gaydmi/yasalmaGEC

YasalmaGEC: Tatar grammatical error correction with error annotations 649 manually corrected Tatar documents with 3,620 annotated corrections in 26 error types. The layout follows UA-GEC: document-level source and target, inline annotations, and error types grouped into coarse categories. On top of that, every rewrite is aligned to the word level so you can train token classification models, and an M2 block is included for ERRANT / M2Scorer evaluation. Columns (one… See the full description on the dataset page: https://huggingface.co/datasets/gaydmi/yasalmaGEC.

<iframe src="https://silytics.si/embed/item/84375ffb-433a-446c-be17-7aa24feb97a0" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 7 November 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.