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id int64 1 200 | cohort int64 1 48 | cognitive_performance_gap float64 0.11 0.98 | stress_burden float64 0 0.88 | health_constraint float64 0.12 0.8 | learning_access_gap float64 0.07 0.76 | task_complexity_match float64 0.09 0.93 | wage_progression_dispersion float64 0.15 0.71 | supportive_investment float64 0.03 0.91 | neurowage_index float64 0.23 0.72 |
|---|---|---|---|---|---|---|---|---|---|
1 | 35 | 0.594012 | 0.616801 | 0.632184 | 0.646315 | 0.653238 | 0.656164 | 0.403449 | 0.58961 |
2 | 37 | 0.330544 | 0.506074 | 0.337568 | 0.246591 | 0.599645 | 0.192537 | 0.518242 | 0.352037 |
3 | 18 | 0.537175 | 0.478664 | 0.463604 | 0.306969 | 0.462829 | 0.379773 | 0.756939 | 0.433836 |
4 | 5 | 0.902187 | 0.627812 | 0.41356 | 0.653756 | 0.209366 | 0.624093 | 0.465698 | 0.665991 |
5 | 47 | 0.64047 | 0.366785 | 0.117175 | 0.328383 | 0.386822 | 0.410756 | 0.854854 | 0.39476 |
6 | 39 | 0.35177 | 0.267244 | 0.596297 | 0.396834 | 0.487438 | 0.350501 | 0.170797 | 0.445649 |
7 | 13 | 0.8221 | 0.509345 | 0.614148 | 0.591312 | 0.666899 | 0.603636 | 0.436682 | 0.595493 |
8 | 27 | 0.676298 | 0.501917 | 0.49122 | 0.505793 | 0.185974 | 0.38655 | 0.131088 | 0.59384 |
9 | 6 | 0.719859 | 0.451554 | 0.543675 | 0.515665 | 0.315241 | 0.562818 | 0.240812 | 0.601412 |
10 | 16 | 0.749231 | 0.371779 | 0.538367 | 0.453578 | 0.261588 | 0.38226 | 0.525422 | 0.537787 |
11 | 1 | 0.734258 | 0.540629 | 0.358028 | 0.434128 | 0.689274 | 0.339291 | 0.197591 | 0.509283 |
12 | 10 | 0.901622 | 0.68443 | 0.407844 | 0.468526 | 0.581766 | 0.673957 | 0.749961 | 0.582071 |
13 | 17 | 0.316866 | 0.487807 | 0.571543 | 0.405697 | 0.804452 | 0.394568 | 0.213396 | 0.435602 |
14 | 20 | 0.582377 | 0.473778 | 0.592944 | 0.51287 | 0.439152 | 0.464179 | 0.063149 | 0.573066 |
15 | 21 | 0.536485 | 0.503847 | 0.529793 | 0.258659 | 0.597441 | 0.402366 | 0.656774 | 0.437257 |
16 | 30 | 0.466785 | 0.248793 | 0.328227 | 0.408197 | 0.262645 | 0.211481 | 0.501354 | 0.404218 |
17 | 2 | 0.499165 | 0.585885 | 0.216395 | 0.479006 | 0.826215 | 0.488306 | 0.554725 | 0.424675 |
18 | 42 | 0.860914 | 0.505241 | 0.37393 | 0.485445 | 0.403657 | 0.453526 | 0.407169 | 0.567672 |
19 | 10 | 0.440471 | 0.299786 | 0.229625 | 0.176846 | 0.547729 | 0.254233 | 0.362944 | 0.346537 |
20 | 39 | 0.766777 | 0.517612 | 0.281114 | 0.379643 | 0.642197 | 0.473456 | 0.288946 | 0.509005 |
21 | 15 | 0.660861 | 0.561325 | 0.545794 | 0.371988 | 0.58534 | 0.472522 | 0.426551 | 0.523731 |
22 | 46 | 0.608445 | 0.521541 | 0.558104 | 0.424079 | 0.300593 | 0.433589 | 0.187997 | 0.568473 |
23 | 12 | 0.741127 | 0.76064 | 0.763966 | 0.416034 | 0.429311 | 0.539943 | 0.450877 | 0.634115 |
24 | 18 | 0.805443 | 0.575896 | 0.505467 | 0.320395 | 0.299345 | 0.635935 | 0.761205 | 0.565842 |
25 | 15 | 0.715509 | 0.591648 | 0.572593 | 0.537942 | 0.547368 | 0.591664 | 0.508977 | 0.579491 |
26 | 41 | 0.427649 | 0.507789 | 0.25681 | 0.349122 | 0.379221 | 0.373604 | 0.475038 | 0.430901 |
