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default/logiqa-test.parquet

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+size 288759

default/logiqa-train.parquet

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+oid sha256:5f47d4e157f6ae60278e870e7bc392e5cafc18e2cd285b36b87fff5b158425f0
+size 3682115

default/logiqa-validation.parquet

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+size 290455

logiqa.py

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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 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)
-                }