Datasets:
Confirm-Labs
/
pythia-12b-neuron-dataset-examples

Dataset card Data Studio Files Community
layer
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35
neuron
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57
52
2.771484
1
planned.^\[[@
9,355
43,782
51
1,012
32,214
1,707
403
374
5,012
31,096
51
1,166
2,947
51
1,797
32,214
0
57
53
2.771484
1
chromosome.^\[[@
15,406
43,782
51
18
32,214
4,200
21,137
305
3,681
15,819
273
3,807
15,769
8,453
313
24,580
0
57
54
2.771484
15
of clonal plasma cells, resulting in a detectable monoclonal component or M-protein.^\[[@
273
47,957
6,532
1,341
13
4,795
275
247
21,759
22,592
4,445
390
353
14
20,529
43,782
0
57
55
2.771484
0
.^\[[@
43,782
51
19
32,214
496
436
1,083
13
359
6,266
247
3,110
665
3,715
24,879
3,016
0
57
56
2.771484
15
has a worldwide annual incidence of 1 to 2 cases per 100,000 individuals.^\[[@
556
247
11,762
7,970
9,364
273
337
281
374
2,219
591
2,233
13
933
4,292
43,782
0
57
57
2.771484
8
and 3% of those ≥70 years.^\[[@
285
495
6
273
1,110
12,667
1,967
1,107
43,782
51
21
32,214
24,879
3,016
310
271
0
57
58
2.771484
1
manifestations.^\[[@
26,683
43,782
51
22
32,214
3,856
359
1,304
253
8,996
273
8,017
49
387
24,879
3,016
0
57
59
2.771484
10
observations indicate an association between ITP and MGUS.^\[[@
7,313
5,224
271
5,864
875
8,017
49
285
24,879
3,016
43,782
51
23
7,254
51
25
0
57
60
2.771484
0
.^\[[@
43,782
51
23
32,214
380
6,944
4,606
323
253
5,864
875
24,879
3,016
285
8,017
49
0
57
61
2.771484
15
rotein in these patients may act as a platelet-reactive autoantibody.^\[[@
3,326
249
275
841
1,363
778
769
347
247
21,039
14
31,708
6,753
25,499
1,197
43,782
0
57
62
2.771484
7
disease through deposition of secreted M proteins.^\[[@
2,728
949
12,503
273
27,668
353
4,324
43,782
51
19
32,214
4,923
273
617
4,755
6,379
0
57
63
2.771484
0
.^\[[@
43,782
51
740
32,214
8,017
49
1,537
320
581
273
731
43,782
51
883
32,214
187
0
58
0
2.689453
7
to a company that supplies DNA microarrays
281
247
2,567
326
13,191
3,882
2,494
43,451
285
13,225
13
323
27,585
6,264
1,320
285
0
58
1
2.689453
9
, x, y) extra_arrays
13
1,269
13
340
10
535
50,270
24,124
64
43,451
426
8,168
187
50,270
338
346
0
58
2
2.689453
13
vV" and direction is not None: extra_arrays
87
55
3
285
3,884
310
417
8,256
27
187
50,266
24,124
64
43,451
15
31,930
0
58
3
2.689453
12
is matrix or file." ) extra_arrays
310
4,315
390
1,873
449
187
50,262
10
187
50,266
24,124
64
43,451
15
9,691
9
0
58
4
2.689453
10
or file." ) extra_arrays
390
1,873
449
187
50,262
10
187
50,266
24,124
64
43,451
15
9,691
9
84
4,219
0
58
5
2.689453
3
*extra_arrays
475
24,124
64
43,451
187
50,262
10
535
50,266
3,113
1,873
64
8,882
347
269
1,590
0
58
6
2.689453
10
patients. However, GEP through microarrays
1,363
15
187
187
6,436
13
443
13,801
949
2,494
43,451
24,543
247
5,691
984
352
0
58
7
2.689453
1
microarrays
2,494
43,451
15
6,102
7,274
403
12,207
604
7,296
253
1,711
9,162
7,259
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11,096
