| import json | |
| import datasets | |
| logger = datasets.logging.get_logger(__name__) | |
| _DESCRIPTION = """[ConceptNet with high confidence](https://home.ttic.edu/~kgimpel/commonsense.html)""" | |
| _NAME = "conceptnet_relational_similarity" | |
| _VERSION = "2.1.1" | |
| _CITATION = """ | |
| @inproceedings{li-16, | |
| title = {Commonsense Knowledge Base Completion}, | |
| author = {Xiang Li and Aynaz Taheri and Lifu Tu and Kevin Gimpel}, | |
| booktitle = {Proc. of ACL}, | |
| year = {2016} | |
| } | |
| @InProceedings{P16-1137, | |
| author = "Li, Xiang | |
| and Taheri, Aynaz | |
| and Tu, Lifu | |
| and Gimpel, Kevin", | |
| title = "Commonsense Knowledge Base Completion", | |
| booktitle = "Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ", | |
| year = "2016", | |
| publisher = "Association for Computational Linguistics", | |
| pages = "1445--1455", | |
| location = "Berlin, Germany", | |
| doi = "10.18653/v1/P16-1137", | |
| url = "http://aclweb.org/anthology/P16-1137" | |
| } | |
| """ | |
| _HOME_PAGE = "https://github.com/asahi417/relbert" | |
| _URL = f'https://huggingface.co/datasets/relbert/{_NAME}/raw/main/dataset' | |
| _URLS = { | |
| str(datasets.Split.TRAIN): [f'{_URL}/train.jsonl'], | |
| str(datasets.Split.VALIDATION): [f'{_URL}/valid.jsonl'], | |
| str(datasets.Split.TEST): [f'{_URL}/test.jsonl'], | |
| } | |
| class ConceptNetRelationalSimilarityConfig(datasets.BuilderConfig): | |
| """BuilderConfig""" | |
| def __init__(self, **kwargs): | |
| """BuilderConfig. | |
| Args: | |
| **kwargs: keyword arguments forwarded to super. | |
| """ | |
| super(ConceptNetRelationalSimilarityConfig, self).__init__(**kwargs) | |
| class ConceptNetRelationalSimilarity(datasets.GeneratorBasedBuilder): | |
| """Dataset.""" | |
| BUILDER_CONFIGS = [ | |
| ConceptNetRelationalSimilarityConfig(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[i]}) for i in _URLS.keys()] | |
| 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_type": datasets.Value("string"), | |
| "positives": datasets.Sequence(datasets.Sequence(datasets.Value("string"))), | |
| "negatives": datasets.Sequence(datasets.Sequence(datasets.Value("string"))), | |
| } | |
| ), | |
| supervised_keys=None, | |
| homepage=_HOME_PAGE, | |
| citation=_CITATION, | |
| ) | |