experiment_id
stringlengths 24
40
| timestamp
stringdate 2025-07-02 16:22:36
2025-07-13 19:52:27
| QWK_mean
float64 -0.02
0.73
| QWK_lower_95ci
float64 -0.18
0.65
| QWK_upper_95ci
float64 0
0.8
| QWK_ci_width
float64 0.02
0.36
| Macro_F1_mean
float64 0.01
0.54
| Macro_F1_lower_95ci
float64 0
0.41
| Macro_F1_upper_95ci
float64 0.03
0.69
| Macro_F1_ci_width
float64 0.03
0.34
| Weighted_F1_mean
float64 0.01
0.71
| Weighted_F1_lower_95ci
float64 0
0.64
| Weighted_F1_upper_95ci
float64 0.04
0.79
| Weighted_F1_ci_width
float64 0.04
0.19
|
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
deepseekR1-extractor-C1-essay_only | 2025-07-12 17:02:43 | 0.209351 | 0.152702 | 0.271559 | 0.118857 | 0.073698 | 0.027179 | 0.138043 | 0.110864 | 0.118019 | 0.056455 | 0.18582 | 0.129365 |
deepseekR1-extractor-C1-full_context | 2025-07-07 18:40:41 | 0.203631 | 0.150645 | 0.260275 | 0.10963 | 0.035821 | 0.012124 | 0.063458 | 0.051335 | 0.081571 | 0.026396 | 0.140775 | 0.114379 |
deepseekR1-extractor-C2-essay_only | 2025-07-12 16:35:21 | -0.006785 | -0.018003 | 0 | 0.018003 | 0.008812 | 0 | 0.029412 | 0.029412 | 0.013357 | 0 | 0.040514 | 0.040514 |
deepseekR1-extractor-C2-full_context | 2025-07-07 20:03:32 | 0.509527 | 0.388567 | 0.626522 | 0.237954 | 0.280853 | 0.194454 | 0.378835 | 0.18438 | 0.317532 | 0.232485 | 0.406958 | 0.174473 |
deepseekR1-extractor-C3-essay_only | 2025-07-12 16:37:32 | 0.40255 | 0.270722 | 0.527015 | 0.256293 | 0.269066 | 0.189393 | 0.365101 | 0.175707 | 0.320445 | 0.241027 | 0.401966 | 0.160938 |
deepseekR1-extractor-C3-full_context | 2025-07-07 20:04:11 | 0.523303 | 0.403791 | 0.63688 | 0.233089 | 0.311444 | 0.235496 | 0.395476 | 0.159981 | 0.400644 | 0.312494 | 0.489793 | 0.177299 |
deepseekR1-extractor-C4-essay_only | 2025-07-12 16:38:25 | 0.522768 | 0.416149 | 0.623351 | 0.207202 | 0.322383 | 0.231229 | 0.458069 | 0.22684 | 0.527456 | 0.442384 | 0.609317 | 0.166933 |
deepseekR1-extractor-C4-full_context | 2025-07-07 20:06:05 | 0.554011 | 0.4484 | 0.656195 | 0.207795 | 0.356864 | 0.261054 | 0.504145 | 0.243091 | 0.594183 | 0.512058 | 0.674638 | 0.16258 |
deepseekR1-extractor-C5-essay_only | 2025-07-12 16:38:58 | 0.61679 | 0.485715 | 0.732221 | 0.246506 | 0.351035 | 0.284708 | 0.42372 | 0.139012 | 0.384874 | 0.303705 | 0.470424 | 0.166719 |
deepseekR1-extractor-C5-full_context | 2025-07-07 20:07:37 | 0.609653 | 0.477622 | 0.730416 | 0.252794 | 0.37274 | 0.301336 | 0.449657 | 0.148321 | 0.420262 | 0.333588 | 0.508638 | 0.17505 |
deepseekR1-graderPrompt-C1-essay_only | 2025-07-06 20:26:40 | 0.434618 | 0.359427 | 0.508414 | 0.148987 | 0.166932 | 0.103251 | 0.237233 | 0.133983 | 0.246672 | 0.169314 | 0.326685 | 0.157371 |
deepseekR1-graderPrompt-C1-full_context | 2025-07-07 16:09:48 | 0.197863 | 0.140291 | 0.260192 | 0.119901 | 0.062116 | 0.007168 | 0.123852 | 0.116684 | 0.056172 | 0.011528 | 0.107451 | 0.095924 |
