Dataset Viewer
Auto-converted to Parquet Duplicate
image
imagewidth (px)
1k
1k
instruction
stringlengths
2
12
bbox
list
gt_center_x
float32
61
941
gt_center_y
float32
53
942
token_type
stringclasses
2 values
font_size
int32
7
30
num_tokens_target
int32
20
2k
num_tokens_placed
int32
20
2k
vertical_gap
int32
2
15
horizontal_gap
int32
4
20
difficulty
float32
0
1
tier
int32
1
5
tier_name
stringclasses
5 values
image_width
int32
1k
1k
image_height
int32
1k
1k
example_idx
int32
0
999
still
[ 122, 48, 216, 75 ]
169
61.5
word
30
20
20
15
20
0
1
easy
1,000
1,000
0
ViewSet
[ 242, 91, 368, 117 ]
305
104
qwen_token
29
20
20
14
19
0.001001
1
easy
1,000
1,000
1
for
[ 721, 91, 777, 117 ]
749
104
word
29
21
21
14
19
0.002002
1
easy
1,000
1,000
2
\helpers
[ 419, 48, 563, 80 ]
491
64
qwen_token
29
22
22
14
19
0.003003
1
easy
1,000
1,000
3
right
[ 48, 48, 139, 80 ]
93.5
64
word
29
23
23
14
19
0.004004
1
easy
1,000
1,000
4
inged
[ 137, 134, 228, 166 ]
182.5
150
qwen_token
29
24
24
14
19
0.005005
1
easy
1,000
1,000
5
example
[ 776, 48, 902, 80 ]
839
64
word
29
24
24
14
19
0.006006
1
easy
1,000
1,000
6
linik
[ 579, 91, 671, 117 ]
625
104
qwen_token
29
25
25
14
19
0.007007
1
easy
1,000
1,000
7
significant
[ 527, 91, 723, 123 ]
625
107
word
29
26
26
14
19
0.008008
1
easy
1,000
1,000
8
_CHILD
[ 436, 134, 545, 166 ]
490.5
150
qwen_token
29
27
27
14
19
0.009009
1
easy
1,000
1,000
9
service
[ 455, 177, 581, 203 ]
518
190
word
29
28
28
14
19
0.01001
1
easy
1,000
1,000
10
uably
[ 739, 91, 830, 123 ]
784.5
107
qwen_token
29
28
28
14
19
0.011011
1
easy
1,000
1,000
11
new
[ 824, 134, 881, 154 ]
852.5
144
word
29
29
29
14
19
0.012012
1
easy
1,000
1,000
12
_submit
[ 753, 177, 879, 210 ]
816
193.5
qwen_token
29
30
30
14
19
0.013013
1
easy
1,000
1,000
13
out
[ 597, 48, 653, 73 ]
625
60.5
word
29
31
31
14
19
0.014014
1
easy
1,000
1,000
14
ady
[ 313, 220, 369, 252 ]
341
236
qwen_token
29
32
32
14
19
0.015015
1
easy
1,000
1,000
15
experience
[ 48, 177, 227, 209 ]
137.5
193
word
29
32
32
14
19
0.016016
1
easy
1,000
1,000
16
Exports
[ 734, 90, 856, 120 ]
795
105
qwen_token
28
33
33
14
19
0.017017
1
easy
1,000
1,000
17
beautiful
[ 668, 48, 824, 73 ]
746
60.5
word
28
34
34
14
19
0.018018
1
easy
1,000
1,000
18
tant
[ 48, 48, 119, 71 ]
83.5
59.5
qwen_token
28
35
35
14
19
0.019019
1
easy
1,000
1,000
19
beautiful
[ 202, 216, 358, 241 ]
280
228.5
word
28
36
36
14
19
0.02002
1
easy
1,000
1,000
20
.Edit
[ 48, 90, 136, 115 ]
92
102.5
qwen_token
28
36
36
14
19
0.021021
