Datasets:
Tasks:
Tabular Classification
Modalities:
Tabular
Formats:
csv
Languages:
English
Size:
< 1K
Tags:
economics
tokenomic-drift
computational-economics
cryptocurrency-economics
emerging-terminology
License:
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id int64 1 200 | epoch int64 1 80 | supply_schedule_deviation float64 0.15 0.95 | emission_volatility float64 0 0.9 | utility_capture_shift float64 0.06 0.88 | staking_yield_instability float64 0.08 0.84 | governance_change_rate float64 0.06 0.98 | redistribution_variance float64 0.01 0.74 | policy_anchor_strength float64 0.06 0.92 | tokenomic_drift_index float64 0.24 0.76 |
|---|---|---|---|---|---|---|---|---|---|
1 | 56 | 0.686732 | 0.609186 | 0.613845 | 0.492506 | 0.281565 | 0.267582 | 0.387238 | 0.521053 |
2 | 15 | 0.60512 | 0.596081 | 0.455805 | 0.576097 | 0.40549 | 0.506832 | 0.221667 | 0.553299 |
3 | 33 | 0.345346 | 0.337377 | 0.425646 | 0.323225 | 0.538658 | 0.34417 | 0.351383 | 0.411072 |
4 | 11 | 0.464486 | 0.271911 | 0.260278 | 0.254109 | 0.739555 | 0.315927 | 0.807706 | 0.365011 |
5 | 46 | 0.921942 | 0.641386 | 0.448078 | 0.254768 | 0.89149 | 0.564677 | 0.400448 | 0.628457 |
6 | 51 | 0.919464 | 0.58083 | 0.531684 | 0.418846 | 0.401482 | 0.264849 | 0.473983 | 0.542735 |
7 | 5 | 0.726167 | 0.536002 | 0.355735 | 0.422361 | 0.486655 | 0.405956 | 0.341185 | 0.515246 |
8 | 19 | 0.827131 | 0.765412 | 0.682047 | 0.359816 | 0.436433 | 0.246721 | 0.846102 | 0.536948 |
9 | 19 | 0.467638 | 0.422 | 0.323589 | 0.476207 | 0.72166 | 0.343657 | 0.614707 | 0.450939 |
10 | 58 | 0.431121 | 0.633688 | 0.523702 | 0.379613 | 0.686262 | 0.467044 | 0.362773 | 0.531775 |
11 | 35 | 0.827382 | 0.703568 | 0.559359 | 0.408907 | 0.539558 | 0.407162 | 0.658022 | 0.56684 |
12 | 62 | 0.496559 | 0.608277 | 0.461296 | 0.472741 | 0.109063 | 0.278724 | 0.52816 | 0.422596 |
13 | 47 | 0.811025 | 0.465072 | 0.427215 | 0.453097 | 0.591387 | 0.402659 | 0.271184 | 0.556179 |
14 | 45 | 0.48672 | 0.534265 | 0.548732 | 0.363138 | 0.570336 | 0.569085 | 0.388877 | 0.520978 |
15 | 65 | 0.398533 | 0.354597 | 0.493723 | 0.253325 | 0.544132 | 0.394395 | 0.334568 | 0.432982 |
16 | 73 | 0.401535 | 0.276213 | 0.067053 | 0.51939 | 0.655015 | 0.410077 | 0.312124 | 0.409612 |
17 | 23 | 0.664068 | 0.558283 | 0.417947 | 0.396413 | 0.552471 | 0.263429 | 0.765496 | 0.463635 |
18 | 70 | 0.821963 | 0.903426 | 0.474397 | 0.648102 | 0.607458 | 0.376168 | 0.348362 | 0.654487 |
19 | 5 | 0.839238 | 0.498026 | 0.576512 | 0.340971 | 0.966646 | 0.474321 | 0.155363 | 0.647438 |
20 | 35 | 0.251033 | 0.444644 | 0.479443 | 0.452978 | 0.301447 | 0.30265 | 0.377281 | 0.397249 |
21 | 72 | 0.803199 | 0.688819 | 0.495911 | 0.53776 | 0.665214 | 0.620253 | 0.526777 | 0.624302 |
22 | 56 | 0.649199 | 0.580515 | 0.387127 | 0.306831 | 0.698911 | 0.459829 | 0.122051 | 0.555457 |
23 | 3 | 0.432217 | 0.457684 | 0.517451 | 0.327497 | 0.25413 | 0.304649 | 0.588031 | 0.393003 |
