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response_id
int64
1
4k
locale
stringclasses
23 values
year_month
stringdate
2026-03-01 00:00:00
2026-08-01 00:00:00
duration_seconds
float64
14
6.33k
top_result
stringclasses
5 values
score_A
int64
0
100
score_C
int64
0
100
score_E
int64
0
100
score_N
int64
0
100
score_O
int64
0
100
q1
int64
0
4
q2
int64
0
4
q3
int64
0
4
q4
int64
0
4
q5
int64
0
4
q6
int64
0
5
q7
int64
0
4
q8
int64
0
4
q9
int64
0
5
q10
int64
0
7
q11
int64
0
4
q12
int64
0
4
q13
int64
0
5
q14
int64
0
4
q15
int64
0
4
q16
int64
0
4
q17
int64
0
7
q18
int64
0
4
q19
int64
0
4
q20
int64
0
4
q21
int64
0
4
q22
int64
0
4
q23
int64
0
4
q24
int64
0
4
q25
int64
0
4
q26
int64
0
4
q27
int64
0
4
q28
int64
0
5
q29
int64
0
4
q30
int64
0
4
q31
int64
0
4
q32
int64
0
5
q33
int64
0
4
q34
int64
0
4
q35
int64
0
4
q36
int64
0
4
q37
int64
0
4
q38
int64
0
4
q39
int64
0
4
q40
int64
0
4
q41
int64
0
4
q42
int64
0
4
q43
int64
0
4
q44
int64
0
5
q45
int64
0
4
q46
int64
0
4
q47
int64
0
4
q48
int64
0
4
q49
int64
0
4
q50
int64
0
4
1
ja
2026-07
258
C
57
80
65
0
73
2
2
3
0
3
3
3
1
4
1
3
0
3
0
4
1
2
0
4
1
2
1
3
0
4
1
3
0
0
0
3
1
3
0
4
0
3
1
0
0
4
0
3
0
1
3
0
3
0
3
2
en
2026-05
135
O
70
23
50
25
83
2
1
1
1
4
2
3
4
2
1
3
2
2
1
3
2
3
3
3
1
3
1
0
1
4
2
2
4
0
1
2
1
1
2
4
3
3
2
0
4
3
3
1
1
1
4
3
1
1
4
3
unknown
2026-05
198
O
70
60
10
80
88
1
1
2
4
3
3
3
2
1
0
1
1
3
4
4
4
3
3
1
1
0
3
2
4
4
4
4
2
4
0
0
1
4
2
3
4
3
2
2
3
1
3
3
3
4
4
2
3
3
3
4
en
2026-06
358
O
78
45
60
83
98
1
0
1
3
4
0
3
2
0
0
1
1
4
3
4
3
3
3
0
0
4
0
2
4
4
0
4
4
3
0
0
3
4
3
4
1
1
4
3
3
3
4
0
3
4
1
4
4
3
4
5
en
2026-06
414
A
90
43
30
53
60
0
0
3
4
1
3
4
2
1
1
1
0
1
4
1
4
4
3
1
0
4
0
0
0
3
3
2
3
1
3
3
0
1
1
2
3
3
2
1
2
0
3
3
1
4
3
4
3
3
3
6
en
2026-07
159
O
75
83
30
55
83
1
1
3
1
3
3
2
1
2
1
1
1
4
4
4
2
4
0
1
1
1
3
4
1
3
1
3
0
3
0
0
1
4
1
4
3
4
3
1
3
1
4
4
4
3
3
3
2
2
3
7
unknown
2026-05
256
A
78
38
57
57
75
3
1
1
3
2
2
3
3
3
1
4
2
3
3
4
2
3
3
2
1
3
1
2
3
3
1
4
3
2
0
2
1
2
3
3
3
4
3
3
2
3
3
1
2
3
4
3
2
1
3
8
en
2026-06
209
N
63
40
53
75
73
2
3
1
0
4
1
3
3
2
1
3
1
3
4
4
3
4
4
3
3
3
1
4
4
3
0
1
4
4
0
2
1
3
4
1
2
3
2
4
2
1
3
0
4
3
4
1
2
3
4
9
en
2026-06
310
A
57
45
18
57
35
0
3
1
3
0
3
3
1
3
2
1
3
3
3
1
3
2
3
1
2
1
1
1
3
1
3
3
1
2
2
1
1
0
2
1
3
3
0
1
0
0
3
0
2
4
4
1
2
3
1
10
en
2026-07
463
A
83
65
25
50
57
0
1
2
3
3
2
3
1
2
1
1
0
3
3
1
3
4
2
1
1
1
1
1
2
2
1
3
1
1
3
1
1
3
2
3
4
3
1
0
1
0
4
3
1
3
3
3
3
3
3
11
en
2026-07
173
N
40
48
25
75
65
1
2
1