1
easy
1,000
1,000
21
red
[ 118, 48, 173, 73 ]
145.5
60.5
word
28
37
37
14
19
0.022022
1
easy
1,000
1,000
22
uess
[ 372, 216, 443, 235 ]
407.5
225.5
qwen_token
28
38
38
14
19
0.023023
1
easy
1,000
1,000
23
professional
[ 48, 174, 254, 205 ]
151
189.5
word
28
39
39
14
19
0.024024
1
easy
1,000
1,000
24
_LAT
[ 48, 174, 120, 205 ]
84
189.5
qwen_token
28
40
40
14
18
0.025025
1
easy
1,000
1,000
25
their
[ 48, 48, 136, 73 ]
92
60.5
word
28
41
41
14
18
0.026026
1
easy
1,000
1,000
26
apid
[ 407, 216, 478, 247 ]
442.5
231.5
qwen_token
28
41
41
14
18
0.027027
1
easy
1,000
1,000
27
all
[ 48, 132, 103, 157 ]
75.5
144.5
word
28
42
42
14
18
0.028028
1
easy
1,000
1,000
28
.scalar
[ 48, 90, 170, 115 ]
109
102.5
qwen_token
28
43
43
14
18
0.029029
1
easy
1,000
1,000
29
government
[ 167, 174, 340, 203 ]
253.5
188.5
word
28
44
44
14
18
0.03003
1
easy
1,000
1,000
30
orders
[ 201, 132, 306, 157 ]
253.5
144.5
qwen_token
28
45
45
14
18
0.031031
1
easy
1,000
1,000
31
too
[ 880, 174, 935, 197 ]
907.5
185.5
word
28
45
45
14
18
0.032032
1
easy
1,000
1,000
32
,U
[ 543, 48, 581, 76 ]
562
62
qwen_token
28
46
46
14
18
0.033033
1
easy
1,000
1,000
33
sentence
[ 775, 48, 909, 71 ]
842
59.5
word
27
47
47
13
18
0.034034
1
easy
1,000
1,000
34
(Id
[ 360, 248, 413, 276 ]
386.5
262
qwen_token
27
48
48
13
18
0.035035
1
easy
1,000
1,000
35
him
[ 496, 168, 549, 193 ]
522.5
180.5
word
27
49
49
13
18
0.036036
1
easy
1,000
1,000
36
CHAIN
[ 675, 88, 760, 112 ]
717.5
100
qwen_token
27
49
49
13
18
0.037037
1
easy
1,000
1,000
37
national
[ 279, 248, 413, 273 ]
346
260.5
word
27
50
50
13
18
0.038038
1
easy
1,000
1,000
38
.ZERO
[ 510, 288, 595, 312 ]
552.5
300
qwen_token
27
51
51
13
18
0.039039
1
easy
1,000
1,000
39
his
[ 855, 88, 908, 113 ]
881.5
100.5
word
27
52
52
13
18
0.04004
1
easy
1,000
1,000
40
_folders
[ 311, 168, 445, 199 ]
378
183.5
qwen_token
27
53
53
13
18
0.041041
1
easy
1,000
1,000
41
small
[ 147, 288, 232, 313 ]
189.5
300.5
word
27
53
53
13
18
0.042042
1
easy
1,000
1,000
42
simulate
[ 279, 288, 413, 313 ]
346
300.5
qwen_token
27
54
54
13
18
0.043043
1
easy
1,000
1,000
43
technology
[ 577, 88, 744, 119 ]
660.5
103.5
word
27
55
55
13
18
0.044044
1
easy
1,000
1,000
44
Allocator
[ 147, 208, 297, 233 ]
222
220.5
qwen_token
27
56
56
13
18
0.045045
1
easy
1,000
1,000
45
about
[ 559, 328, 644, 353 ]
601.5
340.5
word
27
57
57
13
18
0.046046
1
easy
1,000
1,000
46
.Mon
[ 430, 168, 499, 192 ]
464.5
180
qwen_token
27
57
57
13
18
0.047047
1
easy
1,000
1,000
47
would
