mirror of
https://github.com/NVIDIA-NeMo/DataDesigner
synced 2026-05-24 09:48:29 +00:00
46358461ee
* fix: repair notebook CI by replacing dead vision model and adding missing API key - Replace `meta/llama-4-scout-17b-16e-instruct` (no longer serving on build.nvidia.com) with `nvidia/nemotron-nano-12b-v2-vl` (project default) in tutorial notebook 4 - Add `OPENROUTER_API_KEY` to the `build-notebooks` workflow so notebooks 5 and 6 (which use OpenRouter for image generation) can authenticate - Regenerate colab notebooks to reflect the model change * fix: handle pyarrow list types in notebook 6 display_image When image columns are loaded from parquet with pyarrow backend, list values are pyarrow ListScalars, not Python lists. The isinstance(x, list) check fails, causing the whole ListScalar to be treated as a single path string (producing filenames ending in `png')]`). Use isinstance(x, str) instead to correctly handle any iterable type. |
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| .. | ||
| 1-the-basics.py | ||
| 2-structured-outputs-and-jinja-expressions.py | ||
| 3-seeding-with-a-dataset.py | ||
| 4-providing-images-as-context.py | ||
| 5-generating-images.py | ||
| 6-editing-images-with-image-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