Datasets:
Tasks:
Tabular Classification
Modalities:
Tabular
Formats:
csv
Languages:
English
Size:
< 1K
Tags:
economics
datarift
computational-economics
platform-economics-digital-markets
emerging-terminology
License:
Search is not available for this dataset
id int64 1 200 | period int64 1 48 | data_concentration float64 0.1 1 | proprietary_signal_quality float64 0.12 1 | interoperability_gap float64 0.06 0.94 | switching_cost float64 0.13 0.78 | model_performance_delta float64 0.13 0.95 | user_lock_in float64 0.17 0.8 | portability_readiness float64 0.04 0.95 | datarift_index float64 0.3 0.83 |
|---|---|---|---|---|---|---|---|---|---|
1 | 3 | 0.551418 | 0.478826 | 0.449758 | 0.588777 | 0.125193 | 0.460893 | 0.473484 | 0.456241 |
2 | 2 | 0.721374 | 0.464776 | 0.733205 | 0.666652 | 0.299834 | 0.573888 | 0.321602 | 0.594398 |
3 | 29 | 0.723801 | 0.614085 | 0.265489 | 0.293987 | 0.443464 | 0.389315 | 0.479719 | 0.477076 |
4 | 20 | 0.595914 | 0.636177 | 0.524642 | 0.588188 | 0.462693 | 0.386499 | 0.419156 | 0.544885 |
5 | 32 | 0.532573 | 0.538597 | 0.187476 | 0.376208 | 0.490836 | 0.315621 | 0.366969 | 0.43259 |
6 | 8 | 0.870972 | 0.645478 | 0.781946 | 0.474977 | 0.631777 | 0.424019 | 0.73444 | 0.629655 |
7 | 5 | 0.957814 | 1 | 0.701639 | 0.764109 | 0.946362 | 0.612887 | 0.315053 | 0.831633 |
8 | 1 | 0.549034 | 0.677691 | 0.627681 | 0.509746 | 0.449589 | 0.406369 | 0.600546 | 0.533694 |
9 | 43 | 0.693009 | 0.512622 | 0.111562 | 0.526355 | 0.669392 | 0.377074 | 0.180752 | 0.516664 |
10 | 2 | 0.830526 | 0.320301 | 0.638987 | 0.381662 | 0.418231 | 0.675224 | 0.7205 | 0.534963 |
11 | 29 | 0.361307 | 0.680998 | 0.159038 | 0.410473 | 0.612464 | 0.369739 | 0.718965 | 0.41673 |
12 | 18 | 0.664507 | 0.346406 | 0.192035 | 0.583557 | 0.434299 | 0.501229 | 0.78935 | 0.438551 |
13 | 29 | 0.69619 | 0.341642 | 0.524288 | 0.496367 | 0.632582 | 0.540702 | 0.438481 | 0.545645 |
14 | 18 | 0.709192 | 0.546953 | 0.425414 | 0.648592 | 0.400275 | 0.60203 | 0.634098 | 0.545774 |
15 | 20 | 0.405247 | 0.436101 | 0.568515 | 0.367088 | 0.316546 | 0.448525 | 0.714105 | 0.414191 |
16 | 39 | 0.958847 | 0.861816 | 0.504519 | 0.61585 | 0.619376 | 0.743131 | 0.601205 | 0.704394 |
17 | 7 | 0.123237 | 0.508589 | 0.702655 | 0.334178 | 0.405516 | 0.337217 | 0.409939 | 0.409674 |
18 | 39 | 0.30749 | 0.450761 | 0.513431 | 0.378858 | 0.37444 | 0.232252 | 0.774455 | 0.367144 |
19 | 23 | 0.867706 | 0.608533 | 0.761076 | 0.557707 | 0.568425 | 0.483284 | 0.570364 | 0.642702 |
20 | 10 | 0.468234 | 0.650642 | 0.491001 | 0.3799 | 0.550063 | 0.417131 | 0.144199 | 0.525024 |
21 | 5 | 0.758662 | 0.575481 | 0.602558 | 0.48233 | 0.597164 | 0.46917 | 0.289201 | 0.604512 |
22 | 43 | 0.448997 | 0.509138 | 0.737938 | 0.436603 | 0.377825 | 0.424047 | 0.625534 | 0.484195 |
23 | 45 | 0.927056 | 0.648569 | 0.490796 | 0.454397 | 0.640941 | 0.577795 | 0.519929 | 0.628798 |