27 | 34 | 0.33927 | 0.265629 | 0.151164 | 0.382219 | 0.740048 | 0.317533 | 0.643337 | 0.296344 |
28 | 18 | 0.741166 | 0.601997 | 0.405874 | 0.546424 | 0.728018 | 0.426903 | 0.513032 | 0.518976 |
29 | 29 | 0.354438 | 0.457886 | 0.65901 | 0.350653 | 0.338119 | 0.422342 | 0.762448 | 0.447811 |
30 | 20 | 0.817387 | 0.417788 | 0.44887 | 0.531067 | 0.817669 | 0.54557 | 0.863746 | 0.4794 |
31 | 24 | 0.555492 | 0.572734 | 0.430678 | 0.394765 | 0.277525 | 0.502091 | 0.194698 | 0.555818 |
32 | 28 | 0.590027 | 0.433268 | 0.302439 | 0.263576 | 0.440164 | 0.394921 | 0.906276 | 0.398412 |
33 | 20 | 0.611989 | 0.602862 | 0.436033 | 0.51836 | 0.607379 | 0.451907 | 0.510227 | 0.51183 |
34 | 41 | 0.731073 | 0.344103 | 0.419797 | 0.55681 | 0.508769 | 0.550975 | 0.273898 | 0.546691 |
35 | 48 | 0.498822 | 0.459299 | 0.429385 | 0.55829 | 0.378521 | 0.223136 | 0.251648 | 0.492179 |
36 | 20 | 0.61313 | 0.691562 | 0.433852 | 0.44705 | 0.415443 | 0.64189 | 0.418994 | 0.574714 |
37 | 38 | 0.831145 | 0.386385 | 0.648202 | 0.624684 | 0.173246 | 0.646998 | 0.256168 | 0.670428 |
38 | 46 | 0.528764 | 0.570611 | 0.736633 | 0.400797 | 0.691757 | 0.407917 | 0.4688 | 0.503508 |
39 | 34 | 0.560872 | 0.593676 | 0.621799 | 0.418276 | 0.561696 | 0.553076 | 0.740588 | 0.508741 |
40 | 26 | 0.69014 | 0.681816 | 0.564627 | 0.516036 | 0.666988 | 0.5146 | 0.528225 | 0.557594 |
41 | 26 | 0.634564 | 0.592947 | 0.402533 | 0.247933 | 0.386707 | 0.560753 | 0.593523 | 0.505598 |
42 | 11 | 0.567242 | 0.495671 | 0.310971 | 0.411547 | 0.580815 | 0.387038 | 0.377264 | 0.460669 |
43 | 8 | 0.666603 | 0.507277 | 0.630804 | 0.358157 | 0.371448 | 0.392225 | 0.688296 | 0.514448 |
44 | 11 | 0.904812 | 0.731814 | 0.397548 | 0.488037 | 0.229253 | 0.518437 | 0.355631 | 0.651542 |
45 | 46 | 0.880394 | 0.537639 | 0.35906 | 0.595893 | 0.433079 | 0.553574 | 0.218168 | 0.619509 |
46 | 25 | 0.543007 | 0.303983 | 0.218256 | 0.324236 | 0.86243 | 0.338071 | 0.277855 | 0.36924 |
47 | 12 | 0.338625 | 0.355653 | 0.489894 | 0.380397 | 0.308677 | 0.261182 | 0.203178 | 0.445677 |
48 | 17 | 0.848521 | 0.712309 | 0.571194 | 0.491847 | 0.131915 | 0.597366 | 0.362207 | 0.68408 |
49 | 36 | 0.788257 | 0.527742 | 0.594006 | 0.459817 | 0.799053 | 0.403884 | 0.2288 | 0.547403 |
50 | 17 | 0.701301 | 0.588329 | 0.473352 | 0.495076 | 0.533807 | 0.545944 | 0.327006 | 0.569647 |
51 | 10 | 0.632726 | 0.67501 | 0.367289 | 0.447203 | 0.418726 | 0.380461 | 0.224594 | 0.549134 |
52 | 48 | 0.472031 | 0.393562 | 0.664192 | 0.551275 | 0.706547 | 0.43745 | 0.55632 | 0.468367 |
53 | 48 | 0.681513 | 0.391166 | 0.181026 | 0.591131 | 0.364685 | 0.287944 | 0.576778 | 0.465863 |
54 | 30 | 0.541183 | 0.474773 | 0.284574 | 0.389248 | 0.34082 | 0.365563 | 0.60228 | 0.448588 |
55 | 30 | 0.629415 | 0.629071 | 0.466024 | 0.515972 | 0.228136 | 0.498078 | 0.249397 | 0.601429 |
56 | 13 | 0.567761 | 0.461293 | 0.45281 | 0.219208 | 0.551497 | 0.44027 | 0.224155 | 0.474484 |
