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    • Data Curation Recipes
      • Generating a diverse QA dataset
      • Using SimpleStrat block for generating diverse data
      • Curate Reasoning data with Claude-3.7 Sonnet
      • Synthetic Data for function calling
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  1. BESPOKE CURATOR

Data Curation Recipes

PreviousUsing HuggingFace inference providers with CuratorNextGenerating a diverse QA dataset

Last updated 4 days ago

Here are some simple data curation recipes to get you started with generating synthetic data at scale using Curator:

  • Generating a diverse QA dataset

  • Curate Reasoning data with Claude-3.7 Sonnet

  • Using SimpleStrat block for generating diverse data

  • Using SimpleStrat block for generating diverse data

In addition to these examples, we also have the following larger examples in our github repo:

Task

Link(s)

Goal

Reasoning dataset generation (Bespoke Stratos)

Generate the Bespoke-Stratos-17k dataset, focusing on reasoning traces from math, coding, and problem-solving datasets.

Reasoning dataset generation (Open Thoughts)

Generate the Open-Thoughts-114k dataset, focusing on reasoning traces from math, coding, and problem-solving datasets.

3Blue1Brown video generation

Generate videos similar to 3Blue1Brown and render them using code execution.

Code
Code
Code