File size: 2,629 Bytes
2ba4d01 cd03984 2ba4d01 a15edff 2ba4d01 b6e4b25 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 |
"""Co-occurrenceCitationQuintuple"""
import json
import datasets
from datasets.tasks import QuestionAnsweringExtractive
logger = datasets.logging.get_logger(__name__)
_CITATION = """\
@inproceedings{xu2023exploring,
title={Exploring and Verbalizing Academic Ideas by Concept Co-occurrence},
author={Xu, Yi and Sheng, Shuqian and Xue, Bo and Fu, Luoyi and Wang, Xinbing and Zhou, Chenghu},
booktitle={Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL)},
year={2023}
}
"""
_DESCRIPTION = """\
It is the official Co-occurrence Citation Quintuple dataset of paper \
Exploring and Verbalizing Academic Ideas by Concept Co-occurrence.
"""
_URL = "https://github.com/xyjigsaw/Kiscovery"
class QuintupleConfig(datasets.BuilderConfig):
"""BuilderConfig for Quintuple."""
def __init__(self, **kwargs):
"""BuilderConfig for Quintuple.
Args:
**kwargs: keyword arguments forwarded to super.
"""
super(QuintupleConfig, self).__init__(**kwargs)
class Quintuple(datasets.GeneratorBasedBuilder):
"""Quintuple: V202306"""
BUILDER_CONFIGS = [
QuintupleConfig(
name="plain_text",
version=datasets.Version("1.2023.06", ""),
description="Plain text",
),
]
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"c1": datasets.Value("string"),
"c2": datasets.Value("string"),
"p": datasets.Value("string"),
"p1": datasets.Value("string"),
"p2": datasets.Value("string"),
}
),
# No default supervised_keys (as we have to pass both question
# and context as input).
supervised_keys=None,
homepage="https://github.com/xyjigsaw/Kiscovery",
citation=_CITATION,
)
def _generate_examples(self, filepath):
"""This function returns the examples in the raw (text) form."""
logger.info("generating examples from = %s", filepath)
key = 0
with open(filepath, encoding="utf-8") as f:
all_text = json.load(f)
for item in all_text[:100]:
yield key, {
"c1": item[0],
"c2": item[1],
"p": item[2],
"p1": item[3],
"p2": item[4],
}
key += 1
|