Datasets:
Tasks:
Tabular Classification
Modalities:
Tabular
Formats:
csv
Languages:
English
Size:
< 1K
Tags:
economics
shockgating
computational-economics
computational/algorithmic-economics
emerging-terminology
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id int64 1 200 | period int64 1 60 | demand_shock_intensity float64 0.11 0.98 | surge_response_amplitude float64 0.01 1 | punishment_window float64 0.13 1 | deviation_detection_sensitivity float64 0.16 0.97 | coordination_signal_strength float64 0.15 0.76 | price_sync float64 0.13 0.66 | competitive_pressure float64 0.02 0.92 | shockgating_index float64 0.31 0.79 |
|---|---|---|---|---|---|---|---|---|---|
1 | 38 | 0.723228 | 0.546231 | 0.629876 | 0.512546 | 0.334287 | 0.368108 | 0.574424 | 0.523645 |
2 | 36 | 0.349803 | 0.368557 | 0.329871 | 0.571542 | 0.243108 | 0.27523 | 0.693367 | 0.352455 |
3 | 58 | 0.814093 | 0.549341 | 0.499008 | 0.7433 | 0.568243 | 0.422949 | 0.850762 | 0.563566 |
4 | 20 | 0.668964 | 0.553777 | 0.64465 | 0.37625 | 0.382409 | 0.265654 | 0.921074 | 0.458145 |
5 | 8 | 0.600455 | 0.24825 | 0.463684 | 0.926477 | 0.460543 | 0.286514 | 0.327636 | 0.517792 |
6 | 31 | 0.637439 | 0.503066 | 0.652818 | 0.809769 | 0.558756 | 0.486899 | 0.430167 | 0.606685 |
7 | 31 | 0.917971 | 0.692651 | 0.619722 | 0.35541 | 0.362266 | 0.336533 | 0.487093 | 0.567364 |
8 | 32 | 0.922756 | 0.689294 | 0.667933 | 0.668924 | 0.671609 | 0.523844 | 0.264557 | 0.707333 |
9 | 18 | 0.386341 | 0.469292 | 0.18523 | 0.735903 | 0.462877 | 0.435776 | 0.586486 | 0.435739 |
10 | 3 | 0.224372 | 0.233574 | 0.257609 | 0.883265 | 0.339049 | 0.490855 | 0.430128 | 0.40599 |
11 | 49 | 0.503397 | 0.013989 | 0.155148 | 0.589412 | 0.364318 | 0.273473 | 0.178451 | 0.366167 |
12 | 53 | 0.658523 | 0.538072 | 0.559784 | 0.549326 | 0.383434 | 0.277506 | 0.766464 | 0.481432 |
13 | 60 | 0.773783 | 0.698274 | 0.752044 | 0.381384 | 0.364147 | 0.181913 | 0.488219 | 0.548714 |
14 | 48 | 0.896846 | 0.549276 | 0.327638 | 0.416012 | 0.525311 | 0.475568 | 0.545056 | 0.536086 |
15 | 30 | 0.681086 | 0.315945 | 0.462963 | 0.567313 | 0.31626 | 0.270346 | 0.722646 | 0.431098 |
16 | 20 | 0.375861 | 0.413804 | 0.304692 | 0.477088 | 0.258146 | 0.343699 | 0.653328 | 0.361458 |
17 | 14 | 0.254417 | 0.492534 | 0.369208 | 0.339578 | 0.264643 | 0.133358 | 0.770417 | 0.307226 |
18 | 11 | 0.6273 | 0.520188 | 0.458838 | 0.812657 | 0.649441 | 0.526694 | 0.241512 | 0.613304 |
19 | 60 | 0.481755 | 0.384645 | 0.372527 | 0.92459 | 0.347044 | 0.374007 | 0.742856 | 0.456487 |
20 | 27 | 0.106356 | 0.243332 | 0.390656 | 0.329008 | 0.547082 | 0.347705 | 0.422424 | 0.342717 |
21 | 4 | 0.379307 | 0.355446 | 0.245543 | 0.441994 | 0.477346 | 0.516033 | 0.299756 | 0.42509 |
22 | 30 | 0.801167 | 0.6379 | 0.503143 | 0.849222 | 0.499236 | 0.422924 | 0.540306 | 0.612281 |
23 | 2 | 0.524198 | 0.678699 | 0.56575 | 0.545664 | 0.285795 | 0.274194 | 0.37409 | 0.505366 |
