DataGenerationConfig

Generate synthetic data using a model for finetuning an LLM.

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