README.md

metadata

license: apache-2.0
task_categories:
  - text-generation
language:
  - en
pretty_name: coedit
size_categories:
  - 10K<n<100K

Dataset Card for CoEdIT: Text Editing via Instruction Tuning

Paper: CoEdIT: Text Editing by Task-Specific Instruction Tuning

Authors: Vipul Raheja, Dhruv Kumar, Ryan Koo, Dongyeop Kang

Project Repo: https://github.com/vipulraheja/coedit

Dataset Summary

This is the dataset that was used to train the CoEdIT text editing models. Full details of the dataset can be found in our paper.

Dataset Structure

The dataset is in JSON format.

Data Instances

{
  '_id': 1,
  'task': "gec",
  'src': "Improve the grammaticality: As the number of people grows, the need of habitable environment is unquestionably essential.",
  'tgt': "As the number of people grows, the need for a habitable environment is unquestionably increasing."
}

Data Fields

• _id:
• task: Text editing task for this instance
• src: input text (formatted as instruction: input_text)
• tgt: output text

Citation

@article{raheja2023coedit,
      title={CoEdIT: Text Editing by Task-Specific Instruction Tuning}, 
      author={Vipul Raheja and Dhruv Kumar and Ryan Koo and Dongyeop Kang},
      year={2023},
      eprint={2305.09857},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}