The tutorial notebooks were failing with 404 errors because hf_hub_download()
defaults to looking for model repositories, not dataset repositories.
Fixed by adding repo_type="dataset" parameter to all hf_hub_download() calls in:
- object_detection.ipynb (3 downloads: labels.pkl, predictions.pkl, example_images.zip)
- segmentation.ipynb (2 downloads: given_masks.npy, predicted_masks.npy)
- token_classification.ipynb (1 download: pred_probs.npz)
This ensures the downloads use the correct URL format:
https://huggingface.co/datasets/Cleanlab/... instead of
https://huggingface.co/Cleanlab/...
🤖 Generated with Claude Code
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Replace S3 URLs with HuggingFace Hub dataset loading across all 4 tutorials:
- improving_ml_performance.ipynb: Use load_dataset("Cleanlab/student-grades")
- object_detection.ipynb: Use hf_hub_download for labels, predictions, and images
- segmentation.ipynb: Use hf_hub_download for given_masks and predicted_masks
- token_classification.ipynb: Use hf_hub_download for pred_probs
All tutorials now load data from HuggingFace Hub instead of S3, with proper
imports and dependencies added (datasets, huggingface_hub).
🤖 Generated with Claude Code
Matthew Turk