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tag
stringlengths
1
88
category
stringclasses
6 values
sample_count
uint64
50
1.59M
mean
float32
2.55
6.72
median
float32
2.52
6.84
stddev
float32
0.12
1.61
p10
float32
1.42
6.38
p25
float32
1.95
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p50
float32
2.52
6.84
p75
float32
2.74
7.06
p90
float32
3.13
7.23
iqr
float32
0.13
2.58
fraction_below_4
float32
0
1
fraction_4_to_5_5
float32
0
1
fraction_5_5_to_7
float32
0
1
fraction_7_to_8_5
float32
0
0.36
fraction_above_8_5
float32
0
0
dataset_version
stringclasses
1 value
!!
general
3,648
4.875127
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0
2026.10.03
!!!
general
158
4.587743
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5.3125
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0
2026.10.03
!?
general
6,513
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0
2026.10.03
#r18
general
277
5.186984
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0
2026.10.03
ㅇㅇ
artist
225
5.206971
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0.791111
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0
2026.10.03
亜dam
artist
86
4.149734
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0.5157
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0
0
2026.10.03
鼻血先生
artist
81
5.397014
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0.592593
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0
2026.10.03
>=
general
8,305
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4.3438
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0
2026.10.03
>_<
general
223
4.566587
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2026.10.03
<
general
304
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5.3438
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0
2026.10.03
<1_second_video
general
426
4.245216
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0
2026.10.03
<3
general
803
4.512816
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0
2026.10.03
<3_eyes
general
1,029
4.461955
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0
2026.10.03
<3_pupils
general
50
4.37721
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0
2026.10.03
(-__-)
artist
135
5.95375
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0.17037
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0
0
2026.10.03
(Not)BananaMan!
artist
69
5.050975
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0.329258
4.55582
4.9375
5.066
5.2813
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0.3438
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0.942029
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0
2026.10.03
(artwork)
general
73
5.004086
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0
2026.10.03
(ff
general
94
5.133329
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0
2026.10.03
(lore)
general
57
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0
2026.10.03
(sys)_gray
general
77,621
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0
2026.10.03
)
general
395
4.765174
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3.68438
4.2188
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5.3125
5.6563
1.0937
0.187342
0.64557
0.167089
0
0
2026.10.03
+++
general
685
4.926516
4.7813
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4.125
4.4688
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5.3125
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0.8437
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0.00146
0
2026.10.03
+_+
general
1,145
5.066002
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0.068122
0.640175
0.287336
0.004367
0
2026.10.03
,
general
60
5.100283
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0.89845
0.05
0.633333
0.316667
0
0
2026.10.03
-(___⩊___)-
artist
82
5.342247
5.3438
0.252346
5.0313
5.1563
5.3438
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5.68438
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0.719512
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0
0
2026.10.03
-ErikShizuku03-
artist
78
5.138497
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0
2026.10.03
-ai_generated
series
23,030
5.703501
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5.4063
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6.35164
0.5937
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0.323057
0.667043
0.006296
0
2026.10.03
.
general
145
4.616402
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0
2026.10.03
...
general
6,305
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0.13069
0
0
2026.10.03
.live
series
65
5.569255
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0.507692
0.461538
0.030769
0
2026.10.03
/
general
523
5.515344
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0.8906
