Datasets:

EconomicTermDevelopments
/

datascope-economies-economics

id int64 1 200	period int64 1 24	platform_scale float64 4.19k 37.3k	data_variety float64 0.2 1	cross_service_linkage float64 0.2 0.98	integration_cost float64 1.3 10.7	compute_efficiency float64 0.31 1	model_performance_gain float64 0.13 0.64	marginal_data_value float64 0.11 0.69	datascope_economies_index float64 0.3 0.77
1	19	14,878.971402	0.753971	0.501482	3.783392	0.764268	0.386341	0.396082	0.583828
2	3	13,042.513596	0.776927	0.613534	5.985354	0.930774	0.42686	0.411103	0.594406
3	10	14,731.087619	0.54314	0.658578	5.421517	0.54603	0.337229	0.399599	0.513924
4	15	12,874.187557	0.545443	0.539034	8.036349	0.348545	0.230777	0.242004	0.386846
5	12	22,082.076553	0.365353	0.745073	3.33231	0.346554	0.290537	0.360994	0.526811
6	4	8,476.618211	0.285054	0.840966	2.275358	0.68389	0.342843	0.292516	0.525501
7	2	4,187.127679	0.251304	0.259743	3.417914	0.352803	0.125371	0.197098	0.300745
8	20	11,562.687325	0.21994	0.915163	5.442502	0.874787	0.357484	0.306303	0.521212
9	10	11,444.360646	0.334551	0.802245	4.474335	0.41734	0.337878	0.411141	0.483654
10	17	10,297.860644	0.233876	0.615387	3.023529	0.605158	0.286178	0.32859	0.46001
11	22	13,350.407522	0.365236	0.411915	3.11189	0.452608	0.219282	0.219792	0.418814
12	1	13,651.76637	0.794332	0.483424	3.705798	0.316663	0.34246	0.313564	0.504448
13	1	12,289.856259	0.685808	0.739738	1.64618	0.305575	0.424692	0.505614	0.588013
14	4	16,029.246612	0.80187	0.657843	4.542637	0.89597	0.528344	0.466413	0.648023
15	4	14,414.23417	0.762414	0.509331	2.481704	0.506786	0.412701	0.397235	0.56741
16	15	16,069.988011	0.542182	0.577993	6.344331	0.694618	0.30066	0.30995	0.497726
17	9	9,774.393372	0.223617	0.202814	1.551212	0.459133	0.23145	0.253298	0.36349
18	6	9,023.419702	0.974744	0.930724	2.479809	0.777155	0.643844	0.657026	0.749257
19	20	12,518.471663	0.578698	0.701725	5.638675	0.382576	0.304753	0.372387	0.487546
20	12	12,413.140901	0.721269	0.760533	4.612128	0.434381	0.438081	0.40415	0.556346
21	18	11,925.935495	0.240704	0.941896	3.500805	0.829238	0.363043	0.289471	0.55415
22	11	19,461.873402	0.915476	0.58796	6.742211	0.453228	0.345597	0.341841	0.551956
23	18	13,897.846313	0.410415	0.929114	8.450919	0.624559	0.362838	0.307024	0.487004
24	3	9,430.702988	0.560597	0.82052	5.516453	0.688594	0.383753	0.34212	0.537002
25	20	12,970.044728	0.429684	0.825184	8.513187	0.65343	0.238495	0.19568	0.452494
26	21	14,554.108934	0.62103	0.648438	5.332321	0.74003	0.419081	0.344828	0.548987
27	2	5,875.594424	0.204044	0.579617	2.586832	0.787852	0.346478	0.411984	0.473749
28	21	5,487.213439	0.816502	0.386418	2.353326	0.609243	0.412858	0.433234	0.535981
29	15	8,989.084389	0.553514	0.743882	3.176355	0.876331	0.494011	0.555117	0.615903
30	19	11,409.157004	0.933813	0.975519	2.980799	0.600946	0.587307	0.640058	0.723838
31	22	10,493.053888	0.699637	0.733505	1.808651	0.609629	0.446327	0.536058	0.62895
32	22	19,732.086867	0.886141	0.84661	5.122076	0.694288	0.445517	0.344745	0.661629
33	18	12,642.052988	0.56824	0.890773	3.372962	0.370224	0.392899	0.436966	0.568004
34	9	9,171.642917	0.635387	0.332743	3.742295	0.908089	0.392766	0.441054	0.529454
35	16	13,645.383946	0.530798	0.629446	3.892826	0.534006	0.292504	0.248459	0.500753
