Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
parquet
Languages:
code
Size:
10K - 100K
ArXiv:
Tags:
code
License:
Update README.md
Browse files
README.md
CHANGED
@@ -55,4 +55,17 @@ EditPackFT is a dataset built for training LLMs on the task of instructional cod
|
|
55 |
3. `new_contents` the code after the edit
|
56 |
4. `content` a pre-formatted training window that can be used to train an LLM with prompts in the format of: `<before><instruction><after>`
|
57 |
|
58 |
-
This dataset has been filtered from CommitPackFT. For more detail, [see our paper](https://
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
55 |
3. `new_contents` the code after the edit
|
56 |
4. `content` a pre-formatted training window that can be used to train an LLM with prompts in the format of: `<before><instruction><after>`
|
57 |
|
58 |
+
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).
|
59 |
+
|
60 |
+
## Citation
|
61 |
+
If you use our work, please cite our paper as such:
|
62 |
+
```
|
63 |
+
@misc{cassano2023edit,
|
64 |
+
title={Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions},
|
65 |
+
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},
|
66 |
+
year={2023},
|
67 |
+
eprint={2312.12450},
|
68 |
+
archivePrefix={arXiv},
|
69 |
+
primaryClass={cs.SE}
|
70 |
+
}
|
71 |
+
```
|