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0
0
2026.10.03
///
general
258
4.884049
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5.2813
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0.7422
0.05814
0.77907
0.162791
0
0
2026.10.03
/\\/\\/\\
general
78
4.874823
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0
2026.10.03
0
general
77
4.659927
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0
0
2026.10.03
0.0_(pixiv87560444)
artist
133
5.230287
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5.25
5.4688
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0.75188
0.24812
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0
2026.10.03
007n7
character
416
3.773643
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4.0625
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0.5469
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0
0
2026.10.03
007n7_(forsaken)
character
857
3.785971
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3.5313
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4.0625
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0
0
2026.10.03
00s
general
83
3.976863
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0.6641
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0
2026.10.03
013_(hamsasuke)
artist
78
5.273659
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0.730769
0.269231
0
0
2026.10.03
01chairat
artist
67
4.196381
4.2813
0.613821
3.37188
3.65625
4.2813
4.70315
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1.0469
0.373134
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0.014925
0
0
2026.10.03
05556133859
artist
752
5.80679
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0.389135
5.3438
5.5313
5.75
6.0391
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0.5078
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0.196809
0.803191
0
0
2026.10.03
0721mstr
artist
121
5.61513
5.5938
0.379209
5.1563
5.375
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5.8501
6.125
0.4751
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0.396694
0.603306
0
0
2026.10.03
07th_expansion
series
59
4.909981
4.9688
0.451419
4.43126
4.57815
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5.1719
5.47504
0.59375
0.033898
0.864407
0.101695
0
0
2026.10.03
0ZO
circle
71
4.205342
4.25
0.370223
3.7031
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4.45315
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0.4375
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0.774648
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0
0
2026.10.03
0_0
general
213
4.559152
4.5313
0.61595
3.875
4.1875
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4.9063
5.30626
0.7188
0.15493
0.784038
0.061033
0
0
2026.10.03
0byte
artist
55
5.008545
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0.392092
4.51252
4.75005
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5.25005
5.55628
0.5
0
0.872727
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0
0
2026.10.03
0cyclop
artist
77
4.319421
4.3438
0.545481
3.4844
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4.3438
4.6875
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0.6875
0.246753
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0
0
0
2026.10.03
0haribo0
artist
107
5.669414
5.625
0.24952
5.4063
5.5
5.625
5.7969
6.025
0.2969
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0.205607
0.794393
0
0
2026.10.03
0rever
artist
157
5.049785
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0.425708
4.4688
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5.0625
5.3438
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0.5313
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0
2026.10.03
0w0wer
artist
187
4.425156
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3.9688
4.1875
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0.5313
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0
0
2026.10.03
0y
artist
100
5.774399
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0.257825
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0.05
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0
2026.10.03
0zmann
artist
185
3.440303
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0
0
2026.10.03
1
general
86
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0
2026.10.03
1-a_dot
artist
409
5.136193
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2026.10.03
1000+_bookmarks
general
163
5.563289
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0
2026.10.03
10000+_bookmarks
general
121
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0
2026.10.03
10048202
artist
60
6.137068
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0
1
0
0
2026.10.03
100_kanojo
series
227
4.612768
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0
