scripts/run_prompt_creation.py [168:195]:
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        metadata={"help": "Save the generated prompts every save_steps."},
    )
    save_total_limit: Optional[int] = field(
        default=1, metadata={"help": ("If a value is passed, will limit the total number of saved checkpoints")}
    )
    speaker_name: Optional[str] = field(
        default=None,
        metadata={"help": "If `is_single_speaker`, it specified the speaker name that you want to give to the mono-speaker of your dataset."},
    )
    is_single_speaker: Optional[bool] = field(
        default=False, metadata={"help": "Whether to use a single speaker prompt, with a single name, specified by `speaker_name`."}
    )
    is_new_speaker_prompt: Optional[bool] = field(
        default=False, metadata={"help": "Whether to use the newest speaker prompt, which will be used for the next Parler-TTS."}
    )
    speaker_id_column: Optional[str] = field(
        default=None, metadata={"help": "Speaker id column name. Only used if creating a dataset with multiple speaker names (i.e if `speaker_ids_to_name_json` is specified)"}
    )
    speaker_ids_to_name_json: Optional[str] = field(
        default=None, metadata={"help": "Path to a JSON file which map some speaker ids to some names. Only used if `speaker_id_column` is specified."}
    )
    accent_column: Optional[str] = field(
        default=None, metadata={"help": "Accent column name, if any."}
    )


    def __post_init__(self):
        if self.push_to_hub and self.hub_dataset_id is None:
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scripts/run_prompt_creation_llm_swarm.py [155:181]:
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        metadata={"help": "Save the generated prompts every save_steps."},
    )
    save_total_limit: Optional[int] = field(
        default=1, metadata={"help": ("If a value is passed, will limit the total number of saved checkpoints")}
    )
    speaker_name: Optional[str] = field(
        default=None,
        metadata={"help": "If `is_single_speaker`, it specified the speaker name that you want to give to the mono-speaker of your dataset."},
    )
    is_single_speaker: Optional[bool] = field(
        default=False, metadata={"help": "Whether to use a single speaker prompt, with a single name, specified by `speaker_name`."}
    )
    is_new_speaker_prompt: Optional[bool] = field(
        default=False, metadata={"help": "Whether to use the newest speaker prompt, which will be used for the next Parler-TTS."}
    )
    speaker_id_column: Optional[str] = field(
        default=None, metadata={"help": "Speaker id column name. Only used if creating a dataset with multiple speaker names (i.e if `speaker_ids_to_name_json` is specified)"}
    )
    speaker_ids_to_name_json: Optional[str] = field(
        default=None, metadata={"help": "Path to a JSON file which map some speaker ids to some names. Only used if `speaker_id_column` is specified."}
    )
    accent_column: Optional[str] = field(
        default=None, metadata={"help": "Accent column name, if any."}
    )

    def __post_init__(self):
        if self.push_to_hub and self.hub_dataset_id is None:
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