Getting Started

Bespoke Curator makes it easy to create synthetic data pipelines. Whether you are training a model or extracting structure, Curator will prepare high-quality data quickly and robustly.

• Rich Python based library for generating and curating synthetic data.

• Interactive viewer to monitor data while it is being generated

• First class support for structured outputs

• Built-in performance optimizations for asynchronous operations, caching, and fault recovery at every scale

• Support for a wide range of inference options via LiteLLM, vLLM, and popular batch APIs

In addition, we are actively working on improving the library. Expect more changes to come in the future:

1. Verifiers: filter outputs to improve your data quality with models like Bespoke-MiniCheck, or with code executors.

2. MCTS: explore reasoning trajectories using Monte Carlo Tree Search.

3. Data versioning: version your data along with the code that generates it.

4. Diversity and data quality indicators: understand the quality of your data.

5. Curator viewer: visualize and explore your generated data.

Next, let's take a Quick Tour of the Curator library!