24 | 18 | 0.57175 | 0.432475 | 0.519562 | 0.5069 | 0.416563 | 0.551159 | 0.082122 | 0.542453 |
25 | 71 | 0.752891 | 0.557227 | 0.531237 | 0.643046 | 0.487256 | 0.40937 | 0.274748 | 0.589567 |
26 | 66 | 0.458793 | 0.231779 | 0.293525 | 0.357354 | 0.372016 | 0.32602 | 0.380124 | 0.369853 |
27 | 39 | 0.520961 | 0.371285 | 0.480211 | 0.277268 | 0.459601 | 0.315803 | 0.613557 | 0.409715 |
28 | 67 | 0.563284 | 0.672315 | 0.562235 | 0.527603 | 0.200951 | 0.261552 | 0.534117 | 0.478891 |
29 | 48 | 0.75352 | 0.560608 | 0.528469 | 0.666481 | 0.555026 | 0.350497 | 0.738835 | 0.549073 |
30 | 57 | 0.777762 | 0.485925 | 0.544173 | 0.35302 | 0.691435 | 0.545409 | 0.48747 | 0.567739 |
31 | 6 | 0.763071 | 0.615332 | 0.602375 | 0.603748 | 0.980735 | 0.466255 | 0.546096 | 0.655354 |
32 | 15 | 0.655095 | 0.532381 | 0.394943 | 0.450505 | 0.381149 | 0.325914 | 0.593935 | 0.462437 |
33 | 74 | 0.801416 | 0.436848 | 0.375376 | 0.631476 | 0.542823 | 0.302259 | 0.780136 | 0.49687 |
34 | 1 | 0.859433 | 0.591447 | 0.321754 | 0.504561 | 0.722284 | 0.456425 | 0.228515 | 0.604488 |
35 | 1 | 0.204735 | 0.626526 | 0.329519 | 0.56973 | 0.70112 | 0.662683 | 0.872947 | 0.459966 |
36 | 4 | 0.446852 | 0.451783 | 0.243962 | 0.65923 | 0.447378 | 0.399438 | 0.690612 | 0.425549 |
37 | 46 | 0.70154 | 0.562537 | 0.620114 | 0.182322 | 0.488278 | 0.327258 | 0.32935 | 0.515721 |
38 | 27 | 0.651176 | 0.367132 | 0.588682 | 0.432393 | 0.454733 | 0.269075 | 0.470422 | 0.479586 |
39 | 77 | 0.785817 | 0.838617 | 0.779202 | 0.462929 | 0.798158 | 0.582701 | 0.299699 | 0.716804 |
40 | 23 | 0.569697 | 0.422674 | 0.500897 | 0.276817 | 0.700792 | 0.482732 | 0.271648 | 0.517945 |
41 | 35 | 0.881066 | 0.731019 | 0.588321 | 0.376991 | 0.757301 | 0.376693 | 0.627109 | 0.610979 |
42 | 4 | 0.599119 | 0.452181 | 0.394588 | 0.308911 | 0.614977 | 0.476841 | 0.401773 | 0.489712 |
43 | 27 | 0.729417 | 0.654504 | 0.557899 | 0.586223 | 0.850659 | 0.445354 | 0.680938 | 0.611792 |
44 | 19 | 0.41024 | 0.522137 | 0.264375 | 0.554991 | 0.521387 | 0.414885 | 0.768972 | 0.423267 |
45 | 58 | 0.788153 | 0.557463 | 0.538137 | 0.562611 | 0.559581 | 0.449097 | 0.344399 | 0.593722 |
46 | 23 | 0.701947 | 0.38747 | 0.57479 | 0.35908 | 0.442669 | 0.170202 | 0.419528 | 0.471028 |
47 | 48 | 0.724188 | 0.418332 | 0.416637 | 0.392378 | 0.162789 | 0.17365 | 0.809764 | 0.381534 |
48 | 80 | 0.810956 | 0.455836 | 0.483959 | 0.388522 | 0.703728 | 0.408552 | 0.440698 | 0.554211 |
49 | 71 | 0.67529 | 0.409015 | 0.393577 | 0.26608 | 0.436755 | 0.196835 | 0.817467 | 0.390237 |
50 | 19 | 0.603917 | 0.528696 | 0.452152 | 0.622266 | 0.850442 | 0.612204 | 0.422473 | 0.603037 |
51 | 6 | 0.635623 | 0.412313 | 0.371142 | 0.464937 | 0.713289 | 0.504269 | 0.746276 | 0.490601 |
52 | 48 | 0.743226 | 0.687408 | 0.546512 | 0.541141 | 0.585812 | 0.475832 | 0.448681 | 0.601213 |
53 | 74 | 0.412167 | 0.424809 | 0.371719 | 0.415894 | 0.830496 | 0.405956 | 0.39216 | 0.485628 |
