Upload Quintuple.py
Browse files- Quintuple.py +84 -0
Quintuple.py
ADDED
|
@@ -0,0 +1,84 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
"""Co-occurrenceCitationQuintuple"""
|
| 2 |
+
|
| 3 |
+
import json
|
| 4 |
+
|
| 5 |
+
import datasets
|
| 6 |
+
from datasets.tasks import QuestionAnsweringExtractive
|
| 7 |
+
|
| 8 |
+
|
| 9 |
+
logger = datasets.logging.get_logger(__name__)
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
_CITATION = """\
|
| 13 |
+
@inproceedings{xu2023exploring,
|
| 14 |
+
title={Exploring and Verbalizing Academic Ideas by Concept Co-occurrence},
|
| 15 |
+
author={Xu, Yi and Sheng, Shuqian and Xue, Bo and Fu, Luoyi and Wang, Xinbing and Zhou, Chenghu},
|
| 16 |
+
booktitle={Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL)},
|
| 17 |
+
year={2023}
|
| 18 |
+
}
|
| 19 |
+
"""
|
| 20 |
+
|
| 21 |
+
_DESCRIPTION = """\
|
| 22 |
+
It is the official Co-occurrence Citation Quintuple dataset of paper \
|
| 23 |
+
Exploring and Verbalizing Academic Ideas by Concept Co-occurrence.
|
| 24 |
+
"""
|
| 25 |
+
|
| 26 |
+
_URL = "https://github.com/xyjigsaw/Kiscovery"
|
| 27 |
+
|
| 28 |
+
|
| 29 |
+
class QuintupleConfig(datasets.BuilderConfig):
|
| 30 |
+
"""BuilderConfig for Quintuple."""
|
| 31 |
+
|
| 32 |
+
def __init__(self, **kwargs):
|
| 33 |
+
"""BuilderConfig for Quintuple.
|
| 34 |
+
Args:
|
| 35 |
+
**kwargs: keyword arguments forwarded to super.
|
| 36 |
+
"""
|
| 37 |
+
super(QuintupleConfig, self).__init__(**kwargs)
|
| 38 |
+
|
| 39 |
+
|
| 40 |
+
class Quintuple(datasets.GeneratorBasedBuilder):
|
| 41 |
+
"""Quintuple: V202306"""
|
| 42 |
+
|
| 43 |
+
BUILDER_CONFIGS = [
|
| 44 |
+
QuintupleConfig(
|
| 45 |
+
name="plain_text",
|
| 46 |
+
version=datasets.Version("202306", ""),
|
| 47 |
+
description="Plain text",
|
| 48 |
+
),
|
| 49 |
+
]
|
| 50 |
+
|
| 51 |
+
def _info(self):
|
| 52 |
+
return datasets.DatasetInfo(
|
| 53 |
+
description=_DESCRIPTION,
|
| 54 |
+
features=datasets.Features(
|
| 55 |
+
{
|
| 56 |
+
"c1": datasets.Value("string"),
|
| 57 |
+
"c2": datasets.Value("string"),
|
| 58 |
+
"p": datasets.Value("string"),
|
| 59 |
+
"p1": datasets.Value("string"),
|
| 60 |
+
"p2": datasets.Value("string"),
|
| 61 |
+
}
|
| 62 |
+
),
|
| 63 |
+
# No default supervised_keys (as we have to pass both question
|
| 64 |
+
# and context as input).
|
| 65 |
+
supervised_keys=None,
|
| 66 |
+
homepage="https://github.com/xyjigsaw/Kiscovery",
|
| 67 |
+
citation=_CITATION,
|
| 68 |
+
)
|
| 69 |
+
|
| 70 |
+
def _generate_examples(self, filepath):
|
| 71 |
+
"""This function returns the examples in the raw (text) form."""
|
| 72 |
+
logger.info("generating examples from = %s", filepath)
|
| 73 |
+
key = 0
|
| 74 |
+
with open(filepath, encoding="utf-8") as f:
|
| 75 |
+
all_text = json.load(f)
|
| 76 |
+
for item in all_text:
|
| 77 |
+
yield key, {
|
| 78 |
+
"c1": item[0],
|
| 79 |
+
"c2": item[1],
|
| 80 |
+
"p": item[2],
|
| 81 |
+
"p1": item[3],
|
| 82 |
+
"p2": item[4],
|
| 83 |
+
}
|
| 84 |
+
key += 1
|