Mirror dataset card to README for shockgating

README.md

@@ -0,0 +1,69 @@
+---
+language:
+- en
+license: mit
+task_categories:
+- tabular-classification
+tags:
+- economics
+- shockgating
+- computational-economics
+- computational/algorithmic-economics
+- emerging-terminology
+pretty_name: Shockgating Economics Dataset
+size_categories:
+- n<1K
+---
+
+# Shockgating Economics Dataset
+
+## Dataset Description
+### Summary
+Synthetic 200-row dataset for `Shockgating` measurement and computational experiments.
+
+### Supported Tasks
+- Economic analysis
+- Computational/Algorithmic Economics research
+- Computational economics
+
+### Languages
+- English (metadata and documentation)
+- Python (code examples)
+
+## Dataset Structure
+### Data Fields
+- `id`: Unique observation id
+- `period`: Synthetic market period
+- `demand_shock_intensity`: Intensity of short-run demand shocks
+- `surge_response_amplitude`: Amplitude of algorithmic surge price response
+- `punishment_window`: Duration/intensity of post-deviation punishment pricing
+- `deviation_detection_sensitivity`: Sensitivity to rival pricing deviations
+- `coordination_signal_strength`: Strength of coordination signals in pricing patterns
+- `price_sync`: Observed synchronization in prices across competitors
+- `competitive_pressure`: Effective competitive pressure limiting coordinated behavior
+- `shockgating_index`: Composite term index
+
+### Data Splits
+- Full dataset: 200 examples
+
+## Dataset Creation
+### Source Data
+Synthetic data generated for demonstrating Shockgating 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{shockgating2026,
+title={{Shockgating Economics Dataset}},
+author={{Economic Research Collective}},
+year={{2026}}
+}