EditPackFT is a dataset built for training LLMs on the task of instructional code editing. The mail columns are:
old_contents the code before the editinstruction the instruction to transform the before code into the after codenew_contents the code after the editcontent a pre-formatted training window that can be used to train an LLM with prompts in the format of: <before><instruction><after>This dataset has been filtered from CommitPackFT. For more detail, see our paper, and our GitHub repository.
If you use our work, please cite our paper as such:
@inproceedings{cassano2023edit,
title={{Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions}},
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},
booktitle={The First International Workshop on Large Language Model for Code},
year={2024},
url={https://arxiv.org/abs/2312.12450}
}
7 commits
EditPackFT is a dataset built for training LLMs on the task of instructional code editing. The mail columns are:
old_contents the code before the editinstruction the instruction to transform the before code into the after codenew_contents the code after the editcontent a pre-formatted training window that can be used to train an LLM with prompts in the format of: <before><instruction><after>This dataset has been filtered from CommitPackFT. For more detail, see our paper, and our GitHub repository.
If you use our work, please cite our paper as such:
@inproceedings{cassano2023edit,
title={{Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions}},
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},
booktitle={The First International Workshop on Large Language Model for Code},
year={2024},
url={https://arxiv.org/abs/2312.12450}
}
7 commits