54 | 74 | 0.76039 | 0.452983 | 0.56108 | 0.375599 | 0.375108 | 0.243905 | 0.599879 | 0.4735 |
55 | 36 | 0.496938 | 0.411795 | 0.225588 | 0.164304 | 0.481437 | 0.37066 | 0.57296 | 0.369017 |
56 | 66 | 0.551494 | 0.548449 | 0.519689 | 0.211438 | 0.436713 | 0.270547 | 0.604007 | 0.432977 |
57 | 6 | 0.448491 | 0.733214 | 0.473993 | 0.567808 | 0.826563 | 0.532468 | 0.924754 | 0.540514 |
58 | 33 | 0.879717 | 0.583414 | 0.443848 | 0.267754 | 0.285799 | 0.299187 | 0.183511 | 0.51776 |
59 | 40 | 0.561863 | 0.561596 | 0.374396 | 0.268303 | 0.473669 | 0.324085 | 0.558443 | 0.437816 |
60 | 29 | 0.348572 | 0.447023 | 0.548768 | 0.524744 | 0.356416 | 0.511011 | 0.13938 | 0.492815 |
61 | 12 | 0.616295 | 0.617631 | 0.42602 | 0.590713 | 0.522063 | 0.511105 | 0.449773 | 0.550061 |
62 | 3 | 0.474317 | 0.517178 | 0.433999 | 0.380049 | 0.417814 | 0.37523 | 0.687351 | 0.425559 |
63 | 51 | 0.530088 | 0.32758 | 0.247456 | 0.343984 | 0.465524 | 0.43748 | 0.603607 | 0.39289 |
64 | 24 | 0.258152 | 0.177321 | 0.318835 | 0.405235 | 0.707373 | 0.319511 | 0.34261 | 0.385698 |
65 | 24 | 0.360315 | 0.290088 | 0.168169 | 0.283375 | 0.536996 | 0.329428 | 0.282436 | 0.364318 |
66 | 21 | 0.741208 | 0.652917 | 0.513093 | 0.584189 | 0.559594 | 0.354666 | 0.681182 | 0.55455 |
67 | 51 | 0.606129 | 0.473864 | 0.464032 | 0.283354 | 0.620997 | 0.348006 | 0.849962 | 0.44254 |
68 | 56 | 0.705335 | 0.742542 | 0.650949 | 0.488206 | 0.675725 | 0.567087 | 0.364088 | 0.644511 |
69 | 39 | 0.729971 | 0.611748 | 0.559782 | 0.341753 | 0.649167 | 0.342618 | 0.33376 | 0.565307 |
70 | 63 | 0.780038 | 0.452811 | 0.373456 | 0.341855 | 0.651972 | 0.385685 | 0.398537 | 0.518174 |
71 | 16 | 0.744993 | 0.763002 | 0.744254 | 0.420495 | 0.303319 | 0.278587 | 0.57693 | 0.552331 |
72 | 66 | 0.315297 | 0.56633 | 0.370664 | 0.310326 | 0.499217 | 0.342776 | 0.168351 | 0.444306 |
73 | 16 | 0.654851 | 0.486372 | 0.468394 | 0.409372 | 0.893817 | 0.602161 | 0.556477 | 0.569694 |
74 | 23 | 0.851292 | 0.731492 | 0.600061 | 0.446326 | 0.612318 | 0.553945 | 0.501449 | 0.63082 |
75 | 63 | 0.438291 | 0.59249 | 0.207278 | 0.603769 | 0.330502 | 0.338769 | 0.274191 | 0.450886 |
76 | 31 | 0.494134 | 0.47728 | 0.350747 | 0.409703 | 0.217912 | 0.40439 | 0.589731 | 0.398848 |
77 | 48 | 0.76479 | 0.40107 | 0.374682 | 0.364085 | 0.717209 | 0.352655 | 0.752245 | 0.480258 |
78 | 56 | 0.906098 | 0.622508 | 0.555693 | 0.292813 | 0.409905 | 0.218769 | 0.605726 | 0.51567 |
79 | 68 | 0.388264 | 0.59541 | 0.544966 | 0.634615 | 0.710552 | 0.737995 | 0.624252 | 0.566805 |
80 | 67 | 0.575435 | 0.634311 | 0.531089 | 0.483351 | 0.551207 | 0.37951 | 0.699119 | 0.51051 |
81 | 80 | 0.684133 | 0.587523 | 0.549597 | 0.723299 | 0.646364 | 0.424391 | 0.614426 | 0.58632 |
82 | 1 | 0.325529 | 0.482708 | 0.548756 | 0.626603 | 0.322604 | 0.336537 | 0.572727 | 0.43963 |
83 | 8 | 0.723942 | 0.537468 | 0.607527 | 0.150192 | 0.755224 | 0.56924 | 0.582792 | 0.550296 |
84 | 71 | 0.149262 | 0.418183 | 0.190401 | 0.425194 | 0.348739 | 0.148827 | 0.1749 | 0.33296 |
