Mirror dataset card to README for habitlock

README.md

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+---
+language:
+- en
+license: mit
+task_categories:
+- tabular-classification
+tags:
+- economics
+- habitlock
+- computational-economics
+- behavioral-economics
+- emerging-terminology
+pretty_name: Habitlock Economics Dataset
+size_categories:
+- n<1K
+---
+
+# Habitlock Economics Dataset
+
+## Dataset Description
+### Summary
+Synthetic 200-row dataset for `Habitlock` measurement and computational experiments.
+
+### Supported Tasks
+- Economic analysis
+- Behavioral Economics research
+- Computational economics
+
+### Languages
+- English (metadata and documentation)
+- Python (code examples)
+
+## Dataset Structure
+### Data Fields
+- `id`: Unique observation id
+- `session`: Synthetic decision session
+- `behavior_persistence`: Observed persistence in repeated behavior
+- `incentive_decay`: Decay of original monetary/non-monetary incentive strength
+- `switching_friction`: Friction associated with changing established behavior
+- `cue_dependence`: Dependence on contextual cues and routines
+- `reinforcement_memory`: Memory strength of past reinforcement
+- `default_exposure`: Exposure to default-option repetition
+- `deliberative_override`: Capacity for reflective override of habit
+- `habitlock_index`: Composite term index
+
+### Data Splits
+- Full dataset: 200 examples
+
+## Dataset Creation
+### Source Data
+Synthetic data generated for demonstrating Habitlock 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{habitlock2026,
+title={{Habitlock Economics Dataset}},
+author={{Economic Research Collective}},
+year={{2026}}
+}