"""ReRelEM dataset""" import datasets import pandas as pd _CITATION = """ """ _DESCRIPTION = """ """ _URLS = { "train": "https://raw.githubusercontent.com/ruanchaves/rerelem/9de7c418879b010a8ca9940639cac900bd27d9fd/rerelem_train.csv", "validation": "https://raw.githubusercontent.com/ruanchaves/rerelem/9de7c418879b010a8ca9940639cac900bd27d9fd/rerelem_val.csv", "test": "https://raw.githubusercontent.com/ruanchaves/rerelem/9de7c418879b010a8ca9940639cac900bd27d9fd/rerelem_test.csv" } class ReRelEm(datasets.GeneratorBasedBuilder): VERSION = datasets.Version("1.0.0") def _info(self): return datasets.DatasetInfo( description=_DESCRIPTION, features=datasets.Features( { "docid": datasets.Value("string"), "sentence1": datasets.Value("string"), "sentence2": datasets.Value("string"), "label": datasets.Value("string"), "same_text": datasets.Value("bool"), }), supervised_keys=None, homepage="", citation=_CITATION, ) def _split_generators(self, dl_manager): downloaded_files = dl_manager.download(_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["validation"] } ), datasets.SplitGenerator( name=datasets.Split.TEST, gen_kwargs={ "filepath": downloaded_files["test"] } ) ] def _generate_examples(self, filepath): records = pd.read_csv(filepath).to_dict("records") for idx, row in enumerate(records): yield idx, row