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.gitattributes

@@ -53,3 +53,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
+val/CS.json filter=lfs diff=lfs merge=lfs -text

olympic_test.py

@@ -0,0 +1,90 @@
+import os
+import datasets
+import json
+
+
+_CITATION = """\
+"""
+
+_DESCRIPTION = """\
+OlympicArena
+"""
+
+_HOMEPAGE = ""
+
+_URL = ""
+
+
+subject_list = ["Math", "Physics", "Chemistry", "Biology", "Geography", "Astronomy", "CS"]
+
+
+class OlympicArenaConfig(datasets.BuilderConfig):
+    """BuilderConfig"""
+
+    def __init__(self, **kwargs):
+        """BuilderConfig
+        Args:
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(OlympicArenaConfig, self).__init__(**kwargs)
+        
+        
+        
+class OlympicArena(datasets.GeneratorBasedBuilder):
+    BUILDER_CONFIGS = [
+        OlympicArenaConfig(name=subject) for subject in subject_list
+    ]
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "id": datasets.Value("string"),
+                "problem": datasets.Value("string"),
+                "prompt": datasets.Value("string"),
+                "figure_urls": datasets.Sequence(datasets.Value("string")),
+                "answer": datasets.Sequence(datasets.Value("string")),
+                "solution": datasets.Value("string"),
+                "answer_type": datasets.Value("string"),
+                "unit": datasets.Sequence(datasets.Value("string")),
+                "answer_sequence": datasets.Sequence(datasets.Value("string")),
+                "type_sequence": datasets.Sequence(datasets.Value("string")),
+                "test_cases": datasets.Sequence(
+                    {
+                        "input": datasets.Value("string"),
+                        "output": datasets.Value("string")
+                    }
+                ),
+                "subject": datasets.Value("string"),
+                "language": datasets.Value("string"),
+                "modality": datasets.Value("string")
+            }
+        )
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        subject = self.config.name
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "filepath": dl_manager.download(os.path.join("test", subject+".json")),
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split("val"),
+                gen_kwargs={
+                    "filepath": dl_manager.download(os.path.join("val", subject+".json")),
+                },
+            ),
+        ]
+
+    def _generate_examples(self, filepath):
+        with open(filepath, "r") as f:
+            data = json.load(f)
+        for i, instance in enumerate(data):
+            yield i, instance

val/CS.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f816221f751383fb7e9c5225c5350b8547bb6eadcf79bf073ffee1ae7a1ad80c
+size 517636118