24 | 2 | 0.57156 | 0.750389 | 0.489003 | 0.418125 | 0.394103 | 0.52167 | 0.63241 | 0.518334 |
25 | 16 | 0.420529 | 0.500552 | 0.582582 | 0.334529 | 0.451985 | 0.465582 | 0.240739 | 0.48413 |
26 | 36 | 0.626013 | 0.48116 | 0.478045 | 0.387689 | 0.381804 | 0.434018 | 0.778225 | 0.456229 |
27 | 19 | 0.384936 | 0.467898 | 0.431392 | 0.449538 | 0.570931 | 0.425375 | 0.393528 | 0.463302 |
28 | 15 | 0.53643 | 0.466897 | 0.476151 | 0.343692 | 0.516358 | 0.302854 | 0.267575 | 0.473517 |
29 | 47 | 0.453321 | 0.397023 | 0.282478 | 0.424616 | 0.296645 | 0.410653 | 0.517269 | 0.388258 |
30 | 20 | 0.81059 | 0.790785 | 0.744631 | 0.510507 | 0.590177 | 0.281774 | 0.435777 | 0.640831 |
31 | 42 | 0.383728 | 0.442245 | 0.532885 | 0.16848 | 0.335047 | 0.395957 | 0.505285 | 0.390352 |
32 | 29 | 0.645484 | 0.650878 | 0.623937 | 0.752096 | 0.679094 | 0.456307 | 0.620998 | 0.618511 |
33 | 48 | 0.923165 | 0.534139 | 0.934686 | 0.604362 | 0.541448 | 0.477616 | 0.42782 | 0.683147 |
34 | 24 | 0.55194 | 0.697454 | 0.890071 | 0.342201 | 0.534145 | 0.342814 | 0.800807 | 0.544154 |
35 | 46 | 0.804586 | 0.632854 | 0.522343 | 0.573319 | 0.549968 | 0.666664 | 0.822136 | 0.597238 |
36 | 1 | 0.402237 | 0.4134 | 0.36488 | 0.251237 | 0.332947 | 0.301742 | 0.482397 | 0.364375 |
37 | 42 | 0.509395 | 0.123247 | 0.472871 | 0.472143 | 0.298827 | 0.436549 | 0.47676 | 0.399439 |
38 | 21 | 0.63857 | 0.478031 | 0.721848 | 0.266171 | 0.396894 | 0.21032 | 0.426338 | 0.483655 |
39 | 3 | 0.970414 | 0.586671 | 0.495785 | 0.538656 | 0.674768 | 0.582342 | 0.714796 | 0.629853 |
40 | 27 | 0.440964 | 0.475104 | 0.262546 | 0.461283 | 0.437175 | 0.39233 | 0.475441 | 0.421045 |
41 | 12 | 0.71031 | 0.559898 | 0.63693 | 0.333076 | 0.485156 | 0.321157 | 0.725693 | 0.50859 |
42 | 15 | 0.418883 | 0.385465 | 0.480688 | 0.266735 | 0.422383 | 0.480883 | 0.387981 | 0.425505 |
43 | 39 | 0.923068 | 0.607778 | 0.526581 | 0.477367 | 0.592684 | 0.682106 | 0.587035 | 0.630808 |
44 | 22 | 0.643147 | 0.515401 | 0.107588 | 0.462509 | 0.551284 | 0.371658 | 0.407693 | 0.462222 |
45 | 22 | 0.822352 | 0.539997 | 0.520072 | 0.511127 | 0.62689 | 0.494679 | 0.152458 | 0.620569 |
46 | 2 | 0.418173 | 0.492529 | 0.485224 | 0.304627 | 0.324377 | 0.316463 | 0.56115 | 0.401219 |
47 | 48 | 0.607185 | 0.609308 | 0.431745 | 0.383176 | 0.328888 | 0.617221 | 0.629183 | 0.491426 |
48 | 8 | 0.567631 | 0.461398 | 0.576465 | 0.339985 | 0.310613 | 0.583799 | 0.658274 | 0.468062 |
49 | 10 | 0.750129 | 0.738481 | 0.339037 | 0.716517 | 0.747432 | 0.516475 | 0.402776 | 0.637136 |
50 | 28 | 0.662189 | 0.653433 | 0.410619 | 0.515921 | 0.623796 | 0.553812 | 0.090977 | 0.601426 |
51 | 7 | 0.748003 | 0.703412 | 0.648559 | 0.466269 | 0.529222 | 0.52672 | 0.320279 | 0.622869 |
52 | 20 | 0.251494 | 0.340759 | 0.762991 | 0.424785 | 0.327782 | 0.28324 | 0.147247 | 0.434467 |
53 | 30 | 0.597395 | 0.629883 | 0.522431 | 0.445806 | 0.502353 | 0.379264 | 0.393938 | 0.530588 |
