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Cement
float64
102
540
Blast Furnace Slag
float64
0
359
Fly Ash
float64
0
200
Water
float64
122
247
Superplasticizer
float64
0
32.2
Coarse Aggregate
float64
801
1.15k
Fine Aggregate
float64
594
993
Age
int64
1
365
__target__
float64
2.33
82.6
540
0
0
162
2.5
1,040
676
28
79.99
540
0
0
162
2.5
1,055
676
28
61.89
332.5
142.5
0
228
0
932
594
270
40.27
332.5
142.5
0
228
0
932
594
365
41.05
198.6
132.4
0
192
0
978.4
825.5
360
44.3
266
114
0
228
0
932
670
90
47.03
380
95
0
228
0
932
594
365
43.7
380
95
0
228
0
932
594
28
36.45
266
114
0
228
0
932
670
28
45.85
475
0
0
228
0
932
594
28
39.29
198.6
132.4
0
192
0
978.4
825.5
90
38.07
198.6
132.4
0
192
0
978.4
825.5
28
28.02
427.5
47.5
0
228
0
932
594
270
43.01
190
190
0
228
0
932
670
90
42.33
304
76
0
228
0
932
670
28
47.81
380
0
0
228
0
932
670
90
52.91
139.6
209.4
0
192
0
1,047
806.9
90
39.36
342
38
0
228
0
932
670
365
56.14
380
95
0
228
0
932
594
90
40.56
475
0
0
228
0
932
594
180
42.62
427.5
47.5
0
228
0
932
594
180
41.84
139.6
209.4
0
192
0
1,047
806.9
28
28.24
139.6
209.4
0
192
0
1,047
806.9
3
8.06
139.6
209.4
0
192
0
1,047
806.9
180
44.21
380
0
0
228
0
932
670
365
52.52
380
0
0
228
0
932
670
270
53.3
380
95
0
228
0
932
594
270
41.15
342
38
0
228
0
932
670
180
52.12
427.5
47.5
0
228
0
932
594
28
37.43
475
0
0
228
0
932
594
7
38.6
304
76
0
228
0
932
670
365
55.26
266
114
0
228
0
932
670
365
52.91
198.6
132.4
0
192
0
978.4
825.5
180
41.72
475
0
0
228
0
932
594
270
42.13
190
190
0
228
0
932
670
365
53.69
237.5
237.5
0
228
0
932
594
270
38.41
237.5
237.5
0
228
0
932
594
28
30.08
332.5
142.5
0
228
0
932
594
90
37.72
475
0
0
228
0
932
594
90
42.23
237.5
237.5
0
228
0
932
594
180
36.25
342
38
0
228
0
932
670
90
50.46
427.5
47.5
0
228
0
932
594
365
43.7
237.5
237.5
0
228
0
932
594
365
39
380
0
0
228
0
932
670
180
53.1
427.5
47.5
0
228
0
932
594
90
41.54
427.5
47.5
0
228
0
932
594
7
35.08
349
0
0
192
0
1,047
806.9
3
15.05
380
95
0
228
0
932
594
180
40.76
237.5
237.5
0
228
0
932
594
7
26.26
380
95
0
228
0
932
594
7
32.82
332.5
142.5
0
228
0
932
594
180
39.78
190
190
0
228
0
932
670
180
46.93
237.5
237.5
0
228
0
932
594
90
33.12
304
76
0
228
0
932
670
90
49.19
139.6
209.4
0
192
0
1,047
806.9
7
14.59
198.6
132.4
0
192
0
978.4
825.5
7
14.64
475
0
0
228
0
932
594
365
41.93
198.6
132.4
0
192
0
978.4
825.5
3
9.13
304
76
0
228
0
932
670
180
50.95
332.5
142.5
0
228
0
932
594
28
33.02
304
76
0
228
0
932
670
270
54.38
266
114
0
228
0
932
670
270
51.73
310
0
0
192
0
971
850.6
3
9.87
190
190
0
228
0
932
670
270
50.66
266
114
0
228
0
932
670
180
48.7
342
38
0
228
0
932
670
270
55.06
139.6
209.4
0
192
0
1,047
806.9
360
44.7
332.5
142.5
0
228
0
932
594
7
30.28
190
190
0
228
0
932
670
28
40.86
485
0
0
146
0
1,120
800
28
71.99
374
189.2
0
170.1
10.1
926.1
756.7
3
34.4
313.3
262.2
0
175.5
8.6
1,046.9
611.8
3
28.8
425
106.3
0
153.5
16.5
852.1
887.1
3
33.4
425
106.3
0
151.4
18.6
936
803.7
3
36.3
375
93.8
0
126.6
23.4
852.1
992.6
3
29
475
118.8
0
181.1
8.9
852.1
781.5
3
37.8
469
117.2
0
137.8
32.2
852.1
840.5
3
40.2
425
106.3
0
153.5
16.5
852.1
887.1
3
33.4
388.6
97.1
0
157.9
12.1
852.1
925.7
3
28.1
531.3
0
0
141.8
28.2
852.1
893.7
3
41.3
425
106.3
0
153.5
16.5
852.1
887.1
3
33.4
318.8
212.5
0
155.7
14.3
852.1
880.4
3
25.2
401.8
94.7
0
147.4
11.4
946.8
852.1
3
41.1
362.6
189
0
164.9
11.6
944.7
755.8
3
35.3
323.7
282.8
0
183.8
10.3
942.7
659.9
3
28.3
379.5
151.2
0
153.9
15.9
1,134.3
605
3
28.6
362.6
189
0
164.9
11.6
944.7
755.8
3
35.3
286.3
200.9
0
144.7
11.2
1,004.6
803.7
3
24.4
362.6
189
0
164.9
11.6
944.7
755.8
3
35.3
439
177
0
186
11.1
884.9
707.9
3
39.3
389.9
189
0
145.9
22
944.7
755.8
3
40.6
362.6
189
0
164.9
11.6
944.7
755.8
3
35.3
337.9
189
0
174.9
9.5
944.7
755.8
3
24.1
374
189.2
0
170.1
10.1
926.1
756.7
7
46.2
313.3
262.2
0
175.5
8.6
1,046.9
611.8
7
42.8
425
106.3
0
153.5
16.5
852.1
887.1
7
49.2
425
106.3
0
151.4
18.6
936
803.7
7
46.8
375
93.8
0
126.6
23.4
852.1
992.6
7
45.7
475
118.8
0
181.1
8.9
852.1
781.5
7
55.6
469
117.2
0
137.8
32.2
852.1
840.5
7
54.9
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uq-bench Real World Datasets

