| --- |
| dataset_info: |
| features: |
| - name: input |
| dtype: string |
| - name: output |
| dtype: string |
| splits: |
| - name: validation |
| num_bytes: 20569417 |
| num_examples: 18816 |
| - name: train |
| num_bytes: 164564740 |
| num_examples: 150523 |
| - name: test |
| num_bytes: 20670941 |
| num_examples: 18815 |
| download_size: 77171034 |
| dataset_size: 205805098 |
| --- |
| # Dataset Card for "AGraw_finetuning" |
| |
| ## Reference |
| <pre><code>@article{Mastropaolo2022TransferLearningForCodeRelatedTasks |
| title={Using Transfer Learning for Code-Related Tasks}, |
| author={Mastropaolo, Antonio and Cooper, Nathan and Nader Palacio, David and Scalabrino, Simone and |
| Poshyvanyk, Denys and Oliveto, Rocco and Bavota, Gabriele}, |
| journal={arXiv preprint arXiv:2206.08574}, |
| year={2022} |
| }</code></pre> |
