| """Odex dataset.""" |
|
|
| import json |
| import datasets |
|
|
|
|
| _CITATION = """\ |
| @article{wang2022execution, |
| title={Execution-Based Evaluation for Open-Domain Code Generation}, |
| author={Wang, Zhiruo and Zhou, Shuyan and Fried, Daniel and Neubig, Graham}, |
| journal={arXiv preprint arXiv:2212.10481}, |
| year={2022} |
| } |
| """ |
|
|
| _DESCRIPTION = """\ |
| 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. |
| """ |
|
|
| _HOMEPAGE = "https://github.com/zorazrw/odex" |
| _URLs = { |
| "en": "en_test.jsonl", |
| "es": "es_test.jsonl", |
| "ja": "ja_test.jsonl", |
| "ru": "ru_test.jsonl", |
| } |
|
|
| class Odex(datasets.GeneratorBasedBuilder): |
| """ODEX Code dataset.""" |
|
|
| VERSION = datasets.Version("1.0.0") |
|
|
|
|
| BUILDER_CONFIGS = [ |
| datasets.BuilderConfig( |
| name=lang, |
| version=datasets.Version("1.0.0"), |
| description=_DESCRIPTION, |
| ) for lang in _URLs.keys() |
| ] |
|
|
| DEFAULT_CONFIG_NAME = "en" |
| |
| |
| def _info(self): |
| features = datasets.Features({"task_id": datasets.Value("int64"), |
| "prompt": datasets.Value("string"), |
| "suffix": datasets.Value("string"), |
| "canonical_solution": datasets.Value("string"), |
| "test_start": datasets.Value("string"), |
| "test": datasets.Sequence(datasets.Value("string")), |
| "entry_point": datasets.Value("string"), |
| "intent": datasets.Value("string"), |
| "library": datasets.Sequence(datasets.Value("string")), |
| }) |
| return datasets.DatasetInfo( |
| description=_DESCRIPTION, |
| features=features, |
| supervised_keys=None, |
| citation=_CITATION, |
| homepage=_HOMEPAGE) |
|
|
| def _split_generators(self, dl_manager): |
| """Returns SplitGenerators.""" |
| config_urls = _URLs[self.config.name] |
| data_dir = dl_manager.download_and_extract(config_urls) |
| return [ |
| datasets.SplitGenerator( |
| name=datasets.Split.TEST, |
| gen_kwargs={"filepath": data_dir, "split": "train"}, |
| ), |
| ] |
|
|
|
|
| def _generate_examples(self, filepath, split): |
| key = 0 |
| for line in open(filepath, encoding="utf-8"): |
| line = json.loads(line) |
| yield key, line |
| key += 1 |
