Upload pm25vision.py with huggingface_hub

pm25vision.py

@@ -1,7 +1,6 @@
 import os
 import csv
 import datasets
-import tarfile
 
 
 class PM25Vision(datasets.GeneratorBasedBuilder):
@@ -28,56 +27,29 @@ class PM25Vision(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        # 下载压缩包
-        train_path = dl_manager.download("train.tar.gz")
-        test_path = dl_manager.download("test.tar.gz")
+        # unzip
+        train_path = dl_manager.download_and_extract("train.zip")
+        test_path = dl_manager.download_and_extract("test.zip")
 
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
-                gen_kwargs={"archive_path": train_path, "split": "train"},
+                gen_kwargs={"base_dir": train_path},
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
-                gen_kwargs={"archive_path": test_path, "split": "test"},
+                gen_kwargs={"base_dir": test_path},
             ),
         ]
 
-    def _generate_examples(self, archive_path, split):
-        """
-        如果是普通模式：解压 -> 遍历 metadata.csv
-        如果是 streaming 模式：直接读取 tar.gz -> 逐个 yield
-        """
-        if self.config.streaming:
-            # Streaming 模式：用 dl_manager.iter_archive 直接迭代 tar.gz
-            with tarfile.open(archive_path, "r:gz") as tar:
-                members = {m.name: tar.extractfile(m) for m in tar.getmembers() if m.isfile()}
-
-                # 找 metadata.csv
-                meta_file = None
-                for name in members:
-                    if name.endswith("metadata.csv"):
-                        meta_file = members[name]
-                        break
-                if meta_file is None:
-                    raise FileNotFoundError("metadata.csv not found in archive")
-
-                reader = csv.DictReader(line.decode("utf-8") for line in meta_file)
-                for i, row in enumerate(reader):
-                    image_name = os.path.join("images", row["filename"])
-                    if image_name in members:
-                        row["image"] = {"bytes": members[image_name].read(), "path": row["filename"]}
-                        yield i, row
-
-        else:
-            # 默认模式：先解压，再从磁盘读
-            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
+    def _generate_examples(self, base_dir):
+        # structure: base_dir/metadata.csv + base_dir/images/*
+        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