3
3
2
1
2
3
1
1
1
2
3
3
3
0
2
1
1
3
2
1
3
3
3
3
1
4
0
0
3
3
4
1
4
1
2
3
3
0
1
1
3
0
3
2
2
3
3
12
en
2026-06
882
A
83
63
25
75
73
2
0
3
4
3
2
3
1
2
1
2
1
2
3
3
4
4
1
1
0
1
1
0
3
2
3
4
3
3
1
1
2
3
3
3
4
3
1
3
2
1
4
4
3
4
4
3
3
3
2
13
ko
2026-07
251
O
60
63
60
75
80
3
4
4
4
3
1
3
1
3
1
2
0
3
4
4
2
3
2
1
3
1
3
4
4
3
0
2
4
3
1
4
3
4
2
3
1
4
2
3
4
1
2
0
3
4
3
4
3
3
4
14
en
2026-07
218
A
98
78
83
10
90
4
0
3
0
3
1
4
1
4
0
4
0
4
1
4
1
4
2
4
0
4
1
3
0
4
1
4
1
0
0
3
0
3
2
4
1
4
0
1
2
3
4
3
0
3
1
4
3
0
4
15
en
2026-08
120
O
98
73
98
0
100
4
0
2
0
4
0
4
3
4
0
4
0
4
0
4
0
4
0
4
0
3
1
1
0
4
0
4
0
0
0
4
0
3
0
4
0
4
1
0
4
4
4
3
0
4
0
4
4
0
4
16
en
2026-08
270
C
55
63
30
43
45
0
3
1
1
3
3
3
3
3
4
3
1
3
3
4
3
3
1
1
3
1
1
1
3
1
1
1
1
1
1
1
3
3
1
3
3
1
0
1
1
1
3
3
3
1
4
3
3
0
1
17
en
2026-06
142
A
75
60
38
65
68
0
1
4
3
3
3
4
1
3
0
3
0
4
3
0
3
3
1
0
0
3
1
3
2
2
3
1
4
1
3
4
1
0
4
4
4
3
2
3
3
0
3
3
2
4
2
3
2
3
2
18
en
2026-07
173
N
68
45
50
70
65
3
4
2
3
2
1
3
2
1
2
2
1
4
4
3
3
3
3
2
1
3
1
2
3
2
1
4
2
3
1
1
3
2
2
2
3
3
3
3
2
3
3
0
3
4
4
4
2
2
3
19
ko
2026-07
28
C
53
60
53
53
57
3
3
3
3
3
1
0
0
0
0
0
0
0
3
3
3
4
4
4
4
4
3
2
2
2
1
1
1
1
1
1
1
1
1
1
1
0
0
0
3
3
3
3
3
4
4
4
4
4
0
20
en
2026-07
249
A
83
45
53
70
68
3
0
2
4
2
1
4
3
1
1
2
1
3
4
4
3
4
3
2
1
2
0
1
4
2
2
3
3
2
0
2
1
3
2
3
3
3
1
3
1
4
3
0
2
1
3
2
3
2
4
21
en
2026-07
129
N
38
48
35
88
85
1
2
0
4
3
3
4
2
1
2
1
4
4
4
4
3
0
2
3
0
2
4
0
3
4
1
0
1
4
0
1
2
2
4
3
3
2
2
4
3
1
3
2
4
3
2
2
2
4
4
22
unknown
2026-05
null
O
55
60
25
65
80
1
0
1
4
4
3
1
0
1
0
0
1
1
4
4
3
3
0
3
0
1
3
3
4
2
0
3
0
3
0
1
3
4
1
3
4
1
4
1
1
1
3
1
4
3
4
2
2
1
3
23
ja
2026-08
207
A
83
65
18
53
63
0
0
1
3
1
2
4
1
3
0
1
0
3
3
3
3
3
0
1
0
1
1
2
3
1
3
3
1
1
1
1
1
3
1
3
4
3
2
1
1
0
3
2
1
4
4
3
3
4
1
24
unknown
2026-05
164
O
70
80
45
40
85
3
3
3
1
3
3
3
1
3
1
1
0
3
2
4
2
3
1
1
1
3
1
3
1
3
1
1
1
1
1
1
1
4
1
4
3
3
1
1
3
3
3
3
1
4
4
4
4
4
4
25
en
2026-06
150
C
43
63
33
10
53
0
1
2
0
1
1
2
4
3
1
1
0
2
1
4
4
1
1
4
1
1
2
3
1
2
3
2
1
1
1
4
3
4
0
4
4
1
0
0
0
2
0
3
0
0
3
1
1
0
1
26
en
2026-06
233
N
20
63
30
98
75
1
3
3
4
3
4
0
3
0
2
4
3
4
4
3
2
1
3
0
3
0
4
3
4
4
2
1
3
4
1
0
4
4
4
4
4
3
2
3
3
0
1
3
4
4
1
0
3
4
3
27
en
2026-07
340
C
60
73
33
50
53
2
3
3
2
1
3
1
2
3
2
3
2
4
3
2
3
4
4
1
1
1
2
3
1
1
3
4
3
2
0
1
3
4
2
2
4
2
0
2
2
3
3
4
2
3
4
4
4
2
1
28
tr
2026-08
187
O
38
43
35
70
73
0
2
0
3
4
3
4
4
4
3
3
4
4
1
4
2
1
3
2
2
0
3
1
4
4
4
1
3
4
0
0
3
3
4
2
0
2
3
4
3
3
1
2
3
2
3
2
4
3
3
29
en
2026-07
247
O
