This page is for version v0.9.2.
For other versions, use one of these documentation indexes:
- Latest (default): https://docs.nvidia.com/nemo/datadesigner/latest/llms.txt
- v0.9.3: https://docs.nvidia.com/nemo/datadesigner/v0.9.3/llms.txt
- v0.9.2: https://docs.nvidia.com/nemo/datadesigner/v0.9.2/llms.txt
- v0.9.1: https://docs.nvidia.com/nemo/datadesigner/v0.9.1/llms.txt
- v0.9.0: https://docs.nvidia.com/nemo/datadesigner/v0.9.0/llms.txt
- v0.8.0: https://docs.nvidia.com/nemo/datadesigner/v0.8.0/llms.txt
- v0.7.0: https://docs.nvidia.com/nemo/datadesigner/v0.7.0/llms.txt
- v0.6.1: https://docs.nvidia.com/nemo/datadesigner/v0.6.1/llms.txt
- v0.6.0: https://docs.nvidia.com/nemo/datadesigner/v0.6.0/llms.txt
- v0.5.9: https://docs.nvidia.com/nemo/datadesigner/v0.5.9/llms.txt
- v0.5.8: https://docs.nvidia.com/nemo/datadesigner/v0.5.8/llms.txt
- Older versions: https://docs.nvidia.com/nemo/datadesigner/older-versions/llms.txt
These tutorials walk through Data Designer end-to-end with executable Jupyter notebooks. Each one runs in Google Colab — no local setup required.
| Notebook | What you learn |
|---|---|
| The Basics | Declare columns, generate your first dataset |
| Structured Outputs, Jinja Expressions, and Conditional Generation | Schema-constrained outputs and dynamic prompts |
| Seeding with an External Dataset | Use existing data as input for generation |
| Providing Images as Context | Multimodal prompts with image inputs, plus the media-context pattern for models that support audio or video |
| Generating Images | Create image columns from text prompts |
| Image-to-Image Editing | Edit images using image context |