| import json |
| import datasets |
|
|
| logger = datasets.logging.get_logger(__name__) |
| _DESCRIPTION = """[ConceptNet with high confidence](https://home.ttic.edu/~kgimpel/commonsense.html)""" |
| _NAME = "conceptnet" |
| _VERSION = "3.0.4" |
| _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}/resolve/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 ConceptNetConfig(datasets.BuilderConfig): |
| """BuilderConfig""" |
|
|
| def __init__(self, **kwargs): |
| """BuilderConfig. |
| Args: |
| **kwargs: keyword arguments forwarded to super. |
| """ |
| super(ConceptNetConfig, self).__init__(**kwargs) |
|
|
|
|
| class ConceptNet(datasets.GeneratorBasedBuilder): |
| """Dataset.""" |
|
|
| BUILDER_CONFIGS = [ |
| ConceptNetConfig(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": datasets.Value("string"), |
| "head": datasets.Value("string"), |
| "tail": datasets.Value("string"), |
| } |
| ), |
| supervised_keys=None, |
| homepage=_HOME_PAGE, |
| citation=_CITATION, |
| ) |
|
|
