File size: 42,216 Bytes
96acf43
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
---
pretty_name: Evaluation run of Kiddyz/testlm-1-1
dataset_summary: "Dataset automatically created during the evaluation run of model\
  \ [Kiddyz/testlm-1-1](https://huggingface.co/Kiddyz/testlm-1-1) on the [Open LLM\
  \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
  \nThe dataset is composed of 60 configuration, each one coresponding to one of the\
  \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\
  \ found as a specific split in each configuration, the split being named using the\
  \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
  \nAn additional configuration \"results\" store all the aggregated results of the\
  \ run (and is used to compute and display the agregated metrics on the [Open LLM\
  \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
  \nTo load the details from a run, you can for instance do the following:\n```python\n\
  from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_Kiddyz__testlm-1-1\"\
  ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\
  \nThese are the latest results from run 2023-08-16T10:49:10.911062\n\n```python\n\
  {\n    \"all\": {\n        \"acc\": 0.5128834307003443,\n        \"acc_stderr\"\
  : 0.03501260490290392,\n        \"acc_norm\": 0.5166256154161327,\n        \"acc_norm_stderr\"\
  : 0.03500071412093006,\n        \"mc1\": 0.32802937576499386,\n        \"mc1_stderr\"\
  : 0.01643563293281503,\n        \"mc2\": 0.48413168566081527,\n        \"mc2_stderr\"\
  : 0.015167638286466481\n    },\n    \"harness|arc:challenge|25\": {\n        \"\
  acc\": 0.5017064846416383,\n        \"acc_stderr\": 0.014611305705056992,\n    \
  \    \"acc_norm\": 0.5349829351535836,\n        \"acc_norm_stderr\": 0.014575583922019669\n\
  \    },\n    \"harness|hellaswag|10\": {\n        \"acc\": 0.5705038836885082,\n\
  \        \"acc_stderr\": 0.004939925958728884,\n        \"acc_norm\": 0.758016331408086,\n\
  \        \"acc_norm_stderr\": 0.004274091605308121\n    },\n    \"harness|hendrycksTest-abstract_algebra|5\"\
  : {\n        \"acc\": 0.25,\n        \"acc_stderr\": 0.04351941398892446,\n    \
  \    \"acc_norm\": 0.25,\n        \"acc_norm_stderr\": 0.04351941398892446\n   \
  \ },\n    \"harness|hendrycksTest-anatomy|5\": {\n        \"acc\": 0.4740740740740741,\n\
  \        \"acc_stderr\": 0.04313531696750573,\n        \"acc_norm\": 0.4740740740740741,\n\
  \        \"acc_norm_stderr\": 0.04313531696750573\n    },\n    \"harness|hendrycksTest-astronomy|5\"\
  : {\n        \"acc\": 0.5131578947368421,\n        \"acc_stderr\": 0.04067533136309174,\n\
  \        \"acc_norm\": 0.5131578947368421,\n        \"acc_norm_stderr\": 0.04067533136309174\n\
  \    },\n    \"harness|hendrycksTest-business_ethics|5\": {\n        \"acc\": 0.54,\n\
  \        \"acc_stderr\": 0.05009082659620332,\n        \"acc_norm\": 0.54,\n   \
  \     \"acc_norm_stderr\": 0.05009082659620332\n    },\n    \"harness|hendrycksTest-clinical_knowledge|5\"\
  : {\n        \"acc\": 0.5433962264150943,\n        \"acc_stderr\": 0.03065674869673943,\n\
  \        \"acc_norm\": 0.5433962264150943,\n        \"acc_norm_stderr\": 0.03065674869673943\n\
  \    },\n    \"harness|hendrycksTest-college_biology|5\": {\n        \"acc\": 0.5555555555555556,\n\
  \        \"acc_stderr\": 0.041553199555931467,\n        \"acc_norm\": 0.5555555555555556,\n\
  \        \"acc_norm_stderr\": 0.041553199555931467\n    },\n    \"harness|hendrycksTest-college_chemistry|5\"\
  : {\n        \"acc\": 0.39,\n        \"acc_stderr\": 0.04902071300001975,\n    \
  \    \"acc_norm\": 0.39,\n        \"acc_norm_stderr\": 0.04902071300001975\n   \
  \ },\n    \"harness|hendrycksTest-college_computer_science|5\": {\n        \"acc\"\
  : 0.45,\n        \"acc_stderr\": 0.05,\n        \"acc_norm\": 0.45,\n        \"\
  acc_norm_stderr\": 0.05\n    },\n    \"harness|hendrycksTest-college_mathematics|5\"\
  : {\n        \"acc\": 0.37,\n        \"acc_stderr\": 0.04852365870939099,\n    \
  \    \"acc_norm\": 0.37,\n        \"acc_norm_stderr\": 0.04852365870939099\n   \
  \ },\n    \"harness|hendrycksTest-college_medicine|5\": {\n        \"acc\": 0.4624277456647399,\n\
  \        \"acc_stderr\": 0.0380168510452446,\n        \"acc_norm\": 0.4624277456647399,\n\
  \        \"acc_norm_stderr\": 0.0380168510452446\n    },\n    \"harness|hendrycksTest-college_physics|5\"\
