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--- |
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license: apache-2.0 |
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task_categories: |
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- text-classification |
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- summarization |
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- text-generation |
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language: |
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- pl |
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size_categories: |
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- 100K<n<1M |
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--- |
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This dataset contains more than 250k articles obtained from polish news site `tvp.info.pl`. |
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Main purpouse of collecting the data was to create a transformer-based model for text summarization. |
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Columns: |
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* `link` - link to article |
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* `title` - original title of the article |
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* `headline` - lead/headline of the article - first paragraph of the article visible directly from the page |
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* `content` - full textual contents of the article |
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Link to original repo: https://github.com/WiktorSob/scraper-tvp |
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Download the data: |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("WiktorS/polish-news") |
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``` |
