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+ # Dataset Card for CoEdIT: Text Editing via Instruction Tuning
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+
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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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+
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+
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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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+
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+
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+ # Dataset Structure
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+ The dataset is in JSON format.
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+
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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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+
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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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+
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+ # Data Splits
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+ * Train: 82,466
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+ * Validation:
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+
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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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+ ```