Datasets:
Commit
•
e4147e9
1
Parent(s):
878fae4
wavpath issue fixed
Browse files- tibetan_voice.py +12 -8
tibetan_voice.py
CHANGED
@@ -97,9 +97,6 @@ class TibetanVoice(datasets.GeneratorBasedBuilder):
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downloaded_wav = dl_manager.download(_DataUrl)
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wavs= dl_manager.iter_archive(downloaded_wav)
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downloaded_wav = dl_manager.download_and_extract(_DataUrl)
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return [
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"],"wavs":wavs,'wavfilepath':downloaded_wav}),
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datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["valid"],"wavs":wavs,'wavfilepath':downloaded_wav}),
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@@ -112,19 +109,25 @@ class TibetanVoice(datasets.GeneratorBasedBuilder):
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logger.info("generating examples from = %s", filepath)
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with open(filepath, encoding="utf-8") as f:
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reader = csv.reader(f, delimiter='\t')
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for row in reader:
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if len(row) >= 2:
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path = row[
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sentence = row[
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audio_map = {}
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for path, f in wavs:
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_, filename = os.path.split(path)
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audio_map[filename] = {"path": wavfilepath
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for key, path in enumerate(example_map.keys()):
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sentence = example_map.get(filename, "")
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audio = audio_map.get(filename, {})
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example = {
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@@ -132,6 +135,7 @@ class TibetanVoice(datasets.GeneratorBasedBuilder):
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"sentence": sentence,
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"audio": audio
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}
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yield key, example
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downloaded_wav = dl_manager.download(_DataUrl)
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wavs= dl_manager.iter_archive(downloaded_wav)
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downloaded_wav = dl_manager.download_and_extract(_DataUrl)
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return [
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"],"wavs":wavs,'wavfilepath':downloaded_wav}),
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datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["valid"],"wavs":wavs,'wavfilepath':downloaded_wav}),
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logger.info("generating examples from = %s", filepath)
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with open(filepath, encoding="utf-8") as f:
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reader = csv.reader(f, delimiter='\t')
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for row in reader:
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if len(row) >= 2:
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path = row[1]
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sentence = row[2]
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if(str(path)!='path'):
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example_map[path] = sentence
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else :
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continue
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audio_map = {}
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for path, f in wavs:
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_, filename = os.path.split(path)
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audio_map[filename] = {"path":os.path.join( wavfilepath,path), "bytes": f.read()}
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for key, path in enumerate(example_map.keys()):
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filename = path
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sentence = example_map.get(filename, "")
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audio = audio_map.get(filename, {})
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example = {
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"sentence": sentence,
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"audio": audio
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}
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yield key, example
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