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The XL-Sum (Cross-Lingual Summarization) dataset is a large-scale, multilingual dataset designed for the task of abstractive summarization. It consists of 1.35 million professionally written article-summary pairs, curated from BBC News articles in 44 languages.

Dataset Overview

Languages: 44 total, including low-resource languages like Amharic, Hausa, Sinhala, and more
Size: ~1.35 million article-summary pairs
Annotation: Human-written summaries that are concise and high-quality

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Dataset Overview

Languages: 44 total, including low-resource languages like Amharic, Hausa, Sinhala, and more
Size: ~1.35 million article-summary pairs
Annotation: Human-written summaries that are concise and high-quality

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Dataset Overview

Languages: 44 total, including low-resource languages like Amharic, Hausa, Sinhala, and more
Size: ~1.35 million article-summary pairs
Annotation: Human-written summaries that are concise and high-quality

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