Create README

README

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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.