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voxels_occupancy
array 4D
voxels_colors
array 4D
model_id
stringlengths
27
32
class_label
stringclasses
100 values
metadata
dict
[[[[1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,(...TRUNCATED)
[[[[0.2862745225429535,0.29509803652763367,0.2921568751335144,0.2862745225429535,0.2803921699523926,(...TRUNCATED)
c9cbabdbf1d548c49309b0c6cc2f255c
gravestone
{"is_augmented":false,"original_file":"c9cbabdbf1d548c49309b0c6cc2f255c.pt","num_occupied":867,"spli(...TRUNCATED)
[[[[0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,(...TRUNCATED)
[[[[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,n(...TRUNCATED)
74ea610a92fc4c7d947dbf59549e419a
globe
{"is_augmented":false,"original_file":"74ea610a92fc4c7d947dbf59549e419a.pt","num_occupied":3730,"spl(...TRUNCATED)
[[[[0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,(...TRUNCATED)
[[[[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,n(...TRUNCATED)
960ac9ae4baa45b586fc5037a6e3bc96
earphone
{"is_augmented":false,"original_file":"960ac9ae4baa45b586fc5037a6e3bc96.pt","num_occupied":2024,"spl(...TRUNCATED)
[[[[0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,(...TRUNCATED)
[[[[0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,(...TRUNCATED)
8231a91d0a1f41c88b045fe39d2bb7bc
elk
{"is_augmented":false,"original_file":"8231a91d0a1f41c88b045fe39d2bb7bc.pt","num_occupied":1448,"spl(...TRUNCATED)
[[[[0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,(...TRUNCATED)
[[[[0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,(...TRUNCATED)
f3f73f5cac9d49369f8f04632e1b845b
pizza
{"is_augmented":false,"original_file":"f3f73f5cac9d49369f8f04632e1b845b.pt","num_occupied":2030,"spl(...TRUNCATED)
[[[[0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,(...TRUNCATED)
[[[[0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,(...TRUNCATED)
512fa76569d34ca8ad4a9790b2625e91
drum_(musical_instrument)
{"is_augmented":false,"original_file":"512fa76569d34ca8ad4a9790b2625e91.pt","num_occupied":1611,"spl(...TRUNCATED)
[[[[0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,(...TRUNCATED)
[[[[0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,(...TRUNCATED)
c9abeb537dff43c2b01bbdfac3913f55
pony
{"is_augmented":false,"original_file":"c9abeb537dff43c2b01bbdfac3913f55.pt","num_occupied":2453,"spl(...TRUNCATED)
[[[[0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,(...TRUNCATED)
[[[[0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,(...TRUNCATED)
7a8dae0520a445049a9487b1950d838a
keg
{"is_augmented":false,"original_file":"7a8dae0520a445049a9487b1950d838a.pt","num_occupied":3976,"spl(...TRUNCATED)
[[[[0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,(...TRUNCATED)
[[[[0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,(...TRUNCATED)
ed005df8061d43038461c129ffd681fb
fighter_jet
{"is_augmented":false,"original_file":"ed005df8061d43038461c129ffd681fb.pt","num_occupied":634,"spli(...TRUNCATED)
[[[[0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,(...TRUNCATED)
[[[[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,n(...TRUNCATED)
af51fb8b592746b39cfb0423c9d9b708
necklace
{"is_augmented":false,"original_file":"af51fb8b592746b39cfb0423c9d9b708.pt","num_occupied":595,"spli(...TRUNCATED)

This dataset is a continuation of the BlockGen-3D dataset and has been specifically done for fine-tuning purposes. It is paired with simpler prompts (e.g., “banana,” “chair”) to enhance training efficiency and accuracy evalutation tasks. No augmentations.

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