  : {\n        \"acc\": 0.20588235294117646,\n        \"acc_stderr\": 0.04023382273617747,\n\
  \        \"acc_norm\": 0.20588235294117646,\n        \"acc_norm_stderr\": 0.04023382273617747\n\
  \    },\n    \"harness|hendrycksTest-computer_security|5\": {\n        \"acc\":\
  \ 0.67,\n        \"acc_stderr\": 0.04725815626252609,\n        \"acc_norm\": 0.67,\n\
  \        \"acc_norm_stderr\": 0.04725815626252609\n    },\n    \"harness|hendrycksTest-conceptual_physics|5\"\
  : {\n        \"acc\": 0.42127659574468085,\n        \"acc_stderr\": 0.03227834510146267,\n\
  \        \"acc_norm\": 0.42127659574468085,\n        \"acc_norm_stderr\": 0.03227834510146267\n\
  \    },\n    \"harness|hendrycksTest-econometrics|5\": {\n        \"acc\": 0.2982456140350877,\n\
  \        \"acc_stderr\": 0.04303684033537314,\n        \"acc_norm\": 0.2982456140350877,\n\
  \        \"acc_norm_stderr\": 0.04303684033537314\n    },\n    \"harness|hendrycksTest-electrical_engineering|5\"\
  : {\n        \"acc\": 0.496551724137931,\n        \"acc_stderr\": 0.041665675771015785,\n\
  \        \"acc_norm\": 0.496551724137931,\n        \"acc_norm_stderr\": 0.041665675771015785\n\
  \    },\n    \"harness|hendrycksTest-elementary_mathematics|5\": {\n        \"acc\"\
  : 0.3333333333333333,\n        \"acc_stderr\": 0.0242785680243077,\n        \"acc_norm\"\
  : 0.3333333333333333,\n        \"acc_norm_stderr\": 0.0242785680243077\n    },\n\
  \    \"harness|hendrycksTest-formal_logic|5\": {\n        \"acc\": 0.31746031746031744,\n\
  \        \"acc_stderr\": 0.04163453031302859,\n        \"acc_norm\": 0.31746031746031744,\n\
  \        \"acc_norm_stderr\": 0.04163453031302859\n    },\n    \"harness|hendrycksTest-global_facts|5\"\
  : {\n        \"acc\": 0.35,\n        \"acc_stderr\": 0.047937248544110196,\n   \
  \     \"acc_norm\": 0.35,\n        \"acc_norm_stderr\": 0.047937248544110196\n \
  \   },\n    \"harness|hendrycksTest-high_school_biology|5\": {\n        \"acc\"\
  : 0.5903225806451613,\n        \"acc_stderr\": 0.027976054915347368,\n        \"\
  acc_norm\": 0.5903225806451613,\n        \"acc_norm_stderr\": 0.027976054915347368\n\
  \    },\n    \"harness|hendrycksTest-high_school_chemistry|5\": {\n        \"acc\"\
  : 0.35960591133004927,\n        \"acc_stderr\": 0.033764582465095665,\n        \"\
  acc_norm\": 0.35960591133004927,\n        \"acc_norm_stderr\": 0.033764582465095665\n\
  \    },\n    \"harness|hendrycksTest-high_school_computer_science|5\": {\n     \
  \   \"acc\": 0.48,\n        \"acc_stderr\": 0.050211673156867795,\n        \"acc_norm\"\
  : 0.48,\n        \"acc_norm_stderr\": 0.050211673156867795\n    },\n    \"harness|hendrycksTest-high_school_european_history|5\"\
  : {\n        \"acc\": 0.6484848484848484,\n        \"acc_stderr\": 0.037282069986826503,\n\
  \        \"acc_norm\": 0.6484848484848484,\n        \"acc_norm_stderr\": 0.037282069986826503\n\
  \    },\n    \"harness|hendrycksTest-high_school_geography|5\": {\n        \"acc\"\
  : 0.6262626262626263,\n        \"acc_stderr\": 0.03446897738659333,\n        \"\
  acc_norm\": 0.6262626262626263,\n        \"acc_norm_stderr\": 0.03446897738659333\n\
  \    },\n    \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
  \        \"acc\": 0.7202072538860104,\n        \"acc_stderr\": 0.03239637046735704,\n\
  \        \"acc_norm\": 0.7202072538860104,\n        \"acc_norm_stderr\": 0.03239637046735704\n\
  \    },\n    \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n       \
  \ \"acc\": 0.49743589743589745,\n        \"acc_stderr\": 0.025350672979412202,\n\
  \        \"acc_norm\": 0.49743589743589745,\n        \"acc_norm_stderr\": 0.025350672979412202\n\
  \    },\n    \"harness|hendrycksTest-high_school_mathematics|5\": {\n        \"\
  acc\": 0.26666666666666666,\n        \"acc_stderr\": 0.026962424325073838,\n   \
  \     \"acc_norm\": 0.26666666666666666,\n        \"acc_norm_stderr\": 0.026962424325073838\n\
  \    },\n    \"harness|hendrycksTest-high_school_microeconomics|5\": {\n       \
  \ \"acc\": 0.5210084033613446,\n        \"acc_stderr\": 0.03244980849990029,\n \
  \       \"acc_norm\": 0.5210084033613446,\n        \"acc_norm_stderr\": 0.03244980849990029\n\
  \    },\n    \"harness|hendrycksTest-high_school_physics|5\": {\n        \"acc\"\
  : 0.3576158940397351,\n        \"acc_stderr\": 0.03913453431177258,\n        \"\
  acc_norm\": 0.3576158940397351,\n        \"acc_norm_stderr\": 0.03913453431177258\n\
