stages.synthetic.nemotron_cc.base#
This module contains a simple stage for generating synthetic data. It takes in Empty task and a prompt and produces the output in form of a DocumentBatch.
Module Contents#
Classes#
A simple stage for generating synthetic data. It takes in Empty task and a prompt and produces the output in form of a DocumentBatch. |
API#
- class stages.synthetic.nemotron_cc.base.BaseSyntheticStage#
Bases:
nemo_curator.stages.base.ProcessingStage[nemo_curator.tasks.DocumentBatch,nemo_curator.tasks.DocumentBatch]A simple stage for generating synthetic data. It takes in Empty task and a prompt and produces the output in form of a DocumentBatch.
- client: nemo_curator.models.client.llm_client.AsyncLLMClient | nemo_curator.models.client.llm_client.LLMClient#
None
- generation_config: nemo_curator.models.client.llm_client.GenerationConfig | None#
None
- input_field: str#
None
- inputs() tuple[list[str], list[str]]#
Define stage input requirements.
Returns (tuple[list[str], list[str]]): Tuple of (required_attributes, required_columns) where: - required_top_level_attributes: List of task attributes that must be present - required_data_attributes: List of attributes within the data that must be present
- model_name: str#
None
- property name: str#
- output_field: str#
None
- outputs() tuple[list[str], list[str]]#
Define stage output specification.
Returns (tuple[list[str], list[str]]): Tuple of (output_attributes, output_columns) where: - output_top_level_attributes: List of task attributes this stage adds/modifies - output_data_attributes: List of attributes within the data that this stage adds/modifies
- process(
- batch: nemo_curator.tasks.DocumentBatch,
Process a task and return the result. Args: task (X): Input task to process Returns (Y | list[Y]): - Single task: For 1-to-1 transformations - List of tasks: For 1-to-many transformations (e.g., readers) - None: If the task should be filtered out
- prompt: str#
None
- setup(
- _: nemo_curator.backends.base.WorkerMetadata | None = None,
Setup method called once before processing begins. Override this method to perform any initialization that should happen once per worker. Args: worker_metadata (WorkerMetadata, optional): Information about the worker (provided by some backends)
- system_prompt: str#
None