Upload pm25vision.py with huggingface_hub

pm25vision.py

@@ -0,0 +1,45 @@
+import csv
+import datasets
+
+
+class PM25Vision(datasets.GeneratorBasedBuilder):
+    def _info(self):
+        return datasets.DatasetInfo(
+            description="PM25Vision: Street-level imagery with PM2.5 annotations",
+            features=datasets.Features(
+                {
+                    "image_id": datasets.Value("int64"),
+                    "station_id": datasets.Value("int64"),
+                    "captured_at": datasets.Value("string"),
+                    "camera_angle": datasets.Value("float64"),
+                    "longitude": datasets.Value("float64"),
+                    "latitude": datasets.Value("float64"),
+                    "quality_score": datasets.Value("float64"),
+                    "downloaded_at": datasets.Value("string"),
+                    "pm25": datasets.Value("float64"),
+                    "filename": datasets.Value("string"),  
+                    "quality": datasets.Value("string"),
+                    "pm25_bin": datasets.Value("string"),
+                }
+            ),
+            supervised_keys=None,
+        )
+
+    def _split_generators(self, dl_manager):
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"filepath": "train/metadata.csv"},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={"filepath": "test/metadata.csv"},
+            ),
+        ]
+
+    def _generate_examples(self, filepath):
+        with open(filepath, encoding="utf-8") as f:
+            reader = csv.DictReader(f)
+            for i, row in enumerate(reader):
+                yield i, row