85 | 19 | 0.951667 | 0.78757 | 0.724471 | 0.617586 | 0.905216 | 0.545054 | 0.299269 | 0.761899 |
86 | 74 | 0.662695 | 0.490769 | 0.379785 | 0.374666 | 0.638477 | 0.387687 | 0.641144 | 0.482822 |
87 | 65 | 0.877069 | 0.649181 | 0.877746 | 0.279679 | 0.835169 | 0.516027 | 0.430873 | 0.677095 |
88 | 37 | 0.816915 | 0.459734 | 0.300759 | 0.356845 | 0.506933 | 0.545596 | 0.278521 | 0.527272 |
89 | 53 | 0.431457 | 0.35516 | 0.256819 | 0.510516 | 0.264443 | 0.442653 | 0.625295 | 0.374662 |
90 | 30 | 0.76905 | 0.48017 | 0.421572 | 0.284193 | 0.328184 | 0.219192 | 0.190431 | 0.4757 |
91 | 45 | 0.748836 | 0.7128 | 0.464275 | 0.360776 | 0.395782 | 0.401157 | 0.50942 | 0.526237 |
92 | 16 | 0.374801 | 0.260739 | 0.24321 | 0.359677 | 0.749421 | 0.352998 | 0.579554 | 0.387774 |
93 | 55 | 0.320897 | 0.334251 | 0.350788 | 0.078351 | 0.306949 | 0.250556 | 0.338614 | 0.317515 |
94 | 50 | 0.64855 | 0.632609 | 0.63338 | 0.339901 | 0.672949 | 0.441364 | 0.310764 | 0.582983 |
95 | 44 | 0.569157 | 0.692043 | 0.340146 | 0.441294 | 0.80759 | 0.496419 | 0.823791 | 0.519633 |
96 | 52 | 0.670696 | 0.569437 | 0.430405 | 0.836935 | 0.680246 | 0.521927 | 0.26957 | 0.62878 |
97 | 39 | 0.817656 | 0.347515 | 0.704453 | 0.301831 | 0.570971 | 0.277416 | 0.371921 | 0.533783 |
98 | 5 | 0.540144 | 0.618415 | 0.565579 | 0.419638 | 0.672347 | 0.332844 | 0.576707 | 0.521813 |
99 | 65 | 0.553002 | 0.285468 | 0.543872 | 0.345112 | 0.887443 | 0.418872 | 0.469879 | 0.508069 |
100 | 7 | 0.491177 | 0.530502 | 0.425647 | 0.623896 | 0.772176 | 0.447782 | 0.610543 | 0.529525 |
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tokenomic drift Economics Dataset
Dataset Description
Summary
Synthetic 200-row dataset for tokenomic drift measurement and computational experiments.
Supported Tasks
- Economic analysis
- Cryptocurrency Economics research
- Computational economics
Languages
- English (metadata and documentation)
- Python (code examples)
Dataset Structure
Data Fields
id: Unique observation idepoch: Synthetic tokenomic epochsupply_schedule_deviation: Deviation from intended token supply scheduleemission_volatility: Volatility in net token emission ratesutility_capture_shift: Shift in value accrual utility channelsstaking_yield_instability: Instability in staking/holding yield incentivesgovernance_change_rate: Frequency and magnitude of governance rule changesredistribution_variance: Variance in redistribution/burn/reward mechanismspolicy_anchor_strength: Strength of stable tokenomic policy anchorstokenomic_drift_index: Composite term index
Data Splits
- Full dataset: 200 examples
Dataset Creation
Source Data
Synthetic data generated for demonstrating tokenomic drift 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{tokenomic-drift2026, title={{tokenomic drift Economics Dataset}}, author={{Economic Research Collective}}, year={{2026}} }
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