57 | 17 | 0.895994 | 0.397042 | 0.449684 | 0.456766 | 0.773966 | 0.59932 | 0.560431 | 0.524614 |
58 | 46 | 0.591711 | 0.43328 | 0.471668 | 0.341881 | 0.471013 | 0.338579 | 0.303475 | 0.482096 |
59 | 8 | 0.695518 | 0.498538 | 0.38779 | 0.554183 | 0.565483 | 0.461487 | 0.412313 | 0.526265 |
60 | 20 | 0.572815 | 0.29302 | 0.529689 | 0.250321 | 0.758619 | 0.436678 | 0.392118 | 0.421536 |
61 | 12 | 0.348878 | 0.236977 | 0.346405 | 0.316265 | 0.208438 | 0.344736 | 0.824753 | 0.361241 |
62 | 41 | 0.457542 | 0.636147 | 0.558411 | 0.572522 | 0.508193 | 0.428977 | 0.708419 | 0.499854 |
63 | 19 | 0.331791 | 0 | 0.119205 | 0.294875 | 0.844248 | 0.356367 | 0.566987 | 0.236212 |
64 | 29 | 0.755495 | 0.727538 | 0.397219 | 0.432844 | 0.257974 | 0.710503 | 0.547476 | 0.61748 |
65 | 18 | 0.791055 | 0.365166 | 0.364713 | 0.347312 | 0.523223 | 0.605669 | 0.79014 | 0.479314 |
66 | 41 | 0.629083 | 0.388456 | 0.559469 | 0.314283 | 0.445171 | 0.358747 | 0.471804 | 0.479919 |
67 | 19 | 0.386914 | 0.566909 | 0.462753 | 0.338803 | 0.595584 | 0.472524 | 0.291744 | 0.465815 |
68 | 22 | 0.369625 | 0.381759 | 0.376789 | 0.311796 | 0.44317 | 0.186216 | 0.478466 | 0.376452 |
69 | 19 | 0.596868 | 0.515144 | 0.802106 | 0.585228 | 0.617548 | 0.328448 | 0.389297 | 0.548971 |
70 | 13 | 0.855926 | 0.630118 | 0.378823 | 0.442372 | 0.18188 | 0.569739 | 0.500416 | 0.614868 |
71 | 25 | 0.936745 | 0.702643 | 0.341504 | 0.518874 | 0.333361 | 0.659514 | 0.683842 | 0.624169 |
72 | 20 | 0.351535 | 0.552234 | 0.543296 | 0.367852 | 0.411772 | 0.517566 | 0.395905 | 0.489681 |
73 | 12 | 0.800559 | 0.742577 | 0.615992 | 0.600915 | 0.358307 | 0.483813 | 0.72804 | 0.621224 |
74 | 14 | 0.538722 | 0.280969 | 0.258806 | 0.240407 | 0.268142 | 0.595426 | 0.235808 | 0.470191 |
75 | 19 | 0.259552 | 0.402054 | 0.243675 | 0.218632 | 0.412193 | 0.281311 | 0.277015 | 0.363181 |
76 | 40 | 0.404892 | 0.110194 | 0.317956 | 0.203422 | 0.464915 | 0.291349 | 0.752849 | 0.301317 |
77 | 46 | 0.824594 | 0.636195 | 0.507683 | 0.497389 | 0.571163 | 0.657192 | 0.198736 | 0.631014 |
78 | 14 | 0.340266 | 0.413489 | 0.386651 | 0.373516 | 0.649429 | 0.469218 | 0.487832 | 0.399611 |
79 | 26 | 0.975222 | 0.629006 | 0.516162 | 0.576362 | 0.221423 | 0.589034 | 0.350592 | 0.689474 |
80 | 43 | 0.813709 | 0.578089 | 0.473675 | 0.660286 | 0.219685 | 0.505536 | 0.338794 | 0.644524 |
81 | 17 | 0.918896 | 0.681674 | 0.520757 | 0.638791 | 0.7372 | 0.423307 | 0.281803 | 0.617802 |
82 | 10 | 0.436256 | 0.238102 | 0.360811 | 0.419368 | 0.793705 | 0.346503 | 0.604827 | 0.347356 |
83 | 42 | 0.497322 | 0.476079 | 0.558631 | 0.375107 | 0.796601 | 0.153857 | 0.63577 | 0.388731 |
84 | 2 | 0.747122 | 0.555156 | 0.477122 | 0.594328 | 0.628325 | 0.484178 | 0.076848 | 0.592953 |
85 | 15 | 0.662051 | 0.642585 | 0.367532 | 0.372848 | 0.178178 | 0.327852 | 0.308739 | 0.552521 |
86 | 16 | 0.333037 | 0.561181 | 0.356048 | 0.458782 | 0.160577 | 0.423009 | 0.103769 | 0.520047 |
87 | 41 | 0.327375 | 0.283538 | 0.532503 | 0.386388 | 0.57197 | 0.600653 | 0.807633 | 0.394177 |