deepseekR1-graderPrompt-C2-essay_only | 2025-07-06 20:27:15 | 0.027554 | -0.013327 | 0.077402 | 0.090729 | 0.040308 | 0.009259 | 0.077779 | 0.06852 | 0.049792 | 0.011341 | 0.098204 | 0.086863 |
deepseekR1-graderPrompt-C2-full_context | 2025-07-07 16:17:08 | 0.509293 | 0.387464 | 0.628761 | 0.241297 | 0.352038 | 0.250045 | 0.466033 | 0.215989 | 0.403061 | 0.312929 | 0.497424 | 0.184495 |
deepseekR1-graderPrompt-C3-essay_only | 2025-07-06 17:56:36 | 0.394328 | 0.231578 | 0.542244 | 0.310667 | 0.191494 | 0.126222 | 0.269015 | 0.142793 | 0.1849 | 0.115087 | 0.261116 | 0.146029 |
deepseekR1-graderPrompt-C3-full_context | 2025-07-07 16:19:14 | 0.597372 | 0.494788 | 0.690635 | 0.195846 | 0.302907 | 0.211493 | 0.40702 | 0.195526 | 0.293414 | 0.215609 | 0.374622 | 0.159013 |
deepseekR1-graderPrompt-C4-essay_only | 2025-07-06 20:05:43 | 0.469268 | 0.373094 | 0.559701 | 0.186607 | 0.193161 | 0.124205 | 0.279167 | 0.154962 | 0.244824 | 0.162085 | 0.328494 | 0.166408 |
deepseekR1-graderPrompt-C4-full_context | 2025-07-07 17:20:31 | 0.545922 | 0.445069 | 0.635732 | 0.190664 | 0.285013 | 0.198738 | 0.41191 | 0.213172 | 0.457133 | 0.371398 | 0.542173 | 0.170774 |
deepseekR1-graderPrompt-C5-essay_only | 2025-07-06 20:28:03 | 0.544601 | 0.401032 | 0.676342 | 0.27531 | 0.315089 | 0.244738 | 0.389671 | 0.144933 | 0.331148 | 0.24863 | 0.416993 | 0.168362 |
deepseekR1-graderPrompt-C5-full_context | 2025-07-07 17:21:00 | 0.598254 | 0.463199 | 0.719351 | 0.256152 | 0.352051 | 0.281462 | 0.425115 | 0.143653 | 0.367529 | 0.283743 | 0.45508 | 0.171337 |
deepseekR1-studentPrompt-C1-essay_only | 2025-07-03 09:22:09 | 0.352942 | 0.274941 | 0.434 | 0.15906 | 0.105429 | 0.05367 | 0.174068 | 0.120398 | 0.166191 | 0.096223 | 0.238932 | 0.142709 |
deepseekR1-studentPrompt-C1-full_context | 2025-07-03 16:24:10 | 0.34962 | 0.271367 | 0.430037 | 0.158669 | 0.04023 | 0.01621 | 0.069621 | 0.05341 | 0.062805 | 0.017323 | 0.11489 | 0.097567 |
deepseekR1-studentPrompt-C2-essay_only | 2025-07-03 14:02:04 | -0.015135 | -0.142015 | 0.111807 | 0.253822 | 0.150509 | 0.101576 | 0.204074 | 0.102498 | 0.249474 | 0.171988 | 0.330911 | 0.158923 |
deepseekR1-studentPrompt-C2-full_context | 2025-07-03 17:00:47 | 0.412831 | 0.296246 | 0.534128 | 0.237882 | 0.289373 | 0.190045 | 0.40303 | 0.212985 | 0.346967 | 0.263441 | 0.436091 | 0.17265 |
deepseekR1-studentPrompt-C3-essay_only | 2025-07-03 14:31:45 | 0.37844 | 0.225276 | 0.525133 | 0.299857 | 0.312066 | 0.225263 | 0.414725 | 0.189463 | 0.328925 | 0.246608 | 0.413702 | 0.167094 |
deepseekR1-studentPrompt-C3-full_context | 2025-07-03 17:23:09 | 0.731369 | 0.65346 | 0.801847 | 0.148387 | 0.442468 | 0.328542 | 0.568559 | 0.240017 | 0.463881 | 0.377711 | 0.550819 | 0.173108 |
