| import json | |
| import datasets | |
| logger = datasets.logging.get_logger(__name__) | |
| _DESCRIPTION = """[SemEVAL 2012 task 2: Relational Similarity](https://aclanthology.org/S12-1047/)""" | |
| _NAME = "semeval2012_relational_similarity" | |
| _VERSION = "0.0.1" | |
| _CITATION = """ | |
| @inproceedings{jurgens-etal-2012-semeval, | |
| title = "{S}em{E}val-2012 Task 2: Measuring Degrees of Relational Similarity", | |
| author = "Jurgens, David and | |
| Mohammad, Saif and | |
| Turney, Peter and | |
| Holyoak, Keith", | |
| booktitle = "*{SEM} 2012: The First Joint Conference on Lexical and Computational Semantics {--} Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation ({S}em{E}val 2012)", | |
| month = "7-8 " # jun, | |
| year = "2012", | |
| address = "Montr{\'e}al, Canada", | |
| publisher = "Association for Computational Linguistics", | |
| url = "https://aclanthology.org/S12-1047", | |
| pages = "356--364", | |
| } | |
| """ | |
| _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}/train.jsonl'], | |
| str(datasets.Split.VALIDATION): [f'{_URL}/valid.jsonl'], | |
| } | |
| class SemEVAL2012RelationalSimilarityConfig(datasets.BuilderConfig): | |
| """BuilderConfig""" | |
| def __init__(self, **kwargs): | |
| """BuilderConfig. | |
| Args: | |
| **kwargs: keyword arguments forwarded to super. | |
| """ | |
| super(SemEVAL2012RelationalSimilarityConfig, self).__init__(**kwargs) | |
| class SemEVAL2012RelationalSimilarity(datasets.GeneratorBasedBuilder): | |
| """Dataset.""" | |
| BUILDER_CONFIGS = [ | |
| SemEVAL2012RelationalSimilarityConfig(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]] | |
| 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, | |
| ) |