Repository: google-research-datasets/C4_200M-synthetic-dataset-for-grammatical-error-correction
Description: This dataset contains synthetic training data for grammatical error correction. The corpus is generated by corrupting clean sentences from C4 using a tagged corruption model. The approach and the dataset are described in more detail by Stahlberg and Kumar (2021) (https://www.aclweb.org/anthology/2021.bea-1.4/)
Languages: Python
Stars: 160
License: Creative Commons Attribution 4.0 International