Datasets › XL-Sum

XL-Sum

Introduced by Tahmid Hasan et al. in XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages25 Jun 2021 archive 2025-07-28

XL-Sum is a comprehensive and diverse dataset for abstractive summarization comprising 1 million professionally annotated article-summary pairs from BBC, extracted using a set of carefully designed heuristics. The dataset covers 44 languages ranging from low to high-resource, for many of which no public dataset is currently available. XL-Sum is highly abstractive, concise, and of high quality, as indicated by human and intrinsic evaluation.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 64 papers for it but never published that list.

Dataset loaders archive 2025-07-28

7 loaders as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

Custom (non-commercial)

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • XL-Sum
  • csebuetnlp/xlsum russian

2 variant names, as the archive lists them.

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