Datasets:

EconomicTermDevelopments
/

skillrift-economics

id int64 1 200	quarter int64 1 56	demand_shift_speed float64 0.16 0.98	training_gap float64 0.22 0.89	vacancy_skill_intensity float64 0.15 0.76	worker_reskilling_rate float64 0.03 0.92	education_alignment_gap float64 0.15 0.67	productivity_loss float64 0.1 0.68	mobility_support float64 0.06 0.89	skillrift_index float64 0.28 0.73
1	4	0.628881	0.546584	0.317854	0.73975	0.453639	0.497821	0.385775	0.471261
2	13	0.462121	0.469298	0.449733	0.670497	0.364404	0.228389	0.809925	0.379372
3	52	0.69971	0.532903	0.639161	0.449923	0.670794	0.681611	0.566151	0.611559
4	53	0.650714	0.723182	0.515529	0.389775	0.482412	0.425964	0.526052	0.571787
5	55	0.182535	0.545023	0.339424	0.392021	0.341245	0.245109	0.294209	0.404036
6	46	0.930471	0.621195	0.739375	0.498306	0.497739	0.538985	0.862075	0.613233
7	53	0.506454	0.598435	0.382769	0.092758	0.361819	0.634624	0.316367	0.568637
8	43	0.471406	0.483584	0.50478	0.452803	0.340335	0.252103	0.259279	0.466427
9	20	0.462609	0.370107	0.549302	0.748732	0.368769	0.261186	0.407737	0.403306
10	17	0.520805	0.413037	0.474898	0.389393	0.392404	0.139351	0.383477	0.450541
11	25	0.69037	0.538164	0.352837	0.685318	0.417751	0.293865	0.341799	0.468051
12	4	0.697199	0.446377	0.370762	0.277221	0.471017	0.508754	0.292414	0.549954
13	37	0.523791	0.590723	0.475484	0.687532	0.265697	0.257782	0.421151	0.434875
14	3	0.613365	0.572437	0.406703	0.378694	0.462348	0.441171	0.684271	0.508427
15	20	0.786193	0.553423	0.721839	0.801563	0.510095	0.516692	0.448769	0.561921
16	7	0.256217	0.441241	0.265392	0.645358	0.20886	0.119816	0.234201	0.322537
17	30	0.795772	0.609151	0.501051	0.441207	0.326202	0.304724	0.687167	0.518547
18	12	0.764922	0.476079	0.428799	0.464915	0.245955	0.09589	0.506315	0.452335
19	30	0.583327	0.460764	0.338703	0.330925	0.352276	0.15895	0.755156	0.42378
20	32	0.662726	0.348168	0.456519	0.296794	0.558089	0.415061	0.659967	0.508595
21	8	0.452485	0.615918	0.548509	0.432894	0.600243	0.526354	0.444371	0.551116
22	55	0.769132	0.843363	0.545895	0.367407	0.369951	0.246177	0.423281	0.593627
23	1	0.676522	0.351462	0.353259	0.527777	0.37502	0.377571	0.537576	0.442475
24	10	0.884265	0.583795	0.547592	0.660962	0.327365	0.292437	0.387052	0.52929
25	49	0.7041	0.525557	0.443081	0.188539	0.419837	0.4176	0.877481	0.524527
26	28	0.445113	0.411605	0.351206	0.791946	0.499959	0.513927	0.425252	0.417175
27	21	0.493925	0.585082	0.430519	0.592685	0.392814	0.34687	0.348861	0.468838
28	25	0.586985	0.424966	0.415189	0.352905	0.508068	0.506409	0.251414	0.530961
29	49	0.805179	0.846044	0.67834	0.654921	0.526047	0.397212	0.850896	0.587306
30	23	0.886272	0.545516	0.519444	0.275092	0.496609	0.472912	0.612789	0.599571
31	27	0.797103	0.518845	0.44744	0.514031	0.463984	0.427503	0.46423	0.535616
32	7	0.883255	0.604703	0.56374	0.54197	0.407462	0.444973	0.427344	0.578409
33	45	0.837934	0.654873	0.602537	0.395753	0.345226	0.466893	0.430019	0.599663
34	54	0.648313	0.520622	0.554147	0.484186	0.507497	0.437073	0.355	0.546384
35	8	0.783174	0.714231	0.433935	0.575463	0.464076	0.336152	0.574951	0.53771
36	23	0.567562	0.534957	0.492037	0.662633	0.448804	0.414037	0.691642	0.461596
