Delete pm25vision.py with huggingface_hub

pm25vision.py

@@ -1,79 +0,0 @@
-import os
-import csv
-import datasets
-import zipfile
-
-
-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"),
-                    "image": datasets.Image(),  
-                    "quality": datasets.Value("string"),
-                    "pm25_bin": datasets.Value("string"),
-                }
-            ),
-            supervised_keys=None,
-        )
-
-    def _split_generators(self, dl_manager):
-
-        train_path = dl_manager.download("train.zip")
-        test_path = dl_manager.download("test.zip")
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"archive_path": train_path},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={"archive_path": test_path},
-            ),
-        ]
-
-    def _generate_examples(self, archive_path):
-
-        if self.config.streaming:
-            # Streaming
-            with zipfile.ZipFile(archive_path, "r") as z:
-                # find metadata.csv
-                meta_name = None
-                for name in z.namelist():
-                    if name.endswith("metadata.csv"):
-                        meta_name = name
-                        break
-                if meta_name is None:
-                    raise FileNotFoundError("metadata.csv not found in archive")
-
-                with z.open(meta_name) as f:
-                    reader = csv.DictReader(line.decode("utf-8") for line in f)
-                    for i, row in enumerate(reader):
-                        img_name = f"images/{row['filename']}"
-                        if img_name in z.namelist():
-                            img_bytes = z.read(img_name)
-                            row["image"] = {"bytes": img_bytes, "path": row["filename"]}
-                            yield i, row
-        else:
-            # default
-            base_dir = datasets.filesystems.extract_archive(archive_path)
-            metadata_file = os.path.join(base_dir, "metadata.csv")
-            images_dir = os.path.join(base_dir, "images")
-
-            with open(metadata_file, encoding="utf-8") as f:
-                reader = csv.DictReader(f)
-                for i, row in enumerate(reader):
-                    image_path = os.path.join(images_dir, row["filename"])
-                    row["image"] = image_path
-                    yield i, row