DataGenerationConfig

Generate synthetic data using a model for finetuning an LLM.

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