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id int64 1 200 | period int64 1 48 | tiering_intensity float64 0.17 0.99 | feature_incompatibility float64 0.1 0.82 | access_asymmetry float64 0.07 0.87 | data_partitioning float64 0.12 0.72 | switching_friction float64 0.07 0.69 | price_discrimination_scope float64 0.13 0.7 | interoperability_capacity float64 0.09 0.93 | fracplatform_index float64 0.21 0.69 |
|---|---|---|---|---|---|---|---|---|---|
1 | 15 | 0.622696 | 0.483906 | 0.543191 | 0.344724 | 0.467049 | 0.308252 | 0.3792 | 0.489139 |
2 | 46 | 0.697849 | 0.587003 | 0.340574 | 0.264871 | 0.177247 | 0.138185 | 0.239567 | 0.428547 |
3 | 17 | 0.652363 | 0.574098 | 0.568257 | 0.44155 | 0.490003 | 0.381009 | 0.740803 | 0.50226 |
4 | 20 | 0.815562 | 0.655316 | 0.661056 | 0.554186 | 0.58624 | 0.522775 | 0.604643 | 0.619349 |
5 | 42 | 0.731256 | 0.579673 | 0.562144 | 0.470379 | 0.503749 | 0.455415 | 0.638819 | 0.541463 |
6 | 46 | 0.188392 | 0.475505 | 0.345711 | 0.51485 | 0.067054 | 0.240703 | 0.335409 | 0.342115 |
7 | 9 | 0.749572 | 0.50004 | 0.521955 | 0.53277 | 0.479609 | 0.479994 | 0.853836 | 0.512391 |
8 | 46 | 0.552905 | 0.228626 | 0.590772 | 0.386889 | 0.384196 | 0.455546 | 0.295744 | 0.46367 |
9 | 26 | 0.416678 | 0.734168 | 0.40124 | 0.44487 | 0.586219 | 0.249655 | 0.228513 | 0.508127 |
10 | 36 | 0.271197 | 0.36271 | 0.535964 | 0.359528 | 0.271479 | 0.311753 | 0.732472 | 0.345108 |
11 | 36 | 0.828233 | 0.424376 | 0.718375 | 0.498851 | 0.470215 | 0.445842 | 0.563003 | 0.564792 |
12 | 22 | 0.602211 | 0.371584 | 0.503057 | 0.248891 | 0.373829 | 0.345422 | 0.846455 | 0.392326 |
13 | 9 | 0.615592 | 0.760567 | 0.52746 | 0.418996 | 0.360139 | 0.469841 | 0.450647 | 0.537286 |
14 | 29 | 0.576146 | 0.552378 | 0.416034 | 0.520271 | 0.393226 | 0.466795 | 0.131399 | 0.529417 |
15 | 13 | 0.746825 | 0.741092 | 0.636647 | 0.466673 | 0.421429 | 0.357532 | 0.548363 | 0.567269 |
16 | 9 | 0.796618 | 0.518842 | 0.706059 | 0.62966 | 0.571271 | 0.570179 | 0.713359 | 0.604591 |
17 | 37 | 0.729231 | 0.510026 | 0.669933 | 0.536278 | 0.410635 | 0.506061 | 0.241292 | 0.589221 |
18 | 38 | 0.730258 | 0.451907 | 0.398051 | 0.363721 | 0.390776 | 0.286756 | 0.478666 | 0.459613 |
19 | 42 | 0.62516 | 0.622288 | 0.433172 | 0.471406 | 0.563192 | 0.45205 | 0.323733 | 0.548119 |
20 | 32 | 0.596448 | 0.479885 | 0.684921 | 0.446995 | 0.426853 | 0.474557 | 0.504669 | 0.522548 |
21 | 13 | 0.837671 | 0.558324 | 0.519097 | 0.513855 | 0.425691 | 0.385319 | 0.707235 | 0.530219 |
22 | 39 | 0.706802 | 0.662365 | 0.609339 | 0.482765 | 0.484563 | 0.317801 | 0.541264 | 0.550132 |
23 | 45 | 0.757321 | 0.437237 | 0.528466 | 0.315823 | 0.422083 | 0.434941 | 0.465806 | 0.49975 |
24 | 46 | 0.68485 | 0.502227 | 0.59412 | 0.441437 | 0.30543 | 0.507528 | 0.46737 | 0.517416 |
25 | 47 | 0.516604 | 0.574954 | 0.319688 | 0.449992 | 0.322978 | 0.35139 | 0.277509 | 0.458763 |
