Sign inGet started
Dataset · Hugging Face

grammarly/medit

Dataset Card for mEdIT: Multilingual Text Editing via Instruction Tuning Paper: mEdIT: Multilingual Text Editing via Instruction Tuning Authors: Vipul Raheja, Dimitris Alikaniotis, Vivek Kulkarni, Bashar Alhafni, Dhruv Kumar Project Repo: https://github.com/vipulraheja/medit Dataset Summary This is the dataset that was used to train the mEdIT text editing models. Full details of the dataset can be found in our paper.… See the full description on the dataset page: https://huggingface.co/datasets/grammarly/medit.

Author / organizationgrammarly
License (as declared)cc-by-nc-4.0
Downloads192 (as reported by Hugging Face)
Likes14
Created15 April 2024
Last updated at source1 October 2024
gecsimplificationparaphrasingesdearenjakozhmultilingual
Embed this entry
<iframe src="https://silytics.si/embed/item/bc1689f5-3ca8-4b66-8d07-3faa4be28fc9" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Recent changes

  • 16 Oct 2026 Description: Dataset Card for mEdIT: Multilingual Text Editing via Instruction Tuning Paper: mEdIT: Multilingual Text Editing via Instruction Tuning Authors: Vipul Raheja, Dimitris Alikaniotis, Vivek Kulkarni, Bashar Alhafni, Dhruv Kumar Project Repo: h → Dataset Card for mEdIT: Multilingual Text Editing via Instruction Tuning Paper: mEdIT: Multilingual Text Editing via Instruction Tuning Authors: Vipul Raheja, Dimitris Alikaniotis, Vivek Kulkarni, Bashar Alhafni, Dhruv Kumar Project Repo: h

Changes detected by Silytics between refreshes of the source.

More from grammarly

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.