| """MCoNaLa dataset.""" | |
| import json | |
| import datasets | |
| _CITATION = """\ | |
| @article{wang2022mconala, | |
| title={MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages}, | |
| author={Zhiruo Wang, Grace Cuenca, Shuyan Zhou, Frank F. Xu, Graham Neubig}, | |
| journal={arXiv preprint arXiv:2203.08388}, | |
| year={2022} | |
| } | |
| """ | |
| _DESCRIPTION = """\ | |
| MCoNaLa is a Multilingual Code/Natural Language Challenge dataset with | |
| 896 NL-Code pairs in three languages: Spanish, Japanese, and Russian. | |
| """ | |
| _HOMEPAGE = "https://github.com/zorazrw/multilingual-conala" | |
| _URLs = { | |
| "es": "es_test.json", | |
| "ja": "ja_test.json", | |
| "ru": "ru_test.json", | |
| } | |
| class MCoNaLa(datasets.GeneratorBasedBuilder): | |
| """MCoNaLa NL-to-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({"question_id": datasets.Value("int64"), | |
| "intent": datasets.Value("string"), | |
| "rewritten_intent": datasets.Value("string"), | |
| "snippet": 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): | |
| dataset = json.load(open(filepath, encoding="utf-8")) | |
| for key, line in enumerate(dataset): | |
| yield key, line |