mirror of
https://github.com/NVIDIA-NeMo/DataDesigner
synced 2026-05-24 09:48:29 +00:00
b6d400ef7d
- Convert notebook 3 from string-based columns to class specs (dd.SamplerColumnConfig, etc.) - Fix grammar: "is the main object is responsible" → "is the main object responsible" - Remove stray "A" at end of URL in notebook 2 - Remove empty markdown cell in notebook 4 - Add missing data_designer.validate() call in notebook 4 - Regenerate colab notebooks from source |
||
|---|---|---|
| .. | ||
| 1-the-basics.py | ||
| 2-structured-outputs-and-jinja-expressions.py | ||
| 3-seeding-with-a-dataset.py | ||
| 4-providing-images-as-context.py | ||
| _pyproject.toml | ||
| _README.md | ||
| README.md | ||
📓 Notebooks in .py Format
In this folder you can find all our tutorial notebooks in .py format. They can be converted to actual Jupyter notebooks by typing
make convert-execute-notebooks
from the root of the repository. This will not only convert but also execute all of the notebooks -- for that to work, make sure you went through our Quick Start and have API keys set. A new folder docs/notebooks will be created, including README.md and pyproject.toml files.
Alternatively, you can use Jupytext directly
uv run --group notebooks --group docs jupytext --to ipynb *.py
🔄 Converting Jupyter notebooks to .py
If you want to contribute with your own notebook, you can use the following command to generate .py files in the same format as the ones in this folder:
uv run jupytext --to py [notebook-name].ipynb -o [notebook-name].py