  \    },\n    \"harness|hendrycksTest-high_school_psychology|5\": {\n        \"acc\"\
  : 0.7119266055045872,\n        \"acc_stderr\": 0.01941644589263603,\n        \"\
  acc_norm\": 0.7119266055045872,\n        \"acc_norm_stderr\": 0.01941644589263603\n\
  \    },\n    \"harness|hendrycksTest-high_school_statistics|5\": {\n        \"acc\"\
  : 0.44907407407407407,\n        \"acc_stderr\": 0.03392238405321616,\n        \"\
  acc_norm\": 0.44907407407407407,\n        \"acc_norm_stderr\": 0.03392238405321616\n\
  \    },\n    \"harness|hendrycksTest-high_school_us_history|5\": {\n        \"acc\"\
  : 0.7156862745098039,\n        \"acc_stderr\": 0.03166009679399813,\n        \"\
  acc_norm\": 0.7156862745098039,\n        \"acc_norm_stderr\": 0.03166009679399813\n\
  \    },\n    \"harness|hendrycksTest-high_school_world_history|5\": {\n        \"\
  acc\": 0.7088607594936709,\n        \"acc_stderr\": 0.02957160106575337,\n     \
  \   \"acc_norm\": 0.7088607594936709,\n        \"acc_norm_stderr\": 0.02957160106575337\n\
  \    },\n    \"harness|hendrycksTest-human_aging|5\": {\n        \"acc\": 0.5919282511210763,\n\
  \        \"acc_stderr\": 0.03298574607842822,\n        \"acc_norm\": 0.5919282511210763,\n\
  \        \"acc_norm_stderr\": 0.03298574607842822\n    },\n    \"harness|hendrycksTest-human_sexuality|5\"\
  : {\n        \"acc\": 0.5801526717557252,\n        \"acc_stderr\": 0.04328577215262972,\n\
  \        \"acc_norm\": 0.5801526717557252,\n        \"acc_norm_stderr\": 0.04328577215262972\n\
  \    },\n    \"harness|hendrycksTest-international_law|5\": {\n        \"acc\":\
  \ 0.6528925619834711,\n        \"acc_stderr\": 0.043457245702925335,\n        \"\
  acc_norm\": 0.6528925619834711,\n        \"acc_norm_stderr\": 0.043457245702925335\n\
  \    },\n    \"harness|hendrycksTest-jurisprudence|5\": {\n        \"acc\": 0.5833333333333334,\n\
  \        \"acc_stderr\": 0.04766075165356461,\n        \"acc_norm\": 0.5833333333333334,\n\
  \        \"acc_norm_stderr\": 0.04766075165356461\n    },\n    \"harness|hendrycksTest-logical_fallacies|5\"\
  : {\n        \"acc\": 0.5705521472392638,\n        \"acc_stderr\": 0.03889066619112722,\n\
  \        \"acc_norm\": 0.5705521472392638,\n        \"acc_norm_stderr\": 0.03889066619112722\n\
  \    },\n    \"harness|hendrycksTest-machine_learning|5\": {\n        \"acc\": 0.2857142857142857,\n\
  \        \"acc_stderr\": 0.04287858751340456,\n        \"acc_norm\": 0.2857142857142857,\n\
  \        \"acc_norm_stderr\": 0.04287858751340456\n    },\n    \"harness|hendrycksTest-management|5\"\
  : {\n        \"acc\": 0.6796116504854369,\n        \"acc_stderr\": 0.04620284082280041,\n\
  \        \"acc_norm\": 0.6796116504854369,\n        \"acc_norm_stderr\": 0.04620284082280041\n\
  \    },\n    \"harness|hendrycksTest-marketing|5\": {\n        \"acc\": 0.7649572649572649,\n\
  \        \"acc_stderr\": 0.027778835904935434,\n        \"acc_norm\": 0.7649572649572649,\n\
  \        \"acc_norm_stderr\": 0.027778835904935434\n    },\n    \"harness|hendrycksTest-medical_genetics|5\"\
  : {\n        \"acc\": 0.52,\n        \"acc_stderr\": 0.050211673156867795,\n   \
  \     \"acc_norm\": 0.52,\n        \"acc_norm_stderr\": 0.050211673156867795\n \
  \   },\n    \"harness|hendrycksTest-miscellaneous|5\": {\n        \"acc\": 0.7088122605363985,\n\
  \        \"acc_stderr\": 0.0162460870697014,\n        \"acc_norm\": 0.7088122605363985,\n\
  \        \"acc_norm_stderr\": 0.0162460870697014\n    },\n    \"harness|hendrycksTest-moral_disputes|5\"\
  : {\n        \"acc\": 0.5173410404624278,\n        \"acc_stderr\": 0.026902900458666647,\n\
  \        \"acc_norm\": 0.5173410404624278,\n        \"acc_norm_stderr\": 0.026902900458666647\n\
  \    },\n    \"harness|hendrycksTest-moral_scenarios|5\": {\n        \"acc\": 0.29720670391061454,\n\
  \        \"acc_stderr\": 0.015285313353641602,\n        \"acc_norm\": 0.29720670391061454,\n\
  \        \"acc_norm_stderr\": 0.015285313353641602\n    },\n    \"harness|hendrycksTest-nutrition|5\"\
  : {\n        \"acc\": 0.5555555555555556,\n        \"acc_stderr\": 0.028452639985088006,\n\
  \        \"acc_norm\": 0.5555555555555556,\n        \"acc_norm_stderr\": 0.028452639985088006\n\
  \    },\n    \"harness|hendrycksTest-philosophy|5\": {\n        \"acc\": 0.6045016077170418,\n\
  \        \"acc_stderr\": 0.027770918531427838,\n        \"acc_norm\": 0.6045016077170418,\n\
