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Remove the other columns with the [~datasets.Dataset.remove_columns] method:
minds = minds.remove_columns(["english_transcription", "intent_class", "lang_id"])
Take a look at the example again:
minds["train"][0]
{'audio': {'array': array([-0.00024414, 0. , 0. , , 0.00024414,
0.00024414, 0.00024414], dtype=float32),
'path': '/root/.cache/huggingface/datasets/downloads/extracted/f14948e0e84be638dd7943ac36518a4cf3324e8b7aa331c5ab11541518e9368c/en-US~APP_ERROR/602ba9e2963e11ccd901cd4f.wav',
'sampling_rate': 8000},
'path': '/root/.cache/huggingface/datasets/downloads/extracted/f14948e0e84be638dd7943ac36518a4cf3324e8b7aa331c5ab11541518e9368c/en-US~APP_ERROR/602ba9e2963e11ccd901cd4f.wav',
'transcription': "hi I'm trying to use the banking app on my phone and currently my checking and savings account balance is not refreshing"}
There are two fields:
audio: a 1-dimensional array of the speech signal that must be called to load and resample the audio file. |