistant",
"text": "I ' m afraid I ' m a poor talker. I ' m not comfortable talking with the people whom I have just met for the first time. That is not very good for business, so I have been studying... | {
"dialogue_text": "user: What are your personal weaknesses?\nassistant: I ' m afraid I ' m a poor talker. I ' m not comfortable talking with the people whom I have just met for the first time. That is not very good for business, so I have been studying public speaking.\nuser: Are you more of a leader or a follower?"... | {
"num_checkpoints": 3,
"turn_checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "What are your personal weaknesses?",
"role": "user",
"streaming_reasoning": "The user mentions What are your personal weaknesses?. It is not yet clear whether the user n... | {
"answer": "I don ' t try to lead people. I ' d rather cooperate with everybody, and get the job done by working together.",
"reasoning": "Across the dialogue, the user is asking for recommendations about what are your personal weaknesses. Key context: What are your personal weaknesses; I ' m afraid I ' m a poor t... | {
"category": "daily_life",
"difficulty": "medium",
"intent_type": "information_request",
"subcategory": "personal_preference"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "DailyDialog",
"id": "DailyDialog_test_000005",
"language": "en",
"license": ""
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_mt_sct_DailyDialog_test_000005_target6 | train | text | multi_turn | [
{
"role": "user",
"text": "What are your personal weaknesses?",
"turn_id": 1
},
{
"role": "assistant",
"text": "I ' m afraid I ' m a poor talker. I ' m not comfortable talking with the people whom I have just met for the first time. That is not very good for business, so I have been studying... | {
"dialogue_text": "user: What are your personal weaknesses?\nassistant: I ' m afraid I ' m a poor talker. I ' m not comfortable talking with the people whom I have just met for the first time. That is not very good for business, so I have been studying public speaking.\nuser: Are you more of a leader or a follower?\... | {
"num_checkpoints": 5,
"turn_checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "What are your personal weaknesses?",
"role": "user",
"streaming_reasoning": "The user mentions What are your personal weaknesses?. It is not yet clear whether the user n... | {
"answer": "Yes, in most circumstances.",
"reasoning": "Across the dialogue, the user is asking for recommendations about what are your personal weaknesses. Key context: What are your personal weaknesses; I ' m afraid I ' m a poor talker; I ' m not comfortable talking with the people whom I have just met for the f... | {
"category": "daily_life",
"difficulty": "hard",
"intent_type": "information_request",
"subcategory": "personal_preference"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "DailyDialog",
"id": "DailyDialog_test_000005",
"language": "en",
"license": ""
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_mt_sct_DailyDialog_test_000005_target8 | train | text | multi_turn | [
{
"role": "user",
"text": "What are your personal weaknesses?",
"turn_id": 1
},
{
"role": "assistant",
"text": "I ' m afraid I ' m a poor talker. I ' m not comfortable talking with the people whom I have just met for the first time. That is not very good for business, so I have been studying... | {
"dialogue_text": "user: What are your personal weaknesses?\nassistant: I ' m afraid I ' m a poor talker. I ' m not comfortable talking with the people whom I have just met for the first time. That is not very good for business, so I have been studying public speaking.\nuser: Are you more of a leader or a follower?\... | {
"num_checkpoints": 7,
"turn_checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "What are your personal weaknesses?",
"role": "user",
"streaming_reasoning": "The user mentions What are your personal weaknesses?. It is not yet clear whether the user n... | {
"answer": "Yes, I like travelling. I am young, and unmarried. It ' s no problem for me to travel frequently.",
"reasoning": "Across the dialogue, the user is asking for recommendations about what are your personal weaknesses. Key context: What are your personal weaknesses; I ' m afraid I ' m a poor talker; I ' m ... | {
"category": "daily_life",
"difficulty": "hard",
"intent_type": "information_request",
"subcategory": "personal_preference"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "DailyDialog",
"id": "DailyDialog_test_000005",
"language": "en",
"license": ""
