Create race.py

race.py

@@ -0,0 +1,67 @@
+import json
+
+import datasets
+
+
+_CITATION = """\
+@article{lai2017large,
+    title={RACE: Large-scale ReAding Comprehension Dataset From Examinations},
+    author={Lai, Guokun and Xie, Qizhe and Liu, Hanxiao and Yang, Yiming and Hovy, Eduard},
+    journal={arXiv preprint arXiv:1704.04683},
+    year={2017}
+}
+"""
+
+_DESCRIPTION = """\
+Race is a large-scale reading comprehension dataset with more than 28,000 passages and nearly 100,000 questions. The
+ dataset is collected from English examinations in China, which are designed for middle school and high school students.
+The dataset can be served as the training and test sets for machine comprehension.
+"""
+
+_BASE_URL = "https://huggingface.co/datasets/bfattori/race_grouped"
+#TODO: CHANGE
+_URLS = {
+    "high": f"{_BASE_URL}/race_high_test.jsonl",
+}
+
+class Race(datasets.GeneratorBasedBuilder):
+    """ReAding Comprehension Dataset From Examination dataset from CMU"""
+
+    VERSION = datasets.Version("0.1.0")
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(name="high", description="Exams designed for high school students", version=VERSION),
+    ]
+
+    def _info(self):
+        features = datasets.Features(
+                {
+                    "article": datasets.Value("string"),
+                    "problems": datasets.features.Sequence(datasets.Value("string")),
+                }
+            )
+        return datasets.DatasetInfo(
+            description=f"{_DESCRIPTION}\n{self.config.description}",
+            features=features,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        urls = _URLS[self.config.name]
+        data_dir = dl_manager.download_and_extract(urls)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "filepath": data_dir,
+                    "split": datasets.Split.TEST,
+                },
+            ),
+        ]
+
+    def _generate_examples(self, filepath, split):
+        with open(filepath, encoding="utf-8") as f:
+            for key, row in enumerate(f):
+                data = json.loads(row)
+                yield key, {"article": data["article"], "problems": data["problems"]}