24 | 34 | 0.81516 | 0.724127 | 0.442643 | 0.555057 | 0.273646 | 0.424817 | 0.183471 | 0.582061 |
25 | 25 | 0.933946 | 0.444386 | 0.634149 | 0.750461 | 0.465372 | 0.522455 | 0.038137 | 0.669773 |
26 | 18 | 0.736413 | 0.524473 | 0.409274 | 0.296546 | 0.213411 | 0.37494 | 0.044253 | 0.493915 |
27 | 4 | 0.582769 | 0.493733 | 0.513199 | 0.598249 | 0.572765 | 0.203319 | 0.643532 | 0.489994 |
28 | 32 | 0.43485 | 0.436978 | 0.513635 | 0.738074 | 0.482071 | 0.125694 | 0.726514 | 0.443623 |
29 | 13 | 0.698414 | 0.607733 | 0.587421 | 0.306659 | 0.446052 | 0.532301 | 0.328984 | 0.553296 |
30 | 7 | 0.854152 | 0.679532 | 0.559306 | 0.752127 | 0.454499 | 0.336715 | 0.351379 | 0.626157 |
31 | 49 | 0.459724 | 0.413489 | 0.254262 | 0.510414 | 0.364035 | 0.468697 | 0.213898 | 0.446867 |
32 | 44 | 0.692723 | 0.46819 | 0.321999 | 0.378447 | 0.373337 | 0.314776 | 0.412355 | 0.452908 |
33 | 57 | 0.782621 | 0.655233 | 0.534598 | 0.82678 | 0.529751 | 0.590523 | 0.461927 | 0.645829 |
34 | 48 | 0.881889 | 0.793212 | 0.506394 | 0.500084 | 0.282155 | 0.319869 | 0.807916 | 0.533783 |
35 | 12 | 0.431798 | 0.584699 | 0.585356 | 0.735627 | 0.571023 | 0.484154 | 0.545959 | 0.551366 |
36 | 52 | 0.74551 | 0.619366 | 0.652856 | 0.384445 | 0.483871 | 0.544233 | 0.633821 | 0.561237 |
37 | 20 | 0.478009 | 0.409143 | 0.577646 | 0.672494 | 0.528289 | 0.343805 | 0.784875 | 0.474807 |
38 | 40 | 0.571183 | 0.581263 | 0.419977 | 0.897767 | 0.549422 | 0.498499 | 0.550782 | 0.57036 |
39 | 16 | 0.690267 | 0.548923 | 0.444074 | 0.615909 | 0.230609 | 0.188415 | 0.684769 | 0.455773 |
40 | 19 | 0.878298 | 0.472608 | 0.448273 | 0.68716 | 0.469397 | 0.301139 | 0.43155 | 0.560334 |
41 | 25 | 0.671851 | 0.461367 | 0.656289 | 0.905622 | 0.737534 | 0.572531 | 0.719871 | 0.626517 |
42 | 49 | 0.472746 | 0.366386 | 0.434932 | 0.54351 | 0.305195 | 0.254266 | 0.15725 | 0.446911 |
43 | 16 | 0.778496 | 0.450945 | 0.518873 | 0.723763 | 0.550638 | 0.364608 | 0.131768 | 0.604293 |
44 | 5 | 0.708697 | 0.53817 | 0.469772 | 0.616388 | 0.353651 | 0.388959 | 0.472532 | 0.524064 |
45 | 52 | 0.661281 | 0.563285 | 0.609939 | 0.260677 | 0.332426 | 0.301818 | 0.423647 | 0.483634 |
46 | 45 | 0.864903 | 0.291426 | 0.350804 | 0.221964 | 0.404176 | 0.34847 | 0.503678 | 0.437548 |
47 | 59 | 0.517557 | 0.518503 | 0.433217 | 0.676956 | 0.426689 | 0.517839 | 0.565487 | 0.505538 |
48 | 36 | 0.684873 | 0.770391 | 0.493218 | 0.392664 | 0.579205 | 0.278627 | 0.365442 | 0.558407 |
49 | 18 | 0.77702 | 0.344761 | 0.432093 | 0.852217 | 0.494546 | 0.552918 | 0.509243 | 0.568133 |
50 | 17 | 0.588257 | 0.574725 | 0.427946 | 0.343593 | 0.457308 | 0.546334 | 0.608862 | 0.483114 |
51 | 32 | 0.624767 | 0.526789 | 0.677683 | 0.616072 | 0.472849 | 0.358687 | 0.29879 | 0.570786 |
52 | 25 | 0.619567 | 0.328646 | 0.392185 | 0.435937 | 0.454604 | 0.324198 | 0.118884 | 0.478546 |
53 | 24 | 0.69266 | 0.386141 | 0.453316 | 0.456295 | 0.208024 | 0.23969 | 0.270329 | 0.453726 |
54 | 60 | 0.318637 | 0.222099 | 0.229779 | 0.700525 | 0.481105 | 0.365963 | 0.435038 | 0.395495 |