54 | 27 | 0.447375 | 0.262002 | 0.430382 | 0.216222 | 0.440282 | 0.240139 | 0.486275 | 0.362082 |
55 | 23 | 0.56856 | 0.583844 | 0.730588 | 0.511929 | 0.465001 | 0.355261 | 0.478755 | 0.545122 |
56 | 19 | 0.865166 | 0.574391 | 0.512302 | 0.523195 | 0.523118 | 0.435628 | 0.131332 | 0.615157 |
57 | 33 | 0.488347 | 0.337132 | 0.455866 | 0.326753 | 0.492251 | 0.31473 | 0.331439 | 0.430462 |
58 | 25 | 0.34933 | 0.59824 | 0.261436 | 0.391421 | 0.481501 | 0.349507 | 0.345189 | 0.423949 |
59 | 42 | 0.75717 | 0.448642 | 0.246007 | 0.427895 | 0.566612 | 0.423719 | 0.711177 | 0.475761 |
60 | 2 | 0.475606 | 0.253798 | 0.913884 | 0.341651 | 0.269675 | 0.317121 | 0.335245 | 0.458771 |
61 | 27 | 0.66462 | 0.685173 | 0.410697 | 0.613133 | 0.651655 | 0.689969 | 0.697315 | 0.592345 |
62 | 19 | 0.790929 | 0.488888 | 0.405341 | 0.394334 | 0.453503 | 0.418836 | 0.201988 | 0.534061 |
63 | 15 | 0.493625 | 0.395764 | 0.589443 | 0.465345 | 0.422669 | 0.573819 | 0.235262 | 0.510717 |
64 | 27 | 0.780955 | 0.628617 | 0.903396 | 0.525231 | 0.505043 | 0.420658 | 0.371554 | 0.646306 |
65 | 1 | 0.766156 | 0.486701 | 0.41491 | 0.427739 | 0.517131 | 0.735516 | 0.261457 | 0.577116 |
66 | 31 | 0.677072 | 0.589876 | 0.718314 | 0.627277 | 0.525484 | 0.524662 | 0.316224 | 0.623773 |
67 | 39 | 0.771824 | 0.672325 | 0.183861 | 0.644408 | 0.693941 | 0.607839 | 0.778406 | 0.569392 |
68 | 38 | 0.72949 | 0.670218 | 0.094727 | 0.55662 | 0.630604 | 0.451201 | 0.234442 | 0.549889 |
69 | 1 | 0.628067 | 0.636529 | 0.286608 | 0.434288 | 0.512592 | 0.429309 | 0.497785 | 0.497573 |
70 | 15 | 0.842512 | 0.541887 | 0.468693 | 0.625493 | 0.576055 | 0.511735 | 0.843947 | 0.572304 |
71 | 47 | 0.709861 | 0.691858 | 0.815101 | 0.339254 | 0.393074 | 0.384974 | 0.313445 | 0.586733 |
72 | 42 | 0.715057 | 0.751081 | 0.519054 | 0.488667 | 0.661937 | 0.594203 | 0.621472 | 0.608904 |
73 | 11 | 0.458363 | 0.47584 | 0.296096 | 0.331723 | 0.485264 | 0.351736 | 0.464493 | 0.414609 |
74 | 43 | 0.795034 | 0.711458 | 0.501649 | 0.694043 | 0.677517 | 0.541253 | 0.324869 | 0.664083 |
75 | 20 | 0.639691 | 0.746235 | 0.319896 | 0.521567 | 0.495159 | 0.456187 | 0.270388 | 0.553972 |
76 | 24 | 0.103205 | 0.353178 | 0.329115 | 0.317557 | 0.227903 | 0.359069 | 0.331962 | 0.302704 |
77 | 20 | 0.642003 | 0.771542 | 0.738319 | 0.670834 | 0.584059 | 0.553478 | 0.739146 | 0.632949 |
78 | 48 | 0.719929 | 0.576537 | 0.323045 | 0.622379 | 0.49041 | 0.529394 | 0.599043 | 0.539313 |
79 | 2 | 0.532551 | 0.56314 | 0.57162 | 0.298979 | 0.624683 | 0.313215 | 0.284479 | 0.512212 |
80 | 44 | 0.734407 | 0.509126 | 0.335793 | 0.278681 | 0.488866 | 0.265057 | 0.514273 | 0.46019 |
81 | 1 | 0.276837 | 0.397934 | 0.723985 | 0.42151 | 0.259655 | 0.280833 | 0.485305 | 0.405113 |
82 | 23 | 0.577373 | 0.399835 | 0.310787 | 0.388051 | 0.472219 | 0.526084 | 0.500349 | 0.452714 |
83 | 13 | 0.818474 | 0.619618 | 0.386526 | 0.733562 | 0.515903 | 0.404385 | 0.325937 | 0.602054 |
