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seed
int32
1
1k
p_idx
int32
0
9
s_density
float32
0.3
5
s_aerosol
float32
0.3
4.99
s_ozone
float32
0.3
5
D
unknown
D_filename
stringlengths
9
12
S
imagewidth (px)
512
512
V
imagewidth (px)
512
512
1,000
0
0.57914
2.92269
4.628612
"k05VTVBZAQB2AHsnZGVzY3InOiAnPGY0JywgJ2ZvcnRyYW5fb3JkZXInOiBGYWxzZSwgJ3NoYXBlJzogKDUxMiwgNTEyLCAzKSw(...TRUNCATED)
1000_0_D.npy
1,000
1
1.106252
4.575701
4.432331
"k05VTVBZAQB2AHsnZGVzY3InOiAnPGY0JywgJ2ZvcnRyYW5fb3JkZXInOiBGYWxzZSwgJ3NoYXBlJzogKDUxMiwgNTEyLCAzKSw(...TRUNCATED)
1000_1_D.npy
1,000
2
2.568415
1.254547
3.220698
"k05VTVBZAQB2AHsnZGVzY3InOiAnPGY0JywgJ2ZvcnRyYW5fb3JkZXInOiBGYWxzZSwgJ3NoYXBlJzogKDUxMiwgNTEyLCAzKSw(...TRUNCATED)
1000_2_D.npy
1,000
3
3.156386
4.237246
3.651107
"k05VTVBZAQB2AHsnZGVzY3InOiAnPGY0JywgJ2ZvcnRyYW5fb3JkZXInOiBGYWxzZSwgJ3NoYXBlJzogKDUxMiwgNTEyLCAzKSw(...TRUNCATED)
1000_3_D.npy
1,000
4
2.668803
1.744375
2.160607
"k05VTVBZAQB2AHsnZGVzY3InOiAnPGY0JywgJ2ZvcnRyYW5fb3JkZXInOiBGYWxzZSwgJ3NoYXBlJzogKDUxMiwgNTEyLCAzKSw(...TRUNCATED)
1000_4_D.npy
1,000
5
2.22956
0.323996
4.014186
"k05VTVBZAQB2AHsnZGVzY3InOiAnPGY0JywgJ2ZvcnRyYW5fb3JkZXInOiBGYWxzZSwgJ3NoYXBlJzogKDUxMiwgNTEyLCAzKSw(...TRUNCATED)
1000_5_D.npy
1,000
6
4.616433
1.879577
1.255226
"k05VTVBZAQB2AHsnZGVzY3InOiAnPGY0JywgJ2ZvcnRyYW5fb3JkZXInOiBGYWxzZSwgJ3NoYXBlJzogKDUxMiwgNTEyLCAzKSw(...TRUNCATED)
1000_6_D.npy
1,000
7
3.846333
4.680187
2.928349
"k05VTVBZAQB2AHsnZGVzY3InOiAnPGY0JywgJ2ZvcnRyYW5fb3JkZXInOiBGYWxzZSwgJ3NoYXBlJzogKDUxMiwgNTEyLCAzKSw(...TRUNCATED)
1000_7_D.npy
1,000
8
3.202976
0.511806
3.222346
"k05VTVBZAQB2AHsnZGVzY3InOiAnPGY0JywgJ2ZvcnRyYW5fb3JkZXInOiBGYWxzZSwgJ3NoYXBlJzogKDUxMiwgNTEyLCAzKSw(...TRUNCATED)
1000_8_D.npy
1,000
9
4.817628
0.327077
2.387831
"k05VTVBZAQB2AHsnZGVzY3InOiAnPGY0JywgJ2ZvcnRyYW5fb3JkZXInOiBGYWxzZSwgJ3NoYXBlJzogKDUxMiwgNTEyLCAzKSw(...TRUNCATED)
1000_9_D.npy
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TAID-AtmosEdit

Atmospheric editing dataset with 10,000 rows. Each seed identifies a scene and p_idx identifies one of its atmospheric conditions.

Columns and numeric spaces

  • S, V: 8-bit RGB PNG. Byte values contain linearly quantized values using round(clamp(x, 0, 1) * 255). No sRGB/gamma transfer function is applied.
  • D: NumPy .npy bytes (float32, HWC RGB) in linear HDR space [0, 5].
  • s_density, s_aerosol, s_ozone: atmospheric parameters as float32.
  • seed, p_idx: scene and condition identifiers as int32.

Load diffuse shading with:

import io
import numpy as np
from datasets import load_dataset

row = load_dataset("ShunTatsukawa/TAID-AtmosEdit", split="train")[0]
D = np.load(io.BytesIO(row["D"]), allow_pickle=False)

Stored values are linear, not log-space. Models may compute log differences between atmospheric conditions during training.

License

This dataset is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).

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