36	5	7,424.444798	0.771258	0.666366	1.615794	0.486943	0.457013	0.435982	0.585607
37	23	37,256.790713	0.755862	0.814132	1.587338	0.316094	0.404256	0.444155	0.723452
38	16	7,867.80028	0.930048	0.515515	1.680905	0.380862	0.428388	0.540585	0.58794
39	5	12,025.406582	0.24209	0.633867	1.301579	0.898805	0.343816	0.36598	0.550463
40	9	12,535.909271	0.827968	0.939324	6.149106	0.913181	0.527998	0.557738	0.684204
41	16	10,455.204375	0.354918	0.728419	1.933331	0.893748	0.423069	0.451601	0.586767
42	21	13,919.498037	0.864511	0.764575	1.822994	0.543585	0.463764	0.518512	0.670912
43	19	12,768.213311	0.415228	0.890608	2.146984	0.751724	0.469351	0.47662	0.62078
44	9	20,423.017491	0.803767	0.854044	6.830911	0.312012	0.420709	0.409044	0.574666
45	5	9,767.431761	0.77979	0.766941	3.649025	0.651757	0.514159	0.573956	0.630858
46	1	19,408.190654	0.809372	0.834973	3.65626	0.796348	0.510946	0.450883	0.697222
47	18	13,674.856394	0.440896	0.616444	5.924597	0.638332	0.247458	0.276012	0.467495
48	16	17,342.946347	0.671544	0.922361	5.996324	0.346833	0.369049	0.332091	0.554982
49	5	22,372.574776	0.250593	0.818282	3.516474	0.382329	0.271996	0.294122	0.512199
50	4	15,884.878813	0.640198	0.912491	5.246309	0.706002	0.500868	0.489273	0.629609
51	7	13,607.635137	0.935542	0.700756	6.128068	0.710828	0.456354	0.506092	0.625104
52	2	4,693.164529	0.851096	0.777892	3.797341	0.979867	0.591638	0.580754	0.67215
53	1	16,815.344242	0.526372	0.831664	5.850018	0.654134	0.410367	0.427298	0.568138
54	24	12,335.398731	0.779561	0.877576	10.652342	0.801326	0.417825	0.409891	0.55007
55	8	12,633.7762	0.975274	0.915472	2.879003	0.803328	0.580012	0.661284	0.76085
56	21	18,083.987051	0.284761	0.440847	2.142455	0.518847	0.211387	0.203384	0.453002
57	11	13,861.402448	0.891619	0.96478	1.824307	0.696371	0.618898	0.56257	0.745617
58	24	18,212.628379	0.897715	0.864442	2.594611	0.732792	0.532662	0.535671	0.735577
59	21	11,754.023003	0.252259	0.774039	1.913399	0.590491	0.3635	0.339146	0.519213
60	24	7,743.380876	0.202967	0.441779	2.153269	0.755899	0.269847	0.268837	0.435128
61	17	26,417.573336	0.987155	0.410136	3.588819	0.601516	0.384861	0.395036	0.643085
62	20	8,145.790986	0.94905	0.855716	4.626264	0.506254	0.504341	0.493659	0.625563
63	6	9,557.255935	0.702091	0.765729	3.871806	0.986028	0.470696	0.437966	0.640291
64	5	16,608.653017	0.250804	0.468678	3.319315	0.349981	0.154894	0.113836	0.387444
65	10	10,790.62523	0.756018	0.726724	3.680994	0.758087	0.449953	0.436811	0.617566
66	3	18,370.121605	0.210194	0.576746	4.309961	0.696719	0.300269	0.26813	0.468189
67	11	7,232.968833	0.549656	0.605662	4.689185	0.46364	0.288914	0.338012	0.460785
68	20	20,696.232847	0.235439	0.835435	6.343178	0.710109	0.291954	0.226859	0.498729
69	15	11,355.5615	0.658038	0.714073	2.399879	0.795231	0.497887	0.45351	0.62663
70	10	10,928.653318	0.364143	0.624101	5.778562	0.685809	0.288547	0.297002	0.453832
71	2	13,230.62543	0.887813	0.785463	2.150395	0.769595	0.565592	0.550325	0.710047
72	7	9,379.018608	0.780762	0.818619	6.70237	0.924606	0.464685	0.525455	0.624298
73	24	13,499.895746	0.464531	0.657171	9.850791	0.899788	0.280384	0.334143	0.46453
74	3	14,323.894336	0.958146	0.818138	4.15839	0.961455	0.556851	0.693765	0.753692
75	23	10,309.453807	0.365067	0.439385	6.473363	0.464475	0.16853	0.212302	0.357214
