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"""LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning"""
import re
import datasets
logger = datasets.logging.get_logger(__name__)
_HOMEPAGE = "https://github.com/lgw863/LogiQA-dataset"
_DESCRIPTION = """\
LogiQA is constructed from the logical comprehension problems from \
publically available questions of the National Civil Servants Examination \
of China, which is designed to test the civil servant candidates’ critical \
thinking and problem-solving. This dataset includes the Chinese versions only"""
_CITATION = """\
@article{liu2020logiqa,
title={Logiqa: A challenge dataset for machine reading comprehension with logical reasoning},
author={Liu, Jian and Cui, Leyang and Liu, Hanmeng and Huang, Dandan and Wang, Yile and Zhang, Yue},
journal={arXiv preprint arXiv:2007.08124},
year={2020}
}
"""
_URLS = {
"zh_train": "https://raw.githubusercontent.com/lgw863/LogiQA-dataset/master/zh_train.txt",
"zh_test": "https://raw.githubusercontent.com/lgw863/LogiQA-dataset/master/zh_test.txt",
"zh_eval": "https://raw.githubusercontent.com/lgw863/LogiQA-dataset/master/zh_eval.txt",
}
def _process_answer(answer):
if not any(answer.startswith(x) for x in "ABCD"):
return answer
else:
return answer[3:]
def _process_sentences(text):
text = text.replace("\n", "")
sents = text.split(".")
text = ""
for sent in sents:
if len(sent) == 0:
continue
if len(text) == 0:
text += sent
elif sent[0].isnumeric():
text += "."+sent
else:
text += ". "+sent
text = text.replace(" ", " ")
text = text.replace("\\'", "'")
while text.endswith(" "):
text = text[:-1]
if re.match('^[A-Z][\w\s]+[?.!]$', text) is None:
text += "."
text = text.replace("?.", "?")
text = text.replace("!.", "!")
text = text.replace("..", ".")
return text
class LogiQA(datasets.GeneratorBasedBuilder):
def _info(self):
features = datasets.Features(
{
"context": datasets.Value("string"),
"query": datasets.Value("string"),
"options": datasets.features.Sequence(datasets.Value("string")),
"correct_option": datasets.Value("int32")
}
)
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=features,
homepage=_HOMEPAGE,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
downloaded_files = dl_manager.download_and_extract(_URLS)
return [
datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["zh_train"]}),
datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["zh_eval"]}),
datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["zh_test"]}),
]
def _generate_examples(self, filepath):
logger.info("generating examples from = %s", filepath)
with open(filepath, encoding="utf-8") as f:
logiqa = f.readlines()
logiqa = [_process_sentences(s) for s in logiqa]
for key in range(int(len(logiqa)/8)):
row = 8*key
correct_answer = logiqa[row+1].replace(".","")
context = logiqa[row+2]
query = logiqa[row+3]
answers = logiqa[row+4:row+8]
yield key, {
"context": context,
"query": query,
"options": [_process_answer(answers[i]) for i in range(4)],
"correct_option": "abcd".index(correct_answer)
} |