GEM/mlsum

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The dataset card's licence name or licence section contains wording that suggests non-commercial, research-only or academic-only use restrictions.

Declared licence: other, from the tagEvidence: README.md at 8a22421
Licence files: No licence file at the top level of the repositoryEvidence: file list at 8a22421
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Tasks

summarization

Citation text from the card

@inproceedings{scialom-etal-2020-mlsum,
    title = "{MLSUM}: The Multilingual Summarization Corpus",
    author = "Scialom, Thomas  and
      Dray, Paul-Alexis  and
      Lamprier, Sylvain  and
      Piwowarski, Benjamin  and
      Staiano, Jacopo",
    booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)",
    month = nov,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2020.emnlp-main.647",
    doi = "10.18653/v1/2020.emnlp-main.647",
    pages = "8051--8067",
    abstract = "We present MLSUM, the first large-scale MultiLingual SUMmarization dataset. Obtained from online newspapers, it contains 1.5M+ article/summary pairs in five different languages {--} namely, French, German, Spanish, Russian, Turkish. Together with English news articles from the popular CNN/Daily mail dataset, the collected data form a large scale multilingual dataset which can enable new research directions for the text summarization community. We report cross-lingual comparative analyses based on state-of-the-art systems. These highlight existing biases which motivate the use of a multi-lingual dataset.",
}

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dataset_licence({ "id": "GEM/mlsum" })
signal: "restrictive"
stated_licence: "other"
sources: 0