README.md

---
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](https://arxiv.org/abs/2305.09857)
## Authors: Vipul Raheja, Dhruv Kumar, Ryan Koo, Dongyeop Kang
## Project Repo: [https://github.com/vipulraheja/coedit](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

# Data Splits
* Train: 82,466
* Validation: 

# 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}
}
```