```py
        >>> from datasets import load_dataset, Audio
        >>> ds = load_dataset("PolyAI/minds14", name="en-US", split="train", streaming=True)
        >>> ds.features
        {'audio': Audio(sampling_rate=8000, mono=True, decode=True, id=None),
         'english_transcription': Value(dtype='string', id=None),
         'intent_class': ClassLabel(num_classes=14, names=['abroad', 'address', 'app_error', 'atm_limit', 'balance', 'business_loan',  'card_issues', 'cash_deposit', 'direct_debit', 'freeze', 'high_value_payment', 'joint_account', 'latest_transactions', 'pay_bill'], id=None),
         'lang_id': ClassLabel(num_classes=14, names=['cs-CZ', 'de-DE', 'en-AU', 'en-GB', 'en-US', 'es-ES', 'fr-FR', 'it-IT', 'ko-KR',  'nl-NL', 'pl-PL', 'pt-PT', 'ru-RU', 'zh-CN'], id=None),
         'path': Value(dtype='string', id=None),
         'transcription': Value(dtype='string', id=None)}
        >>> ds = ds.cast_column("audio", Audio(sampling_rate=16000))
        >>> ds.features