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