26 | 8 | 0.366917 | 0.418797 | 0.211224 | 0.343014 | 0.414693 | 0.339245 | 0.799957 | 0.333641 |
27 | 8 | 0.68779 | 0.572951 | 0.645462 | 0.283994 | 0.42103 | 0.468123 | 0.286153 | 0.545011 |
28 | 47 | 0.624589 | 0.509352 | 0.674105 | 0.701029 | 0.344186 | 0.427576 | 0.494618 | 0.549957 |
29 | 22 | 0.724844 | 0.401435 | 0.563032 | 0.63429 | 0.457687 | 0.345832 | 0.718858 | 0.507277 |
30 | 2 | 0.466561 | 0.565179 | 0.376959 | 0.530208 | 0.392863 | 0.492844 | 0.251399 | 0.497954 |
31 | 43 | 0.419387 | 0.335447 | 0.506117 | 0.458926 | 0.405123 | 0.617372 | 0.611959 | 0.443996 |
32 | 6 | 0.683081 | 0.463784 | 0.592174 | 0.285042 | 0.416092 | 0.415212 | 0.64389 | 0.475503 |
33 | 5 | 0.214319 | 0.269473 | 0.277212 | 0.391638 | 0.3362 | 0.167783 | 0.464096 | 0.301669 |
34 | 36 | 0.843141 | 0.616144 | 0.577153 | 0.369847 | 0.625508 | 0.538338 | 0.641386 | 0.582505 |
35 | 27 | 0.543052 | 0.404662 | 0.513547 | 0.431754 | 0.535425 | 0.419659 | 0.329998 | 0.497427 |
36 | 38 | 0.471702 | 0.575198 | 0.44782 | 0.431421 | 0.300363 | 0.524928 | 0.44176 | 0.469854 |
37 | 29 | 0.408227 | 0.596668 | 0.343588 | 0.483906 | 0.547035 | 0.417895 | 0.635875 | 0.454813 |
38 | 10 | 0.380772 | 0.320655 | 0.447882 | 0.196111 | 0.209419 | 0.143887 | 0.58592 | 0.306954 |
39 | 3 | 0.590736 | 0.463738 | 0.611479 | 0.289526 | 0.392312 | 0.487281 | 0.186827 | 0.513615 |
40 | 33 | 0.531026 | 0.46177 | 0.492368 | 0.619983 | 0.509343 | 0.447565 | 0.273401 | 0.53272 |
41 | 43 | 0.325285 | 0.395594 | 0.314816 | 0.447512 | 0.258428 | 0.272039 | 0.726867 | 0.331007 |
42 | 9 | 0.626165 | 0.339828 | 0.412514 | 0.377268 | 0.531112 | 0.262225 | 0.765864 | 0.415138 |
43 | 46 | 0.717023 | 0.462455 | 0.452326 | 0.413831 | 0.490765 | 0.354074 | 0.833967 | 0.461165 |
44 | 48 | 0.477774 | 0.453358 | 0.609994 | 0.377486 | 0.25359 | 0.455031 | 0.340896 | 0.465001 |
45 | 8 | 0.691948 | 0.643144 | 0.53716 | 0.495493 | 0.655815 | 0.475574 | 0.302541 | 0.601397 |
46 | 15 | 0.29847 | 0.443864 | 0.628176 | 0.505457 | 0.444972 | 0.290836 | 0.434408 | 0.449771 |
47 | 8 | 0.669652 | 0.412743 | 0.527351 | 0.437978 | 0.405369 | 0.264352 | 0.884959 | 0.432248 |
48 | 1 | 0.633604 | 0.528579 | 0.45575 | 0.493544 | 0.492998 | 0.332907 | 0.243403 | 0.525266 |
49 | 19 | 0.910466 | 0.518669 | 0.629042 | 0.322064 | 0.431495 | 0.394572 | 0.318305 | 0.568534 |
50 | 2 | 0.55145 | 0.781164 | 0.477057 | 0.408689 | 0.45408 | 0.519094 | 0.480998 | 0.535555 |
51 | 41 | 0.621834 | 0.512057 | 0.34521 | 0.428588 | 0.379887 | 0.365987 | 0.293572 | 0.476841 |
52 | 43 | 0.795147 | 0.503679 | 0.549031 | 0.316088 | 0.283487 | 0.446072 | 0.523989 | 0.49663 |
53 | 25 | 0.696941 | 0.655578 | 0.675001 | 0.54603 | 0.682806 | 0.555659 | 0.593701 | 0.617688 |
54 | 11 | 0.395978 | 0.546114 | 0.562338 | 0.344279 | 0.444151 | 0.33969 | 0.496175 | 0.450154 |
55 | 5 | 0.280744 | 0.513668 | 0.263589 | 0.486383 | 0.3378 | 0.251444 | 0.085737 | 0.41188 |