  \        \"acc_norm_stderr\": 0.027770918531427838\n    },\n    \"harness|hendrycksTest-prehistory|5\"\
  : {\n        \"acc\": 0.5709876543209876,\n        \"acc_stderr\": 0.027538925613470863,\n\
  \        \"acc_norm\": 0.5709876543209876,\n        \"acc_norm_stderr\": 0.027538925613470863\n\
  \    },\n    \"harness|hendrycksTest-professional_accounting|5\": {\n        \"\
  acc\": 0.3971631205673759,\n        \"acc_stderr\": 0.0291898056735871,\n      \
  \  \"acc_norm\": 0.3971631205673759,\n        \"acc_norm_stderr\": 0.0291898056735871\n\
  \    },\n    \"harness|hendrycksTest-professional_law|5\": {\n        \"acc\": 0.3754889178617992,\n\
  \        \"acc_stderr\": 0.012367945396728208,\n        \"acc_norm\": 0.3754889178617992,\n\
  \        \"acc_norm_stderr\": 0.012367945396728208\n    },\n    \"harness|hendrycksTest-professional_medicine|5\"\
  : {\n        \"acc\": 0.4852941176470588,\n        \"acc_stderr\": 0.03035969707904611,\n\
  \        \"acc_norm\": 0.4852941176470588,\n        \"acc_norm_stderr\": 0.03035969707904611\n\
  \    },\n    \"harness|hendrycksTest-professional_psychology|5\": {\n        \"\
  acc\": 0.49836601307189543,\n        \"acc_stderr\": 0.020227726838150124,\n   \
  \     \"acc_norm\": 0.49836601307189543,\n        \"acc_norm_stderr\": 0.020227726838150124\n\
  \    },\n    \"harness|hendrycksTest-public_relations|5\": {\n        \"acc\": 0.6,\n\
  \        \"acc_stderr\": 0.0469237132203465,\n        \"acc_norm\": 0.6,\n     \
  \   \"acc_norm_stderr\": 0.0469237132203465\n    },\n    \"harness|hendrycksTest-security_studies|5\"\
  : {\n        \"acc\": 0.6081632653061224,\n        \"acc_stderr\": 0.031251275910891656,\n\
  \        \"acc_norm\": 0.6081632653061224,\n        \"acc_norm_stderr\": 0.031251275910891656\n\
  \    },\n    \"harness|hendrycksTest-sociology|5\": {\n        \"acc\": 0.6716417910447762,\n\
  \        \"acc_stderr\": 0.033206858897443244,\n        \"acc_norm\": 0.6716417910447762,\n\
  \        \"acc_norm_stderr\": 0.033206858897443244\n    },\n    \"harness|hendrycksTest-us_foreign_policy|5\"\
  : {\n        \"acc\": 0.71,\n        \"acc_stderr\": 0.045604802157206845,\n   \
  \     \"acc_norm\": 0.71,\n        \"acc_norm_stderr\": 0.045604802157206845\n \
  \   },\n    \"harness|hendrycksTest-virology|5\": {\n        \"acc\": 0.3795180722891566,\n\
  \        \"acc_stderr\": 0.03777798822748018,\n        \"acc_norm\": 0.3795180722891566,\n\
  \        \"acc_norm_stderr\": 0.03777798822748018\n    },\n    \"harness|hendrycksTest-world_religions|5\"\
  : {\n        \"acc\": 0.6842105263157895,\n        \"acc_stderr\": 0.03565079670708311,\n\
  \        \"acc_norm\": 0.6842105263157895,\n        \"acc_norm_stderr\": 0.03565079670708311\n\
  \    },\n    \"harness|truthfulqa:mc|0\": {\n        \"mc1\": 0.32802937576499386,\n\
  \        \"mc1_stderr\": 0.01643563293281503,\n        \"mc2\": 0.48413168566081527,\n\
  \        \"mc2_stderr\": 0.015167638286466481\n    }\n}\n```"
repo_url: https://huggingface.co/Kiddyz/testlm-1-1
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: clementine@hf.co
configs:
- config_name: harness_arc_challenge_25
  data_files: '**/details_harness|arc:challenge|25_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hellaswag_10
  data_files: '**/details_harness|hellaswag|10_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
  data_files: '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_anatomy_5
  data_files: '**/details_harness|hendrycksTest-anatomy|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_astronomy_5
  data_files: '**/details_harness|hendrycksTest-astronomy|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
  data_files: '**/details_harness|hendrycksTest-business_ethics|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
  data_files: '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_college_biology_5
  data_files: '**/details_harness|hendrycksTest-college_biology|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
  data_files: '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
  data_files: '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
  data_files: '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
  data_files: '**/details_harness|hendrycksTest-college_medicine|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_college_physics_5
  data_files: '**/details_harness|hendrycksTest-college_physics|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_computer_security_5