75
55
33
35
80
2
0
3
1
3
3
1
3
3
0
3
0
4
3
4
4
4
4
3
3
3
3
3
4
4
3
3
4
1
0
3
2
3
1
3
4
3
1
0
1
0
4
4
1
4
4
4
1
1
4
30
unknown
2026-05
null
A
90
75
50
43
78
2
0
3
3
2
1
3
2
3
2
3
1
3
3
3
3
4
1
2
2
3
2
3
1
3
1
4
0
2
0
2
0
3
2
4
3
4
2
1
3
2
4
3
1
4
4
4
4
1
4
31
en
2026-07
430
A
63
60
33
48
57
0
1
4
1
2
3
2
2
3
3
3
2
2
3
3
4
3
0
2
3
1
3
2
3
3
3
2
2
2
1
1
1
2
3
3
3
3
1
1
0
3
3
0
2
4
2
3
3
1
3
32
ua
2026-08
135
N
48
45
35
60
55
1
2
3
4
2
2
1
4
2
2
1
2
2
3
2
3
2
2
1
1
1
3
1
2
2
2
3
3
2
2
1
3
3
2
2
2
3
3
2
2
2
3
2
2
3
3
1
3
2
2
33
unknown
2026-06
387
A
75
63
60
60
63
1
0
3
3
4
0
3
3
3
3
2
0
3
1
4
1
3
3
1
1
3
2
1
1
3
3
4
0
4
0
1
3
3
3
1
1
3
1
2
1
3
3
3
3
3
1
3
3
3
1
34
en
2026-07
151
C
70
70
20
53
60
0
0
4
1
3
3
3
2
3
3
3
3
4
3
3
4
3
1
1
3
1
0
1
3
4
1
3
3
3
3
0
3
4
1
4
4
3
2
1
3
0
3
3
4
3
4
3
4
1
1
35
ko
2026-07
158
C
70
88
38
63
53
1
1
3
3
3
1
4
0
3
2
0
2
3
3
3
1
3
1
1
1
3
1
4
3
1
1
1
0
2
2
1
1
4
2
1
4
3
1
2
2
0
3
3
3
3
3
3
4
3
1
36
en
2026-07
237
N
68
45
60
75
60
3
3
1
4
3
2
2
3
1
2
3
1
3
3
3
1
3
3
2
3
3
1
3
1
2
3
3
3
4
1
3
1
2
3
3
3
3
3
4
1
2
3
3
3
3
1
3
2
3
3
37
en
2026-05
550
O
83
80
48
73
83
1
0
3
4
4
1
3
0
1
0
0
1
3
4
4
2
3
2
0
1
4
1
2
2
3
0
4
0
3
0
1
0
4
2
2
3
4
1
1
2
2
4
3
3
4
3
1
4
3
3
38
en
2026-08
259
A
93
73
53
68
65
3
0
3
2
3
1
4
2
1
2
3
0
4
4
3
2
4
2
1
2
3
1
2
3
2
1
4
0
2
1
1
0
4
2
3
4
3
1
2
2
1
4
2
3
4
2
3
3
3
2
39
en
2026-06
489
O
78
30
40
85
98
4
1
2
3
4
3
3
4
1
0
1
2
3
4
4
4
4
4
0
0
3
1
0
4
4
2
4
4
3
1
1
2
2
3
4
3
3
3
4
4
3
4
0
2
4
4
3
4
4
4
40
ja
2026-08
116
A
75
38
73
55
43
2
1
3
2
1
0
3
4
3
3
3
2
1
1
3
0
4
2
3
3
3
1
0
1
3
2
3
3
3
3
3
1
1
4
1
1
3
1
3
1
3
3
1
3
2
2
3
3
3
3
41
en
2026-08
197
O
70
65
78
83
93
3
1
3
4
3
1
3
0
0
0
3
3
3
4
4
1
3
2
0
0
3
1
1
1
4
0
3
0
4
0
3
1
3
3
3
1
3
3
3
3
3
3
3
3
4
1
3
2
3
4
42
en
2026-07
221
O
85
78
28
40
85
2
0
3
1
3
3
3
0
4
2
2
0
4
2
4
4
4
0
3
0
2
2
2
2
4
2
4
2
2
0
2
2
3
2
4
4
3
2
2
2
0
4
3
2
3
4
4
4
2
4
43
en
2026-05
196
O
100
48
33
18
100
0
0
3
2
4
0
4
3
4
0
1
0
3
0
4
3
4
3
4
0
1
0
0
0
4
0
4
4
3
0
0
0
3
0
4
3
4
0
1
4
1
4
1
1
4
4
4
3
0
4
44
en
2026-08
394
N
60
57
38
73
55
0
3
2
3
1
2
2
3
2
2
2
1
3
3
2
2
3
2
2
1
2
1
4
4
2
2
3
3
3
2
0
2
3
3
3
1
2
2
3
3
2
3
3
4
2
4
2
2
2
2
45
en
2026-06
38
E
40
40
50
20
30
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
46
ja
2026-08
125
A
63
55
45
48
50
1
1
1
3
2
2
2
1
3
1
2
0
3
3
2
2
3
1
2
1
3
2
2
3
2
2
1
1
2
2
1
2
2
1
1
2
3
3
1
1
2
3
3
1
3
3
2
1
2
1
47
vi
2026-08
213
O
60
53
25
70
75
1
1
3
3
