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Datasets:
nglaura
/
koreascience-summarization

Tasks:
Summarization
Languages:
French
ArXiv:
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LoRaLay: A Multilingual and Multimodal Dataset for Long Range and Layout-Aware Summarization

A collaboration between reciTAL, MLIA (ISIR, Sorbonne Université), Meta AI, and Università di Trento

KoreaScience dataset for summarization

KoreaScience is a dataset for summarization of research papers written in Korean, for which layout information is provided.

Data Fields

  • article_id: article id
  • article_words: sequence of words constituting the body of the article
  • article_bboxes: sequence of corresponding word bounding boxes
  • norm_article_bboxes: sequence of corresponding normalized word bounding boxes
  • abstract: a string containing the abstract of the article
  • article_pdf_url: URL of the article's PDF

Data Splits

This dataset has 3 splits: train, validation, and test.

Dataset Split Number of Instances
Train 35,248
Validation 1,125
Test 1,125

Citation 

@article{nguyen2023loralay,
  title={LoRaLay: A Multilingual and Multimodal Dataset for Long Range and Layout-Aware Summarization},
  author={Nguyen, Laura and Scialom, Thomas and Piwowarski, Benjamin and Staiano, Jacopo},
  journal={arXiv preprint arXiv:2301.11312},
  year={2023}
}
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