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---
license: cc-by-sa-3.0
task_categories:
- text-classification
- text-generation
- summarization
language:
- en
tags:
- medium
- medium articles
- nlp
- corpus
- web-scraped
- text
- blog-posts
- large-scale
- english
pretty_name: Medium Articles Corpus (10K Sample)
size_categories:
- 10K<n<100K
---
# 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/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. |