  data_files: '**/details_harness|hendrycksTest-computer_security|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
  data_files: '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_econometrics_5
  data_files: '**/details_harness|hendrycksTest-econometrics|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
  data_files: '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
  data_files: '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
  data_files: '**/details_harness|hendrycksTest-formal_logic|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_global_facts_5
  data_files: '**/details_harness|hendrycksTest-global_facts|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
  data_files: '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
  data_files: '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
  data_files: '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
  data_files: '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
  data_files: '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
  data_files: '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
  data_files: '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
  data_files: '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
  data_files: '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
  data_files: '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
  data_files: '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
  data_files: '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
  data_files: '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
  data_files: '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_human_aging_5
  data_files: '**/details_harness|hendrycksTest-human_aging|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
  data_files: '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_international_law_5
  data_files: '**/details_harness|hendrycksTest-international_law|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
  data_files: '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
  data_files: '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
  data_files: '**/details_harness|hendrycksTest-machine_learning|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_management_5
  data_files: '**/details_harness|hendrycksTest-management|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_marketing_5
  data_files: '**/details_harness|hendrycksTest-marketing|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
  data_files: '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
  data_files: '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
  data_files: '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
  data_files: '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_nutrition_5
  data_files: '**/details_harness|hendrycksTest-nutrition|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_philosophy_5
  data_files: '**/details_harness|hendrycksTest-philosophy|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_prehistory_5
  data_files: '**/details_harness|hendrycksTest-prehistory|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
  data_files: '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_professional_law_5
  data_files: '**/details_harness|hendrycksTest-professional_law|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
  data_files: '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
  data_files: '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_public_relations_5
  data_files: '**/details_harness|hendrycksTest-public_relations|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_security_studies_5
  data_files: '**/details_harness|hendrycksTest-security_studies|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_sociology_5
  data_files: '**/details_harness|hendrycksTest-sociology|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
  data_files: '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_virology_5
  data_files: '**/details_harness|hendrycksTest-virology|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_hendrycksTest_world_religions_5
  data_files: '**/details_harness|hendrycksTest-world_religions|5_2023-08-16T10:49:10.911062.parquet'
- config_name: harness_truthfulqa_mc_0
  data_files: '**/details_harness|truthfulqa:mc|0_2023-08-16T10:49:10.911062.parquet'
- config_name: results
  data_files: '**/results_2023-08-16T10:49:10.911062.json'
---

