agentlans/grammar-correction
grammar-correction Dataset Summary The grammar-correction dataset is a refined subset of the liweili/c4_200m dataset, derived from Google's C4_200M Synthetic Dataset for Grammatical Error Correction. It contains sentence pairs where the input is ungrammatical and the output is grammatical, making it suitable for training grammatical error correction (GEC) models. Dataset Structure Train set: 100 000 entries Validation set: 25 000 entries… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/grammar-correction.
| Author / organization | agentlans |
|---|---|
| Downloads | 370 (as reported by Hugging Face) |
| Likes | 11 |
| Created | 29 December 2024 |
| Last updated at source | 29 December 2024 |
Popularity, last 3 days
370 now (+37 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- redromnon/LFM2-700M-grammar-correctionModel · used to train
- thealper2/t5-efficient-base-grammar-correctionModel · used to train
More from agentlans
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.