grammarly/spivavtor
Dataset Card for Spivavtor Paper: Spivavtor: An Instruction Tuned Ukrainian Text Editing Model Authors: Aman Saini, Artem Chernodub, Vipul Raheja, Vivek Kulkarni Dataset Summary This is the dataset used to train all Spivavtor models. It contains data for 4 tasks - Grammatical Error Correction (GEC), Simplification, Coherence and Paraphrasing. The specific details are as follows: Task Examples in Training data Examples… See the full description on the dataset page: https://huggingface.co/datasets/grammarly/spivavtor.
| Author / organization | grammarly |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 180 (as reported by Hugging Face) |
| Likes | 5 |
| Created | 29 March 2024 |
| Last updated at source | 5 February 2025 |
Popularity, last 3 days
180 now (-1 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- mradermacher/spivavtor-large-GGUFModel · used to train
Recent changes
- 16 Oct 2026 Description: Dataset Card for Spivavtor Paper: Spivavtor: An Instruction Tuned Ukrainian Text Editing Model Authors: Aman Saini, Artem Chernodub, Vipul Raheja, Vivek Kulkarni Dataset Summary This is the dataset used to train all Spivavtor models. It con → Dataset Card for Spivavtor Paper: Spivavtor: An Instruction Tuned Ukrainian Text Editing Model Authors: Aman Saini, Artem Chernodub, Vipul Raheja, Vivek Kulkarni Dataset Summary This is the dataset used to train all Spivavtor models. It con
Changes detected by Silytics between refreshes of the source.
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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 Information may be incomplete or out of date.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.