# Dataset Card for Evaluation run of Kiddyz/testlm-1-1

## Dataset Description

- **Homepage:** 
- **Repository:** https://huggingface.co/Kiddyz/testlm-1-1
- **Paper:** 
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co

### Dataset Summary

Dataset automatically created during the evaluation run of model [Kiddyz/testlm-1-1](https://huggingface.co/Kiddyz/testlm-1-1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).

The dataset is composed of 60 configuration, each one coresponding to one of the evaluated task.

The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.

An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).

To load the details from a run, you can for instance do the following:
```python
from datasets import load_dataset
data = load_dataset("open-llm-leaderboard/details_Kiddyz__testlm-1-1",
	"harness_truthfulqa_mc_0",
	split="train")
```

## Latest results

These are the latest results from run 2023-08-16T10:49:10.911062

```python
{
    "all": {
        "acc": 0.5128834307003443,
        "acc_stderr": 0.03501260490290392,
        "acc_norm": 0.5166256154161327,
        "acc_norm_stderr": 0.03500071412093006,
        "mc1": 0.32802937576499386,
        "mc1_stderr": 0.01643563293281503,
        "mc2": 0.48413168566081527,
        "mc2_stderr": 0.015167638286466481
    },
    "harness|arc:challenge|25": {
        "acc": 0.5017064846416383,
        "acc_stderr": 0.014611305705056992,
        "acc_norm": 0.5349829351535836,
        "acc_norm_stderr": 0.014575583922019669
    },
    "harness|hellaswag|10": {
        "acc": 0.5705038836885082,
        "acc_stderr": 0.004939925958728884,
        "acc_norm": 0.758016331408086,
        "acc_norm_stderr": 0.004274091605308121
    },
    "harness|hendrycksTest-abstract_algebra|5": {
        "acc": 0.25,
        "acc_stderr": 0.04351941398892446,
        "acc_norm": 0.25,
        "acc_norm_stderr": 0.04351941398892446
    },
    "harness|hendrycksTest-anatomy|5": {
        "acc": 0.4740740740740741,
        "acc_stderr": 0.04313531696750573,
        "acc_norm": 0.4740740740740741,
        "acc_norm_stderr": 0.04313531696750573
    },
    "harness|hendrycksTest-astronomy|5": {
        "acc": 0.5131578947368421,
        "acc_stderr": 0.04067533136309174,
        "acc_norm": 0.5131578947368421,
        "acc_norm_stderr": 0.04067533136309174
    },
    "harness|hendrycksTest-business_ethics|5": {
        "acc": 0.54,
        "acc_stderr": 0.05009082659620332,
        "acc_norm": 0.54,
        "acc_norm_stderr": 0.05009082659620332
    },
    "harness|hendrycksTest-clinical_knowledge|5": {
        "acc": 0.5433962264150943,
        "acc_stderr": 0.03065674869673943,
        "acc_norm": 0.5433962264150943,
        "acc_norm_stderr": 0.03065674869673943
    },
    "harness|hendrycksTest-college_biology|5": {
        "acc": 0.5555555555555556,
        "acc_stderr": 0.041553199555931467,
        "acc_norm": 0.5555555555555556,
        "acc_norm_stderr": 0.041553199555931467
    },
    "harness|hendrycksTest-college_chemistry|5": {
        "acc": 0.39,
        "acc_stderr": 0.04902071300001975,
        "acc_norm": 0.39,
        "acc_norm_stderr": 0.04902071300001975
    },
    "harness|hendrycksTest-college_computer_science|5": {
        "acc": 0.45,
        "acc_stderr": 0.05,
        "acc_norm": 0.45,
        "acc_norm_stderr": 0.05
    },
    "harness|hendrycksTest-college_mathematics|5": {
        "acc": 0.37,
        "acc_stderr": 0.04852365870939099,
        "acc_norm": 0.37,
        "acc_norm_stderr": 0.04852365870939099
    },
    "harness|hendrycksTest-college_medicine|5": {
        "acc": 0.4624277456647399,
        "acc_stderr": 0.0380168510452446,
        "acc_norm": 0.4624277456647399,
        "acc_norm_stderr": 0.0380168510452446
    },
    "harness|hendrycksTest-college_physics|5": {
        "acc": 0.20588235294117646,
        "acc_stderr": 0.04023382273617747,
        "acc_norm": 0.20588235294117646,
        "acc_norm_stderr": 0.04023382273617747
    },
    "harness|hendrycksTest-computer_security|5": {
        "acc": 0.67,
        "acc_stderr": 0.04725815626252609,
        "acc_norm": 0.67,
        "acc_norm_stderr": 0.04725815626252609
    },
    "harness|hendrycksTest-conceptual_physics|5": {
        "acc": 0.42127659574468085,
        "acc_stderr": 0.03227834510146267,
        "acc_norm": 0.42127659574468085,
        "acc_norm_stderr": 0.03227834510146267
    },
    "harness|hendrycksTest-econometrics|5": {
        "acc": 0.2982456140350877,
        "acc_stderr": 0.04303684033537314,
        "acc_norm": 0.2982456140350877,
        "acc_norm_stderr": 0.04303684033537314
    },
    "harness|hendrycksTest-electrical_engineering|5": {
        "acc": 0.496551724137931,
        "acc_stderr": 0.041665675771015785,
        "acc_norm": 0.496551724137931,
        "acc_norm_stderr": 0.041665675771015785
    },
    "harness|hendrycksTest-elementary_mathematics|5": {