84 | 22 | 0.977597 | 0.711254 | 0.283513 | 0.571671 | 0.664859 | 0.413393 | 0.702378 | 0.601213 |
85 | 9 | 0.55503 | 0.442826 | 0.29958 | 0.275175 | 0.284816 | 0.320729 | 0.523586 | 0.38479 |
86 | 21 | 0.484014 | 0.457571 | 0.425525 | 0.398451 | 0.535269 | 0.491855 | 0.361702 | 0.478905 |
87 | 21 | 0.489345 | 0.531853 | 0.460886 | 0.480431 | 0.405363 | 0.354858 | 0.144887 | 0.49171 |
88 | 5 | 0.322127 | 0.459478 | 0.343015 | 0.204323 | 0.315653 | 0.189608 | 0.836703 | 0.301438 |
89 | 35 | 0.361203 | 0.483739 | 0.48746 | 0.216815 | 0.366345 | 0.257092 | 0.185621 | 0.405276 |
90 | 24 | 0.888231 | 0.561365 | 0.149089 | 0.520849 | 0.583341 | 0.561635 | 0.598318 | 0.545436 |
91 | 6 | 0.761592 | 0.960965 | 0.482056 | 0.573945 | 0.779472 | 0.423816 | 0.550473 | 0.6595 |
92 | 14 | 0.450353 | 0.558495 | 0.316759 | 0.35429 | 0.454479 | 0.474108 | 0.77265 | 0.41842 |
93 | 39 | 0.885824 | 0.88626 | 0.451261 | 0.733276 | 0.637785 | 0.582515 | 0.703878 | 0.676708 |
94 | 29 | 0.181183 | 0.363896 | 0.323396 | 0.492365 | 0.277786 | 0.365531 | 0.169977 | 0.36429 |
95 | 46 | 0.341517 | 0.381895 | 0.759409 | 0.280042 | 0.441831 | 0.369293 | 0.181007 | 0.461809 |
96 | 37 | 0.60703 | 0.485658 | 0.269057 | 0.334814 | 0.432814 | 0.482461 | 0.062649 | 0.482512 |
97 | 5 | 0.776223 | 0.452866 | 0.44642 | 0.499477 | 0.444979 | 0.532874 | 0.175308 | 0.561274 |
98 | 10 | 0.769602 | 0.471214 | 0.558948 | 0.481574 | 0.402431 | 0.484119 | 0.578929 | 0.534287 |
99 | 32 | 0.720417 | 0.515046 | 0.767888 | 0.544611 | 0.58689 | 0.77216 | 0.387654 | 0.64941 |
100 | 22 | 0.984916 | 0.8628 | 0.355777 | 0.712366 | 0.617073 | 0.685659 | 0.567792 | 0.694933 |
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Datarift Economics Dataset
Dataset Description
Summary
Synthetic 200-row dataset for Datarift measurement and computational experiments.
Supported Tasks
- Economic analysis
- Platform Economics / Digital Markets research
- Computational economics
Languages
- English (metadata and documentation)
- Python (code examples)
Dataset Structure
Data Fields
id: Unique observation idperiod: Synthetic monthly perioddata_concentration: Concentration of valuable user and transaction dataproprietary_signal_quality: Quality advantage of proprietary data signalsinteroperability_gap: Gap in data interoperability across platformsswitching_cost: User switching-friction intensitymodel_performance_delta: Performance gap attributable to data advantageuser_lock_in: Persistence of user lock-in dynamicsportability_readiness: Technical readiness for data portabilitydatarift_index: Composite term index
Data Splits
- Full dataset: 200 examples
Dataset Creation
Source Data
Synthetic data generated for demonstrating Datarift 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{datarift2026, title={{Datarift Economics Dataset}}, author={{Economic Research Collective}}, year={{2026}} }
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