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@@ -16,7 +16,50 @@ tags:
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  - blog-posts
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  - large-scale
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  - english
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- pretty_name: Medium Articles Corpus
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  size_categories:
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- - 1K<n<10K
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - blog-posts
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  - large-scale
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  - english
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+ pretty_name: Medium Articles Corpus (10K Sample)
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  size_categories:
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+ - 10K<n<100K
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+ ---
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+
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+ # Medium Articles Corpus (10K Sample)
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+ 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.
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+ ### Dataset Features
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+ This dataset includes the following key features, provided in a single, well-structured CSV file:
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+ - **`title`**: The headline of the article.
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+ - **`content`**: The full body text of the article.
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+ - **`tags`**: The topics and keywords associated with the article.
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+ - **`author`**: The name of the article's author.
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+ - **`date`**: The publication date of the article.
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+ - **`claps`**: The number of claps (upvotes) the article received.
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+ - **`comments`**: The number of comments on the article.
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+
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+ ### Use Cases
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+ This dataset is ideal for:
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+ - **Language Model Prototyping:** A manageable corpus for quickly testing and validating language model architectures.
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+ - **Topic Modeling:** Discovering popular and emerging trends on the platform using unsupervised learning methods.
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+ - **Text Classification:** Training small-scale models to automatically categorize articles by topic, genre, or sentiment.
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+ - **Exploratory Data Analysis:** Getting a feel for the dataset's structure, quality, and content.
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+ ### Dataset Structure
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+ The data is provided in a single CSV file with the following columns:
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+ | Column Name | Description | Example |
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+ |-------------|------------------------------------------------|---------------------------------------|
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+ | `title` | The article headline | "How I Built a Recommendation Engine" |
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+ | `content` | The full article text | "In this article, I will..." |
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+ | `tags` | Comma-separated list of tags | "AI, Machine Learning, Python" |
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+ | `author` | The author's name | "Jane Doe" |
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+ | `date` | Publication date | "2023-10-27" |
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+ | `claps` | Number of claps | 1500 |
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+ | `comments` | Number of comments | 50 |
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+
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+ ### How to Use
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+ You can easily load this dataset using the Hugging Face `datasets` library.