metadata
language:
- en
license: mit
task_categories:
- tabular-classification
tags:
- economics
- cortexbias
- computational-economics
- neuroeconomics
- emerging-terminology
pretty_name: Cortexbias Economics Dataset
size_categories:
- n<1K
Cortexbias Economics Dataset
Dataset Description
Summary
Synthetic 200-row dataset for Cortexbias measurement and computational experiments.
Supported Tasks
- Economic analysis
- Neuroeconomics research
- Computational economics
Languages
- English (metadata and documentation)
- Python (code examples)
Dataset Structure
Data Fields
id: Unique observation idsession: Synthetic task sessionprefrontal_control: Deliberative control proxylimbic_reactivity: Affective reactivity proxystress_load: Stress intensityambiguity_level: Decision ambiguity leveldecision_time_ms: Decision latency (ms)loss_aversion_ratio: Estimated loss aversionrisk_premium_gap: Gap from benchmark risk premiumcortexbias_index: Composite term index
Data Splits
- Full dataset: 200 examples
Dataset Creation
Source Data
Synthetic data generated for demonstrating Cortexbias 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{cortexbias2026, title={{Cortexbias Economics Dataset}}, author={{Economic Research Collective}}, year={{2026}} }