2
3
3
2
3
1
2
3
2
3
4
3
3
3
0
1
1
1
2
1
3
4
3
3
3
0
1
1
2
4
2
3
2
1
3
2
2
1
3
3
3
4
2
2
3
4
48
unknown
2026-07
312
E
78
50
95
83
85
4
0
1
4
4
0
3
0
0
1
3
0
3
3
3
0
4
1
1
1
3
4
0
3
4
0
4
0
4
1
4
1
3
3
4
0
3
3
3
3
4
3
0
4
3
0
3
1
2
4
49
en
2026-08
203
N
55
38
33
57
48
0
3
2
3
2
3
2
3
2
1
2
1
2
3
2
1
2
2
2
2
0
2
1
3
1
2
2
3
3
2
0
2
2
2
3
2
3
2
1
1
2
3
1
3
1
3
2
1
1
2
50
ja
2026-07
127
O
68
43
73
10
88
3
2
2
0
3
1
3
1
4
0
2
0
1
1
4
2
2
2
4
0
3
2
1
0
4
1
4
1
0
0
3
2
1
1
4
1
3
3
2
3
4
2
1
0
2
1
3
2
0
3
51
en
2026-08
428
O
33
65
8
38
65
0
3
3
2
1
4
1
1
2
2
0
1
1
3
4
3
1
1
3
2
1
3
3
3
2
3
1
3
2
0
0
3
3
0
3
4
1
1
0
3
0
2
3
1
3
4
1
3
1
2
52
fa
2026-08
315
O
48
60
55
53
70
0
1
2
1
3
0
1
2
3
0
1
3
4
2
3
4
0
1
3
2
3
1
1
3
3
0
2
3
0
3
3
2
3
3
4
3
3
1
3
4
3
1
2
3
1
1
3
3
4
3
53
en
2026-07
229
A
93
78
70
25
70
3
0
3
1
3
1
4
3
3
1
4
1
4
1
3
3
4
0
3
3
4
0
3
2
3
1
3
0
1
0
4
0
3
1
3
3
4
1
0
2
1
3
3
1
3
0
4
3
1
3
54
en
2026-08
176
C
80
90
78
53
55
3
1
3
3
3
1
3
0
2
3
3
0
3
3
2
1
4
0
2
2
3
1
4
3
3
0
3
0
3
3
3
1
4
1
3
1
2
1
1
2
3
4
4
2
3
1
3
3
1
2
55
en
2026-06
35
N
55
48
40
65
57
0
3
1
4
3
4
3
2
0
3
2
1
3
3
0
2
4
3
1
2
3
4
2
1
0
3
4
2
0
1
2
3
4
3
3
1
3
3
3
4
2
1
2
2
3
3
2
1
3
4
56
en
2026-08
199
A
90
50
48
13
83
2
0
2
0
3
2
3
3
4
0
3
1
1
0
3
3
4
2
1
0
2
0
1
0
3
2
4
1
0
1
3
1
2
1
3
4
3
0
0
3
3
4
1
0
4
3
4
3
1
3
57
en
2026-06
137
A
93
73
18
33
38
0
0
3
1
1
2
3
0
3
3
1
0
3
2
1
4
4
1
1
3
0
0
1
1
1
2
4
0
1
3
1
0
3
1
3
4
3
2
1
1
0
4
3
1
4
3
3
3
1
1
58
ko
2026-08
161
N
65
70
13
73
63
0
0
1
4
4
4
3
0
0
3
0
0
3
4
3
3
1
3
0
1
0
1
4
1
2
1
2
1
1
2
0
0
3
3
2
3
1
1
3
3
0
3
3
1
4
4
1
3
4
1
59
fr
2026-08
262
O
68
75
30
53
80
1
0
3
1
2
0
1
0
4
1
0
0
4
4
4
3
1
0
1
1
1
1
0
1
4
1
4
0
4
0
0
1
4
3
3
3
2
4
1
1
1
3
3
3
4
4
2
4
1
4
60
unknown
2026-04
334
A
88
80
38
20
73
3
3
1
2
4
0
4
0
4
2
1
0
0
0
0
4
3
3
1
2
3
2
2
2
1
2
4
4
3
2
3
3
3
3
4
2
0
0
2
0
3
4
4
4
2
0
0
2
0
0
61
en
2026-07
344
O
70
73
35
38
93
2
4
3
3
3
3
1
1
0
0
1
0
1
3
4
3
4
2
3
0
1
3
3
0
3
1
4
2
1
0
4
1
4
0
4
4
3
0
0
3
0
4
3
1
4
3
4
4
2
4
62
unknown
2026-05
246
O
65
63
30
63
68
0
0
2
1
3
2
3
1
2
2
1
2
3
3
3
3
3
1
3
2
1
1
2
3
3
1
2
0
3
1
1
1
2
3
4
3
2
1
3
3
1
2
1
3
2
3
2
2
3
2
63
en
2026-06
651
C
80
93
70
43
80
4
0
4
0
4
0
4
1
0
0
4
0
4
1
3
4
4
1
0
0
4
4
3
0
4
0
4
0
0
0
4
0
4
0
4
0
3
0
4
0
0
4
4
0
1
4
1
4
4
4
64
en
2026-05
571
E
80
73
95
48
83
3
3
3
1
4
0
3
3
1
0
4
0
4
4
3
0
4
0
2
3
4
1
1
1
3
0
3
0
3
0
4
0
3
1
3
1
3
0
0
4
4
3
1
3
3
0
4
4
1
4
65
en
2026-06
149
A