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2.689453
14
rgb=rgb ) # better to pass the ndarrays
46,206
30
31,952
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50,270
10
535
50,270
4
1,805
281
1,509
253
40,515
43,451
3,587
0
58
9
2.689453
3
(Le(arrays
9
4,015
9
43,451
907
9
76
4,015
2,320
6,060
50
7,886
9,679
187
50,258
4,015
0
58
10
2.689453
1
(arrays
9
43,451
907
9
76
4,015
2,320
8,207
1,271
9,679
2,070
9
43,451
907
9
76
0
58
11
2.689453
12
(arraysize(kLeafIndices)), Le(arrays
9
43,451
907
9
76
4,015
2,320
8,207
1,271
9,679
2,070
9
43,451
907
9
76
0
58
12
2.689453
10
48 hours post-stimulation, using oligonucleotide microarrays
5,693
3,038
1,501
14
15,980
1,427
13
970
46,383
2,494
43,451
313
2,887
544
22,025
285
0
58
13
2.689453
15
etectors that can be cost-effectively manufactured into high-density arrays
32,043
641
326
476
320
2,105
14
8,222
1,242
18,461
715
1,029
14
20,425
187
43,451
0
58
14
2.689453
1
-arrays
14
43,451
187
475
1,214
3,575
1,058
1,190
1,100
4,972
273
4,972
273
1,058
1,190
1,100
0
58
15
2.689453
10
* @return cell-array of struct-arrays
187
475
1,214
2,309
894
14
3,728
273
1,577
14
43,451
353
89
6,542
1,789
187
0
58
16
2.689453
1
-arrays
14
43,451
353
89
6,542
1,789
187
475
1,214
2,309
4,972
273
4,972
273
1,058
36,226
0
58
17
2.689453
1
-arrays
14
43,451
14
40,084
14
16,065
14
25,322
14
1,171
14
31,560
14
1,200
6,475
14
0
58
18
2.689453
13
,Bin}}}, some) -> vbo_draw_arrays
13
38,601
31,125
690
10
5,204
187
50,274
87
2,399
64
6,553
64
43,451
47,928
5,990
0
58
19
2.689453
4
bo_draw_arrays
2,399
64
6,553
64
43,451
47,928
5,990
64
29,193
1,410
13
28,494
481
187
187
87
0
58
20
2.689453
4
bo_draw_arrays
2,399
64
6,553
64
43,451
9
2,548
13
5,128
10
5,204
187
50,274
47
426
12,243
0
58
21
2.689453
14
app_def] QED Theorem op_byte_arrays
1,212
64
1,545
62
187
50
1,703
187
187
28,892
1,121
64
8,833
64
43,451
27
0
58
22
2.689453
13
_list \\ fs [] QED Theorem op_arrays
64
3,550
3,202
25,290
8,168
187
50
1,703
187
187
28,892
1,121
64
43,451
27
187
0
58
23
2.689453
1
_arrays
64
43,451
13
1,121
64
34,383
13
1,121
64
43,451
13
187
50,273
412
64
28,626
0
58
24
2.689453
9
_arrays, op_vectors, op_arrays
64
43,451
13
1,121
64
34,383
13
1,121
64
43,451
13
187
50,273
412
64
28,626
0
58
25
2.689453
15
arbitrary records without sacrificing too much speed for small multi-dimensional arrays
10,341
187
46,622
1,293
18,501
272
1,512
1,199
3,885
323
1,355
4,471
14
6,967
187
43,451
0
58
26
2.689453
11
0] result = np.broadcast_arrays
17
62
187
50,266
6,870
426
15,749
15
31,876
4,008
64
43,451
9,672
43,824
6,904
4,663
0
58
27
2.689453
2
data_arrays
2,203
64
43,451
9
565
1,979
13
7,500
37,681
558
535
50,276
605
9,423
604
9,628
0
58
28
2.689453
13
{@link ProcessEngineConfiguration#getVariableTypes()}. Byte-arrays
18,073
4,492
12,639
19,217
11,909
4
788
23,807
15,668
1,082
7,165
24,128
14
43,451
285
187
0
58
29
2.689453
9
Configuration#getVariableTypes()}. Byte-arrays
11,909
4
788
23,807
15,668
1,082
7,165
24,128
14
43,451
285
187
50,275
11
18,073
4,492
0
58
30
2.689453
15
