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https://github.com/NVIDIA-NeMo/DataDesigner
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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.ipynb | ||
| 2-structured-outputs-and-jinja-expressions.ipynb | ||
| 3-seeding-with-a-dataset.ipynb | ||
| 4-providing-images-as-context.ipynb | ||
| 5-generating-images.ipynb | ||
| 6-editing-images-with-image-context.ipynb | ||