scripts/per_dataset_script/add_gender_to_MLS.py [7:27]:
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if __name__ == "__main__":
    set_start_method("spawn")
    parser = argparse.ArgumentParser()
    
    
    parser.add_argument("dataset_name", type=str, help="Repo id or local path.")
    parser.add_argument("tsv_path", default=None, type=str, help="Text column name.")
    parser.add_argument("--configuration", default=None, type=str, help="Dataset configuration to use.")
    parser.add_argument("--output_dir", default=None, type=str, help="If specified, save the dasaset on disk.")
    parser.add_argument("--repo_id", default=None, type=str, help="If specified, push the model to the hub.")
    parser.add_argument("--speaker_id_column_name", default="speaker_id", type=str, help="Audio column name.")
    parser.add_argument("--cpu_num_workers", default=1, type=int, help="Number of CPU workers for transformations that don't use GPUs or if no GPU are available.")

    args = parser.parse_args()
    
    if args.configuration:
        dataset = load_dataset(args.dataset_name, args.configuration)
    else:
        dataset = load_dataset(args.dataset_name)
        
    speaker_id_column_name = args.speaker_id_column_name
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scripts/per_dataset_script/add_gender_to_libritts_r.py [7:27]:
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if __name__ == "__main__":
    set_start_method("spawn")
    parser = argparse.ArgumentParser()
    
    
    parser.add_argument("dataset_name", type=str, help="Repo id or local path.")
    parser.add_argument("tsv_path", default=None, type=str, help="Text column name.")
    parser.add_argument("--configuration", default=None, type=str, help="Dataset configuration to use.")
    parser.add_argument("--output_dir", default=None, type=str, help="If specified, save the dasaset on disk.")
    parser.add_argument("--repo_id", default=None, type=str, help="If specified, push the model to the hub.")
    parser.add_argument("--speaker_id_column_name", default="speaker_id", type=str, help="Audio column name.")
    parser.add_argument("--cpu_num_workers", default=1, type=int, help="Number of CPU workers for transformations that don't use GPUs or if no GPU are available.")

    args = parser.parse_args()
    
    if args.configuration:
        dataset = load_dataset(args.dataset_name, args.configuration)
    else:
        dataset = load_dataset(args.dataset_name)
        
    speaker_id_column_name = args.speaker_id_column_name
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