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vae_latents
list | scores
list |
|---|---|
[0.342529296875,0.47802734375,0.345947265625,0.357421875,0.3603515625,0.28369140625,0.10693359375,-0(...TRUNCATED) | [-0.8128167986869812,-0.894993245601654,-1.0568575859069824,0.06556347012519836,-1.0118179321289062,(...TRUNCATED) |
[-0.37890625,1.126953125,1.0498046875,1.0029296875,0.77294921875,0.5615234375,0.2470703125,-1.073242(...TRUNCATED) | [-0.2053755819797516,-0.7853504419326782,-0.4087272882461548,2.1172029972076416,-0.9917187690734863,(...TRUNCATED) |
[3.927734375,1.919921875,1.6552734375,1.53125,1.9482421875,1.6064453125,1.595703125,1.8583984375,1.8(...TRUNCATED) | [-1.029866337776184,-0.27730607986450195,0.22719404101371765,-0.6356423497200012,-1.0255006551742554(...TRUNCATED) |
[-0.296875,-0.212890625,0.0823974609375,-0.58642578125,-0.724609375,0.00989532470703125,0.8579101562(...TRUNCATED) | [-1.057832956314087,0.10407734662294388,0.6221705675125122,-0.8073378801345825,-0.9905639886856079,0(...TRUNCATED) |
[1.4931640625,1.154296875,1.970703125,2.64453125,2.74609375,1.7216796875,2.904296875,2.23046875,2.17(...TRUNCATED) | [-1.0593690872192383,0.21849089860916138,0.7207152247428894,0.18607938289642334,-0.9952730536460876,(...TRUNCATED) |
[-0.373291015625,-1.8330078125,0.9248046875,-0.66357421875,-0.129150390625,-0.57861328125,-0.3051757(...TRUNCATED) | [-1.0091630220413208,-0.5168784856796265,0.007368126884102821,-0.25235432386398315,-1.02470541000366(...TRUNCATED) |
[0.0207061767578125,0.05755615234375,0.13818359375,0.1761474609375,-0.1434326171875,0.137451171875,-(...TRUNCATED) | [-1.1586164236068726,-0.7682672142982483,0.7111290097236633,-0.13946041464805603,-1.033276081085205,(...TRUNCATED) |
[-0.0662841796875,-0.291259765625,-0.11773681640625,-0.10858154296875,-0.020904541015625,-0.14782714(...TRUNCATED) | [-1.0897190570831299,0.13370022177696228,0.7694122195243835,0.19443275034427643,-0.9496798515319824,(...TRUNCATED) |
[0.77001953125,0.59033203125,0.4931640625,0.1356201171875,0.059539794921875,0.1427001953125,0.188720(...TRUNCATED) | [-1.1289165019989014,0.5057623386383057,0.918099582195282,1.2045551538467407,-1.0164865255355835,-0.(...TRUNCATED) |
[0.457275390625,0.1817626953125,0.06793212890625,-0.25244140625,0.63134765625,0.1236572265625,-0.233(...TRUNCATED) | [0.8739893436431885,-0.04817533865571022,-0.4492896795272827,1.002242922782898,-0.9251630902290344,-(...TRUNCATED) |
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🧠 Synthetic CelebA-StyleGAN Embedding Dataset
🧩 Dataset Creation Notes
Overview
This dataset was created by combining CelebA, StyleGAN (FFHQ), and Stable Diffusion (VAE Encoder)
to generate facial embeddings annotated with visual attributes.
🔹 Step-by-step process
Attribute Classifier (CelebA)
- Trained a ResNet-based classifier on the CelebA dataset to predict 40 facial attributes.
- Achieved ~92% accuracy on the validation set.
- The “Blurry” attribute was found to have no positive samples in the generated set,
so only 39 valid attributes were retained in the final dataset.
Synthetic Face Generation (StyleGAN FFHQ)
- Used StyleGAN trained on FFHQ to generate approximately 3.5 million synthetic face images.
- Each generated image was processed by the CelebA-trained classifier to obtain its 39-dimensional attribute vector.
Embedding Extraction (Stable Diffusion VAE)
- Encoded each image using the VAE encoder from Stable Diffusion v1.5.
- The resulting embeddings represent each image in the Stable Diffusion latent space.
📦 Output Format
Each entry in the dataset includes:
embedding— latent vector from Stable Diffusion’s VAEattributes— 40 binary attributes predicted by the CelebA-trained classifiersource—"synthetic"(generated by StyleGAN FFHQ)
⚠️ License and Intended Use
This dataset incorporates models and data under the following research licenses:
- CelebA — Non-Commercial Research License
- StyleGAN (FFHQ) — NVIDIA Research License
- Stable Diffusion (VAE) — CreativeML OpenRAIL-M
Hence, this dataset is strictly for non-commercial research and educational purposes.
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