Simplification Data

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Revision as of 13:59, 17 May 2024 by Vincent (talk | contribs) (Created page with "==ASSET Simplification Corpus== The ASSET simplification corpus (Alva-Manchego et al, 2020) was automatically translated to Dutch (Seidl et al., 2023), and is freely available. *[https://github.com/tsei902/simplify_dutch/tree/main/resources/datasets/asset Github download] * <small>Alva-Manchego, F., Martin, L., Bordes, A., Scarton, C., Sagot, B., & Specia, L. (2020). ASSET: A dataset for tuning and evaluation of sentence simplification models with multiple rewriting tra...")
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ASSET Simplification Corpus

The ASSET simplification corpus (Alva-Manchego et al, 2020) was automatically translated to Dutch (Seidl et al., 2023), and is freely available.

  • Github download
  • Alva-Manchego, F., Martin, L., Bordes, A., Scarton, C., Sagot, B., & Specia, L. (2020). ASSET: A dataset for tuning and evaluation of sentence simplification models with multiple rewriting transformations. arXiv preprint arXiv:2005.00481.
  • Seidl, T., Vandeghinste, V., & Van de Cruys, T. (2023). Controllable Sentence Simplification in Dutch. KU Leuven. Faculteit Ingenieurswetenschappen.

Wikilarge Dataset

Automatic translation of the Wikilarge dataset, useful for automatic simplification (Seidl et al., 2023), freely available. Original dataset from Zhang & Lapata

  • Github download
  • Seidl, T., Vandeghinste, V., & Van de Cruys, T. (2023). Controllable Sentence Simplification in Dutch. KU Leuven. Faculteit Ingenieurswetenschappen.
  • Zhang, X. & Lapata, M. (2017). Sentence Simplification with Deep Reinforcement Learning. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pages 584–594, Copenhagen, Denmark. Association for Computational Linguistics.

Comparable Corpus Wablieft De Standaard

UWV Leesplank NL wikipedia

The set contains 2,391,206 pragraphs of prompt/result combinations, where the prompt is a paragraph from Dutch Wikipedia and the result is a simplified text, which could include more than one paragraph. This dataset was created by UWV, as a part of project "Leesplank", an effort to generate datasets that are ethically and legally sound.