78
50
15
55
73
1
1
1
3
3
3
3
3
1
3
1
0
3
4
3
3
3
3
1
1
1
1
0
3
4
3
4
4
1
1
0
3
4
1
3
4
3
1
2
3
0
4
4
1
3
4
3
3
1
3
66
unknown
2026-07
223
O
55
43
23
85
93
0
0
1
4
4
2
1
1
0
0
0
3
4
4
4
2
2
3
4
0
0
2
0
4
4
1
2
4
3
3
0
2
3
4
4
2
1
2
4
4
0
4
1
3
4
4
3
2
4
4
67
en
2026-06
143
A
68
35
50
50
60
3
3
2
1
0
3
3
3
3
1
3
1
1
1
3
3
3
3
3
2
1
2
1
3
3
2
3
4
2
1
2
1
1
3
3
1
3
3
2
1
3
3
3
3
3
3
3
3
3
3
68
unknown
2026-05
181
N
57
70
75
95
43
3
4
3
4
1
0
3
0
0
3
3
3
4
4
2
2
3
3
1
1
3
0
1
4
2
0
1
3
4
2
1
1
4
4
3
1
3
1
4
1
3
3
4
4
0
0
2
3
3
2
69
ar
2026-08
119
O
68
57
57
68
73
2
1
3
4
4
1
2
3
3
1
3
0
3
3
3
1
3
0
0
2
4
2
2
2
3
1
3
2
2
1
3
1
3
4
3
4
2
3
3
3
1
1
1
3
2
3
4
3
1
3
70
en
2026-08
176
N
33
85
30
93
80
1
1
3
4
3
3
1
0
1
1
1
3
4
4
4
3
1
1
0
1
2
4
4
4
3
3
2
0
4
1
1
3
4
4
3
3
1
1
3
3
3
1
4
3
4
4
2
1
4
3
71
unknown
2026-05
null
O
80
60
55
40
83
2
4
1
1
3
2
3
3
3
2
2
0
4
3
4
3
4
2
2
0
3
1
1
3
4
1
4
2
0
0
3
1
4
3
3
2
3
2
3
2
3
4
3
0
3
3
4
4
0
4
72
en
2026-07
103
C
48
55
50
53
50
2
2
3
2
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
3
3
2
3
2
2
2
3
2
2
2
2
2
2
2
2
2
2
2
73
ko
2026-07
159
A
73
55
43
70
68
1
1
3
3
1
2
3
2
1
1
2
1
3
4
4
3
3
1
2
1
3
1
1
2
3
2
3
3
3
1
2
1
3
3
3
2
3
3
2
1
1
3
2
3
4
3
2
3
3
2
74
en
2026-06
207
N
38
23
13
68
38
0
1
0
4
2
3
0
3
2
3
0
1
1
2
1
4
2
3
2
1
0
3
1
3
0
4
0
3
3
3
0
3
0
3
1
4
2
2
3
2
4
1
0
3
3
4
2
2
2
1
75
unknown
2026-05
339
N
63
40
18
88
45
0
1
0
4
2
4
0
1
0
2
0
0
4
4
2
3
4
4
0
1
1
1
0
4
1
2
4
0
0
4
1
3
4
4
4
3
2
3
4
0
1
3
0
3
3
4
1
0
4
1
76
en
2026-08
804
A
88
78
50
40
68
3
4
3
1
1
1
4
3
1
1
1
0
4
4
3
3
4
0
0
1
3
0
3
3
3
3
4
1
0
0
3
0
4
0
3
3
3
0
0
0
3
4
4
0
4
3
4
1
1
3
77
en
2026-07
366
N
75
40
33
80
38
3
1
0
3
1
4
3
3
1
3
1
0
2
4
2
2
4
3
0
2
1
2
3
3
2
4
4
4
3
2
1
2
2
3
1
0
3
1
2
1
1
3
2
3
2
4
2
2
4
1
78
en
2026-08
182
O
65
65
18
63
68
2
1
2
3
1
4
2
1
1
2
1
0
4
3
4
3
3
2
1
2
0
4
2
3
3
3
4
0
2
1
0
2
3
3
3
4
2
2
1
3
2
3
2
2
2
4
3
2
2
4
79
unknown
2026-05
161
C
50
70
35
35
55
3
3
3
2
2
2
2
1
3
3
2
2
3
3
3
3
2
0
2
2
1
2
2
1
2
2
1
0
0
0
2
2
2
0
2
4
3
2
1
2
1
3
3
2
3
4
2
2
2
1
80
ja
2026-08
165
A
70
45
60
50
68
3
1
1
3
4
1
1
3
3
1
3
1
1
3
3
1
4
1
1
1
3
1
3
1
3
3
3
3
1
1
3
3
3
3
1
1
3
1
3
1
1
3
1
1
3
3
4
1
1
3
81
th
2026-08
333
N
43
40
40
75
70
0
2
2
4
2
2
2
3
3
2
1
1
3
4
4
3
2
1
1
1
2
3
0
4
3
1
1
3
3
1
1
3
1
3
2
2
1
1
2
3
2
2
1
3
2
2
2
1
3
4
82
en
2026-07
null
E
33
33
38
33
28
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
83
en
2026-07
267
A
80
53
40
