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| Name | Data Info | Download Link |
|---|---|---|
| Stage1 | Pre-training on C4 synthetic data with 200M scale | CDA4GEC/tree/main/stage1_checkpoint_best.pt |
| Stage2+ | Fine-tuning on the augmented Lang8, NUCLE, FCE and W&I+L datasets | CDA4GEC/tree/main/stage2_checkpoint_best.pt |
| Stage3+ | Continue fine-tuning on the augmented W&I+L dataset | CDA4GEC/tree/main/stage3_checkpoint_best.pt |
We only release the synthetic pseudo-data, please follow the official process to apply for the original annotated data.
| DataInfo | Amount | Source | Path |
|---|---|---|---|
| stage2+ | 2M | Lang-8 & NUCLE & FCE & W&I+L | CDA4GEC/tree/main/pseudo/stage2 |
| stage3+ | 200K | W&I+L | CDA4GEC/tree/main/pseudo/stage3 |
@inproceedings{wang-etal-2024-improving-grammatical,
title = "Improving Grammatical Error Correction via Contextual Data Augmentation",
author = "Wang, Yixuan and
Wang, Baoxin and
Liu, Yijun and
Zhu, Qingfu and
Wu, Dayong and
Che, Wanxiang",
editor = "Ku, Lun-Wei and
Martins, Andre and
Srikumar, Vivek",
booktitle = "Findings of the Association for Computational Linguistics ACL 2024",
month = aug,
year = "2024",
address = "Bangkok, Thailand and virtual meeting",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.findings-acl.647",
pages = "10898--10910",
}