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_mt_sct_DailyDialog_test_000006_target4 | train | text | multi_turn | [
{
"role": "user",
"text": "how long will it take us to drive to London?",
"turn_id": 1
},
{
"role": "assistant",
"text": "I think it ' s a distance of 180 kilometers from here to London, so it should be a two-hour drive on the motorway.",
"turn_id": 2
},
{
"role": "user",
"te... | {
"dialogue_text": "user: how long will it take us to drive to London?\nassistant: I think it ' s a distance of 180 kilometers from here to London, so it should be a two-hour drive on the motorway.\nuser: that ' s unless there is a traffic jam. It could take three hours.",
"input_token_count": 51,
"instruction": ... | {
"num_checkpoints": 3,
"turn_checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "How long will it take us to drive to London?",
"role": "user",
"streaming_reasoning": "The user mentions How long will it take us to drive to London?. It is not yet clea... | {
"answer": "you ' re right. We will be able to travel at high speeds at the beginning and end of the journey, because we will be in built-up areas.",
"reasoning": "Across the dialogue, the user discusses \"how long will it take us to drive to.\" over 3 turns. The answer should respond to the latest user turn natur... | {
"category": "information_extraction",
"difficulty": "medium",
"intent_type": "information_request",
"subcategory": "constraints_extraction"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "DailyDialog",
"id": "DailyDialog_test_000006",
"language": "en",
"license": ""
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_mt_sct_DailyDialog_test_000006_target6 | train | text | multi_turn | [
{
"role": "user",
"text": "how long will it take us to drive to London?",
"turn_id": 1
},
{
"role": "assistant",
"text": "I think it ' s a distance of 180 kilometers from here to London, so it should be a two-hour drive on the motorway.",
"turn_id": 2
},
{
"role": "user",
"te... | {
"dialogue_text": "user: how long will it take us to drive to London?\nassistant: I think it ' s a distance of 180 kilometers from here to London, so it should be a two-hour drive on the motorway.\nuser: that ' s unless there is a traffic jam. It could take three hours.\nassistant: you ' re right. We will be able to... | {
"num_checkpoints": 5,
"turn_checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "How long will it take us to drive to London?",
"role": "user",
"streaming_reasoning": "The user mentions How long will it take us to drive to London?. It is not yet clea... | {
"answer": "ok. You haven ' t seen my company car, have you?",
"reasoning": "Across the dialogue, the user discusses \"how long will it take us to drive to.\" over 5 turns. The answer should respond to the latest user turn naturally, maintaining the conversational tone.",
"response": "Reasoning: Across the dialo... | {
"category": "information_extraction",
"difficulty": "hard",
"intent_type": "information_request",
"subcategory": "long_note_to_summary"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "DailyDialog",
"id": "DailyDialog_test_000006",
"language": "en",
"license": ""
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_mt_sct_DailyDialog_test_000006_target8 | train | text | multi_turn | [
{
"role": "user",
"text": "how long will it take us to drive to London?",
"turn_id": 1
},
{
"role": "assistant",
"text": "I think it ' s a distance of 180 kilometers from here to London, so it should be a two-hour drive on the motorway.",
"turn_id": 2
},
{
"role": "user",
"te... | {
"dialogue_text": "user: how long will it take us to drive to London?\nassistant: I think it ' s a distance of 180 kilometers from here to London, so it should be a two-hour drive on the motorway.\nuser: that ' s unless there is a traffic jam. It could take three hours.\nassistant: you ' re right. We will be able to... | {
"num_checkpoints": 7,
"turn_checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "How long will it take us to drive to London?",
"role": "user",
"streaming_reasoning": "The user mentions How long will it take us to drive to London?. It is not yet clea... | {
"answer": "I think it ' s over five meters long. I can ' t remember exactly. It has a maximum speed of over 200 kilometers an hour.",
"reasoning": "Across the dialogue, the user is talking about how long will it take us to drive to london. Key context: how long will it take us to drive to London; I think it ' s a... | {
"category": "information_extraction",
"difficulty": "hard",
"intent_type": "information_request",