2026.10.03
100users
general
50
5.321274
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5.1563
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0.76
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0
2026.10.03
100wang
artist
132
5.07164
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0
2026.10.03
1016
general
78
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0
2026.10.03
101_dalmatians
series
61
4.01334
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0
0
2026.10.03
1024GB
artist
71
5.579425
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0.535211
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0
2026.10.03
10807771080
artist
360
5.831644
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2026.10.03
1080p
general
3,183
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2026.10.03
1080x1920
general
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2026.10.03
10_seconds
general
1,566
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0
2026.10.03
10girls
general
128
4.940698
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0
2026.10.03
10s
general
688
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0
2026.10.03
11
general
213,418
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2026.10.03
1104669969
artist
54
5.86588
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0
2026.10.03
116
general
2,190
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0
2026.10.03
118o8
character
113
4.075379
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0
2026.10.03
119211921192w
artist
59
5.407865
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0
2026.10.03
11_22
artist
1,917
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2026.10.03
11_aspect_ratio
general
623
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2026.10.03
11girls
general
79
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2026.10.03
11kkr
artist
58
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2026.10.03
12
general
19,351
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2026.10.03
122_ahaka
artist
79
5.746864
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2026.10.03
1248755546
artist
70
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5.2188
0.362334
4.65317
4.9375
5.2188
5.375
5.53442
0.4375
0
0.885714
0.114286
0
0
2026.10.03
1280x720
general
242
3.713762
3.75
0.543191
2.9844
3.3789
3.75
4.0938
4.375
0.7149
0.673554
0.326446
0
0
0
2026.10.03
12girls
general
76
4.983575
5.0313
0.591402
4.20315
4.585975
5.0313
5.375
5.7344
0.789025
0.065789
0.75
0.184211
0
0
2026.10.03
131531
artist
100
5.4994
5.4688
0.325766
5.12188
5.25
5.4688
5.6875
5.9688
0.4375
0
0.51
0.49
0
0
2026.10.03
132
general
1,490
4.27541
4.2813
0.428838
3.7344
3.9727
4.2813
4.5625
4.8125
0.5898
0.260403
0.738255
0.001342
0
0
2026.10.03
137534003
artist
118
5.651356
5.6563
0.337122
5.24064
5.4063
5.6563
5.8438
6.13439
0.4375
0
0.313559
0.686441
0
0
2026.10.03
14
general
6,361
4.412789
4.375
0.49874
3.8125
4.0938
4.375
4.7188
5.0313
0.625
0.193209
0.779594
0.027197
0
0
2026.10.03
1416596950
artist
221
5.938699
5.9375
0.545676
5.2755
5.4945
5.9375
6.375
6.6563
0.8805
0
0.253394
0.723982
0.022624
0
2026.10.03
1440p
general
280
4.11252
4.0938
0.514789
3.4375
3.793
4.0938
4.4141
4.8125
0.6211
0.421429
0.575
0.003571
0
0
2026.10.03
1475870080
artist
114
5.453702
5.4375
0.334882
5.0313
5.2188
5.4375
5.6563
5.875
0.4375
0
0.561404
0.438596
0
0
2026.10.03
1610
general
61
4.354018
4.3438
0.629488
3.5
3.9688
4.3438
4.8438
5.125
0.875
0.278689
0.688525
0.032787
0
0
2026.10.03
1612161
artist
157
4.630298
4.7188
0.42392
4.02502
4.5
4.7188
4.875
5.0625
0.375
0.101911
0.89172
0.006369
0
0
2026.10.03
169
general
175,881
3.893955
3.875
0.700517
3.0156
3.4219
3.875
4.3438
4.7813
0.9219
0.571784
0.409362
0.018831
0.000023
0
2026.10.03
169_aspect_ratio
general
2,075
3.859641
3.875
0.647431
3.03754
3.4219
3.875
4.2813
4.6563
0.8594
0.586024
0.403373
0.010602
0
0
2026.10.03
18
general
4,424
4.471574
4.4375
0.519162
3.9063
4.1875
4.4375
4.6875
5
0.5
0.137884
0.81849
0.0434
0.000226
0
2026.10.03
18_(artist)
artist
143
4.284442
4.25
0.459415
3.75312
4.0313
4.25
4.5625
4.875
0.5312
0.20979
0.79021
0
0
0
2026.10.03
18anime_18
artist
345
5.339244
5.2813
0.358238
4.9375
5.125
5.2813
5.4688
5.85736
0.3438
0
0.753623
0.246377
0
0
2026.10.03
1920x1080
general
799
3.906463
3.8906
0.598638
3.1563
3.5156
3.8906
4.25
4.6563
0.7344
0.56821
0.423029
0.008761
0
0
2026.10.03
1980s_(style)
general
178
4.311994
4.25
0.579157
3.60472
3.8633
4.25
4.710975
5.125
0.847675
0.320225
0.657303
0.022472
0
0
2026.10.03
19851122113
artist
91
5.5639
5.5313
0.231144
5.2813
5.4063
5.5313
5.7188
5.9063
0.3125
0
0.384615
0.615385
0
0
2026.10.03
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Rule34.nexus Tag Aesthetic Statistics