deepseekR1-studentPrompt-C4-essay_only | 2025-07-03 14:57:27 | 0.512334 | 0.41037 | 0.605204 | 0.194834 | 0.259829 | 0.15293 | 0.396042 | 0.243112 | 0.391074 | 0.305302 | 0.47633 | 0.171027 |
deepseekR1-studentPrompt-C4-full_context | 2025-07-03 17:53:15 | 0.487963 | 0.392807 | 0.575584 | 0.182777 | 0.212001 | 0.130873 | 0.321468 | 0.190595 | 0.365566 | 0.278011 | 0.451401 | 0.17339 |
deepseekR1-studentPrompt-C5-essay_only | 2025-07-03 15:54:55 | 0.546427 | 0.405724 | 0.66979 | 0.264066 | 0.368031 | 0.303247 | 0.435409 | 0.132162 | 0.424998 | 0.344891 | 0.508003 | 0.163112 |
deepseekR1-studentPrompt-C5-full_context | 2025-07-03 18:16:40 | 0.577327 | 0.44977 | 0.689443 | 0.239673 | 0.380118 | 0.292246 | 0.479712 | 0.187466 | 0.402973 | 0.320522 | 0.488827 | 0.168305 |
gpt4o-extractor-C1-essay_only | 2025-07-12 16:48:41 | 0.55214 | 0.448592 | 0.648166 | 0.199574 | 0.24814 | 0.178791 | 0.332685 | 0.153893 | 0.507466 | 0.418109 | 0.596671 | 0.178562 |
gpt4o-extractor-C1-full_context | 2025-07-08 18:14:05 | 0.532489 | 0.414581 | 0.638235 | 0.223654 | 0.240059 | 0.1834 | 0.314803 | 0.131403 | 0.536392 | 0.444065 | 0.628009 | 0.183944 |
gpt4o-extractor-C2-essay_only | 2025-07-12 16:55:44 | 0.15167 | 0.059012 | 0.25104 | 0.192029 | 0.109823 | 0.069444 | 0.15 | 0.080556 | 0.132257 | 0.077902 | 0.194643 | 0.11674 |
gpt4o-extractor-C2-full_context | 2025-07-08 18:28:50 | 0.468039 | 0.324865 | 0.599903 | 0.275038 | 0.351355 | 0.242995 | 0.469007 | 0.226012 | 0.406643 | 0.321863 | 0.491689 | 0.169825 |
gpt4o-extractor-C3-essay_only | 2025-07-12 17:10:00 | 0.3896 | 0.259233 | 0.513636 | 0.254403 | 0.226147 | 0.159386 | 0.307048 | 0.147662 | 0.263029 | 0.185438 | 0.343249 | 0.157811 |
gpt4o-extractor-C3-full_context | 2025-07-08 18:39:44 | 0.566602 | 0.460849 | 0.660963 | 0.200113 | 0.278159 | 0.189297 | 0.379797 | 0.1905 | 0.283096 | 0.204622 | 0.364732 | 0.16011 |
gpt4o-extractor-C4-essay_only | 2025-07-12 18:32:10 | 0.555282 | 0.45804 | 0.642972 | 0.184932 | 0.324086 | 0.191975 | 0.472998 | 0.281023 | 0.477282 | 0.391841 | 0.560673 | 0.168832 |
gpt4o-extractor-C4-full_context | 2025-07-08 19:48:00 | 0.498419 | 0.374655 | 0.61244 | 0.237785 | 0.273296 | 0.181892 | 0.393677 | 0.211785 | 0.449578 | 0.36449 | 0.533509 | 0.169019 |
gpt4o-extractor-C5-essay_only | 2025-07-12 20:51:22 | 0.511676 | 0.394287 | 0.621172 | 0.226885 | 0.257995 | 0.194166 | 0.325312 | 0.131146 | 0.280697 | 0.197006 | 0.369131 | 0.172125 |
gpt4o-extractor-C5-full_context | 2025-07-08 20:03:10 | 0.313465 | 0.204435 | 0.426137 | 0.221702 | 0.145355 | 0.088357 | 0.205098 | 0.116741 | 0.149547 | 0.085716 | 0.218217 | 0.132501 |
gpt4o-graderPrompt-C1-essay_only | 2025-07-05 13:15:28 | 0.486818 | 0.403469 | 0.563902 | 0.160433 | 0.202346 | 0.153061 | 0.268481 | 0.11542 | 0.447993 | 0.362833 | 0.533338 | 0.170505 |
gpt4o-graderPrompt-C1-full_context | 2025-07-04 20:43:40 | 0.551747 | 0.468579 | 0.628587 | 0.160008 | 0.241746 | 0.189019 | 0.307983 | 0.118964 | 0.517145 | 0.431006 | 0.601245 | 0.170239 |
