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import json
from itertools import combinations
import datasets
logger = datasets.logging.get_logger(__name__)
_DESCRIPTION = """TBA"""
_NAME = "relational_similarity"
_VERSION = "0.0.2"
_CITATION = """TBA"""
_HOME_PAGE = "https://github.com/asahi417/relbert"
_URL = f'https://huggingface.co/datasets/relbert/{_NAME}/raw/main/data'
_DATA_ALL = [
'semeval2012_relational_similarity',
'nell_relational_similarity',
't_rex_relational_similarity',
'conceptnet_relational_similarity',
]
_ALL_TYPES = []
for n in range(2, len(_DATA_ALL) + 1):
_ALL_TYPES += list(combinations(_DATA_ALL, n))
_ALL_TYPES = [sorted(i) for i in _ALL_TYPES]
_ALL_TYPES_DICT = {'.'.join(i): i for i in _ALL_TYPES}
_URLS = {
k: {
str(datasets.Split.TRAIN): [f'{_URL}/{_v}.train.jsonl' for _v in v],
str(datasets.Split.VALIDATION): [f'{_URL}/{_v}.validation.jsonl' for _v in v]
}
for k, v in _ALL_TYPES_DICT.items()}
class RelationalSimilarityConfig(datasets.BuilderConfig):
"""BuilderConfig"""
def __init__(self, **kwargs):
"""BuilderConfig.
Args:
**kwargs: keyword arguments forwarded to super.
"""
super(RelationalSimilarityConfig, self).__init__(**kwargs)
class NELLNetRelationalSimilarity(datasets.GeneratorBasedBuilder):
"""Dataset."""
BUILDER_CONFIGS = [
RelationalSimilarityConfig(name=i, version=datasets.Version(_VERSION), description=_DESCRIPTION)
for i in sorted(_ALL_TYPES_DICT.keys())
]
def _split_generators(self, dl_manager):
downloaded_file = dl_manager.download_and_extract(_URLS[self.config.name])
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,
) |