| Specify a maximum sample length, and the feature extractor will either pad or truncate the sequences to match it: | |
| def preprocess_function(examples): | |
| audio_arrays = [x["array"] for x in examples["audio"]] | |
| inputs = feature_extractor( | |
| audio_arrays, | |
| sampling_rate=16000, | |
| padding=True, | |
| max_length=100000, | |
| truncation=True, | |
| ) | |
| return inputs | |
| Apply the preprocess_function to the first few examples in the dataset: | |
| processed_dataset = preprocess_function(dataset[:5]) | |
| The sample lengths are now the same and match the specified maximum length. |