gpt4o-graderPrompt-C2-essay_only | 2025-07-05 14:24:26 | 0.2862 | 0.146462 | 0.421916 | 0.275453 | 0.191928 | 0.114135 | 0.285897 | 0.171761 | 0.193831 | 0.129605 | 0.266957 | 0.137352 |
gpt4o-graderPrompt-C2-full_context | 2025-07-04 22:40:28 | 0.561229 | 0.430049 | 0.676145 | 0.246096 | 0.332516 | 0.237947 | 0.44247 | 0.204523 | 0.41479 | 0.33204 | 0.496612 | 0.164572 |
gpt4o-graderPrompt-C3-essay_only | 2025-07-05 15:45:52 | 0.280682 | 0.149067 | 0.405839 | 0.256772 | 0.195299 | 0.143374 | 0.258866 | 0.115492 | 0.262933 | 0.189621 | 0.342814 | 0.153193 |
gpt4o-graderPrompt-C3-full_context | 2025-07-04 13:48:12 | 0.446617 | 0.324366 | 0.559217 | 0.234851 | 0.277068 | 0.187599 | 0.390709 | 0.203109 | 0.318318 | 0.234631 | 0.4055 | 0.170869 |
gpt4o-graderPrompt-C4-essay_only | 2025-07-06 11:04:30 | 0.506273 | 0.400191 | 0.604108 | 0.203917 | 0.263468 | 0.16357 | 0.390701 | 0.227131 | 0.38759 | 0.300173 | 0.473525 | 0.173352 |
gpt4o-graderPrompt-C4-full_context | 2025-07-04 16:26:47 | 0.495843 | 0.388643 | 0.595636 | 0.206993 | 0.2514 | 0.187037 | 0.332987 | 0.145949 | 0.473328 | 0.386846 | 0.558852 | 0.172006 |
gpt4o-graderPrompt-C5-essay_only | 2025-07-06 12:29:03 | 0.537318 | 0.405312 | 0.657019 | 0.251707 | 0.318118 | 0.249704 | 0.390217 | 0.140513 | 0.338711 | 0.258039 | 0.421964 | 0.163925 |
gpt4o-graderPrompt-C5-full_context | 2025-07-04 18:40:54 | 0.476655 | 0.329458 | 0.607847 | 0.278389 | 0.241198 | 0.173018 | 0.310234 | 0.137216 | 0.256459 | 0.179857 | 0.334705 | 0.154847 |
gpt4o-studentPrompt-C1-essay_only | 2025-07-02 20:39:39 | 0.506397 | 0.428054 | 0.58201 | 0.153956 | 0.210895 | 0.15086 | 0.291544 | 0.140683 | 0.42341 | 0.339496 | 0.508298 | 0.168802 |
gpt4o-studentPrompt-C1-full_context | 2025-07-02 19:00:34 | 0.47683 | 0.390949 | 0.559451 | 0.168502 | 0.196242 | 0.14996 | 0.25463 | 0.10467 | 0.419723 | 0.335495 | 0.505734 | 0.170239 |
gpt4o-studentPrompt-C2-essay_only | 2025-07-02 20:45:57 | 0.198056 | 0.046053 | 0.344268 | 0.298215 | 0.173529 | 0.122902 | 0.2273 | 0.104399 | 0.256167 | 0.179037 | 0.336531 | 0.157494 |
gpt4o-studentPrompt-C2-full_context | 2025-07-02 19:10:24 | 0.508004 | 0.375653 | 0.630869 | 0.255216 | 0.36889 | 0.245936 | 0.499318 | 0.253382 | 0.411025 | 0.325555 | 0.498479 | 0.172924 |
gpt4o-studentPrompt-C3-essay_only | 2025-07-02 20:55:50 | 0.380633 | 0.236651 | 0.513166 | 0.276515 | 0.252477 | 0.180517 | 0.339722 | 0.159205 | 0.28817 | 0.211961 | 0.367765 | 0.155803 |
gpt4o-studentPrompt-C3-full_context | 2025-07-02 19:44:08 | 0.52835 | 0.420452 | 0.626877 | 0.206425 | 0.269259 | 0.190012 | 0.364445 | 0.174434 | 0.290777 | 0.216373 | 0.369539 | 0.153166 |
gpt4o-studentPrompt-C4-essay_only | 2025-07-02 21:01:59 | 0.501785 | 0.397452 | 0.597475 | 0.200024 | 0.282983 | 0.172809 | 0.423468 | 0.250659 | 0.394036 | 0.3087 | 0.47933 | 0.17063 |
