import json from itertools import product import datasets logger = datasets.logging.get_logger(__name__) _DESCRIPTION = """T-Rex dataset.""" _NAME = "t_rex" _VERSION = "1.0.4" _CITATION = """ @inproceedings{elsahar2018t, title={T-rex: A large scale alignment of natural language with knowledge base triples}, author={Elsahar, Hady and Vougiouklis, Pavlos and Remaci, Arslen and Gravier, Christophe and Hare, Jonathon and Laforest, Frederique and Simperl, Elena}, booktitle={Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year={2018} } """ _HOME_PAGE = "https://github.com/asahi417/relbert" _URL = f'https://huggingface.co/datasets/relbert/{_NAME}/resolve/main/data' _URLS = { str(datasets.Split.TRAIN): [f'{_URL}/t_rex.filter_unified.min_entity_5.train.jsonl'], str(datasets.Split.VALIDATION): [f'{_URL}/t_rex.filter_unified.min_entity_5.validation.jsonl'], str(datasets.Split.TEST): [f'{_URL}/t_rex.filter_unified.test.jsonl'] } class TREXConfig(datasets.BuilderConfig): """BuilderConfig""" def __init__(self, **kwargs): """BuilderConfig. Args: **kwargs: keyword arguments forwarded to super. """ super(TREXConfig, self).__init__(**kwargs) class TREX(datasets.GeneratorBasedBuilder): """Dataset.""" BUILDER_CONFIGS = [TREXConfig(name=_NAME, version=datasets.Version(_VERSION), description=_DESCRIPTION)] def _split_generators(self, dl_manager): downloaded_file = dl_manager.download_and_extract(_URLS) return [datasets.SplitGenerator(name=i, gen_kwargs={"filepaths": downloaded_file[str(i)]}) for i in [datasets.Split.TRAIN, datasets.Split.VALIDATION, datasets.Split.TEST]] def _generate_examples(self, filepaths): _key = 0 for filepath in filepaths: logger.info(f"generating examples from = {filepath}") with open(filepath, encoding="utf-8") as f: _list = [i for i in f.read().split('\n') if len(i) > 0] for i in _list: data = json.loads(i) yield _key, data _key += 1 def _info(self): return datasets.DatasetInfo( description=_DESCRIPTION, features=datasets.Features( { "relation": datasets.Value("string"), "head": datasets.Value("string"), "tail": datasets.Value("string"), "title": datasets.Value("string"), "text": datasets.Value("string"), } ), supervised_keys=None, homepage=_HOME_PAGE, citation=_CITATION, )