48
48
0
1
1
1
3
1
3
0
1
2
3
0
3
4
2
1
3
1
1
1
3
1
0
1
2
1
3
3
1
3
0
0
3
1
1
4
3
1
1
1
0
3
1
1
3
3
3
2
3
1
84
ar
2026-07
211
O
53
83
63
13
85
3
4
4
0
4
2
0
0
3
1
1
1
3
1
3
0
2
0
1
1
3
1
3
0
4
1
3
0
0
0
3
3
3
0
4
4
2
1
0
2
2
3
2
0
3
0
4
3
0
4
85
unknown
2026-04
null
O
83
30
53
60
93
4
4
0
3
3
0
0
0
3
0
3
0
3
3
3
1
1
3
1
2
3
3
3
0
1
0
3
2
4
0
1
2
0
1
1
4
3
2
3
1
4
4
3
3
3
3
0
1
0
0
86
ja
2026-07
223
A
68
40
48
63
48
3
1
1
3
3
1
3
3
2
3
3
3
2
3
2
3
3
1
1
2
3
1
1
3
0
3
3
3
4
1
2
1
1
1
3
3
3
1
1
1
1
3
1
3
4
3
2
2
2
0
87
ko
2026-07
174
N
48
38
15
73
55
1
1
0
2
2
3
3
3
1
2
1
3
3
4
3
4
1
3
1
0
1
1
1
3
1
3
2
3
1
1
0
0
3
3
3
4
0
3
3
3
0
1
1
3
1
3
1
3
4
0
88
en
2026-07
145
O
85
48
40
15
100
4
0
3
1
4
3
4
4
4
0
4
2
4
1
4
4
4
3
3
0
3
0
2
0
4
3
2
4
0
0
2
0
1
1
4
4
4
0
1
4
0
4
2
0
4
3
2
2
1
4
89
en
2026-08
331
C
30
65
57
48
63
2
2
4
3
1
4
0
3
3
3
2
3
3
2
4
2
0
3
2
2
3
3
3
0
4
0
4
2
1
0
3
4
4
4
0
3
0
2
3
2
3
1
2
1
3
1
3
4
2
4
90
en
2026-05
203
O
53
53
68
70
73
3
3
3
3
2
3
3
3
1
2
3
0
3
4
4
1
1
2
1
2
3
3
1
1
3
1
1
3
3
1
4
2
3
3
3
2
2
1
2
3
3
3
2
3
4
2
3
2
3
3
91
unknown
2026-07
null
C
63
63
50
38
60
3
4
3
2
2
3
2
0
3
3
4
0
4
3
2
2
2
2
2
3
3
1
2
0
3
3
3
3
2
0
1
1
1
1
4
1
3
2
1
1
1
3
3
1
3
3
2
3
2
3
92
unknown
2026-05
966
O
68
78
53
30
88
2
1
4
1
3
3
4
0
4
0
3
0
3
3
4
3
1
1
2
1
3
2
1
1
3
0
1
1
1
0
2
0
3
1
4
3
4
0
1
2
4
0
3
1
4
4
4
3
1
4
93
en
2026-08
229
O
80
20
48
80
80
1
1
0
4
4
1
3
4
1
1
2
0
1
4
4
2
4
3
1
1
3
0
0
3
2
3
3
4
3
0
1
1
1
3
2
2
1
1
3
3
1
4
1
3
3
1
3
1
3
4
94
ja
2026-08
225
O
83
38
70
43
83
3
0
2
1
3
0
4
4
3
0
4
1
2
1
4
3
4
3
2
0
3
3
0
1
3
1
3
4
2
0
3
1
2
3
4
1
3
0
3
2
3
4
2
1
3
3
4
2
2
2
95
en
2026-05
199
A
90
70
50
60
57
2
0
2
2
3
2
4
1
2
2
3
0
4
3
2
2
3
1
0
2
3
0
2
2
2
2
4
2
2
2
2
1
2
3
3
2
4
0
3
3
2
4
3
2
2
4
2
3
1
2
96
es
2026-08
169
E
40
50
55
35
45
3
3
2
1
3
1
1
1
4
1
2
3
2
2
2
2
2
2
3
2
2
2
2
1
1
2
2
3
2
3
2
1
0
0
0
3
3
3
3
2
2
1
4
3
3
1
0
3
1
1
97
en
2026-07
432
A
70
55
63
50
65
3
3
3
2
2
2
3
3
2
2
3
1
3
2
3
2
3
2
2
1
3
0
2
1
3
2
2
3
2
1
3
1
2
3
3
1
3
1
2
1
3
3
3
2
3
3
3
2
2
3
98
unknown
2026-07
null
A
80
70
35
53
73
1
0
2
3
3
4
3
1
1
1
1
0
1
3
4
3
4
0
0
1
3
1
4
1
3
4
1
0
1
1
3
1
3
1
4
3
3
0
1
1
3
4
0
1
1
3
3
3
3
4
99
en
2026-07
365
C
75
78
45
53
65
2
3
3
2
2
3
3
0
2
2
2
0
4
3
2
2
4
1
2
1
2
0
2
3
2
2
4
0
1
0
2
2
2
2
3
1
3
2
2
2
1
3
4
2
3
3
2
3
2
3
100
en
2026-06
54
N
55
55
50
65
60
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
End of preview. Expand in Data Studio