55 | 6 | 0.450619 | 0.707141 | 0.591381 | 0.32116 | 0.385787 | 0.180386 | 0.539192 | 0.455575 |
56 | 22 | 0.871306 | 0.640305 | 0.510671 | 0.612753 | 0.398439 | 0.457575 | 0.323797 | 0.605088 |
57 | 24 | 0.740387 | 0.267978 | 0.301579 | 0.405187 | 0.295617 | 0.291746 | 0.077381 | 0.449783 |
58 | 3 | 0.514761 | 0.716745 | 0.624836 | 0.370024 | 0.474907 | 0.306054 | 0.205989 | 0.541728 |
59 | 36 | 0.444107 | 0.487989 | 0.232885 | 0.610036 | 0.400797 | 0.37288 | 0.449905 | 0.436551 |
60 | 54 | 0.728357 | 0.545133 | 0.301365 | 0.570309 | 0.293903 | 0.452275 | 0.420421 | 0.499765 |
61 | 2 | 0.592622 | 0.768613 | 0.539479 | 0.672051 | 0.324571 | 0.438326 | 0.445714 | 0.563522 |
62 | 39 | 0.665948 | 0.625512 | 0.374702 | 0.580751 | 0.333126 | 0.152162 | 0.42644 | 0.483463 |
63 | 54 | 0.579406 | 0.423788 | 0.354131 | 0.565929 | 0.28496 | 0.41741 | 0.565818 | 0.441392 |
64 | 19 | 0.813912 | 0.701293 | 0.697474 | 0.178156 | 0.41242 | 0.505629 | 0.904363 | 0.523227 |
65 | 53 | 0.713537 | 0.439271 | 0.446318 | 0.433211 | 0.350138 | 0.289197 | 0.737109 | 0.440792 |
66 | 34 | 0.714777 | 0.563325 | 0.626767 | 0.575896 | 0.54011 | 0.423354 | 0.336297 | 0.592488 |
67 | 18 | 0.602807 | 0.379399 | 0.55162 | 0.723879 | 0.385081 | 0.268355 | 0.390103 | 0.505915 |
68 | 30 | 0.698816 | 0.442572 | 0.431879 | 0.86579 | 0.649561 | 0.428272 | 0.308748 | 0.598366 |
69 | 1 | 0.563931 | 0.435447 | 0.522822 | 0.358346 | 0.420338 | 0.416974 | 0.404937 | 0.47339 |
70 | 44 | 0.214104 | 0.457008 | 0.286244 | 0.567336 | 0.462861 | 0.359724 | 0.207839 | 0.42407 |
71 | 35 | 0.895832 | 0.754236 | 0.717659 | 0.455442 | 0.567668 | 0.548477 | 0.713601 | 0.634446 |
72 | 14 | 0.906813 | 0.486317 | 0.602476 | 0.946016 | 0.62619 | 0.48408 | 0.705295 | 0.645102 |
73 | 8 | 0.631965 | 0.604915 | 0.391644 | 0.539606 | 0.668655 | 0.512279 | 0.431367 | 0.560697 |
74 | 31 | 0.58061 | 0.481986 | 0.652393 | 0.656986 | 0.38876 | 0.233568 | 0.193856 | 0.541057 |
75 | 49 | 0.615594 | 0.399737 | 0.551733 | 0.79875 | 0.473996 | 0.474712 | 0.132192 | 0.584973 |
76 | 23 | 0.495605 | 0.446057 | 0.367753 | 0.553091 | 0.466776 | 0.337336 | 0.444446 | 0.458236 |
77 | 39 | 0.203293 | 0.43081 | 0.403127 | 0.88731 | 0.601812 | 0.388194 | 0.885603 | 0.436523 |
78 | 1 | 0.688569 | 0.372153 | 0.649337 | 0.406954 | 0.55468 | 0.39522 | 0.23939 | 0.545497 |
79 | 40 | 0.522617 | 0.413111 | 0.571549 | 0.190843 | 0.221646 | 0.391201 | 0.716457 | 0.384663 |
80 | 30 | 0.848698 | 0.344214 | 0.578143 | 0.830422 | 0.673824 | 0.335552 | 0.666488 | 0.584555 |
81 | 11 | 0.449343 | 0.516446 | 0.49362 | 0.472933 | 0.389457 | 0.513327 | 0.766378 | 0.448188 |
82 | 32 | 0.7448 | 0.464143 | 0.525942 | 0.465795 | 0.478551 | 0.405997 | 0.489007 | 0.524505 |
83 | 30 | 0.575563 | 0.374688 | 0.493534 | 0.306624 | 0.225556 | 0.413869 | 0.604956 | 0.406191 |
84 | 58 | 0.80031 | 0.558227 | 0.589641 | 0.653117 | 0.604278 | 0.552768 | 0.227857 | 0.647296 |
