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Datasets:
edgarcancinoe
/
celebahq_512_id_clusters

Tasks:
Image Classification
Modalities:
Image
Text
Formats:
parquet
Size:
10K - 100K
ArXiv:
Tags:
faces
celeba-hq
identity-clustering
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CelebA-HQ 512 with SRK identity labels

This dataset accompanies PIU: Proximity-guided Identity Unlearning in ID-Conditioned Diffusion Models. It contains 27,996 CelebA-HQ images at 512x512, their cluster annotations, and the paper's ArcFace artifacts.

Files

  • data/*.parquet: images, filenames, cluster IDs, and cluster sizes.
  • paper_artifacts/embeddings.npy: one embedding per image.
  • paper_artifacts/srk_labels_eps0.35.npy: the identity labels used in the paper.
  • paper_artifacts/srk_centroids_eps0.35.npy: the corresponding identity centroids.

The Parquet rows map to the paper arrays by row order; file_name identifies each image. Use srk_labels_eps0.35.npy to reproduce the paper. Parquet cluster_id values are a separate export and should not be assumed to match the paper label IDs.

The labels are automatically inferred with cosine-distance DBSCAN (eps=0.35, min_samples=2). They are not official CelebA-HQ identity labels.

References

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Number of rows:
27,996
Total file size:
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Paper for edgarcancinoe/celebahq_512_id_clusters