JobCannon Psychometric Response Dataset

v3 — 54,431 item-level responses across nine instruments and 25 languages.

Anonymized, item-level responses to nine open-domain psychometric instruments, collected from real test-takers on JobCannon. Each row is one completed assessment: the raw per-item answers, the computed dimensional scores, and the dominant result type.

This is a first-party dataset — our own users' responses, not a re-publication of someone else's data.

What is new in v3

The corpus grew 22.8% in nine weeks. The part that matters grew more than twice as fast.

  • Non-English responses are up 52.9% — 10,535 → 16,112, against 22.8% for the dataset as a whole. Open psychometric corpora are almost entirely English; this is the part of the release that is hardest to find elsewhere, and it is now 29.6% of every row here.
  • Two languages appear for the first time: Uzbek (uz) and Persian (fa).
  • Hebrew and Ukrainian cross into the aggregate tables. Both had item-level rows in v2 but neither reached the n ≥ 100 floor in any instrument, so neither appeared in a single aggregate cell. Both do now.
  • Publishable aggregate cells: 42 → 57. Thirteen locale labels now reach n ≥ 100 somewhere, up from eleven.
  • Total: 44,342 → 54,431 item-level responses, +10,089.

One correction carried over from v2's card: the language table there labelled Ukrainian uk. The files have always used ua, and the table below now matches them — a reader grepping the CSVs for uk found nothing. (Hugging Face's language index above still lists the ISO code uk, because that is the code its index accepts; the value written in the locale column is ua.)

