Mirror dataset card to README for skillrift

README.md

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+---
+language:
+- en
+license: mit
+task_categories:
+- tabular-classification
+tags:
+- economics
+- skillrift
+- computational-economics
+- labor-economics
+- emerging-terminology
+pretty_name: Skillrift Economics Dataset
+size_categories:
+- n<1K
+---
+
+# 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}}
+}