dlxj commited on
Commit ·
eecbab9
1
Parent(s): 0cd4b22
同时生成多个tar 数据集
Browse files- convert_ja_tar.py +32 -11
- readme.txt +8 -2
convert_ja_tar.py
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@@ -7,17 +7,38 @@ sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "scripts
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import convert_to_tarred_audio_dataset
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def main():
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if __name__ == "__main__":
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main()
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import convert_to_tarred_audio_dataset
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def main():
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datasets = [
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{
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"manifest_path": "data/common_voice_11_0/ja/train/train_common_voice_11_0_manifest.json",
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"target_dir": "data/common_voice_11_0/ja/train_tarred_1bk",
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"num_shards": 1024
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},
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{
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"manifest_path": "data/common_voice_11_0/ja/validation/validation_common_voice_11_0_manifest.json",
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"target_dir": "data/common_voice_11_0/ja/validation_tarred_1bk",
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"num_shards": 32 # 验证集通常比训练集小,使用较少的 shard
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},
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{
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"manifest_path": "data/common_voice_11_0/ja/test/test_common_voice_11_0_manifest.json",
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"target_dir": "data/common_voice_11_0/ja/test_tarred_1bk",
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"num_shards": 32 # 测试集通常比训练集小,使用较少的 shard
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}
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]
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for dataset in datasets:
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print(f"Processing dataset: {dataset['manifest_path']}")
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convert_to_tarred_audio_dataset.create_tar_datasets(
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manifest_path=dataset["manifest_path"],
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target_dir=dataset["target_dir"],
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num_shards=dataset["num_shards"],
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max_duration=15.0,
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min_duration=1.0,
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shuffle=True,
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shuffle_seed=1,
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sort_in_shards=True,
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workers=-1
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)
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print(f"Finished processing dataset: {dataset['manifest_path']}\n")
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if __name__ == "__main__":
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main()
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readme.txt
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@@ -56,8 +56,14 @@ python scripts/speech_recognition/convert_to_tarred_audio_dataset.py \
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--workers=-1
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--workers=-1
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生成 tar 数据集
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convert_ja_tar.py
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修复 nemo-toolkit 中的 SIGKILL 问题
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python patch_nemo.py
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