Create bluemo.py

bluemo.py

@@ -0,0 +1,55 @@
+# bluemo.py
+import json, datasets
+from datasets import Features, Value, Sequence, Split, SplitGenerator
+
+_CITATION = ""
+_DESCRIPTION = "BlueMO dataset."
+
+class BlueMO(datasets.GeneratorBasedBuilder):
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(name="default"),
+        datasets.BuilderConfig(name="proof"),
+        datasets.BuilderConfig(name="calculation"),
+        datasets.BuilderConfig(name="mathtext"),
+    ]
+
+    def _info(self):
+        if self.config.name in ("proof", "calculation", "default"):
+            feats = Features({
+                "source_file": Value("string"),
+                "problem_type": Value("string"),
+                "problem": Value("string"),
+                "solution": Value("string"),
+                "remark": Value("string"),
+                "figures": Sequence(Value("string")),
+            })
+        else:  # mathtext
+            feats = Features({
+                "source_file": Value("string"),
+                "text": Value("string"),
+                "figures": Sequence(Value("string")),
+            })
+        return datasets.DatasetInfo(description=_DESCRIPTION, citation=_CITATION, features=feats)
+
+    def _split_generators(self, dl_manager):
+        # match your README configs
+        if self.config.name == "proof":
+            paths = dl_manager.iter_files(["processed_dataset/proof"])
+        elif self.config.name == "calculation":
+            paths = dl_manager.iter_files(["processed_dataset/calculation"])
+        elif self.config.name == "mathtext":
+            paths = dl_manager.iter_files(["processed_dataset/text"])
+        else:  # default = proof + calculation
+            paths = dl_manager.iter_files(["processed_dataset/proof", "processed_dataset/calculation"])
+        return [SplitGenerator(name=Split.TRAIN, gen_kwargs={"paths": list(paths)})]
+
+    def _generate_examples(self, paths):
+        for i, p in enumerate(sorted(paths)):
+            with open(p, "r", encoding="utf-8") as f:
+                obj = json.load(f)
+            # normalize keys & types
+            if "figures" in obj and obj["figures"] is None:
+                obj["figures"] = []
+            if "figures" in obj:
+                obj["figures"] = [str(x) for x in (obj["figures"] or [])]
+            yield str(i), obj