gpt4o-studentPrompt-C4-full_context | 2025-07-02 20:02:02 | 0.487214 | 0.383258 | 0.581965 | 0.198707 | 0.249826 | 0.159072 | 0.369117 | 0.210045 | 0.368031 | 0.281662 | 0.453577 | 0.171915 |
gpt4o-studentPrompt-C5-essay_only | 2025-07-02 21:08:07 | 0.545693 | 0.407985 | 0.669047 | 0.261062 | 0.288993 | 0.230132 | 0.34844 | 0.118308 | 0.298881 | 0.222811 | 0.377071 | 0.154261 |
gpt4o-studentPrompt-C5-full_context | 2025-07-02 20:20:08 | 0.350409 | 0.203217 | 0.491803 | 0.288586 | 0.167195 | 0.105 | 0.23315 | 0.128151 | 0.184273 | 0.115149 | 0.258199 | 0.14305 |
sabia3-extractor-C1-essay_only | 2025-07-12 17:27:53 | 0.291208 | 0.207885 | 0.37299 | 0.165104 | 0.092288 | 0.07173 | 0.116201 | 0.044471 | 0.247957 | 0.172272 | 0.330419 | 0.158147 |
sabia3-extractor-C1-full_context | 2025-07-07 22:01:32 | 0.304755 | 0.217547 | 0.390067 | 0.17252 | 0.096384 | 0.076023 | 0.12067 | 0.044647 | 0.258937 | 0.182054 | 0.341615 | 0.159561 |
sabia3-extractor-C2-essay_only | 2025-07-12 17:33:30 | 0.182462 | 0.082607 | 0.291159 | 0.208553 | 0.124873 | 0.079965 | 0.180029 | 0.100064 | 0.171587 | 0.104286 | 0.244765 | 0.140479 |
sabia3-extractor-C2-full_context | 2025-07-07 22:14:45 | 0.280757 | 0.180466 | 0.382493 | 0.202027 | 0.157077 | 0.106251 | 0.22042 | 0.114169 | 0.214961 | 0.144549 | 0.292703 | 0.148154 |
sabia3-extractor-C3-essay_only | 2025-07-12 17:49:57 | 0.096026 | -0.053441 | 0.237023 | 0.290463 | 0.112049 | 0.075472 | 0.164782 | 0.089311 | 0.175814 | 0.111422 | 0.251406 | 0.139984 |
sabia3-extractor-C3-full_context | 2025-07-07 22:28:30 | 0.206973 | 0.093521 | 0.331213 | 0.237692 | 0.198838 | 0.137426 | 0.272304 | 0.134878 | 0.271849 | 0.190197 | 0.360781 | 0.170584 |
sabia3-extractor-C4-essay_only | 2025-07-12 17:59:03 | 0.450934 | 0.356767 | 0.541609 | 0.184842 | 0.181373 | 0.132788 | 0.245081 | 0.112293 | 0.359594 | 0.269237 | 0.452876 | 0.183639 |
sabia3-extractor-C4-full_context | 2025-07-07 22:40:08 | 0.37654 | 0.28479 | 0.465239 | 0.180449 | 0.181976 | 0.128224 | 0.247577 | 0.119354 | 0.38086 | 0.294061 | 0.465784 | 0.171723 |
sabia3-extractor-C5-essay_only | 2025-07-12 18:13:40 | 0.517948 | 0.409153 | 0.619466 | 0.210313 | 0.209433 | 0.1562 | 0.264906 | 0.108706 | 0.213869 | 0.13953 | 0.293032 | 0.153502 |
sabia3-extractor-C5-full_context | 2025-07-07 22:54:06 | 0.513153 | 0.393469 | 0.624437 | 0.230967 | 0.22241 | 0.162857 | 0.283898 | 0.121041 | 0.232108 | 0.154432 | 0.313746 | 0.159314 |
sabia3-graderPrompt-C1-essay_only | 2025-07-03 23:08:46 | 0.528345 | 0.44564 | 0.605968 | 0.160328 | 0.225955 | 0.159316 | 0.315421 | 0.156105 | 0.416431 | 0.333256 | 0.498828 | 0.165572 |
sabia3-graderPrompt-C1-full_context | 2025-07-03 22:19:05 | 0.491944 | 0.397628 | 0.583029 | 0.1854 | 0.241562 | 0.171422 | 0.334763 | 0.163341 | 0.499965 | 0.406676 | 0.593495 | 0.186819 |
