loading_script

spectrogram_musicCaps.py

@@ -1,29 +1,28 @@
-import datasets
 
+import datasets
 
 # ここに設定を記入
 _NAME = "mickylan2367/spectrogram_musicCaps"
 
-# _HOMEPAGE = "https://github.com/fastai/imagenette" 
+# _HOMEPAGE = "https://github.com/fastai/imagenette"
 # プログラムを置く場所が決まったら、ここにホームページURLつける
 _HOMEPAGE = "https://huggingface.co/datasets/mickylan2367/spectrogram_musicCaps"
 
 _DESCRIPTION = f"""\
 {_NAME} Datasets including spectrogram.png file from Google MusicCaps Datasets!
-Using for Project Learning... 
+Using for Project Learning...
 """
 
 # え...なにこれ(;´･ω･)
-_IMAGES_DIR = "mickylan2367/images/"
+_IMAGES_DIR = "mickylan2367/images/data/"
 # _REPO = "https://huggingface.co/datasets/frgfm/imagenette/resolve/main/metadata"
 
 
-
 class spectrogram_musicCapsConfig(datasets.BuilderConfig):
     """Builder Config for spectrogram_MusicCaps"""
- 
+
     def __init__(self, data_url, metadata_urls, **kwargs):
-        """BuilderConfig 
+        """BuilderConfig
         Args:
           data_url: `string`, url to download the zip file from.
           metadata_urls: dictionary with keys 'train' and 'validation' containing the archive metadata URLs
@@ -32,6 +31,9 @@ class spectrogram_musicCapsConfig(datasets.BuilderConfig):
         super(spectrogram_musicCapsConfig, self).__init__(version=datasets.Version("1.0.0"), **kwargs)
         self.data_url = data_url
         self.metadata_urls = metadata_urls
+        print(data_url)
+        print(metadata_urls)
+
 
 class spectrogram_musicCaps(datasets.GeneratorBasedBuilder):
 
@@ -42,7 +44,7 @@ class spectrogram_musicCaps(datasets.GeneratorBasedBuilder):
             description="Datasets from MusicCaps by Mikan",
             data_url="https://huggingface.co/datasets/mickylan2367/spectrogram_musicCaps/blob/main/data/data0_50/data0_50.zip",
             metadata_urls={
-                "train": "https://huggingface.co/datasets/mickylan2367/spectrogram_musicCaps/blob/main/data/data0_50/metadata0_50.jsonl", 
+                "train": "https://huggingface.co/datasets/mickylan2367/spectrogram_musicCaps/blob/main/data/data0_50/metadata0_50.jsonl",
                 # "validation": "huggingface?"
             },
         ),
@@ -51,12 +53,12 @@ class spectrogram_musicCaps(datasets.GeneratorBasedBuilder):
             description="Datasets second action by Mikan",
             data_url="https://huggingface.co/datasets/mickylan2367/spectrogram_musicCaps/blob/main/data/data50_80/data50_80.zip",
             metadata_urls={
-                "train": "https://huggingface.co/datasets/mickylan2367/spectrogram_musicCaps/blob/main/data/data50_80/metadata50_80.jsonl", 
+                "train": "https://huggingface.co/datasets/mickylan2367/spectrogram_musicCaps/blob/main/data/data50_80/metadata50_80.jsonl",
                 # "validation": "https://link-to-dinner-foods-validation.txt"
             },
         )
     ]
-  
+
     def _info(self):
       return datasets.DatasetInfo(
           description=_DESCRIPTION,
@@ -72,7 +74,7 @@ class spectrogram_musicCaps(datasets.GeneratorBasedBuilder):
           # license=_LICENSE,
           # task_templates=[ImageClassification(image_column="image", label_column="label")],
       )
-    
+
     def _split_generators(self, dl_manager):
       archive_path = dl_manager.download(self.config.data_urls)
       split_metadata_paths = dl_manager.download(self.config.metadata_urls)
@@ -82,33 +84,29 @@ class spectrogram_musicCaps(datasets.GeneratorBasedBuilder):
               gen_kwargs={
                   "images": dl_manager.iter_archive(archive_path),
                   "metadata_path": split_metadata_paths["train"],
-              },
-          ),
-        #   datasets.SplitGenerator(
-        #       name=datasets.Split.VALIDATION,
-        #       gen_kwargs={
-        #           "images": dl_manager.iter_archive(archive_path),
-        #           "metadata_path": split_metadata_paths["test"],
-        #       },
-        #   ),
+              }
+          )
       ]
-    
+
     def _generate_examples(self, images, metadata_path):
+      print(images)
       """Generate images and captions for splits."""
+      # with open(metadata_path, encoding="utf-8") as f:
+      #     files_to_keep = set(f.read().split("\n"))
       with open(metadata_path, encoding="utf-8") as f:
-          files_to_keep = set(f.read().split("\n"))
-      
-      for file_path, file_obj in images:
-          if file_path.startswith(_IMAGES_DIR):
-              if file_path[len(_IMAGES_DIR) : -len(".jpg")] in files_to_keep:
-                  caption = file_path.split("/")[2]
-                #   caption = file_path
-                  yield file_path, {
-                      "image": {"path": file_path, "bytes": file_obj.read()},
-                      "caption": caption,
-                  }
-
-
-
-
+          # テキストファイルの方を入れる..
+          captions = f.readlines()
 
+      for idx, (file_path, file_obj) in enumerate(images):
+          yield file_path,{
+              "image":{"path":file_path, "bytes":file_obj.read()},
+              "caption":captions[idx]
+          }
+          # if file_path.startswith(_IMAGES_DIR): #
+          #     if file_path[len(_IMAGES_DIR) : -len("*.png")] in files_to_keep:
+          #         # label = file_path.split("/")[2]
+          #         caption = captions[idx]
+          #         yield file_path, {
+          #             "image": {"path": file_path, "bytes": file_obj.read()},
+          #             "caption": caption,
+          #         }