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.
If you have any question, please contact the authors:
Fernando Alva-Manchego (f.alva@sheffield.ac.uk)
Louis Martin (louismartincs@gmail.com)
If you use our work, please cite:
@inproceedings{alvamanchego2020asset,
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, Benoît and Specia, Lucia},
booktitle={Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
year={2020}
}See the LICENSE file for more details.