56 | 32 | 0.718529 | 0.590988 | 0.619796 | 0.410279 | 0.404107 | 0.454522 | 0.163842 | 0.575233 |
57 | 27 | 0.646792 | 0.641419 | 0.543587 | 0.480868 | 0.533141 | 0.482127 | 0.903893 | 0.515451 |
58 | 36 | 0.656857 | 0.595939 | 0.713212 | 0.425649 | 0.407315 | 0.573669 | 0.86412 | 0.526742 |
59 | 38 | 0.746325 | 0.806141 | 0.687606 | 0.610042 | 0.47088 | 0.49363 | 0.645466 | 0.619356 |
60 | 33 | 0.688018 | 0.5688 | 0.393456 | 0.250161 | 0.217836 | 0.503683 | 0.904492 | 0.413317 |
61 | 43 | 0.245742 | 0.492213 | 0.494665 | 0.463395 | 0.432046 | 0.465018 | 0.766518 | 0.406646 |
62 | 20 | 0.452699 | 0.514034 | 0.549231 | 0.388043 | 0.467565 | 0.526993 | 0.374259 | 0.497207 |
63 | 44 | 0.725694 | 0.577315 | 0.696944 | 0.517975 | 0.451135 | 0.343166 | 0.384606 | 0.572901 |
64 | 19 | 0.554621 | 0.387097 | 0.400821 | 0.421933 | 0.389666 | 0.336055 | 0.523095 | 0.42754 |
65 | 43 | 0.733503 | 0.646672 | 0.51861 | 0.343152 | 0.315415 | 0.448588 | 0.444211 | 0.520084 |
66 | 16 | 0.647389 | 0.524462 | 0.532416 | 0.417554 | 0.320158 | 0.404969 | 0.138995 | 0.523607 |
67 | 6 | 0.306389 | 0.490012 | 0.386156 | 0.40039 | 0.405513 | 0.360952 | 0.270484 | 0.424429 |
68 | 13 | 0.238984 | 0.233967 | 0.428945 | 0.123072 | 0.124706 | 0.129119 | 0.934164 | 0.20585 |
69 | 41 | 0.593564 | 0.413915 | 0.467528 | 0.460143 | 0.307763 | 0.376662 | 0.799787 | 0.4206 |
70 | 30 | 0.623192 | 0.585683 | 0.309422 | 0.449188 | 0.379898 | 0.199511 | 0.562705 | 0.439134 |
71 | 6 | 0.751292 | 0.431051 | 0.583912 | 0.283082 | 0.318566 | 0.35138 | 0.326824 | 0.49134 |
72 | 44 | 0.291963 | 0.233961 | 0.455639 | 0.378944 | 0.23474 | 0.510187 | 0.321618 | 0.377866 |
73 | 12 | 0.30202 | 0.223744 | 0.167606 | 0.336453 | 0.270132 | 0.347508 | 0.569348 | 0.286668 |
74 | 10 | 0.588235 | 0.484571 | 0.452583 | 0.491645 | 0.382132 | 0.423119 | 0.347958 | 0.494134 |
75 | 45 | 0.671957 | 0.481506 | 0.639099 | 0.297624 | 0.44315 | 0.340537 | 0.84384 | 0.460438 |
76 | 4 | 0.331525 | 0.534272 | 0.161278 | 0.337904 | 0.383147 | 0.334502 | 0.534553 | 0.358595 |
77 | 12 | 0.3604 | 0.567111 | 0.391701 | 0.363287 | 0.433297 | 0.362204 | 0.582462 | 0.415022 |
78 | 3 | 0.683887 | 0.499941 | 0.48564 | 0.56466 | 0.444099 | 0.342416 | 0.272507 | 0.535858 |
79 | 17 | 0.246139 | 0.383349 | 0.254555 | 0.309727 | 0.294633 | 0.454167 | 0.512755 | 0.334205 |
80 | 20 | 0.249285 | 0.238791 | 0.407053 | 0.416511 | 0.281764 | 0.302192 | 0.300182 | 0.35221 |
81 | 42 | 0.773841 | 0.632079 | 0.68281 | 0.301212 | 0.47158 | 0.70332 | 0.738792 | 0.568384 |
82 | 23 | 0.899321 | 0.694801 | 0.581797 | 0.558872 | 0.500902 | 0.572129 | 0.542487 | 0.628909 |
83 | 45 | 0.335478 | 0.343285 | 0.482302 | 0.417494 | 0.464809 | 0.357459 | 0.46784 | 0.412113 |
84 | 26 | 0.463863 | 0.293142 | 0.539899 | 0.456583 | 0.232441 | 0.387867 | 0.510407 | 0.408748 |
