Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
ArXiv:
License:
Commit
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README.md
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pretty_name: coedit
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pretty_name: coedit
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size_categories:
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---
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# Dataset Card for CoEdIT: Text Editing via Instruction Tuning
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## Paper: [CoEdIT: Text Editing by Task-Specific Instruction Tuning](https://arxiv.org/abs/2305.09857)
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## Authors: Vipul Raheja, Dhruv Kumar, Ryan Koo, Dongyeop Kang
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## Project Repo: [https://github.com/vipulraheja/coedit](https://github.com/vipulraheja/coedit)
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## Dataset Summary
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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.
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# Dataset Structure
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The dataset is in JSON format.
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## Data Instances
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```
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{
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'_id': 1,
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'task': "gec",
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'src': "Improve the grammaticality: As the number of people grows, the need of habitable environment is unquestionably essential.",
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'tgt': "As the number of people grows, the need for a habitable environment is unquestionably increasing."
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}
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```
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## Data Fields
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* `_id`:
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* `task`: Text editing task for this instance
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* `src`: input text (formatted as `instruction: input_text`)
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* `tgt`: output text
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# Data Splits
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* Train: 82,466
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* Validation:
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# Citation
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```
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@article{raheja2023coedit,
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title={CoEdIT: Text Editing by Task-Specific Instruction Tuning},
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author={Vipul Raheja and Dhruv Kumar and Ryan Koo and Dongyeop Kang},
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year={2023},
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eprint={2305.09857},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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