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id
int64
1
200
session
int64
1
20
prefrontal_control
float64
-3.25
2.8
limbic_reactivity
float64
-0.62
1.25
stress_load
float64
0
1
ambiguity_level
float64
0
1
decision_time_ms
float64
525
1.6k
loss_aversion_ratio
float64
1.07
3.22
risk_premium_gap
float64
-0.13
0.27
cortexbias_index
float64
-1.67
1.23
1
6
1.565196
0.460049
0.007238
0.65699
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2.200632
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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 id
  • session: Synthetic task session
  • prefrontal_control: Deliberative control proxy
  • limbic_reactivity: Affective reactivity proxy
  • stress_load: Stress intensity
  • ambiguity_level: Decision ambiguity level
  • decision_time_ms: Decision latency (ms)
  • loss_aversion_ratio: Estimated loss aversion
  • risk_premium_gap: Gap from benchmark risk premium
  • cortexbias_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}} }

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