data_juicer.ops.selector.frequency_specified_field_selector module

class data_juicer.ops.selector.frequency_specified_field_selector.FrequencySpecifiedFieldSelector(field_key: str = '', top_ratio: Annotated[float, FieldInfo(annotation=NoneType, required=True, metadata=[Ge(ge=0), Le(le=1)])] | None = None, topk: Annotated[int, Gt(gt=0)] | None = None, reverse: bool = True, *args, **kwargs)[source]

Bases: Selector

Selector to select samples based on the sorted frequency of specified field.

__init__(field_key: str = '', top_ratio: Annotated[float, FieldInfo(annotation=NoneType, required=True, metadata=[Ge(ge=0), Le(le=1)])] | None = None, topk: Annotated[int, Gt(gt=0)] | None = None, reverse: bool = True, *args, **kwargs)[source]

Initialization method.

Parameters:

  • field_key – Selector based on the specified value corresponding to the target key. The target key corresponding to multi-level field information need to be separated by ‘.’.

  • top_ratio – Ratio of selected top specified field value, samples will be selected if their specified field values are within this parameter. When both topk and top_ratio are set, the value corresponding to the smaller number of samples will be applied.

  • topk – Number of selected top specified field value, samples will be selected if their specified field values are within this parameter. When both topk and top_ratio are set, the value corresponding to the smaller number of samples will be applied.

  • reverse – Determine the sorting rule, if reverse=True, then sort in descending order.

  • args – extra args

  • kwargs – extra args

process(dataset)[source]

Dataset –> dataset.

Parameters:

dataset – input dataset

Returns:

selected dataset.