85 | 6 | 0.53544 | 0.59119 | 0.545389 | 0.599705 | 0.584103 | 0.419382 | 0.24223 | 0.570068 |
86 | 33 | 0.252428 | 0.294743 | 0.358507 | 0.192067 | 0.358719 | 0.479008 | 0.541376 | 0.33041 |
87 | 43 | 0.367101 | 0.316416 | 0.568315 | 0.372319 | 0.319737 | 0.435061 | 0.60749 | 0.395981 |
88 | 1 | 0.683651 | 0.581539 | 0.638037 | 0.494567 | 0.405527 | 0.417114 | 0.306105 | 0.563646 |
89 | 14 | 0.202081 | 0.490694 | 0.439949 | 0.514641 | 0.427496 | 0.320388 | 0.44546 | 0.411077 |
90 | 25 | 0.565647 | 0.524396 | 0.405165 | 0.456034 | 0.437052 | 0.233251 | 0.488006 | 0.454768 |
91 | 30 | 0.864354 | 0.44881 | 0.389676 | 0.342453 | 0.3714 | 0.494253 | 0.563261 | 0.492665 |
92 | 29 | 0.762823 | 0.621756 | 0.596841 | 0.537535 | 0.510295 | 0.372817 | 0.566954 | 0.567023 |
93 | 1 | 0.387955 | 0.577939 | 0.535579 | 0.411321 | 0.402428 | 0.340856 | 0.2179 | 0.481033 |
94 | 38 | 0.277746 | 0.635675 | 0.431597 | 0.417477 | 0.486139 | 0.490054 | 0.495491 | 0.456521 |
95 | 17 | 0.565849 | 0.550928 | 0.667771 | 0.552585 | 0.424719 | 0.405008 | 0.753672 | 0.506901 |
96 | 44 | 0.854357 | 0.80836 | 0.770319 | 0.347455 | 0.477386 | 0.449126 | 0.62884 | 0.612862 |
97 | 15 | 0.394759 | 0.45622 | 0.489466 | 0.489295 | 0.350791 | 0.367522 | 0.722259 | 0.411855 |
98 | 34 | 0.46947 | 0.644473 | 0.635742 | 0.43921 | 0.580063 | 0.455606 | 0.622196 | 0.52449 |
99 | 1 | 0.655202 | 0.492317 | 0.874723 | 0.573975 | 0.523732 | 0.491559 | 0.484604 | 0.600868 |
100 | 31 | 0.82731 | 0.453102 | 0.549621 | 0.540979 | 0.530714 | 0.467514 | 0.110513 | 0.604439 |
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Fracplatform Economics Dataset
Dataset Description
Summary
Synthetic 200-row dataset for Fracplatform measurement and computational experiments.
Supported Tasks
- Economic analysis
- Platform Economics research
- Computational economics
Languages
- English (metadata and documentation)
- Python (code examples)
Dataset Structure
Data Fields
id: Unique observation idperiod: Synthetic platform periodtiering_intensity: Intensity of platform tier segmentationfeature_incompatibility: Degree of incompatibility across tiers/featuresaccess_asymmetry: Asymmetry in participant access rightsdata_partitioning: Partitioning of data visibility and transferabilityswitching_friction: Friction faced when moving across tiers/ecosystemsprice_discrimination_scope: Scope for discrimination via fragmented architectureinteroperability_capacity: Capacity for integration across internal fragmentsfracplatform_index: Composite term index
Data Splits
- Full dataset: 200 examples
Dataset Creation
Source Data
Synthetic data generated for demonstrating Fracplatform 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{fracplatform2026, title={{Fracplatform Economics Dataset}}, author={{Economic Research Collective}}, year={{2026}} }
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