Twenty real-world tabular regression datasets for benchmarking uncertainty quantification methods, one Parquet file per dataset. Each subset is one table of feature columns plus a __target__ column. Features are either binary with dtype int64 or continuous with dtype double.

Datasets

name n d description source license
energy_efficiency 768 10 Building energy load UCI 242 CC BY 4.0
concrete 1030 8 Concrete compressive strength UCI 165 CC BY 4.0
insurance 1338 8 Medical insurance charges pycaret public domain
airfoil 1503 5 Airfoil self-noise level UCI 291 CC BY 4.0
debutanizer 2394 7 Debutanizer butane concentration Fortuna 2007 no license
allstate 5000 1037 Insurance claim severity OpenML 42571 public
qsar 5742 500 Compound bioactivity OpenML 3050 CC BY-SA 3.0
parkinsons 5875 18 Parkinsons symptom score UCI 189 CC BY 4.0
computer 8192 21 Computer system activity OpenML 197 public
kin8nm 8192 8 Simulated robot arm kinematics OpenML 189 public
powerplant 9568 4 Power plant energy output UCI 294 CC BY 4.0
sulfur 10081 5 Sulfur recovery output OpenML 23515 no license
naval_propulsion 11934 24 Naval gas turbine decay UCI 316 CC BY 4.0
ailerons 13750 40 Aircraft ailerons control OpenML 296 public
miami_housing 13932 28 Miami house sale price OpenML 43093 public
elevator 16599 18 Aircraft elevator control OpenML 216 public
ca_housing 20640 8 California housing value StatLib public domain
superconductor 21263 79 Superconductor critical temperature UCI 464 CC BY 4.0
protein 45730 9 Protein structure RMSD UCI 265 CC BY 4.0
diamond 53940 23 Diamond price OpenML 42225 public

Provenance and processing

Packaged from the CLEAR and PCS-UQ benchmarks of the Bin Yu group at UC Berkeley. Processing is inherited from those pipelines: categorical features are one-hot encoded with drop_first; allstate is a seeded 5000-row subsample with about 310 all-zero dummy columns; qsar keeps the top 500 fingerprint bits by variance; debutanizer features are pre-scaled to [0, 1]. Values are otherwise unscaled and targets are raw.

Licensing

Datasets are aggregated under several licenses; per-dataset licenses are in the table. qsar is CC BY-SA 3.0 from ChEMBL, so reuse inherits the share-alike term. sulfur and debutanizer have no formal data license; they are companion data from Fortuna et al., "Soft Sensors for Monitoring and Control of Industrial Processes", redistributed for academic research with attribution. allstate originates from a Kaggle competition and is listed Public on OpenML.

Citation

@misc{uqbench2026,
  title  = {uq-bench},
  author = {Anzalone, S.},
  year   = {2026},
  note   = {arXiv TODO}
}

@article{agarwal2025pcsuq,
  title   = {PCS-UQ: Uncertainty Quantification via the Predictability-Computability-Stability Framework},
  author  = {Agarwal, A. and Xiao, M. and Barter, R. and Ronen, O. and Fan, B. and Yu, B.},
  year    = {2025},
  journal = {arXiv preprint arXiv:2505.08784}
}

@inproceedings{azizi2026clear,
  title     = {CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk},
  author    = {Azizi, I. and Bodik, J. and Heiss, J. and Yu, B.},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year      = {2026}
}
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