chaged loading script

GraySpectrogram.py

@@ -34,50 +34,53 @@ Using for Project Learning...
 # DatasetInfo : https://huggingface.co/docs/datasets/package_reference/main_classes
 
 
-# データを整理？
-dl_manager = DownloadManager()
-hfh_dataset_info = HfApi().dataset_info(_NAME, revision=_REVISION, timeout=100.0)
-
-# メタデータであるjsonlファイルのURLを取得
-# ここの抽出方法変えられないかな？
-train_metadata_url = DataFilesDict.from_hf_repo(
-    {datasets.Split.TRAIN: ["data/train/**"]},
-    dataset_info=hfh_dataset_info,
-    allowed_extensions=["jsonl", ".jsonl"],
-)
-
-test_metadata_url = DataFilesDict.from_hf_repo(
-    {datasets.Split.TEST: ["data/test/**"]},
-    dataset_info=hfh_dataset_info,
-    allowed_extensions=["jsonl", ".jsonl"],
-)
-        
+def get_information():
+    # データを整理？
+    hfh_dataset_info = HfApi().dataset_info(_NAME, revision=_REVISION, timeout=100.0)
+
+    # メタデータであるjsonlファイルのURLを取得
+    # ここの抽出方法変えられないかな？
+    train_metadata_url = DataFilesDict.from_hf_repo(
+        {datasets.Split.TRAIN: ["data/train/**"]},
+        dataset_info=hfh_dataset_info,
+        allowed_extensions=["jsonl", ".jsonl"],
+    )
+
+    test_metadata_url = DataFilesDict.from_hf_repo(
+        {datasets.Split.TEST: ["data/test/**"]},
+        dataset_info=hfh_dataset_info,
+        allowed_extensions=["jsonl", ".jsonl"],
+    )
+            
+
+    metadata_urls = dict()
+    metadata_urls["train"] = train_metadata_url["train"]
+    metadata_urls["test"] = test_metadata_url["test"]
+
+    # 画像データは**.zipのURLをDict型として取得？
+    # **.zipのURLをDict型として取得？
+    train_data_url = DataFilesDict.from_hf_repo(
+        {datasets.Split.TRAIN: ["data/train/**"]},
+        dataset_info=hfh_dataset_info,
+        allowed_extensions=["zip", ".zip"],
+    )
+
+    test_data_url = DataFilesDict.from_hf_repo(
+        {datasets.Split.TEST: ["data/test/**"]},
+        dataset_info=hfh_dataset_info,
+        allowed_extensions=["zip", ".zip"]
+    )
+    data_urls = dict()
+    data_urls["train"] = train_data_url["train"]
+    data_urls["test"] = test_data_url["test"]
+    return (metadata_urls, data_urls)
+
 
-metadata_urls = dict()
-metadata_urls["train"] = train_metadata_url["train"]
-metadata_urls["test"] = test_metadata_url["test"]
-
-# 画像データは**.zipのURLをDict型として取得？
-# **.zipのURLをDict型として取得？
-train_data_url = DataFilesDict.from_hf_repo(
-    {datasets.Split.TRAIN: ["data/train/**"]},
-    dataset_info=hfh_dataset_info,
-    allowed_extensions=["zip", ".zip"],
-)
-
-test_data_url = DataFilesDict.from_hf_repo(
-    {datasets.Split.TEST: ["data/test/**"]},
-    dataset_info=hfh_dataset_info,
-    allowed_extensions=["zip", ".zip"]
-)
-data_urls = dict()
-data_urls["train"] = train_data_url["train"]
-data_urls["test"] = test_data_url["test"]
 
 class GraySpectrogramConfig(datasets.BuilderConfig):
     """BuilderConfig for Imagette."""
 
-    def __init__(self, data_url, metadata_urls, **kwargs):
+    def __init__(self, data_url, metadata_url, **kwargs):
         """BuilderConfig for Imagette.
         Args:
           data_url: `string`, url to download the zip file from.
@@ -86,11 +89,12 @@ class GraySpectrogramConfig(datasets.BuilderConfig):
         """
         super(GraySpectrogramConfig, self).__init__(version=datasets.Version("1.0.0"), **kwargs)
         self.data_url = data_url
-        self.metadata_urls = metadata_urls
+        self.metadata_url = metadata_url
 
 class GraySpectrogram(datasets.GeneratorBasedBuilder):
 
     # データのサブセットはここで用意
+    data_urls, metadata_urls = get_information()
     BUILDER_CONFIGS = [
         GraySpectrogramConfig(
             name="data 0-200",
@@ -99,7 +103,7 @@ class GraySpectrogram(datasets.GeneratorBasedBuilder):
                 "train" : data_urls["train"][0],
                 "test" : data_urls["test"][0]
             },
-            metadata_urls = {
+            metadata_url = {
                 "train" : metadata_urls["train"][0],
                 "test" : metadata_urls["test"][0]
             }
@@ -112,7 +116,7 @@ class GraySpectrogram(datasets.GeneratorBasedBuilder):
                 "train" : data_urls["train"][1],
                 "test" : data_urls["test"][1]
             },
-            metadata_urls = {
+            metadata_url = {
                 "train": metadata_urls["train"][1],
                 "test" : metadata_urls["test"][1] 
             }
@@ -125,7 +129,7 @@ class GraySpectrogram(datasets.GeneratorBasedBuilder):
                 "train" : data_urls["train"][2],
                 "test" : data_urls["test"][2]
             },
-            metadata_urls = {
+            metadata_url = {
                 "train" : metadata_urls["train"][2],
                 "test" : metadata_urls["test"][2]
             }
@@ -137,7 +141,7 @@ class GraySpectrogram(datasets.GeneratorBasedBuilder):
                 "train" : data_urls["train"][3],
                 "test" : data_urls["test"][3]
             },
-            metadata_urls = {
+            metadata_url = {
                 "train" : metadata_urls["train"][3],
                 "test" : metadata_urls["test"][3]
             }
@@ -150,7 +154,7 @@ class GraySpectrogram(datasets.GeneratorBasedBuilder):
                 "train" : data_urls["train"][4],
                 "test" : data_urls["test"][4]
             },
-            metadata_urls = {
+            metadata_url = {
                 "train" : metadata_urls["train"][4],
                 "test" : metadata_urls["test"][4]
             }   
@@ -191,8 +195,8 @@ class GraySpectrogram(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager: DownloadManager):
 
-        metadata_paths = dl_manager.download(self.config.metadata_urls)
-        data_paths = dl_manager.download(self.config.data_urls)
+        metadata_paths = dl_manager.download(self.config.metadata_url)
+        data_paths = dl_manager.download(self.config.data_url)
 
         return [
             datasets.SplitGenerator(