---
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.