chunk_content: ll only be training on the sentence and audio columns, so you can remove the rest of the metadata with remove_columns:
  
  
  	Copied
  common_voice = common_voice.remove_columns(
      ["accent", "age", "client_id", "down_votes", "gender", "locale", "path", "segment", "up_votes"]
  )
  common_voice["train"][0]
  {
      "audio": {
          "path": "/root/.cache/huggingface/datasets/downloads/extracted/f7e1ef6a2d14f20194999aad5040c5d4bb3ead1377de3e1bbc6e9dba34d1