Create logiqa.py

logiqa.py

@@ -0,0 +1,105 @@
+"""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)
+                }