| import json | |
| import datasets as ds | |
| _DESCRIPTION = """ | |
| Description of the dataset. | |
| """ | |
| _CITATION = """ | |
| Citation for the dataset. | |
| """ | |
| _LICENCE = """ | |
| License information for the dataset. | |
| """ | |
| _FEATURES = ds.Features({ | |
| "x": ds.Value(dtype="string"), | |
| "y": ds.Value(dtype="string") | |
| }) | |
| class GenMix50kConfig(ds.BuilderConfig): | |
| def __init__(self, **kwargs): | |
| super(GenMix50kConfig, self).__init__(**kwargs) | |
| self.version = ds.Version("1.0.3") | |
| self.features = _FEATURES | |
| self.citation = _CITATION | |
| class GenMix50k(ds.GeneratorBasedBuilder): | |
| BUILDER_CONFIGS = [ | |
| GenMix50kConfig(name="translation"), | |
| GenMix50kConfig(name="dialogue"), | |
| GenMix50kConfig(name="summarization") | |
| ] | |
| def _info(self) -> ds.DatasetInfo: | |
| """Returns the dataset metadata.""" | |
| return ds.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=self.config.features, | |
| citation=self.config.citation, | |
| license=_LICENCE, | |
| supervised_keys=None | |
| ) | |
| def _split_generators(self, dl_manager: ds.DownloadManager): | |
| """Returns SplitGenerators""" | |
| base_url = "https://huggingface.co/datasets/moon23k/GenMix50k/resolve/main/" | |
| data_files = { | |
| "translation": { | |
| "train": base_url + "translation/train.json", | |
| "validation": base_url + "translation/valid.json", | |
| "test": base_url + "translation/test.json" | |
| }, | |
| "dialogue": { | |
| "train": base_url + "dialogue/train.json", | |
| "validation": base_url + "dialogue/valid.json", | |
| "test": base_url + "dialogue/test.json" | |
| }, | |
| "summarization": { | |
| "train": base_url + "summarization/train.json", | |
| "validation": base_url + "summarization/valid.json", | |
| "test": base_url + "summarization/test.json" | |
| } | |
| } | |
| downloaded_files = dl_manager.download_and_extract(data_files[self.config.name]) | |
| return [ | |
| ds.SplitGenerator( | |
| name=ds.Split.TRAIN, | |
| gen_kwargs={"filepath": downloaded_files["train"]}, | |
| ), | |
| ds.SplitGenerator( | |
| name=ds.Split.VALIDATION, | |
| gen_kwargs={"filepath": downloaded_files["validation"]}, | |
| ), | |
| ds.SplitGenerator( | |
| name=ds.Split.TEST, | |
| gen_kwargs={"filepath": downloaded_files["test"]}, | |
| ), | |
| ] | |
| def _generate_examples(self, filepath): | |
| with open(filepath, encoding="utf-8") as f: | |
| data = json.load(f) | |
| for idx, example in enumerate(data): | |
| yield idx, example | |