| """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 |