second commit

spectrogram_musicCaps.py

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+import datasets
+
+
+# ここに設定を記入
+_NAME = "mickylan2367/spectrogram_musicCaps"
+
+# _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... 
+"""
+
+# え...なにこれ(;´･ω･)
+_IMAGES_DIR = "mickylan2367/images/"
+# _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 
+        Args:
+          data_url: `string`, url to download the zip file from.
+          metadata_urls: dictionary with keys 'train' and 'validation' containing the archive metadata URLs
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(spectrogram_musicCapsConfig, self).__init__(version=datasets.Version("1.0.0"), **kwargs)
+        self.data_url = data_url
+        self.metadata_urls = metadata_urls
+
+class spectrogram_musicCaps(datasets.GeneratorBasedBuilder):
+
+    # データのサブセットはここで用意
+    BUILDER_CONFIGS = [
+        spectrogram_musicCapsConfig(
+            name="MusicCaps data 0_30",
+            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", 
+                # "validation": "huggingface?"
+            },
+        ),
+        spectrogram_musicCapsConfig(
+            name="MusicCpas data 50_80",
+            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", 
+                # "validation": "https://link-to-dinner-foods-validation.txt"
+            },
+        )
+    ]
+  
+    def _info(self):
+      return datasets.DatasetInfo(
+          description=_DESCRIPTION,
+          features=datasets.Features(
+              {
+                  "image": datasets.Image(),
+                  "caption": datasets.Value("string")
+              }
+          ),
+          supervised_keys=("image", "caption"),
+          homepage=_HOMEPAGE,
+          # citation=_CITATION,
+          # 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)
+      return [
+          datasets.SplitGenerator(
+              name=datasets.Split.TRAIN,
+              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):
+      """Generate images and captions for splits."""
+      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,
+                  }
+
+
+
+
+