Files

Item-level — one row per completed assessment

config instrument items responses
mbti 16-type indicator 60 17,761
career_match Mini-RIASEC forced choice 12 8,445
riasec Holland Codes 60 5,891
disc DISC 12 5,444
enneagram Enneagram 36 4,412
multiple_intelligences Gardner MI 40 4,161
big_five Five-Factor 50 3,997
eq Emotional intelligence 10 3,100
dark_triad Dark Triad 18 1,220
54,431

Columns: response_id, locale, year_month, duration_seconds, top_result, score_<dimension> …, q1qN.

Item wording is not distributed. The q columns hold answer values only.

Aggregates — by instrument × language

config rows what it holds
coverage 224 n, item count, distinct results and median duration for every instrument × locale cell, with a publishable flag (n ≥ 100)
result_distribution_by_locale 413 share of each result type, per instrument per locale
dimension_means_by_locale 376 mean of each score dimension, per instrument per locale

Aggregates suppress small cells: a locale cell needs n ≥ 100 to appear, and a result category with n < 30 is folded into other_below_30.

_manifest.json is not a config — it records, per instrument, the raw row count pulled, the count kept after item-count filtering, and the resulting column count, so the numbers quoted here can be checked against the build.

Language coverage

Item-level responses per language, all instruments combined:

en 33,712 ja 3,359 ar 2,656 ko 2,075 es 1,471 id 1,225
fr 944 ru 870 pt 739 th 546 ua 506 he 343
zh 325 it 255 de 212 tr 187 pl 103 vi 93
sv 56 fa 55 nl 34 hi 23 uz 14 nb 11
kk 10

A further 4,607 responses carry no locale and are labelled unknown. Thirteen locale labels — ar en es fr he id ja ko pt ru th ua and unknown — reach n ≥ 100 in at least one instrument and therefore appear in the aggregate tables, in 57 instrument × locale cells.

The unknown bucket is nine rows smaller than in v2 while every instrument grew. Rows are not deleted from the source table; a response that arrived without a locale can acquire one later, which moves it out of unknown and into a named language. So v3 is a superset of v2 by instrument but not cell-for-cell, and the two unknown columns are not directly comparable.

Privacy

No personal data is in these files, and none is read in the first place. The build selects exactly six columns — locale, answers, scores, top_result, duration_seconds, created_at — so the identifying columns that exist on the source table (user id, anonymous id, participant name and email, referrer, entry host and path, UTM parameters, cohort and organization ids) cannot reach the output even through a later change to the writer.

Two further reductions: response_id is a per-file sequential integer rather than the database id, and the timestamp is truncated to year_month, so a row cannot be joined back to a session by its time.

Method

  • Rows are filtered to each instrument's current item count. A response whose answer array is any other length is a legacy test version or an incomplete and is dropped — 2,804 of 57,235 raw rows (4.9%).
  • score_* columns hold the numeric dimensions exactly as scored by the live site. Categorical outputs (MBTI's full type with the identity suffix, for instance) travel in top_result.
  • duration_seconds is blank where the recorded value was ≤ 0 or ≥ 7,200 s.

Citation

@dataset{jobcannon_psychometric_2026,
  title  = {JobCannon Psychometric Response Dataset},
  author = {Kolomiets, Peter},
  year   = {2026},
  version = {3.0},
  publisher = {JobCannon},
  doi    = {10.5281/zenodo.20686669},
  url    = {https://doi.org/10.5281/zenodo.20686669}
}

That handle is Zenodo's concept DOI: it always resolves to the newest version, so a citation written today keeps working after the next release. If you need to pin a snapshot instead, every version carries its own DOI, listed on the Zenodo record.

Figshare mints a second DataCite handle for this release, 10.6084/m9.figshare.32668833, and it is current. The third handle we hold, Harvard Dataverse 10.7910/DVN/RL99KS, still resolves to v2 — Harvard's servers stopped accepting requests from our network partway through this release, so the deposit there could not be made. For v3, cite Zenodo or Figshare; the Harvard handle is correct only for v2, and it will be updated once we can reach them again.

Mirrors

Each mirror is re-deposited on its own cycle, so at any moment some of them lag. The column above is the only reliable way to tell which snapshot a host is serving before downloading from it, and it is kept accurate rather than aspirational — if a host is still on v2 when you read this, this table says so.

A v1 copy also lived on data.world until that platform retired its Open Data Community on 13 July 2026 and deleted the community datasets; that mirror is gone, and the seven above are the whole list.

Live aggregate norms, recomputed monthly and larger than this frozen snapshot, are published at jobcannon.io/research/distributions. Reliability coefficients for the same instruments are at jobcannon.io/research/reliability.

License

CC-BY-4.0. Use it, build on it, cite it.

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