data_juicer_agents.tools.context.list_dataset_fields#

list_dataset_fields tool package.

class data_juicer_agents.tools.context.list_dataset_fields.ListDatasetFieldsInput(*, filter_prefix: str | None = None, include_descriptions: bool = True)[source]#

Bases: BaseModel

Input for list_dataset_fields.

This tool lists all dataset-related configuration fields recognized by Data-Juicer, including their types, default values, and descriptions. Use this before build_dataset_spec to discover advanced dataset options such as export_type, export_shard_size, load_dataset_kwargs, suffixes, or modality special tokens.

filter_prefix: str | None#
include_descriptions: bool#
model_config = {}#

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

data_juicer_agents.tools.context.list_dataset_fields.list_dataset_fields(*, filter_prefix: str | None = None, include_descriptions: bool = True) → Dict[str, Any][source]#

List dataset-related configuration fields from Data-Juicer.

This function lists all available dataset configuration parameters from Data-Juicer, including their types, default values, and descriptions.

Parameters:

  • filter_prefix – Optional filter to show only parameters matching this prefix

  • include_descriptions – Whether to include parameter descriptions

Returns:

Dict containing configuration information and available parameters