chunked/nltk_chunking/tasks_asr/chunk_9.txt

def prepare_dataset(batch):
     audio = batch["audio"]
     batch = processor(audio["array"], sampling_rate=audio["sampling_rate"], text=batch["transcription"])
     batch["input_length"] = len(batch["input_values"][0])
     return batch

To apply the preprocessing function over the entire dataset, use 🤗 Datasets [~datasets.Dataset.map] function.