ASSET Corpus

ASSET is a dataset for evaluating Sentence Simplification systems with multiple rewriting transformations, as described in "ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations".

The corpus is composed of 2000 validation and 359 test original sentences dataset/asset.{valid,test}.orig that were each simplified 10 times by different annotators dataset/asset.{valid.test}.simp.{0,1,2,3,4,5,6,7,8,9} (one sample per line).

We recommend that you evaluate your Text Simplification (TS) system using this dataset and traditional TS metrics with the EASSE package.

Authors

If you have any question, please contact the authors:
Fernando Alva-Manchego (f.alva@sheffield.ac.uk)
Louis Martin (louismartincs@gmail.com)

Citation

If you use our work, please cite:

@inproceedings{alva-manchego-etal-2020-asset,
    title = "{ASSET}: {A} Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations",
    author = "Alva-Manchego, Fernando  and
      Martin, Louis  and
      Bordes, Antoine  and
      Scarton, Carolina  and
      Sagot, Beno{\^\i}t  and
      Specia, Lucia",
    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2020.acl-main.424",
    pages = "4668--4679",
}

License

See the LICENSE file for more details.