Datasets:
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 usinground(clamp(x, 0, 1) * 255). No sRGB/gamma transfer function is applied.D: NumPy.npybytes (float32, HWC RGB) in linear HDR space[0, 5].s_density,s_aerosol,s_ozone: atmospheric parameters asfloat32.seed,p_idx: scene and condition identifiers asint32.
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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