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--- |
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pretty_name: "XSum" |
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license: "unknown" |
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language: |
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- en |
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tags: |
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- summarization |
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- news |
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- text |
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task_categories: |
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- summarization |
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--- |
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This repository hosts a copy of the **XSum (Extreme Summarization)** dataset, |
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a benchmark for single-sentence abstractive summarization of news articles. |
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Each example typically contains a news article and a one-sentence summary. |
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Typical splits: |
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- `train` |
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- `validation` |
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- `test` |
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A typical entry contains: |
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```json |
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{ |
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"document": "...", |
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"summary": "...", |
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"id": "..." |
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} |
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``` |
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```python |
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from datasets import load_dataset |
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ds = load_dataset("EdinburghNLP/xsum") |
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``` |
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This dataset is taken from the Hugging Face dataset repository: |
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https://huggingface.co/datasets/EdinburghNLP/xsum |
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The Hugging Face dataset card lists the license as **unknown**. |
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Please review the dataset’s original sources and terms of use before redistribution or commercial use. |
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