Datasets with typos for testing LEA (https://arxiv.org/abs/2307.02912)

<p>Datasets for testing the generalization capacity of LEA in the presence of typos. Link to the paper: https://arxiv.org/abs/2307.02912</p> <p>Below is a list of raw public datasets and different versions of test splits to which automatically synthetically generated typos have been added by deleting and replacing characters.</p> <ul> <li>Abt-Buy</li> <li>Amazon-Google</li> <li>WDC-Computers (small, medium, large and xlarge)</li> <li>WDC-All (xlarge)</li> <li>RTE</li> <li>MRPC</li> </ul> <p>&nbsp;</p> <p>Reference:</p> <p>Almagro, M., Almaz&aacute;n, E., Ortego, D., &amp; Jim&eacute;nez, D. (2023, August). LEA: Improving Sentence Similarity Robustness to Typos Using Lexical Attention Bias. In&nbsp;<em>Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining</em> (pp. 36-46).</p>