|
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 = "3.0.1" |
|
_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}/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 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, |
|
) |
|
|