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@@ -48,7 +48,7 @@ librispeech = load_dataset("esc-benchmark/esc-datasets", "librispeech", split="t
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  - `split="train"`: the split. Set this to one of train/validation/test to generate a specific split. Omit the `split` argument to generate all splits for a dataset.
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- The datasets are full prepared, such that the audio and transcription files can be used directly in training/evaluation scripts.
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  For three datasets of the benchmark: GigaSpeech, SPGISpeech, and Librispeech we provide different configurations.
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  You can load a specific configuration by passing it to the `"subconfig"` parameter:
 
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  - `split="train"`: the split. Set this to one of train/validation/test to generate a specific split. Omit the `split` argument to generate all splits for a dataset.
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+ The datasets are fully prepared, such that the audio and transcription files can be used directly in training/evaluation scripts.
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  For three datasets of the benchmark: GigaSpeech, SPGISpeech, and Librispeech we provide different configurations.
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  You can load a specific configuration by passing it to the `"subconfig"` parameter: