crawlfeeds/Medium-Articles-Corpus

Medium Articles Corpus (10K Sample)

The Medium Articles Corpus is a massive, clean dataset of articles scraped from Medium.com. This sample version contains 10,000 articles + and is designed to showcase the quality and structure of the full corpus for researchers and developers. This is the subset from the large dataset https://crawlfeeds.com/websites/medium/text_data/medium_articles

Dataset Features

This dataset includes the following key features, provided in a single, well-structured CSV file:

• title: The headline of the article.
• content: The full body text of the article.
• tags: The topics and keywords associated with the article.
• author: The name of the article's author.
• date: The publication date of the article.
• claps: The number of claps (upvotes) the article received.

Use Cases

This dataset is ideal for:

• Language Model Prototyping: A manageable corpus for quickly testing and validating language model architectures.
• Topic Modeling: Discovering popular and emerging trends on the platform using unsupervised learning methods.
• Text Classification: Training small-scale models to automatically categorize articles by topic, genre, or sentiment.
• Exploratory Data Analysis: Getting a feel for the dataset's structure, quality, and content.

Dataset Structure

The data is provided in a single CSV file with the following columns:

Column Name	Description	Example
title	The article headline	"How I Built a Recommendation Engine"
content	The full article text	"In this article, I will..."
tags	Comma-separated list of tags	"AI, Machine Learning, Python"
author	The author's name	"Author Name"
date	Publication date	"2023-10-27"
claps	Number of claps	1500

How to Use

You can easily load this dataset using the Hugging Face datasets library.