[ 345, 48, 430, 73 ]
387.5
60.5
word
27
58
58
13
18
0.048048
1
easy
1,000
1,000
48
_SECRET
[ 708, 48, 826, 78 ]
767
63
qwen_token
27
59
59
13
18
0.049049
1
easy
1,000
1,000
49
close
[ 793, 165, 875, 189 ]
834
177
word
26
60
60
13
17
0.05005
1
easy
1,000
1,000
50
etre
[ 412, 48, 479, 70 ]
445.5
59
qwen_token
26
61
61
13
17
0.051051
1
easy
1,000
1,000
51
president
[ 781, 87, 926, 116 ]
853.5
101.5
word
26
62
62
13
17
0.052052
1
easy
1,000
1,000
52
ENCIL
[ 48, 48, 130, 71 ]
89
59.5
qwen_token
26
62
62
13
17
0.053053
1
easy
1,000
1,000
53
following
[ 143, 126, 288, 155 ]
215.5
140.5
word
26
63
63
13
17
0.054054
1
easy
1,000
1,000
54
onomies
[ 474, 165, 588, 189 ]
531
177
qwen_token
26
64
64
13
17
0.055055
1
easy
1,000
1,000
55
are
[ 730, 282, 781, 300 ]
755.5
291
word
26
65
65
13
17
0.056056
1
easy
1,000
1,000
56
atal
[ 509, 48, 576, 72 ]
542.5
60
qwen_token
26
66
66
13
17
0.057057
1
easy
1,000
1,000
57
particular
[ 112, 48, 273, 77 ]
192.5
62.5
word
26
66
66
13
17
0.058058
1
easy
1,000
1,000
58
_CRITICAL
[ 334, 126, 479, 155 ]
406.5
140.5
qwen_token
26
67
67
13
17
0.059059
1
easy
1,000
1,000
59
still
[ 491, 165, 573, 189 ]
532
177
word
26
68
68
13
17
0.06006
1
easy
1,000
1,000
60
std
[ 666, 243, 717, 267 ]
691.5
255
qwen_token
26
69
69
13
17
0.061061
1
easy
1,000
1,000
61
computer
[ 48, 321, 177, 348 ]
112.5
334.5
word
26
70
70
13
17
0.062062
1
easy
1,000
1,000
62
stdafx
[ 809, 48, 907, 72 ]
858
60
qwen_token
26
70
70
13
17
0.063063
1
easy
1,000
1,000
63
eat
[ 682, 126, 733, 148 ]
707.5
137
word
26
71
71
13
17
0.064064
1
easy
1,000
1,000
64
live
[ 160, 48, 227, 72 ]
193.5
60
qwen_token
26
72
72
13
17
0.065065
1
easy
1,000
1,000
65
following
[ 669, 48, 814, 77 ]
741.5
62.5
word
26
73
73
13
17
0.066066
1
easy
1,000
1,000
66
.Look
[ 846, 85, 925, 108 ]
885.5
96.5
qwen_token
25
74
74
12
17
0.067067
1
easy
1,000
1,000
67
another
[ 613, 48, 722, 71 ]
667.5
59.5
word
25
74
74
12
17
0.068068
1
easy
1,000
1,000
68
-ft
[ 277, 159, 326, 182 ]
301.5
170.5
qwen_token
25
75
75
12
17
0.069069
1
easy
1,000
1,000
69
technology
[ 673, 196, 827, 224 ]
750
210
word
25
76
76
12
17
0.07007
1
easy
1,000
1,000
70
rice
[ 247, 381, 311, 404 ]
279
392.5
qwen_token
25
77
77
12
17
0.071071
1
easy
1,000
1,000
71
all
[ 339, 307, 388, 330 ]
363.5
318.5
word
25
78
78
12
17
0.072072
1
easy
1,000
1,000
72
ercicio
[ 797, 85, 906, 108 ]
851.5
96.5
qwen_token
25
78
78
12
17
0.073073
1
easy
1,000
1,000
73
large
[ 627, 196, 706, 224 ]
666.5
210
word
25
79
79
12