have a * variable value greater than the passed value. Byte-arrays
452
247
187
50,275
11
4,778
1,318
3,687
685
253
4,817
1,318
15
24,128
14
43,451
0
58
31
2.689453
13
the passed value when they ended. Booleans, Byte-arrays
253
4,817
1,318
672
597
7,402
15
3,452
1,306
507
13
24,128
14
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285
18,073
0
58
32
2.689453
11
value when they ended. Booleans, Byte-arrays
1,318
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597
7,402
15
3,452
1,306
507
13
24,128
14
43,451
285
18,073
4,492
28,255
0
58
33
2.689453
2
Byte-arrays
24,128
14
43,451
285
18,073
4,492
28,255
12,729
94
5,113
313
4,609
403
417
20,523
1,511
0
58
34
2.689453
3
, Byte-arrays
13
24,128
14
43,451
285
18,073
4,492
28,255
12,729
94
5,113
313
4,609
403
417
20,523
0
58
35
2.689453
8
List<JArray> jarrays
187
50,266
2,765
29
43
6,542
31
480
43,451
426
747
5,552
29
43
6,542
18,257
0
58
36
2.689453
13
&& parameterObject is IEnumerable) { jarrays
3,857
4,764
4,241
310
309
38,936
10
187
50,262
92
187
50,258
75
43,451
15
4,717
0
58
37
2.689453
10
if(jobjects.Count > 0 || jarrays
338
9
75
25,964
15
6,878
2,239
470
2,785
480
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15
6,878
2,239
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58
38
2.689453
4
), channel, jarrays
582
5,048
13
480
43,451
15
1,992
6,542
5,715
2,628
720
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15
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6,542
5,715
0
58
39
2.689453
2
L arrays
45
187
43,451
285
247
7,503
13,283
2,829
1,979
273
577
6,494
481
187
14,305
47
0
58
40
2.689453
9
-dimensional Judy::L arrays. These arrays
14
6,967
38,048
1,450
45
16,417
15
2,053
187
43,451
313
263
7,139
10
4,270
970
0
58
41
2.689453
11
.hackerrank.com/challenges/arrays
15
73
471
1,000
1,164
15
681
16
40,893
265
16
43,451
14
1,397
10
50,276
0
58
42
2.689453
14
aid.hackerrank.solutions.datastructures.arrays
13,774
15
73
471
1,000
1,164
15
84
17,009
15
8,608
505
38,124
15
43,451
28
0
58
43
2.689453
12
book(), ws = sheet_from_array_of_arrays
3,305
5,715
37,280
426
8,335
64
4,064
64
3,728
64
1,171
64
43,451
3,914
14,329
13
0
58
44
2.689453
3
_of_arrays
64
1,171
64
43,451
3,914
14,329
13
16,223
16,850
10
551
187
50,270
2,044
941
426
0
58
45
2.689453
6
are the zfs disk-arrays
403
253
1,182
3,671
7,592
14
43,451
326
513
417
452
1,227
3,620
16
8,593
15
0
58
46
2.689453
13
_ARRAYS(SortedMultiMap.class, "arrays
64
1,277
5,214
6,328
9
52
7,551
22,495
6,648
15
2,437
13
346
43,451
995
21,594
0
58
47
2.689453
6
zone and node // arrays
8,232
285
4,666
187
605
50,274
43,451
476
320
22,489
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15
187
605
187
605
0
58
48
2.689453
10
SWV and the mechanisms underlying disease development using microarrays
13,753
55
285
253
6,297
6,944
2,728
2,440
970
2,494
43,451
281
5,724
18,304
2,544
1,254
0
58
49
2.689453
15
the diffraction spikes, three separate masks were created on 87 x 87 sub-arrays
253
25,505
34,635
13
1,264
4,858
25,965
497
3,562
327
