| """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 are designed to test the civil servant candidates’ critical \ | |
| thinking and problem solving. This dataset includes the English versions only; \ | |
| the Chinese versions are available via the homepage/original source.""" | |
| _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 = { | |
| "en_train": "https://raw.githubusercontent.com/lgw863/LogiQA-dataset/master/Train.txt", | |
| "en_test": "https://raw.githubusercontent.com/lgw863/LogiQA-dataset/master/Test.txt", | |
| "en_eval": "https://raw.githubusercontent.com/lgw863/LogiQA-dataset/master/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["en_train"]}), | |
| datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["en_eval"]}), | |
| datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["en_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) | |
| } | |