git add many files

.gitattributes

@@ -53,3 +53,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
+*.jsonl filter=lfs diff=lfs merge=lfs -text

data/metadata.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f4497176d180c649f6011dacb396580cb96b744894412ccdb3121593178d5cf
+size 2580

data/train.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a7305b55622d9b2562f24f414ab8d6784ffe25524f9d72270d8845798aa76d9f
+size 947921

try.py

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+
+import datasets
+from huggingface_hub import HfApi
+from datasets import DownloadManager, DatasetInfo
+from datasets.data_files import DataFilesDict
+import os
+import json
+
+
+# ここに設定を記入
+_NAME = "mickylan2367/LoadingScriptPractice"
+_EXTENSION = [".png"]
+_REVISION = "main"
+
+# _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/data/"
+# _REPO = "https://huggingface.co/datasets/frgfm/imagenette/resolve/main/metadata"
+
+# 参考になりそうなURL集
+# https://huggingface.co/docs/datasets/v1.1.1/_modules/datasets/utils/download_manager.html
+# https://huggingface.co/datasets/animelover/danbooru2022/blob/main/danbooru2022.py
+# https://huggingface.co/datasets/food101/blob/main/food101.py
+# https://huggingface.co/docs/datasets/about_dataset_load
+
+
+class spectrogram_musicCapsConfig(datasets.BuilderConfig):
+    """Builder Config for spectrogram_MusicCaps"""
+
+    def __init__(self, **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_10",
+            description="Datasets from MusicCaps by Mikan",
+        ),
+        
+        # spectrogram_musicCapsConfig(
+        #     name="MusicCpas data 10_100",
+        #     description="Datasets second action by Mikan",
+        # )
+    ]
+
+    def _info(self):
+      return datasets.DatasetInfo(
+          description=_DESCRIPTION,
+          features=datasets.Features(
+              {
+                  "image": datasets.Image(),
+                  "caption": datasets.Value("string"),
+                  "data_idx": datasets.Value("int32"),
+                  "number" : datasets.Value("int32"),
+                  "label" : datasets.Value("string")
+              }
+          ),
+          supervised_keys=("image", "caption", "data_idx", "number", "label"),
+          homepage=_HOMEPAGE,
+          # citation=_CITATION,
+          # license=_LICENSE,
+          # task_templates=[ImageClassification(image_column="image", label_column="label")],
+      )
+
+    def _split_generators(self, dl_manager: DownloadManager):
+        # huggingfaceのディレクトリからデータを取ってくる
+        hfh_dataset_info = HfApi().dataset_info(_NAME, revision=_REVISION, timeout=100.0)
+
+        split_metadata_paths = DataFilesDict.from_hf_repo(
+            {datasets.Split.TRAIN: ["**"]},
+            dataset_info=hfh_dataset_info,
+            allowed_extensions=["jsonl", ".jsonl"],
+        )
+        
+        # **.zipのURLをDict型として取得？
+        data_path = DataFilesDict.from_hf_repo(
+            {datasets.Split.TRAIN: ["**"]},
+            dataset_info=hfh_dataset_info,
+            allowed_extensions=["zip", ".zip"],
+        )
+        
+        gs = []
+        for split, files in data_path.items():
+            '''
+            split : "train" or "test" or "val"
+            files : zip files
+            '''
+            # リポジトリからダウンロードしてとりあえずキャッシュしたURLリストを取得
+            split_metadata_path = dl_manager.download_and_extract(split_metadata_paths[split][0])
+            downloaded_files_path = dl_manager.download_and_extract(files) 
+            
+            # 元のコードではzipファイルの中身を"filepath"としてそのまま_generate_exampleに引き渡している？
+            gs.append(
+               datasets.SplitGenerator(
+                  name = split, 
+                  gen_kwargs={
+                     "images" : downloaded_files_path, 
+                     "metadata_path": split_metadata_path
+                     }
+                  )
+            ) 
+        return gs
+
+    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"))
+        file_list = list()
+        caption_list = list()
+        dataIDX_list = list()
+        num_list = list()
+        label_list = list()
+
+        with open(metadata_path) as fin:
+            for line in fin:
+                data =  json.loads(line)
+                file_list.append(data["file_name"])
+                caption_list.append(data["caption"])
+                dataIDX_list.append(data["data_idx"])
+                num_list.append(data["number"])
+                label_list.append(data["label"])
+
+        for idx, (file_path, file_obj) in enumerate(images):
+            yield file_path, {
+                "image": {
+                    "path": file_path, 
+                    "bytes": file_obj.read()
+                },
+                "caption" : caption_list[idx],
+                "data_idx" : dataIDX_list[idx],
+                "number" : num_list[idx],
+                "label": label_list[idx]
+            }
+
+