| | --- |
| | license: cc-by-sa-4.0 |
| | task_categories: |
| | - text2text-generation |
| | - text-generation |
| | language: |
| | - en |
| | - es |
| | - ja |
| | - ru |
| | size_categories: |
| | - n<1K |
| | --- |
| | |
| | __ODEX__ is an Open-Domain EXecution-based NL-to-Code generation data benchmark. |
| | It contains 945 samples with a total of 1,707 human-written test cases, covering intents in four different natural languages -- 439 in English, 90 in Spanish, 164 in Japanese, and 252 in Russian. |
| |
|
| |
|
| | You can load the dataset by specifying a subset from *en, es, ja, ru* (by default the english subset *en* is loaded): |
| | ```python |
| | from datasets import load_dataset |
| | |
| | ds = load_dataset("neulab/odex", "ja", split="test") |
| | ``` |
| |
|
| | If you find our dataset useful, please cite the paper |
| |
|
| | ``` |
| | @article{wang2022execution, |
| | title={Execution-Based Evaluation for Open-Domain Code Generation}, |
| | author={Zhiruo Wang, Shuyan Zhou, Daniel Fried, Graham Neubig}, |
| | journal={arXiv preprint arXiv:2212.10481}, |
| | year={2022} |
| | } |
| | ``` |