        "acc": 0.3333333333333333,
        "acc_stderr": 0.0242785680243077,
        "acc_norm": 0.3333333333333333,
        "acc_norm_stderr": 0.0242785680243077
    },
    "harness|hendrycksTest-formal_logic|5": {
        "acc": 0.31746031746031744,
        "acc_stderr": 0.04163453031302859,
        "acc_norm": 0.31746031746031744,
        "acc_norm_stderr": 0.04163453031302859
    },
    "harness|hendrycksTest-global_facts|5": {
        "acc": 0.35,
        "acc_stderr": 0.047937248544110196,
        "acc_norm": 0.35,
        "acc_norm_stderr": 0.047937248544110196
    },
    "harness|hendrycksTest-high_school_biology|5": {
        "acc": 0.5903225806451613,
        "acc_stderr": 0.027976054915347368,
        "acc_norm": 0.5903225806451613,
        "acc_norm_stderr": 0.027976054915347368
    },
    "harness|hendrycksTest-high_school_chemistry|5": {
        "acc": 0.35960591133004927,
        "acc_stderr": 0.033764582465095665,
        "acc_norm": 0.35960591133004927,
        "acc_norm_stderr": 0.033764582465095665
    },
    "harness|hendrycksTest-high_school_computer_science|5": {
        "acc": 0.48,
        "acc_stderr": 0.050211673156867795,
        "acc_norm": 0.48,
        "acc_norm_stderr": 0.050211673156867795
    },
    "harness|hendrycksTest-high_school_european_history|5": {
        "acc": 0.6484848484848484,
        "acc_stderr": 0.037282069986826503,
        "acc_norm": 0.6484848484848484,
        "acc_norm_stderr": 0.037282069986826503
    },
    "harness|hendrycksTest-high_school_geography|5": {
        "acc": 0.6262626262626263,
        "acc_stderr": 0.03446897738659333,
        "acc_norm": 0.6262626262626263,
        "acc_norm_stderr": 0.03446897738659333
    },
    "harness|hendrycksTest-high_school_government_and_politics|5": {
        "acc": 0.7202072538860104,
        "acc_stderr": 0.03239637046735704,
        "acc_norm": 0.7202072538860104,
        "acc_norm_stderr": 0.03239637046735704
    },
    "harness|hendrycksTest-high_school_macroeconomics|5": {
        "acc": 0.49743589743589745,
        "acc_stderr": 0.025350672979412202,
        "acc_norm": 0.49743589743589745,
        "acc_norm_stderr": 0.025350672979412202
    },
    "harness|hendrycksTest-high_school_mathematics|5": {
        "acc": 0.26666666666666666,
        "acc_stderr": 0.026962424325073838,
        "acc_norm": 0.26666666666666666,
        "acc_norm_stderr": 0.026962424325073838
    },
    "harness|hendrycksTest-high_school_microeconomics|5": {
        "acc": 0.5210084033613446,
        "acc_stderr": 0.03244980849990029,
        "acc_norm": 0.5210084033613446,
        "acc_norm_stderr": 0.03244980849990029
    },
    "harness|hendrycksTest-high_school_physics|5": {
        "acc": 0.3576158940397351,
        "acc_stderr": 0.03913453431177258,
        "acc_norm": 0.3576158940397351,
        "acc_norm_stderr": 0.03913453431177258
    },
    "harness|hendrycksTest-high_school_psychology|5": {
        "acc": 0.7119266055045872,
        "acc_stderr": 0.01941644589263603,
        "acc_norm": 0.7119266055045872,
        "acc_norm_stderr": 0.01941644589263603
    },
    "harness|hendrycksTest-high_school_statistics|5": {
        "acc": 0.44907407407407407,
        "acc_stderr": 0.03392238405321616,
        "acc_norm": 0.44907407407407407,
        "acc_norm_stderr": 0.03392238405321616
    },
    "harness|hendrycksTest-high_school_us_history|5": {
        "acc": 0.7156862745098039,
        "acc_stderr": 0.03166009679399813,
        "acc_norm": 0.7156862745098039,
        "acc_norm_stderr": 0.03166009679399813
    },
    "harness|hendrycksTest-high_school_world_history|5": {
        "acc": 0.7088607594936709,
        "acc_stderr": 0.02957160106575337,
        "acc_norm": 0.7088607594936709,
        "acc_norm_stderr": 0.02957160106575337
    },
    "harness|hendrycksTest-human_aging|5": {
        "acc": 0.5919282511210763,
        "acc_stderr": 0.03298574607842822,
        "acc_norm": 0.5919282511210763,
        "acc_norm_stderr": 0.03298574607842822
    },
    "harness|hendrycksTest-human_sexuality|5": {
        "acc": 0.5801526717557252,
        "acc_stderr": 0.04328577215262972,
        "acc_norm": 0.5801526717557252,
        "acc_norm_stderr": 0.04328577215262972
    },
    "harness|hendrycksTest-international_law|5": {
        "acc": 0.6528925619834711,
        "acc_stderr": 0.043457245702925335,
        "acc_norm": 0.6528925619834711,
        "acc_norm_stderr": 0.043457245702925335
    },
    "harness|hendrycksTest-jurisprudence|5": {
        "acc": 0.5833333333333334,
        "acc_stderr": 0.04766075165356461,
        "acc_norm": 0.5833333333333334,
        "acc_norm_stderr": 0.04766075165356461
    },
    "harness|hendrycksTest-logical_fallacies|5": {
        "acc": 0.5705521472392638,
        "acc_stderr": 0.03889066619112722,
        "acc_norm": 0.5705521472392638,
        "acc_norm_stderr": 0.03889066619112722
    },