76	8	19,781.108944	0.737671	0.816923	3.149271	0.409937	0.420864	0.445427	0.630316
77	17	10,209.736998	0.25482	0.559539	1.861309	0.40383	0.242946	0.164331	0.416435
78	13	7,068.900622	0.642841	0.71451	4.876973	0.376527	0.343333	0.380243	0.490702
79	24	10,584.536852	0.932657	0.694405	8.890169	0.986352	0.45715	0.478614	0.602443
80	4	10,717.711349	0.577268	0.960807	6.513508	0.865318	0.515454	0.460242	0.602464
81	7	8,265.873439	0.883279	0.472273	2.867147	0.470966	0.382225	0.344119	0.53676
82	2	10,251.057726	0.467649	0.964201	2.7729	0.670204	0.456914	0.466974	0.61085
83	12	12,331.129448	0.617264	0.938249	4.099662	0.556122	0.462713	0.549371	0.618982
84	17	6,730.106311	0.268602	0.630308	6.735251	0.653807	0.238996	0.347056	0.404282
85	17	12,557.215601	0.246939	0.65201	4.902919	0.394535	0.199134	0.251692	0.406919
86	8	6,789.635456	0.753688	0.755209	2.429774	0.345656	0.4109	0.330581	0.546922
87	2	10,471.003384	0.688988	0.602838	5.2413	0.313494	0.344944	0.355039	0.473949
88	21	10,102.562147	0.240784	0.920186	4.120077	0.630278	0.345307	0.382865	0.515784
89	14	11,784.138183	0.463578	0.85763	2.228984	0.963998	0.490039	0.544937	0.660164
90	5	22,935.355246	0.707321	0.951345	7.280839	0.619044	0.41863	0.389488	0.622137
91	16	11,674.468016	0.499483	0.42511	2.427049	0.546622	0.277516	0.30803	0.479024
92	15	18,441.716396	0.88466	0.258226	4.319201	0.371286	0.298178	0.279216	0.492403
93	15	5,440.904516	0.813559	0.643782	7.196909	0.370708	0.304782	0.322937	0.456632
94	12	7,634.006852	0.769472	0.725305	3.907323	0.729115	0.473469	0.458053	0.600865
95	23	6,874.08602	0.398546	0.837561	6.169394	0.996727	0.384541	0.448438	0.548097
96	2	10,016.247606	0.740797	0.646412	3.910832	0.587636	0.371643	0.422963	0.563616
97	12	14,657.743675	0.349297	0.666442	4.277681	0.730751	0.271507	0.313267	0.509503
98	11	9,015.262845	0.78256	0.901027	3.85965	0.472915	0.464906	0.60466	0.629218
99	18	9,453.718535	0.265483	0.603378	1.360377	0.861363	0.363969	0.281418	0.518135
100	19	11,192.470056	0.366806	0.902918	2.854382	0.82653	0.428957	0.428868	0.599121

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datascope economies Economics Dataset

Dataset Description

Summary

Synthetic 200-row dataset for datascope economies measurement and computational experiments.

Supported Tasks

Economic analysis
Industrial Organization research
Computational economics

Languages

English (metadata and documentation)
Python (code examples)

Dataset Structure

Data Fields

id: Unique observation id
period: Synthetic monthly period
platform_scale: Scale proxy from user activity
data_variety: Breadth of integrated domains
cross_service_linkage: Strength of cross-domain linkage
integration_cost: Integration cost proxy
compute_efficiency: Pipeline efficiency
model_performance_gain: Predictive gain from integration
marginal_data_value: Marginal value of additional data
datascope_economies_index: Composite term index

Data Splits

Full dataset: 200 examples

Dataset Creation

Source Data

Synthetic data generated for demonstrating datascope economies 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{datascope-economies2026, title={{datascope economies Economics Dataset}}, author={{Economic Research Collective}}, year={{2026}} }

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