| | import json |
| | import datasets |
| |
|
| | logger = datasets.logging.get_logger(__name__) |
| | _DESCRIPTION = """[ConceptNet5](https://ojs.aaai.org/index.php/AAAI/article/view/11164)""" |
| | _NAME = "conceptnet" |
| | _VERSION = "1.0.0" |
| | _CITATION = """ |
| | @inproceedings{speer2017conceptnet, |
| | title={Conceptnet 5.5: An open multilingual graph of general knowledge}, |
| | author={Speer, Robyn and Chin, Joshua and Havasi, Catherine}, |
| | booktitle={Thirty-first AAAI conference on artificial intelligence}, |
| | year={2017} |
| | } |
| | """ |
| |
|
| | _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{i:02d}.jsonl' for i in range(33)], |
| | str(datasets.Split.VALIDATION): [f'{_URL}/valid{i:02d}.jsonl' for i in range(25)], |
| | } |
| |
|
| |
|
| | class ConceptNetHighConfidenceConfig(datasets.BuilderConfig): |
| | """BuilderConfig""" |
| |
|
| | def __init__(self, **kwargs): |
| | """BuilderConfig. |
| | Args: |
| | **kwargs: keyword arguments forwarded to super. |
| | """ |
| | super(ConceptNetHighConfidenceConfig, self).__init__(**kwargs) |
| |
|
| |
|
| | class ConceptNetHighConfidence(datasets.GeneratorBasedBuilder): |
| | """Dataset.""" |
| |
|
| | BUILDER_CONFIGS = [ |
| | ConceptNetHighConfidenceConfig(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, |
| | ) |
| |
|
