chunked/nltk_chunking/tasks_audio_classification/chunk_4.txt

Remove the other columns with the [~datasets.Dataset.remove_columns] method:

minds = minds.remove_columns(["path", "transcription", "english_transcription", "lang_id"])

Take a look at an example now:

minds["train"][0]
{'audio': {'array': array([ 0.        ,  0.        ,  0.        , , -0.00048828,
         -0.00024414, -0.00024414], dtype=float32),
  'path': '/root/.cache/huggingface/datasets/downloads/extracted/f14948e0e84be638dd7943ac36518a4cf3324e8b7aa331c5ab11541518e9368c/en-US~APP_ERROR/602b9a5fbb1e6d0fbce91f52.wav',
  'sampling_rate': 8000},
 'intent_class': 2}

There are two fields:

audio: a 1-dimensional array of the speech signal that must be called to load and resample the audio file.