sabia3-graderPrompt-C2-essay_only | 2025-07-03 23:19:55 | 0.062134 | 0.002887 | 0.125043 | 0.122157 | 0.091099 | 0.050793 | 0.139806 | 0.089012 | 0.113061 | 0.060145 | 0.175615 | 0.11547 |
sabia3-graderPrompt-C2-full_context | 2025-07-03 22:31:08 | 0.490769 | 0.351343 | 0.619418 | 0.268075 | 0.353172 | 0.239638 | 0.48288 | 0.243243 | 0.413558 | 0.332019 | 0.497849 | 0.16583 |
sabia3-graderPrompt-C3-essay_only | 2025-07-03 23:34:59 | 0.342793 | 0.207332 | 0.479556 | 0.272224 | 0.268702 | 0.198773 | 0.35443 | 0.155657 | 0.324683 | 0.246363 | 0.407526 | 0.161163 |
sabia3-graderPrompt-C3-full_context | 2025-07-03 22:40:30 | 0.536806 | 0.418769 | 0.647112 | 0.228343 | 0.350784 | 0.229309 | 0.477053 | 0.247744 | 0.366273 | 0.285793 | 0.450174 | 0.164381 |
sabia3-graderPrompt-C4-essay_only | 2025-07-03 23:42:25 | 0.549092 | 0.442165 | 0.647635 | 0.205469 | 0.226596 | 0.144854 | 0.337186 | 0.192332 | 0.435547 | 0.345292 | 0.527585 | 0.182294 |
sabia3-graderPrompt-C4-full_context | 2025-07-03 22:49:50 | 0.520675 | 0.392764 | 0.63655 | 0.243786 | 0.302656 | 0.196487 | 0.453034 | 0.256547 | 0.493925 | 0.405939 | 0.577895 | 0.171956 |
sabia3-graderPrompt-C5-essay_only | 2025-07-03 23:01:37 | 0.586556 | 0.46683 | 0.695064 | 0.228234 | 0.329751 | 0.255119 | 0.409897 | 0.154778 | 0.373507 | 0.289471 | 0.459248 | 0.169777 |
sabia3-graderPrompt-C5-full_context | 2025-07-03 23:25:56 | 0.495216 | 0.343867 | 0.629809 | 0.285943 | 0.280272 | 0.20425 | 0.36498 | 0.160729 | 0.313828 | 0.235886 | 0.395116 | 0.15923 |
sabia3-studentPrompt-C1-essay_only | 2025-07-02 16:22:36 | 0.682147 | 0.608886 | 0.751245 | 0.142359 | 0.342301 | 0.256527 | 0.454288 | 0.197761 | 0.661092 | 0.57606 | 0.743429 | 0.167368 |
sabia3-studentPrompt-C1-full_context | 2025-07-02 16:52:00 | 0.569401 | 0.467414 | 0.661294 | 0.19388 | 0.352943 | 0.259278 | 0.495014 | 0.235736 | 0.602494 | 0.514942 | 0.689404 | 0.174462 |
sabia3-studentPrompt-C2-essay_only | 2025-07-02 16:31:52 | 0.017495 | -0.027916 | 0.061057 | 0.088973 | 0.08113 | 0.047361 | 0.120398 | 0.073036 | 0.108266 | 0.057109 | 0.168806 | 0.111697 |
sabia3-studentPrompt-C2-full_context | 2025-07-02 17:35:43 | 0.457102 | 0.306763 | 0.599163 | 0.2924 | 0.30045 | 0.202901 | 0.414613 | 0.211712 | 0.405199 | 0.320274 | 0.491296 | 0.171022 |
sabia3-studentPrompt-C3-essay_only | 2025-07-02 16:36:17 | 0.297733 | 0.157077 | 0.432848 | 0.275771 | 0.231119 | 0.163338 | 0.314154 | 0.150816 | 0.296969 | 0.219874 | 0.380344 | 0.160469 |
sabia3-studentPrompt-C3-full_context | 2025-07-02 17:43:28 | 0.444717 | 0.321332 | 0.560666 | 0.239334 | 0.216985 | 0.119933 | 0.331203 | 0.21127 | 0.221206 | 0.152801 | 0.297826 | 0.145025 |
sabia3-studentPrompt-C4-essay_only | 2025-07-02 16:40:55 | 0.513149 | 0.393273 | 0.620001 | 0.226728 | 0.297009 | 0.192674 | 0.431201 | 0.238527 | 0.52544 | 0.43472 | 0.616301 | 0.181581 |
