Data Augmentation Service

The Data Augmentation Service enables users to expand their datasets by generating additional data rows based on existing data or creating a new preference dataset. This service is particularly useful for model fine-tuning, leading to better performance by introducing more varied data.

Users can specify details about the data to be augmented, including source type and data split, and choose between two tasks: generating evolved instructions or generating preference datasets.

Note: Due to OpenAI token generation Rate limits, right now the service is avialable to models with > 400,000 TPM. accesible through Tier 2 and above accounts.

Click Try It! to start a request and see the response here!