11,422
1,269
11,422
749
14
43,451
0
58
50
2.689453
1
microarrays
2,494
43,451
285
1,524
14
2,606
8,107
9,464
21,028
5,931
4,884
13
253
1,055
273
17,838
0
58
51
2.689453
5
Agilent Whole Genome Microarrays
3,419
39,141
31,373
36,921
12,761
43,451
313
8,903
39,141
434
15,594
17,148
443
20
27,319
21,430
0
58
52
2.689453
6
omics facility for performing the microarrays
19,177
9,509
323
9,591
253
2,494
43,451
13
399
15
18,312
91
432
659
15
16,543
0
58
53
2.689453
12
evice.ReadWrite) for i in qbytearrays
1,173
547
15
5,703
10,639
10
187
1,542
891
275
2,805
8,833
43,451
27
187
50,274
0
58
54
2.689453
14
undergo histopathological examination and analysis of the expression of integrin genes by oligonucleotide microarrays
15,080
46,346
8,368
285
1,783
273
253
2,048
273
38,481
3,608
407
46,383
2,494
43,451
2,975
0
58
55
2.689453
5
indices of the sub-arrays
14,452
273
253
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14
43,451
594
326
359
476
15,512
731
896
562
1,996
27
0
58
56
2.689453
14
will need wrapping or not. For complex types (arrays
588
878
31,705
390
417
15
187
50,274
187
50,274
2,214
2,570
3,510
313
43,451
13
0
58
57
2.689453
8
Name) { if (arrays
2,402
10
187
92
187
50,276
338
313
43,451
1,168
3,633
17,441
6,542
9
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2,402
0
58
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2.689453
10
the loading of the whole persons and families arrays
253
10,935
273
253
2,644
7,732
285
5,870
187
50,274
43,451
275
346
12,898
423
15
0
58
59
2.689453
6
pre-loading the arrays
638
14
23,333
253
187
50,274
43,451
346
4,843
1,727
3
285
346
20,313
1,868
3,446
0
58
60
2.689453
1
/arrays
16
43,451
5,618
187
2,948
551
2,794
16,850
748
432
686
36,371
5,618
187
2,948
475
0
58
61
2.689453
11
22 } from "./lib.es2017.typedarrays
1,423
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432
49,173
4,658
15
265
7,132
15
6,611
264
43,451
3,664
187
15,035
551
0
58
62
2.689453
15
eyewash (as 5. 5. 7. 6. 6. Microarrays
46,366
1,225
313
284
608
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608
15
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15
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43,451
0
58
63
2.689453
5
complex in the micro-arrays
2,570
275
253
2,494
14
43,451
15
831
5,853
369
8,523
4,158
281
2,736
4,502
9,588
0
59
0
2.292969
8
effectively creepy and unnerving movie. Sure
8,069
43,152
285
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79
26,368
6,440
15
15,594
352
457
84
247
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12,581
4,968
0
59
1
2.292969
15
to put it to work. Imagine that multiplied by millions of small businesses. Sure
281
1,691
352
281
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15
30,778
326
31,458
407
9,790
273
1,355
9,341
15
15,594
0
59
2
2.292969
8
, bodies, moods, etc. Sure
13
8,248
13
12,315
84
13
3,966
15
15,594
13
703
4,455
247
1,652
40,501
1,615
0
59
3
2.292969
9
the day and rescue Jessica from Kilgrave. Sure
253
1,388
285
14,471
29,489
432
27,334
