Datasets:
Languages:
English
Multilinguality:
monolingual
Size Categories:
n<1K
Language Creators:
found
Annotations Creators:
expert-generated
Source Datasets:
original
Tags:
License:
| import datasets | |
| _CITATION = """\ | |
| """ | |
| _DESCRIPTION = """\ | |
| This is a test dataset. | |
| """ | |
| _URLS = { | |
| "train": "https://huggingface.co/datasets/lhoestq/test/resolve/main/another_text.txt", # absolute | |
| "dev": "some_text.txt", # relative | |
| } | |
| class Test(datasets.GeneratorBasedBuilder): | |
| """SQUAD: The Stanford Question Answering Dataset. Version 1.1.""" | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=datasets.Features( | |
| { | |
| "text": datasets.Value("string"), | |
| } | |
| ), | |
| supervised_keys=None, | |
| homepage="https://huggingface.co/datasets/lhoestq/test", | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| downloaded_files = dl_manager.download_and_extract(_URLS) | |
| 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.""" | |
| for _id, line in enumerate(open(filepath, encoding="utf-8")): | |
| yield _id, {"text": line.rstrip()} | |