Upload modelnet10.py

modelnet10.py

@@ -0,0 +1,81 @@
+"""Hugging Face `datasets` loading script for the local ModelNet10 layout (CSV + ModelNet10/*.off)."""
+
+import csv
+import os
+
+from datasets import (
+    BuilderConfig,
+    DatasetInfo,
+    Features,
+    GeneratorBasedBuilder,
+    Split,
+    SplitGenerator,
+    Value,
+    Version,
+)
+
+
+class ModelNet10(GeneratorBasedBuilder):
+    """Build train/test splits from metadata_modelnet10.csv next to the ModelNet10 mesh folder."""
+
+    VERSION = Version("1.0.0")
+    BUILDER_CONFIGS = [BuilderConfig(name="default", version=VERSION)]
+    DEFAULT_CONFIG_NAME = "default"
+
+    def _info(self):
+        return DatasetInfo(
+            description=(
+                "ModelNet10: 3D mesh classification subset (10 categories). "
+                "Each row references an OFF file under ModelNet10/ and metadata_modelnet10.csv at the dataset root."
+            ),
+            features=Features(
+                {
+                    "object_id": Value("string"),
+                    "class": Value("string"),
+                    "split": Value("string"),
+                    "file_path": Value("string"),
+                }
+            ),
+        )
+
+    def _split_generators(self, dl_manager):
+        if self.config.data_dir is not None:
+            data_dir = os.path.abspath(os.path.expanduser(self.config.data_dir))
+            if not os.path.isdir(data_dir):
+                raise FileNotFoundError(f"data_dir is not a directory: {data_dir}")
+        elif self.config.data_files is not None:
+            data_dir = dl_manager.download_and_extract(self.config.data_files)
+        else:
+            raise ValueError(
+                "Pass data_dir=... (folder containing metadata_modelnet10.csv and ModelNet10/) "
+                "or data_files=... when calling load_dataset."
+            )
+
+        return [
+            SplitGenerator(
+                name=Split.TRAIN,
+                gen_kwargs={"split": "train", "data_dir": data_dir},
+            ),
+            SplitGenerator(
+                name=Split.TEST,
+                gen_kwargs={"split": "test", "data_dir": data_dir},
+            ),
+        ]
+
+    def _generate_examples(self, split, data_dir):
+        csv_path = os.path.join(data_dir, "metadata_modelnet10.csv")
+        if not os.path.isfile(csv_path):
+            raise FileNotFoundError(f"Missing metadata CSV: {csv_path}")
+
+        with open(csv_path, newline="", encoding="utf-8") as f:
+            reader = csv.DictReader(f)
+            for row in reader:
+                if row["split"] != split:
+                    continue
+                object_id = row["object_id"]
+                yield object_id, {
+                    "object_id": object_id,
+                    "class": row["class"],
+                    "split": row["split"],
+                    "file_path": os.path.join(data_dir, "ModelNet10", row["object_path"]),
+                }