45,283
15
15,594
13
247
4,564
273
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1,611
0
59
4
2.292969
11
a result of his role as the Winter Soldier. Sure
247
906
273
521
2,554
347
253
17,802
29,668
1,321
15
15,594
13
627
403
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0
59
5
2.292969
7
first group is making things up. Sure
806
1,387
310
2,403
1,841
598
15
15,594
13
597
497
271
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5,948
1,048
3,622
0
59
6
2.292969
15
day to do non-trivial things, along with Shell advanced scripting. Sure
1,388
281
513
1,327
14
26,551
1,841
13
2,112
342
28,707
7,269
6,001
272
15
15,594
0
59
7
2.292969
13
oenix.new is a sensible start for most web projects. Sure
80
17,473
15
1,826
310
247
24,600
1,265
323
954
4,384
6,493
15
15,594
13
368
0
59
8
2.292969
3
as well. Sure
347
973
15
15,594
13
253
2,898
310
247
1,652
19,456
13
533
352
2,722
368
0
59
9
2.292969
13
the very things that conservative have argued in favour of for generations. Sure
253
1,077
1,841
326
11,518
452
9,125
275
9,796
273
323
14,649
15
15,594
13
627
0
59
10
2.292969
8
the windsock will give the answer. Sure
253
19,362
825
588
1,918
253
3,662
15
15,594
2,217
13
352
457
84
26,530
4,951
0
59
11
2.292969
15
to keep the airplane’s longitudinal axis aligned with the runway centerline. Sure
281
1,978
253
33,667
457
84
14,854
7,844
15,616
342
253
39,486
4,055
1,282
15
15,594
0
59
12
2.292969
7
to the park for his friends. Sure
281
253
5,603
323
521
3,858
15
15,594
13
2,139
417
32
380
7,017
359
1,694
0
59
13
2.292969
12
legionaires,” or words to that effect. Yeah. Sure
1,791
279
21,296
1,806
390
3,000
281
326
1,055
15
11,739
15
15,594
15
187
187
0
59
14
2.292969
11
the end, is it worth $50,000? Sure
253
990
13
310
352
4,409
370
1,235
13
933
32
15,594
13
5,913
15
1,310
0
59
15
2.292969
10
see why, I don’t really agree. Sure
923
2,139
13
309
1,053
457
85
1,663
5,194
15
15,594
13
344
476
1,705
2,439
0
59
16
2.292969
7
be effective in what they do. Sure
320
3,576
275
752
597
513
15
15,594
13
2,378
368
452
17,755
247
7,731
368
0
59
17
2.292969
13
face from her because he was afraid that she would recognize him. Sure
2,454
432
617
984
344
369
9,202
326
703
651
9,446
779
15
15,594
2,217
703
0
59
18
2.292969
4
box 3. Sure
3,364
187
20
15
15,594
368
878
253
3,437
1,683
254
342
253
416
4,883
14
0
59
19
2.292969
11
this plane, I surprise have that this zoom door is Sure
436
6,415
13
309
9,326
452
326
436
21,282
3,369
310
15,594
625
14,053
15
17,097
0
59
20
2.292969
14
still 170 more pages to go, and there needs to be conflict. Sure
1,335
18,672
625
7,223
281
564
13
285
627
3,198
281
320
7,344
15
15,594
13
0
59
21
2.292969
2
oney. Sure
2,153
15
15,594
812
3,997
247
2,257
273
4,105
952
285
2,419
247
2,257
273
20,783
0
59
22
2.292969
7
t even yet gone to college. Sure
85
1,014
2,568
4,783
281
6,831
15
15,594
13
352
457
84
3,542
14,018
285
19,723
0
59
23
2.292969
0
Sure
15,594
11,342
46,854
281
7,335
333
634
496
4,534
8,623
8,942
10,118
401
4,317
187
187