| import json | |
| from typing import List | |
| import datasets | |
| logger = datasets.logging.get_logger(__name__) | |
| class Test(datasets.GeneratorBasedBuilder): | |
| _HOMEPAGE = "https://huggingface.co/datasets/nateraw/test/" | |
| _URL = "https://huggingface.co/datasets/nateraw/test/raw/main/" | |
| _URLS = { | |
| "train": _URL + "train.json", | |
| "dev": _URL + "dev.json", | |
| } | |
| _DESCRIPTION = "A test!" | |
| _CITATION = None | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description=self._DESCRIPTION, | |
| features=datasets.Features( | |
| { | |
| "id": datasets.Value("string"), | |
| "text": datasets.Value("string"), | |
| } | |
| ), | |
| supervised_keys=None, | |
| homepage=self._HOMEPAGE, | |
| citation=self._CITATION, | |
| ) | |
| def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]: | |
| urls_to_download = self._URLS | |
| downloaded_files = dl_manager.download_and_extract(urls_to_download) | |
| return [ | |
| datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}), | |
| datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}), | |
| ] | |
| def _generate_examples(self, filepath): | |
| """This function returns the examples in the raw (text) form.""" | |
| logger.info("generating examples from = %s", filepath) | |
| with open(filepath) as f: | |
| content = json.load(f) | |
| for example in content['data']: | |
| example_id = example.get('id', "").strip() | |
| text = example.get('text', "").strip() | |
| yield example_id, { | |
| "id": example_id, | |
| "text": text | |
| } | |