mickylan2367 commited on
Commit
156906c
2 Parent(s): af46bc9 ce45430

Merge branch 'main' of https://huggingface.co/datasets/mickylan2367/LoadingScrptPractice

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Files changed (1) hide show
  1. try.py → LoadingScriptPractice.py +11 -16
try.py → LoadingScriptPractice.py RENAMED
@@ -32,7 +32,7 @@ Using for Project Learning...
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  # https://huggingface.co/docs/datasets/about_dataset_load
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34
 
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- class spectrogram_musicCapsConfig(datasets.BuilderConfig):
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  """Builder Config for spectrogram_MusicCaps"""
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  def __init__(self, **kwargs):
@@ -42,23 +42,18 @@ class spectrogram_musicCapsConfig(datasets.BuilderConfig):
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  metadata_urls: dictionary with keys 'train' and 'validation' containing the archive metadata URLs
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  **kwargs: keyword arguments forwarded to super.
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  """
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- super(spectrogram_musicCapsConfig, self).__init__(version=datasets.Version("1.0.0"), **kwargs)
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  # self.data_url = data_url
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  # self.metadata_urls = metadata_urls
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- class spectrogram_musicCaps(datasets.GeneratorBasedBuilder):
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  # データのサブセットはここで用意
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  BUILDER_CONFIGS = [
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- spectrogram_musicCapsConfig(
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- name="MusicCaps data 0_10",
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- description="Datasets from MusicCaps by Mikan",
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- ),
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-
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- # spectrogram_musicCapsConfig(
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- # name="MusicCpas data 10_100",
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- # description="Datasets second action by Mikan",
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- # )
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  ]
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  def _info(self):
@@ -104,7 +99,7 @@ class spectrogram_musicCaps(datasets.GeneratorBasedBuilder):
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  files : zip files
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  '''
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  # 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
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- split_metadata_path = dl_manager.download_and_extract(split_metadata_paths[split][0])
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  downloaded_files_path = dl_manager.download_and_extract(files)
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  # 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?
@@ -112,14 +107,14 @@ class spectrogram_musicCaps(datasets.GeneratorBasedBuilder):
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  datasets.SplitGenerator(
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  name = split,
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  gen_kwargs={
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- "images" : downloaded_files_path,
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  "metadata_path": split_metadata_path
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  }
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  )
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  )
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  return gs
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- def _generate_examples(self, images, metadata_path):
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  """Generate images and captions for splits."""
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  # with open(metadata_path, encoding="utf-8") as f:
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  # files_to_keep = set(f.read().split("\n"))
@@ -129,7 +124,7 @@ class spectrogram_musicCaps(datasets.GeneratorBasedBuilder):
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  num_list = list()
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  label_list = list()
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- with open(metadata_path) as fin:
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  for line in fin:
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  data = json.loads(line)
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  file_list.append(data["file_name"])
 
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  # https://huggingface.co/docs/datasets/about_dataset_load
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+ class LoadingScriptPracticeConfig(datasets.BuilderConfig):
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  """Builder Config for spectrogram_MusicCaps"""
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  def __init__(self, **kwargs):
 
42
  metadata_urls: dictionary with keys 'train' and 'validation' containing the archive metadata URLs
43
  **kwargs: keyword arguments forwarded to super.
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  """
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+ super(LoadingScriptPracticeConfig, self).__init__(version=datasets.Version("1.0.0"), **kwargs)
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  # self.data_url = data_url
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  # self.metadata_urls = metadata_urls
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+ class LoadingScriptPractice(datasets.GeneratorBasedBuilder):
50
 
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  # データのサブセットはここで用意
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  BUILDER_CONFIGS = [
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+ LoadingScriptPracticeConfig(
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+ name="MusicCaps data 0_3",
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+ description="this Datasets is personal practice for using loadingScript. Data is from Google/MusicCaps",
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+ )
 
 
 
 
 
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  ]
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  def _info(self):
 
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  files : zip files
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  '''
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  # 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
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+ split_metadata_path = split_metadata_paths[split][0]
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  downloaded_files_path = dl_manager.download_and_extract(files)
104
 
105
  # 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?
 
107
  datasets.SplitGenerator(
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  name = split,
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  gen_kwargs={
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+ "images" : dl_manager.iter_archive(downloaded_files_path),
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  "metadata_path": split_metadata_path
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  }
113
  )
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  )
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  return gs
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+ def _generate_examples(self, images, metadata_path, dl_manager:DownloadManager):
118
  """Generate images and captions for splits."""
119
  # with open(metadata_path, encoding="utf-8") as f:
120
  # files_to_keep = set(f.read().split("\n"))
 
124
  num_list = list()
125
  label_list = list()
126
 
127
+ with open(dl_manager.download_and_extract(metadata_path)) as fin:
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  for line in fin:
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  data = json.loads(line)
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  file_list.append(data["file_name"])