85 | 29 | 0.806677 | 0.445563 | 0.49824 | 0.91744 | 0.755081 | 0.589029 | 0.458168 | 0.65523 |
86 | 55 | 0.548131 | 0.483087 | 0.439932 | 0.899202 | 0.625501 | 0.518676 | 0.566929 | 0.565353 |
87 | 37 | 0.69733 | 0.442982 | 0.572596 | 0.656501 | 0.443581 | 0.481557 | 0.694345 | 0.530376 |
88 | 22 | 0.895736 | 0.645282 | 0.522043 | 0.381995 | 0.372378 | 0.547466 | 0.715546 | 0.547758 |
89 | 56 | 0.654464 | 0.567805 | 0.603472 | 0.587534 | 0.435673 | 0.452553 | 0.239844 | 0.578779 |
90 | 3 | 0.819411 | 0.355375 | 0.507931 | 0.530831 | 0.505533 | 0.365282 | 0.469124 | 0.527635 |
91 | 46 | 0.866683 | 0.491156 | 0.596934 | 0.682173 | 0.445967 | 0.417317 | 0.438672 | 0.594248 |
92 | 17 | 0.665191 | 0.260459 | 0.285692 | 0.53429 | 0.395979 | 0.216829 | 0.433876 | 0.419988 |
93 | 17 | 0.345357 | 0.456691 | 0.402337 | 0.328023 | 0.151773 | 0.266019 | 0.261978 | 0.372505 |
94 | 54 | 0.306948 | 0.53189 | 0.605219 | 0.639502 | 0.443524 | 0.452121 | 0.3436 | 0.508706 |
95 | 14 | 0.843171 | 0.861841 | 0.677822 | 0.842182 | 0.6468 | 0.570486 | 0.384345 | 0.736598 |
96 | 3 | 0.594271 | 0.506709 | 0.506922 | 0.423402 | 0.684671 | 0.59673 | 0.896381 | 0.506249 |
97 | 38 | 0.405276 | 0.250697 | 0.126703 | 0.643939 | 0.333936 | 0.243002 | 0.181771 | 0.381219 |
98 | 27 | 0.485293 | 0.37678 | 0.431691 | 0.326699 | 0.485482 | 0.519815 | 0.72042 | 0.420749 |
99 | 24 | 0.469915 | 0.589174 | 0.363602 | 0.675473 | 0.397501 | 0.49109 | 0.143615 | 0.531814 |
100 | 18 | 0.774407 | 0.541878 | 0.567467 | 0.577114 | 0.570034 | 0.528905 | 0.388505 | 0.602107 |
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Shockgating Economics Dataset
Dataset Description
Summary
Synthetic 200-row dataset for Shockgating measurement and computational experiments.
Supported Tasks
- Economic analysis
- Computational/Algorithmic Economics research
- Computational economics
Languages
- English (metadata and documentation)
- Python (code examples)
Dataset Structure
Data Fields
id: Unique observation idperiod: Synthetic market perioddemand_shock_intensity: Intensity of short-run demand shockssurge_response_amplitude: Amplitude of algorithmic surge price responsepunishment_window: Duration/intensity of post-deviation punishment pricingdeviation_detection_sensitivity: Sensitivity to rival pricing deviationscoordination_signal_strength: Strength of coordination signals in pricing patternsprice_sync: Observed synchronization in prices across competitorscompetitive_pressure: Effective competitive pressure limiting coordinated behaviorshockgating_index: Composite term index
Data Splits
- Full dataset: 200 examples
Dataset Creation
Source Data
Synthetic data generated for demonstrating Shockgating 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{shockgating2026, title={{Shockgating Economics Dataset}}, author={{Economic Research Collective}}, year={{2026}} }
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