data_juicer.ops.grouper.key_value_grouper module#

class data_juicer.ops.grouper.key_value_grouper.KeyValueGrouper(group_by_keys: List[str] | None = None, *args, **kwargs)[source]#

Bases: Grouper

Group samples to batched samples according values in given keys.

__init__(group_by_keys: List[str] | None = None, *args, **kwargs)[source]#

Initialization method.

Parameters:
  • group_by_keys โ€“ group samples according values in the keys. Support for nested keys such as โ€œ__dj__stats__.text_lenโ€. It is [self.text_key] in default.

  • args โ€“ extra args

  • kwargs โ€“ extra args

process(dataset)[source]#

Dataset โ€“> dataset.

Parameters:

dataset โ€“ input dataset

Returns:

dataset of batched samples.