sabia3-studentPrompt-C4-full_context | 2025-07-02 18:38:18 | 0.378248 | 0.228395 | 0.522666 | 0.294271 | 0.260389 | 0.153998 | 0.416174 | 0.262176 | 0.430667 | 0.337674 | 0.526845 | 0.189171 |
sabia3-studentPrompt-C5-essay_only | 2025-07-02 16:45:09 | 0.508153 | 0.371864 | 0.634879 | 0.263015 | 0.295867 | 0.231361 | 0.363003 | 0.131642 | 0.342712 | 0.261568 | 0.426253 | 0.164685 |
sabia3-studentPrompt-C5-full_context | 2025-07-02 18:45:35 | 0.531842 | 0.398501 | 0.650086 | 0.251585 | 0.266948 | 0.191805 | 0.34588 | 0.154075 | 0.281492 | 0.202269 | 0.361378 | 0.159109 |
bertimbau-base-C1-essay-only | 2025-07-10 00:30:49 | 0.595817 | 0.505021 | 0.683753 | 0.178732 | 0.403426 | 0.29995 | 0.536631 | 0.236681 | 0.519488 | 0.433162 | 0.604936 | 0.171774 |
bertimbau-base-C2-essay-only | 2025-07-10 00:33:24 | 0.344581 | 0.192373 | 0.486874 | 0.294501 | 0.262824 | 0.183705 | 0.361564 | 0.177858 | 0.348546 | 0.269448 | 0.429412 | 0.159964 |
bertimbau-base-C3-essay-only | 2025-07-10 00:36:03 | 0.346933 | 0.19906 | 0.485247 | 0.286186 | 0.231182 | 0.16413 | 0.314344 | 0.150214 | 0.267866 | 0.194021 | 0.34536 | 0.151339 |
bertimbau-base-C4-essay-only | 2025-07-10 00:38:42 | 0.54353 | 0.418459 | 0.655103 | 0.236644 | 0.364211 | 0.254026 | 0.523088 | 0.269062 | 0.551477 | 0.465078 | 0.635873 | 0.170795 |
bertimbau-base-C5-essay-only | 2025-07-10 00:41:22 | 0.625724 | 0.509004 | 0.726598 | 0.217594 | 0.304069 | 0.244058 | 0.380961 | 0.136903 | 0.359026 | 0.27462 | 0.448098 | 0.173478 |
bertugues-base-C1-essay-only | 2025-07-10 00:57:41 | 0.611824 | 0.515556 | 0.702611 | 0.187055 | 0.41828 | 0.316585 | 0.55268 | 0.236095 | 0.562701 | 0.479198 | 0.64382 | 0.164623 |
bertugues-base-C2-essay-only | 2025-07-10 01:00:19 | 0.331229 | 0.189326 | 0.463457 | 0.27413 | 0.145332 | 0.097168 | 0.200973 | 0.103805 | 0.177288 | 0.115544 | 0.24642 | 0.130876 |
bertugues-base-C3-essay-only | 2025-07-10 01:02:55 | 0.285621 | 0.121738 | 0.441574 | 0.319836 | 0.259462 | 0.193951 | 0.33962 | 0.145669 | 0.348192 | 0.266887 | 0.433309 | 0.166422 |
bertugues-base-C4-essay-only | 2025-07-10 01:05:32 | 0.537129 | 0.42138 | 0.637865 | 0.216485 | 0.330898 | 0.228278 | 0.477904 | 0.249626 | 0.506746 | 0.421907 | 0.589635 | 0.167728 |
bertugues-base-C5-essay-only | 2025-07-10 01:08:11 | 0.35607 | 0.222957 | 0.48624 | 0.263283 | 0.234775 | 0.165799 | 0.310327 | 0.144527 | 0.269546 | 0.193231 | 0.34948 | 0.156249 |
JBCS 2025: Experimental Artefacts for AES in Brazilian Portuguese
This repository contains all experimental artefacts (logs, configurations, predictions, and evaluation results) described in the paper:
Exploring the Usage of LLMs for Automatic Essay Scoring in Brazilian Portuguese Essays
AndrΓ© Barbosa, Igor Cataneo Silveira, Denis Deratani MauΓ‘
TODO
π¦ What's in this dataset repo?
