DataGenerationConfig

Generate synthetic data using a model for finetuning an LLM.

KEY TYPE Description
seed Optional[int] Seed for random number generation.
completionCol str Name of the output completion column.
concurrency int Number of concurrent processes.
temperature float Sampling temperature for the model.
subsetSize Optional[int] Size of the subset to use for generation.
model str Model to use for data generation.
fewshotExamples int Number of fewshot examples used to prompt the model.
oversample bool Whether to oversample the data.
documentationCharLimit int Character limit for documentation.
generationInstructions str Instructions for the data generation model.
verifyResponse bool Whether to verify the response.
frequencyPenalty float Penalty for frequency of token appearance.
idCol str Name of the identifier column.
examplesPerTarget int Number of examples per target.
descriptionCol str Name of the description column.
tokenBudget int Token budget for generation.
promptCol str Name of the input prompt column.
© Copyright