37	18	0.758294	0.688203	0.358806	0.665965	0.401689	0.493798	0.750902	0.499963
38	35	0.444008	0.592963	0.538008	0.297841	0.456433	0.6093	0.178136	0.573804
39	26	0.399617	0.500369	0.5013	0.632419	0.347746	0.369398	0.751331	0.406573
40	11	0.760688	0.624749	0.585419	0.343092	0.241896	0.413407	0.206873	0.581937
41	27	0.880812	0.434913	0.498141	0.447678	0.579848	0.510705	0.729953	0.557925
42	10	0.642534	0.449344	0.286112	0.571067	0.422773	0.263862	0.609823	0.424432
43	56	0.824431	0.549619	0.447211	0.811931	0.350081	0.303694	0.748796	0.450763
44	10	0.763636	0.777227	0.563468	0.375449	0.486632	0.442916	0.185495	0.641386
45	7	0.768488	0.596632	0.607586	0.593561	0.445642	0.368844	0.811642	0.521557
46	52	0.798575	0.580929	0.46865	0.42164	0.431265	0.292069	0.854177	0.511356
47	52	0.440795	0.514753	0.321106	0.63482	0.381656	0.251446	0.297576	0.4143
48	46	0.381955	0.473156	0.548133	0.713322	0.272171	0.336499	0.642391	0.388849
49	28	0.607923	0.412899	0.225986	0.625766	0.446706	0.365339	0.607164	0.410105
50	51	0.533171	0.50085	0.460378	0.752221	0.261097	0.361176	0.477437	0.416173
51	14	0.636576	0.728008	0.569002	0.40214	0.471714	0.255162	0.609185	0.54829
52	44	0.438956	0.283498	0.369256	0.470112	0.27711	0.166595	0.883712	0.331397
53	22	0.686331	0.575517	0.663598	0.630192	0.529115	0.18985	0.232783	0.543317
54	31	0.636742	0.713128	0.495328	0.070797	0.277294	0.351631	0.361557	0.58441
55	34	0.721026	0.76191	0.43795	0.229201	0.520964	0.339988	0.510915	0.597773
56	41	0.695144	0.719753	0.487949	0.205859	0.522623	0.534564	0.337669	0.634234
57	49	0.870969	0.568851	0.514994	0.65117	0.493993	0.235748	0.477898	0.52962
58	4	0.580268	0.418464	0.524658	0.489796	0.441771	0.528919	0.560968	0.495586
59	1	0.734819	0.504121	0.448302	0.327199	0.480323	0.561274	0.499998	0.563528
60	31	0.456469	0.67411	0.375195	0.694318	0.488515	0.315318	0.665565	0.439316
61	28	0.899092	0.71018	0.542414	0.456954	0.429027	0.547351	0.361676	0.629293
62	28	0.795475	0.639555	0.641266	0.576136	0.487957	0.377795	0.298207	0.590042
63	50	0.53687	0.497848	0.476344	0.80693	0.40335	0.233997	0.422917	0.420209
64	16	0.32553	0.488135	0.356277	0.251284	0.438789	0.326895	0.269824	0.467356
65	37	0.772196	0.687328	0.587219	0.66348	0.648108	0.404473	0.481652	0.584522
66	41	0.401539	0.445923	0.509229	0.281316	0.463716	0.449428	0.754268	0.473146
67	6	0.641209	0.810561	0.613693	0.564108	0.389609	0.328685	0.529272	0.55218
68	36	0.717205	0.646203	0.441017	0.188043	0.445198	0.248205	0.563556	0.556678
69	36	0.843901	0.737959	0.763174	0.110707	0.630051	0.430255	0.325373	0.725151
70	12	0.779056	0.807312	0.557616	0.24711	0.419494	0.370504	0.545426	0.619725
71	29	0.71648	0.663188	0.473659	0.115675	0.536473	0.381167	0.329689	0.622402
72	30	0.663782	0.421935	0.509711	0.575517	0.449848	0.457799	0.72327	0.476463
73	53	0.588026	0.730159	0.593946	0.517695	0.322094	0.375072	0.360878	0.541059
74	13	0.607842	0.451123	0.303152	0.310335	0.421179	0.27977	0.357704	0.479592
75	10	0.486377	0.571052	0.395591	0.293535	0.51433	0.32267	0.730109	0.484855
76	30	0.349113	0.343333	0.238117	0.526505	0.156261	0.314758	0.112349	0.359688