88 | 46 | 0.723256 | 0.542033 | 0.432145 | 0.313766 | 0.262848 | 0.438723 | 0.643655 | 0.521318 |
89 | 2 | 0.357461 | 0.533127 | 0.454208 | 0.444751 | 0.268204 | 0.384793 | 0.573924 | 0.466941 |
90 | 33 | 0.709584 | 0.875481 | 0.715299 | 0.331114 | 0.551964 | 0.476313 | 0.688053 | 0.580134 |
91 | 9 | 0.745682 | 0.54157 | 0.724785 | 0.474255 | 0.685348 | 0.622026 | 0.760383 | 0.552457 |
92 | 39 | 0.728863 | 0.621105 | 0.477833 | 0.55442 | 0.314501 | 0.459136 | 0.211558 | 0.615048 |
93 | 12 | 0.69113 | 0.527482 | 0.30867 | 0.259998 | 0.217698 | 0.360066 | 0.252781 | 0.521244 |
94 | 6 | 0.763729 | 0.568541 | 0.609921 | 0.547438 | 0.180987 | 0.59191 | 0.415542 | 0.645337 |
95 | 9 | 0.738528 | 0.655731 | 0.386978 | 0.505808 | 0.706468 | 0.548847 | 0.712694 | 0.518406 |
96 | 48 | 0.378761 | 0.629706 | 0.750066 | 0.418179 | 0.363827 | 0.31302 | 0.335722 | 0.526651 |
97 | 20 | 0.382627 | 0.361062 | 0.319342 | 0.268411 | 0.470971 | 0.44157 | 0.385728 | 0.403311 |
98 | 6 | 0.363976 | 0.514085 | 0.549112 | 0.243534 | 0.461011 | 0.249501 | 0.333987 | 0.432229 |
99 | 16 | 0.920633 | 0.764659 | 0.351652 | 0.611538 | 0.422442 | 0.65097 | 0.394751 | 0.662286 |
100 | 13 | 0.857082 | 0.629117 | 0.49912 | 0.500313 | 0.574771 | 0.520594 | 0.187194 | 0.617187 |
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Neurowage Economics Dataset
Dataset Description
Summary
Synthetic 200-row dataset for Neurowage measurement and computational experiments.
Supported Tasks
- Economic analysis
- Neuroeconomics research
- Computational economics
Languages
- English (metadata and documentation)
- Python (code examples)
Dataset Structure
Data Fields
id: Unique observation idcohort: Synthetic worker cohortcognitive_performance_gap: Gap in measured cognitive performance relevant to tasksstress_burden: Chronic economic and psychological stress burdenhealth_constraint: Health-related constraints affecting cognitive functionlearning_access_gap: Gap in access to learning and cognitive development resourcestask_complexity_match: Match quality between worker capacity and task complexitywage_progression_dispersion: Dispersion in wage progression outcomessupportive_investment: Supportive investments in health, learning, and stabilityneurowage_index: Composite term index
Data Splits
- Full dataset: 200 examples
Dataset Creation
Source Data
Synthetic data generated for demonstrating Neurowage applications.
Data Generation
Channels are sampled from controlled distributions with correlated structure. The term index is computed from normalized channels and directional weights.
Considerations
Social Impact
Research-only synthetic data for method development and reproducibility testing.
Additional Information
Licensing
MIT License - free for academic and commercial use.
Citation
@dataset{neurowage2026, title={{Neurowage Economics Dataset}}, author={{Economic Research Collective}}, year={{2026}} }
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