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@@ -55,4 +55,17 @@ EditPackFT is a dataset built for training LLMs on the task of instructional cod
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  3. `new_contents` the code after the edit
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  4. `content` a pre-formatted training window that can be used to train an LLM with prompts in the format of: `<before><instruction><after>`
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- This dataset has been filtered from CommitPackFT. For more detail, [see our paper](https://federico.codes/assets/papers/canitedit.pdf), and our [GitHub repository](https://github.com/nuprl/CanItEdit/tree/main/editpackft).
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  3. `new_contents` the code after the edit
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  4. `content` a pre-formatted training window that can be used to train an LLM with prompts in the format of: `<before><instruction><after>`
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+ This dataset has been filtered from CommitPackFT. For more detail, [see our paper](https://arxiv.org/abs/2312.12450), and our [GitHub repository](https://github.com/nuprl/CanItEdit/tree/main/editpackft).
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+
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+ ## Citation
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+ If you use our work, please cite our paper as such:
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+ ```
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+ @misc{cassano2023edit,
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+ title={Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions},
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+ author={Federico Cassano and Luisa Li and Akul Sethi and Noah Shinn and Abby Brennan-Jones and Anton Lozhkov and Carolyn Jane Anderson and Arjun Guha},
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+ year={2023},
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+ eprint={2312.12450},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.SE}
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+ }
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+ ```