1. Overview

This dataset contains aggregated aesthetic statistics for individual tags in the Rule34.nexus corpus. Per-image scores come from discus0434/aesthetic-predictor-v2-5; this release collapses those scores into per-tag means, percentiles, and score-band fractions. Source images and complete post→tag mappings are not included.

2. Dataset Description

Each row is one tag (with its Rule34.nexus category) that appears on at least 50 scored, visible posts. Statistics are computed only over posts that already have an aesthetic score — unscored posts never contribute. Use this dataset for tag-level analysis and curation; for per-image scores see rule34nexus/image-aesthetic-scores.

  • Rows: 42,354
  • Dataset version: 2026.10.03
  • Source corpus version: r34nexus-2026.10.03
  • Schema version: 1.0

3. Data Fields

Field Type Description
tag string Tag name
category string Rule34.nexus tag category (general, artist, character, series, meta, author, circle)
sample_count uint64 Number of scored images contributing to the statistics
mean float32 Mean aesthetic score
median float32 Median aesthetic score
stddev float32 Sample standard deviation
p10 float32 10th percentile
p25 float32 25th percentile
p50 float32 50th percentile
p75 float32 75th percentile
p90 float32 90th percentile
iqr float32 Interquartile range (p75 - p25)
fraction_below_4 float32 Fraction of contributing scores below 4
fraction_4_to_5_5 float32 Fraction scoring 4–5.5
fraction_5_5_to_7 float32 Fraction scoring 5.5–7
fraction_7_to_8_5 float32 Fraction scoring 7–8.5
fraction_above_8_5 float32 Fraction scoring 8.5 and above
dataset_version string Version of this Rule34.nexus dataset release

4. Glossary

  • category — Rule34.nexus tag type. The same string never appears under two categories; rows are keyed by (tag, category).
  • Score bands — The fraction_* columns partition the 0–10 score range so a mean alone cannot hide a bimodal distribution.

5. Data Generation

Rule34.nexus corpus
        ↓
per-image aesthetic scores
        ↓
post → tags export (internal)
        ↓
per-tag aggregation + min sample filter
        ↓
Parquet generation
        ↓
Hugging Face dataset

The exact implementation is not disclosed; see the schema and methodology below for what is published.

6. Inclusion Criteria

Every row-level exclusion applied while building this dataset:

  • Only active, non-deleted posts are considered; draft/pending/flagged/deleted posts are excluded.
  • Of 2,641,568 active, non-deleted posts in the feeder export, 29,037 had no aesthetic score yet and contributed to no tag statistics; 2,612,531 scored posts remained.
  • Of 390,718 tags that appeared on at least one scored post, 348,364 fell below sample_count >= 50 and were dropped; 42,354 tags remain in this dataset.

7. Methodology

  • Aesthetic model: discus0434/aesthetic-predictor-v2-5, version 2024.12.18.1.
  • Score range is approximately 1–10 (SigLIP-based predictor); 5.5+ is considered a strong aesthetic score.
  • Per-tag statistics use every scored post that carries that tag; a post with N tags contributes its score once to each of those N tags.
  • Percentiles use the standard sample quantile; stddev is the sample (Bessel-corrected) standard deviation.
  • Observed range of per-tag means in this release: 2.549 – 6.716 (mean of means 4.878).

8. Data Distribution

Distribution of per-tag mean aesthetic scores across all 42,354 published tags.

Distribution of per-tag mean aesthetic scores across all 42,354 published tags.

9. Limitations

  • Aesthetic scores are model predictions, not human ratings.
  • Tag statistics inherit biases from the underlying corpus and from the aesthetic predictor.
  • Correlation between a tag and aesthetic score does not imply causation.
  • Tags below the minimum sample size are absent entirely — rarity is not represented as a low sample_count row.
  • Complete post→tag mappings are intentionally not published.

10. Intended Uses

  • Tag-level dataset analysis and curation.
  • Studying relationships between semantic concepts and aesthetic scores.
  • Identifying tags associated with particularly high- or low-scoring images.
  • Prompt / tag research for image-generation systems.
  • Statistical research on tag vocabularies.

11. Licensing

This dataset is released under the Rule34.nexus Derived Dataset Licence 1.0: https://rule34.nexus/licenses/derived-dataset-1.0

Copyright in the original images, artwork, characters, and other third-party material from which this dataset was derived is not claimed by Rule34.nexus and is not licensed under this agreement. This licence covers only the original statistical/metadata contributions in this dataset.

12. Provenance

Source: Rule34.nexus
Dataset: rule34nexus/tag-aesthetic-statistics
Source corpus: r34nexus-2026.10.03
Generated: 2026-10-03
Images included: No

https://rule34.nexus

This dataset was generated from the Rule34.nexus image corpus and is published by Rule34.nexus for research and machine-learning purposes. The underlying source images are not included in this dataset.

13. Related Datasets

rule34nexus/image-aesthetic-scores
        ↓
rule34nexus/tag-aesthetic-statistics
character-statistics (planned)
series-statistics (planned)
        │
        ▼
tag-cooccurrence
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