Datasets:
mb23
/

Languages:
English
License:
mickylan2367 commited on
Commit
4406abe
·
2 Parent(s): 7cd9a1e 30f2ad8

Merge branch 'main' of https://huggingface.co/datasets/mb23/GraySpectrogram

Browse files
Files changed (1) hide show
  1. GraySpectrogram.py +10 -9
GraySpectrogram.py CHANGED
@@ -94,7 +94,7 @@ class GraySpectrogramConfig(datasets.BuilderConfig):
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  class GraySpectrogram(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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- data_urls, metadata_urls = get_information()
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  BUILDER_CONFIGS = [
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  GraySpectrogramConfig(
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  name="data 0-200",
@@ -195,22 +195,23 @@ class GraySpectrogram(datasets.GeneratorBasedBuilder):
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  def _split_generators(self, dl_manager: DownloadManager):
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- metadata_paths = dl_manager.download(self.config.metadata_url)
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- data_paths = dl_manager.download(self.config.data_url)
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-
 
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  return [
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  datasets.SplitGenerator(
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  name=datasets.Split.TRAIN,
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  gen_kwargs={
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- "images": dl_manager.iter_archive(data_paths["train"]),
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- "metadata_path": metadata_paths["train"],
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  }
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  ),
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  datasets.SplitGenerator(
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  name=datasets.Split.TEST,
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  gen_kwargs={
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- "images": dl_manager.iter_archive(data_paths["test"]),
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- "metadata_path": metadata_paths["test"],
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  }
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  ),
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  ]
@@ -292,7 +293,7 @@ class GraySpectrogram(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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  class GraySpectrogram(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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+ metadata_urls, data_urls = get_information()
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  BUILDER_CONFIGS = [
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  GraySpectrogramConfig(
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  name="data 0-200",
 
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  def _split_generators(self, dl_manager: DownloadManager):
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+ train_metadata_path = dl_manager.download_and_extract(self.config.metadata_url["train"])
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+ test_metadata_path = dl_manager.download_and_extract(self.config.metadata_url["test"])
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+ train_data_path = dl_manager.download(self.config.data_url["train"])
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+ test_data_path = dl_manager.download(self.config.data_url["test"])
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  return [
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  datasets.SplitGenerator(
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  name=datasets.Split.TRAIN,
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  gen_kwargs={
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+ "images": dl_manager.iter_archive(train_data_path),
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+ "metadata_path": train_metadata_path,
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  }
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  ),
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  datasets.SplitGenerator(
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  name=datasets.Split.TEST,
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  gen_kwargs={
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+ "images": dl_manager.iter_archive(test_data_path),
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+ "metadata_path": test_metadata_path,
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  }
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  ),
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  ]
 
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  num_list = list()
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  label_list = list()
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+ with open(metadata_path, encoding="utf-8") 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"])