|
--- |
|
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} |
|
} |
|
``` |