    "harness|hendrycksTest-machine_learning|5": {
        "acc": 0.2857142857142857,
        "acc_stderr": 0.04287858751340456,
        "acc_norm": 0.2857142857142857,
        "acc_norm_stderr": 0.04287858751340456
    },
    "harness|hendrycksTest-management|5": {
        "acc": 0.6796116504854369,
        "acc_stderr": 0.04620284082280041,
        "acc_norm": 0.6796116504854369,
        "acc_norm_stderr": 0.04620284082280041
    },
    "harness|hendrycksTest-marketing|5": {
        "acc": 0.7649572649572649,
        "acc_stderr": 0.027778835904935434,
        "acc_norm": 0.7649572649572649,
        "acc_norm_stderr": 0.027778835904935434
    },
    "harness|hendrycksTest-medical_genetics|5": {
        "acc": 0.52,
        "acc_stderr": 0.050211673156867795,
        "acc_norm": 0.52,
        "acc_norm_stderr": 0.050211673156867795
    },
    "harness|hendrycksTest-miscellaneous|5": {
        "acc": 0.7088122605363985,
        "acc_stderr": 0.0162460870697014,
        "acc_norm": 0.7088122605363985,
        "acc_norm_stderr": 0.0162460870697014
    },
    "harness|hendrycksTest-moral_disputes|5": {
        "acc": 0.5173410404624278,
        "acc_stderr": 0.026902900458666647,
        "acc_norm": 0.5173410404624278,
        "acc_norm_stderr": 0.026902900458666647
    },
    "harness|hendrycksTest-moral_scenarios|5": {
        "acc": 0.29720670391061454,
        "acc_stderr": 0.015285313353641602,
        "acc_norm": 0.29720670391061454,
        "acc_norm_stderr": 0.015285313353641602
    },
    "harness|hendrycksTest-nutrition|5": {
        "acc": 0.5555555555555556,
        "acc_stderr": 0.028452639985088006,
        "acc_norm": 0.5555555555555556,
        "acc_norm_stderr": 0.028452639985088006
    },
    "harness|hendrycksTest-philosophy|5": {
        "acc": 0.6045016077170418,
        "acc_stderr": 0.027770918531427838,
        "acc_norm": 0.6045016077170418,
        "acc_norm_stderr": 0.027770918531427838
    },
    "harness|hendrycksTest-prehistory|5": {
        "acc": 0.5709876543209876,
        "acc_stderr": 0.027538925613470863,
        "acc_norm": 0.5709876543209876,
        "acc_norm_stderr": 0.027538925613470863
    },
    "harness|hendrycksTest-professional_accounting|5": {
        "acc": 0.3971631205673759,
        "acc_stderr": 0.0291898056735871,
        "acc_norm": 0.3971631205673759,
        "acc_norm_stderr": 0.0291898056735871
    },
    "harness|hendrycksTest-professional_law|5": {
        "acc": 0.3754889178617992,
        "acc_stderr": 0.012367945396728208,
        "acc_norm": 0.3754889178617992,
        "acc_norm_stderr": 0.012367945396728208
    },
    "harness|hendrycksTest-professional_medicine|5": {
        "acc": 0.4852941176470588,
        "acc_stderr": 0.03035969707904611,
        "acc_norm": 0.4852941176470588,
        "acc_norm_stderr": 0.03035969707904611
    },
    "harness|hendrycksTest-professional_psychology|5": {
        "acc": 0.49836601307189543,
        "acc_stderr": 0.020227726838150124,
        "acc_norm": 0.49836601307189543,
        "acc_norm_stderr": 0.020227726838150124
    },
    "harness|hendrycksTest-public_relations|5": {
        "acc": 0.6,
        "acc_stderr": 0.0469237132203465,
        "acc_norm": 0.6,
        "acc_norm_stderr": 0.0469237132203465
    },
    "harness|hendrycksTest-security_studies|5": {
        "acc": 0.6081632653061224,
        "acc_stderr": 0.031251275910891656,
        "acc_norm": 0.6081632653061224,
        "acc_norm_stderr": 0.031251275910891656
    },
    "harness|hendrycksTest-sociology|5": {
        "acc": 0.6716417910447762,
        "acc_stderr": 0.033206858897443244,
        "acc_norm": 0.6716417910447762,
        "acc_norm_stderr": 0.033206858897443244
    },
    "harness|hendrycksTest-us_foreign_policy|5": {
        "acc": 0.71,
        "acc_stderr": 0.045604802157206845,
        "acc_norm": 0.71,
        "acc_norm_stderr": 0.045604802157206845
    },
    "harness|hendrycksTest-virology|5": {
        "acc": 0.3795180722891566,
        "acc_stderr": 0.03777798822748018,
        "acc_norm": 0.3795180722891566,
        "acc_norm_stderr": 0.03777798822748018
    },
    "harness|hendrycksTest-world_religions|5": {
        "acc": 0.6842105263157895,
        "acc_stderr": 0.03565079670708311,
        "acc_norm": 0.6842105263157895,
        "acc_norm_stderr": 0.03565079670708311
    },
    "harness|truthfulqa:mc|0": {
        "mc1": 0.32802937576499386,
        "mc1_stderr": 0.01643563293281503,
        "mc2": 0.48413168566081527,
        "mc2_stderr": 0.015167638286466481
    }
}
```

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

[More Information Needed]

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

[More Information Needed]

### Data Splits

[More Information Needed]

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

[More Information Needed]

### Citation Information

[More Information Needed]

### Contributions

[More Information Needed]