17
0.074074
1
easy
1,000
1,000
74
PYTHON
[ 397, 122, 491, 144 ]
444
133
qwen_token
25
80
80
12
16
0.075075
1
easy
1,000
1,000
75
sentence
[ 48, 85, 172, 107 ]
110
96
word
25
81
81
12
16
0.076076
1
easy
1,000
1,000
76
OrderBy
[ 517, 159, 626, 187 ]
571.5
173
qwen_token
25
82
82
12
16
0.077077
1
easy
1,000
1,000
77
technology
[ 503, 196, 657, 224 ]
580
210
word
25
83
83
12
16
0.078078
1
easy
1,000
1,000
78
ITTLE
[ 852, 270, 931, 292 ]
891.5
281
qwen_token
25
83
83
12
16
0.079079
1
easy
1,000
1,000
79
how
[ 215, 233, 265, 256 ]
240
244.5
word
25
84
84
12
16
0.08008
1
easy
1,000
1,000
80
chn
[ 790, 233, 839, 256 ]
814.5
244.5
qwen_token
25
85
85
12
16
0.081081
1
easy
1,000
1,000
81
experience
[ 397, 48, 551, 76 ]
474
62
word
25
86
86
12
16
0.082082
1
easy
1,000
1,000
82
Votes
[ 768, 84, 844, 106 ]
806
95
qwen_token
24
87
87
12
16
0.083083
1
easy
1,000
1,000
83
example
[ 737, 372, 842, 399 ]
789.5
385.5
word
24
87
87
12
16
0.084084
1
easy
1,000
1,000
84
_dense
[ 48, 228, 139, 256 ]
93.5
242
qwen_token
24
88
88
12
16
0.085085
1
easy
1,000
1,000
85
she
[ 473, 156, 520, 178 ]
496.5
167
word
24
89
89
12
16
0.086086
1
easy
1,000
1,000
86
FRINGEMENT
[ 576, 84, 725, 106 ]
650.5
95
qwen_token
24
90
90
12
16
0.087087
1
easy
1,000
1,000
87
use
[ 635, 372, 682, 389 ]
658.5
380.5
word
24
91
91
12
16
0.088088
1
easy
1,000
1,000
88
AGING
[ 504, 48, 580, 70 ]
542
59
qwen_token
24
91
91
12
16
0.089089
1
easy
1,000
1,000
89
being
[ 239, 336, 315, 363 ]
277
349.5
word
24
92
92
12
16
0.09009
1
easy
1,000
1,000
90
hir
[ 340, 84, 387, 106 ]
363.5
95
qwen_token
24
93
93
12
16
0.091091
1
easy
1,000
1,000
91
old
[ 341, 84, 388, 106 ]
364.5
95
word
24
94
94
12
16
0.092092
1
easy
1,000
1,000
92
meteor
[ 811, 228, 902, 249 ]
856.5
238.5
qwen_token
24
95
95
12
16
0.093093
1
easy
1,000
1,000
93
country
[ 636, 48, 741, 74 ]
688.5
61
word
24
95
95
12
16
0.094094
1
easy
1,000
1,000
94
_attrib
[ 825, 228, 930, 256 ]
877.5
242
qwen_token
24
96
96
12
16
0.095095
1
easy
1,000
1,000
95
technology
[ 621, 264, 770, 291 ]
695.5
277.5
word
24
97
97
12
16
0.096096
1
easy
1,000
1,000
96
/widget
[ 590, 300, 695, 327 ]
642.5
313.5
qwen_token
24
98
98
12
16
0.097097
1
easy
1,000
1,000
97
place
[ 590, 228, 666, 255 ]
628
241.5
word
24
99
99
12
16
0.098098
1
easy
1,000
1,000
98
.lot
[ 239, 372, 301, 394 ]
270
383
qwen_token
24
100
100
12
16
0.099099
1
easy
1,000
1,000
99
End of preview. Expand in Data Studio
README.md exists but content is empty.
Downloads last month
13