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README.md
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# Flipboard Articles Classification Dataset
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This dataset contains a collection of 2,300 articles sourced from Flipboard, organized for a text classification task. Each article is labeled with a primary category, which can be used for training machine learning models to classify articles into predefined categories.
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## Dataset Structure
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The dataset includes the following columns:
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- **Title**: The title of the article.
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- **Link**: The URL to the article.
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- **Categories**: A list of categories that the article belongs to.
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- **Primary_Category**: The main category assigned to the article.
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## Example Row
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| Title | Link | Categories | Primary_Category |
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|-----------------------------------|--------------------------------------------------|----------------------------------|------------------|
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| Example Article Title | https://www.example.com/article1 | Tech, Science, Innovation | Tech |
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## Usage
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This dataset is ideal for training text classification models, particularly for tasks like news categorization or content recommendation.
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## License
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This dataset is released under a free license for public use. You are free to use, share, and adapt the content, even for commercial purposes. However, please ensure to mention Karim Tarek as the original creator when using this dataset.
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filtered_flipboard_articles_ready_for_autotrain.csv
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