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castorini/wura

877 downloads in 30 days15 likesLast modified 11 Dec 2023View on Hugging Face
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The declared licence (apache-2.0) is classified as permissive.

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apache-2.0, from the tagEvidence: README.md at 1d4bcb8
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Citation text from the card

@inproceedings{oladipo-etal-2023-better,
    title = "Better Quality Pre-training Data and T5 Models for {A}frican Languages",
    author = "Oladipo, Akintunde  and
      Adeyemi, Mofetoluwa  and
      Ahia, Orevaoghene  and
      Owodunni, Abraham  and
      Ogundepo, Odunayo  and
      Adelani, David  and
      Lin, Jimmy",
    editor = "Bouamor, Houda  and
      Pino, Juan  and
      Bali, Kalika",
    booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing",
    month = dec,
    year = "2023",
    address = "Singapore",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.emnlp-main.11",
    pages = "158--168",
    abstract = "In this study, we highlight the importance of enhancing the quality of pretraining data in multilingual language models. Existing web crawls have demonstrated quality issues, particularly in the context of low-resource languages. Consequently, we introduce a new multilingual pretraining corpus for 16 African languages, designed by carefully auditing existing pretraining corpora to understand and rectify prevalent quality issues. To compile this dataset, we undertake a rigorous examination of current data sources for thirteen languages within one of the most extensive multilingual web crawls, mC4, and extract cleaner data through meticulous auditing and improved web crawling strategies. Subsequently, we pretrain a new T5-based model on this dataset and evalua

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dataset_licence({ "id": "castorini/wura" })
signal: "permissive"
stated_licence: "apache-2.0"
sources: 0