This dataset is not a training dataset. Instead, it provides comprehensive logs and outputs from experiments evaluating different language models for Automatic Essay Scoring (AES) tasks in Brazilian Portuguese.
Specifically, it contains:
- π JSONL files: raw predictions from each evaluated model.
- π CSV files: detailed performance metrics (Quadratic Weighted Kappa, F1-score, etc.).
- βοΈ YAML files: complete Hydra configurations for reproducibility.
- π Log files: logs detailing each evaluation run.
π Related Collection
All models and datasets related to this work are available in the Hugging Face collection:
π Evaluated Models
The table below lists all models trained and evaluated for each essay competence (C1 to C5), along with direct links to their Hugging Face repository pages:
Model | Architecture | Training Type | Link |
---|---|---|---|
mbert_base-C1 | Encoder-only | Fine-tuned | mbert_base-C1 |
mbert_base-C2 | Encoder-only | Fine-tuned | mbert_base-C2 |
mbert_base-C3 | Encoder-only | Fine-tuned | mbert_base-C3 |
mbert_base-C4 | Encoder-only | Fine-tuned | mbert_base-C4 |
mbert_base-C5 | Encoder-only | Fine-tuned | mbert_base-C5 |
bertimbau_base-C1 | Encoder-only | Fine-tuned | bertimbau_base-C1 |
bertimbau_base-C2 | Encoder-only | Fine-tuned | bertimbau_base-C2 |
bertimbau_base-C3 | Encoder-only | Fine-tuned | bertimbau_base-C3 |
bertimbau_base-C4 | Encoder-only | Fine-tuned | bertimbau_base-C4 |
bertimbau_base-C5 | Encoder-only | Fine-tuned | bertimbau_base-C5 |
bertimbau_large-C1 | Encoder-only | Fine-tuned | bertimbau_large-C1 |
bertimbau_large-C2 | Encoder-only | Fine-tuned | bertimbau_large-C2 |
bertimbau_large-C3 | Encoder-only | Fine-tuned | bertimbau_large-C3 |
bertimbau_large-C4 | Encoder-only | Fine-tuned | bertimbau_large-C4 |
bertimbau_large-C5 | Encoder-only | Fine-tuned | bertimbau_large-C5 |
llama3-8b-C1 | Decoder-only | LoRA | llama3-8b-C1 |
llama3-8b-C2 | Decoder-only | LoRA | llama3-8b-C2 |
llama3-8b-C3 | Decoder-only | LoRA | llama3-8b-C3 |
llama3-8b-C4 | Decoder-only | LoRA | llama3-8b-C4 |
llama3-8b-C5 | Decoder-only | LoRA | llama3-8b-C5 |
phi3.5-C1 | Decoder-only | LoRA | phi3.5-C1 |
phi3.5-C2 | Decoder-only | LoRA | phi3.5-C2 |
phi3.5-C3 | Decoder-only | LoRA | phi3.5-C3 |
phi3.5-C4 | Decoder-only | LoRA | phi3.5-C4 |
phi3.5-C5 | Decoder-only | LoRA | phi3.5-C5 |
phi4-C1 | Decoder-only | LoRA | phi4-C1 |
phi4-C2 | Decoder-only | LoRA | phi4-C2 |
phi4-C3 | Decoder-only | LoRA | phi4-C3 |
phi4-C4 | Decoder-only | LoRA | phi4-C4 |
phi4-C5 | Decoder-only | LoRA | phi4-C5 |
π§ Additionally, API-only models (e.g., DeepSeek-R1, ChatGPT-4o, SabiΓ‘-3) were evaluated but are not hosted on the Hub. Their predictions and logs are still included in this dataset.
π§ͺ How to Use this Dataset
You can easily load the data using Hugging Face datasets library:
from datasets import load_dataset
ds = load_dataset("kamel-usp/jbcs2025_experiments", split="runs")
π License and Citation
This work is licensed under the Creative Commons Attribution 4.0 International License (CC-BY-4.0).
If you use these artefacts, please cite our paper:
TODO
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