"subcategory": "long_note_to_summary"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "DailyDialog",
"id": "DailyDialog_test_000006",
"language": "en",
"license": ""
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
life_mt_sct_MultiWOZ_SNG01627.json_target4 | train | text | multi_turn | [
{
"role": "user",
"text": "I need a taxi to come to backstreet bistro by 19:30.",
"turn_id": 1
},
{
"role": "assistant",
"text": "Where would you be coming from?",
"turn_id": 2
},
{
"role": "user",
"text": "I'm coming from sesame restaurant and bar.",
"turn_id": 3
}
] | {
"dialogue_text": "user: I need a taxi to come to backstreet bistro by 19:30.\nassistant: Where would you be coming from?\nuser: I'm coming from sesame restaurant and bar.",
"input_token_count": 27,
"instruction": "Answer the latest user turn using the dialogue context.",
"length_bucket": "short",
"num_turns... | {
"num_checkpoints": 3,
"turn_checkpoints": [
{
"checkpoint_id": "C1",
"confidence": "medium",
"observed_text": "I need a taxi to come to backstreet bistro by 19:30.",
"role": "user",
"streaming_reasoning": "The user mentions I need a taxi to come to backstreet bistro by 19:30. It ... | {
"answer": "I can book you a Grey BMW with the contact number [phone removed]. Is there anything else I can do for you today?",
"reasoning": "Across the dialogue, the user is talking about taxi to come to backstreet bistro by 19:30. Key context: I need a taxi to come to backstreet bistro by 19:30; Where would you ... | {
"category": "finance_consumer",
"difficulty": "medium",
"intent_type": "information_request",
"subcategory": "budget_planning"
} | {
"is_high_quality": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"sft_ready": true,
"taxonomy_quality": "high"
} | {
"dataset": "MultiWOZ",
"id": "MultiWOZ_SNG01627.json",
"language": "en",
"license": ""
} | {
"created_by": "rule_based_pipeline_with_content_grounding",
"notes": null,
"release_version": "v0.4"
} |
End of preview. Expand in Data Studio
LifeTextMultiTurnStreamingCoT v0.4
Final professional public release — clean SFT schema, target field, canonical taxonomy.
Overview
- Modality: Text
- Turn Type: Multi Turn
- Version: v0.4
- License: apache-2.0
- Language: English
- HF Repo:
skyzhou06/LifeTextMultiTurnStreamingCoT
Row Counts
| Split | Rows |
|---|---|
| Train | 7,955 |
| Eval | 2,045 |
| High Quality Train | 4,690 |
| High Quality Eval | 1,233 |
| Total | 10,000 |
Schema (v0.4)
Top-Level Fields
| Field | Type | Description |
|---|---|---|
id |
string | Stable example ID |
split |
string | train or eval |
modality |
string | text |
turn_type |
string | multi_turn |
input |
object | Input data |
streaming |
object | Checkpoints with natural-language reasoning |
target |
object | Training target: reasoning, answer, response |
taxonomy |
object | Canonical content classification |
quality |
object | Quality assessment |
source |
object | Provenance |
metadata |
object | Release metadata |
target
{
"reasoning": "Natural-language reasoning summary.",
"answer": "The final answer.",
"response": "Reasoning: ...\n\nAnswer: ..."
}
target.answer— for answer-only SFTtarget.response— for reasoning-augmented SFT
taxonomy
Uses canonical enum categories: daily_life, travel, education, work_productivity, finance_consumer, health_wellness_safe, tech_support, information_extraction, creative_planning, social_communication.
quality
{
"is_high_quality": true,
"sft_ready": true,
"natural_reasoning": true,
"reasoning_quality": "high",
"taxonomy_quality": "high"
}
Changes from v0.3
outputrenamed totargetwithreasoning,answer,responsestreaming.traceremoved from active rowsmetadata.legacyblobs removed- Taxonomy mapped to canonical enum with fixed category/subcategory pairs
high_qualitysplit intohigh_quality_train/high_quality_evalmetadata.release_version="v0.4"
SFT Usage
from datasets import load_dataset
# Default config
ds = load_dataset("skyzhou06/LifeTextMultiTurnStreamingCoT")
# ds["train"]["target"]["response"] — reasoning + answer
# ds["train"]["target"]["answer"] — answer only
# High quality config
ds_hq = load_dataset("skyzhou06/LifeTextMultiTurnStreamingCoT", "high_quality")
Source Licenses
Dataset-level license: apache-2.0. Individual rows include source.license and source.dataset fields with source-specific license information.
Limitations
- Reasoning is rule-based (content-grounded)
- Some answers are brief closing phrases (check
quality.sft_ready) - Non-English examples not included
Citation
If you use this dataset, please cite the original source datasets and this release.
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