Edmon02 commited on
Commit
4d02ed1
1 Parent(s): 5bc63c4

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +4 -11
app.py CHANGED
@@ -90,9 +90,7 @@ class HySpeech(datasets.GeneratorBasedBuilder):
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  datasets.SplitGenerator(
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  name=datasets.Split.TRAIN,
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  gen_kwargs={
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- "audio_archives": {
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- 'hy': [dl_manager.iter_archive(archive) for archive in audio_paths["train"]]
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- },
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  "local_extracted_archives_paths": local_extracted_audio_paths["train"],
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  "metadata_paths": meta_paths["train"],
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  }
@@ -100,9 +98,7 @@ class HySpeech(datasets.GeneratorBasedBuilder):
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  datasets.SplitGenerator(
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  name=datasets.Split.VALIDATION,
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  gen_kwargs={
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- "audio_archives": {
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- 'hy': [dl_manager.iter_archive(archive) for archive in audio_paths["dev"]]
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- },
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  "local_extracted_archives_paths": local_extracted_audio_paths["dev"],
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  "metadata_paths": meta_paths["dev"],
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  }
@@ -110,9 +106,7 @@ class HySpeech(datasets.GeneratorBasedBuilder):
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  datasets.SplitGenerator(
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  name=datasets.Split.TEST,
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  gen_kwargs={
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- "audio_archives": {
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- 'hy': [dl_manager.iter_archive(archive) for archive in audio_paths["test"]]
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- },
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  "local_extracted_archives_paths": local_extracted_audio_paths["test"],
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  "metadata_paths": meta_paths["test"],
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  }
@@ -128,9 +122,8 @@ class HySpeech(datasets.GeneratorBasedBuilder):
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  with open(meta_path) as f:
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  metadata = {x["audio_path"].split(os.sep)[-1].split(".wav")[0]: x for x in csv.DictReader(f, delimiter="\t")}
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- print(metadata)
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- for audio_archive, local_extracted_archive_path in zip(audio_archives['hy'], local_extracted_archives_paths):
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  for audio_filename, audio_file in audio_archive:
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  audio_id = audio_filename.split(os.sep)[-1].split(".wav")[0]
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  path = os.path.join(local_extracted_archive_path, audio_filename) if local_extracted_archive_path else audio_filename
 
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  datasets.SplitGenerator(
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  name=datasets.Split.TRAIN,
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  gen_kwargs={
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+ "audio_archives": [dl_manager.iter_archive(archive) for archive in audio_paths["train"]],
 
 
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  "local_extracted_archives_paths": local_extracted_audio_paths["train"],
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  "metadata_paths": meta_paths["train"],
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  }
 
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  datasets.SplitGenerator(
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  name=datasets.Split.VALIDATION,
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  gen_kwargs={
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+ "audio_archives": [dl_manager.iter_archive(archive) for archive in audio_paths["dev"]],
 
 
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  "local_extracted_archives_paths": local_extracted_audio_paths["dev"],
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  "metadata_paths": meta_paths["dev"],
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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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+ "audio_archives": [dl_manager.iter_archive(archive) for archive in audio_paths["test"]],
 
 
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  "local_extracted_archives_paths": local_extracted_audio_paths["test"],
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  "metadata_paths": meta_paths["test"],
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  }
 
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  with open(meta_path) as f:
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  metadata = {x["audio_path"].split(os.sep)[-1].split(".wav")[0]: x for x in csv.DictReader(f, delimiter="\t")}
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+ for audio_archive, local_extracted_archive_path in zip(audio_archives, local_extracted_archives_paths):
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  for audio_filename, audio_file in audio_archive:
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  audio_id = audio_filename.split(os.sep)[-1].split(".wav")[0]
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  path = os.path.join(local_extracted_archive_path, audio_filename) if local_extracted_archive_path else audio_filename