77	1	0.529395	0.647616	0.459784	0.224161	0.575664	0.40261	0.298153	0.579099
78	32	0.78152	0.894658	0.53176	0.566217	0.451691	0.190735	0.617296	0.564265
79	9	0.596153	0.505665	0.290165	0.813051	0.290224	0.338248	0.281931	0.409593
80	1	0.826105	0.646655	0.546802	0.406209	0.501567	0.237361	0.44818	0.578564
81	49	0.556092	0.686753	0.489466	0.642008	0.400284	0.427316	0.21397	0.522346
82	7	0.302885	0.468135	0.178631	0.339748	0.306176	0.283163	0.482778	0.378022
83	42	0.810881	0.653872	0.502225	0.490347	0.563831	0.53646	0.219311	0.62113
84	4	0.49855	0.61816	0.506283	0.366301	0.435724	0.417647	0.309466	0.537093
85	33	0.317928	0.46247	0.180495	0.292828	0.189264	0.162181	0.815095	0.329106
86	7	0.508182	0.361227	0.368665	0.58777	0.475102	0.52074	0.844	0.414675
87	17	0.829041	0.685374	0.519475	0.404509	0.440968	0.295307	0.36601	0.586971
88	49	0.296776	0.511639	0.408576	0.336585	0.383791	0.183864	0.358265	0.430898
89	43	0.730979	0.487414	0.383523	0.611751	0.421944	0.222615	0.859798	0.432031
90	5	0.575945	0.594933	0.431367	0.160967	0.564113	0.590183	0.152848	0.614811
91	16	0.161753	0.498702	0.481484	0.297565	0.41871	0.403161	0.436471	0.446341
92	27	0.784281	0.473352	0.29268	0.23107	0.406483	0.174338	0.526651	0.496549
93	32	0.389548	0.794251	0.24241	0.251478	0.510373	0.336571	0.776041	0.48642
94	53	0.431095	0.581111	0.409718	0.028907	0.490605	0.195908	0.591704	0.508562
95	30	0.507502	0.364702	0.486103	0.5819	0.211198	0.312109	0.810812	0.375463
96	16	0.828655	0.678531	0.60746	0.754422	0.516247	0.614364	0.398314	0.597001
97	16	0.593656	0.624235	0.445139	0.514414	0.450134	0.505483	0.73063	0.503651
98	23	0.372322	0.529952	0.1454	0.386174	0.37358	0.113282	0.678289	0.363241
99	38	0.45809	0.554864	0.284555	0.24406	0.41674	0.260735	0.313934	0.478209
100	23	0.882426	0.567927	0.423977	0.75632	0.477491	0.386613	0.362472	0.52726

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Skillrift Economics Dataset

Dataset Description

Summary

Synthetic 200-row dataset for Skillrift measurement and computational experiments.

Supported Tasks

Economic analysis
Labor Economics research
Computational economics

Languages

English (metadata and documentation)
Python (code examples)

Dataset Structure

Data Fields

id: Unique observation id
quarter: Synthetic labor-market quarter
demand_shift_speed: Speed of change in demanded occupational skills
training_gap: Gap between required and available training provision
vacancy_skill_intensity: Skill intensity requirements in open vacancies
worker_reskilling_rate: Rate of effective worker reskilling
education_alignment_gap: Gap between formal education outputs and market needs
productivity_loss: Productivity loss attributable to skill mismatch
mobility_support: Institutional support for labor mobility and transition
skillrift_index: Composite term index

Data Splits

Full dataset: 200 examples

Dataset Creation

Source Data

Synthetic data generated for demonstrating Skillrift 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{skillrift2026, title={{Skillrift Economics Dataset}}, author={{Economic Research Collective}}, year={{2026}} }

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