README.md

---

language:
- en
license: mit
task_categories:
- tabular-classification
tags:
- economics
- datarift
- computational-economics
- platform-economics-digital-markets
- emerging-terminology
pretty_name: Datarift Economics Dataset
size_categories:
- n<1K
---


# Datarift Economics Dataset

## Dataset Description
### Summary
Synthetic 200-row dataset for `Datarift` measurement and computational experiments.

### Supported Tasks
- Economic analysis
- Platform Economics / Digital Markets research
- Computational economics

### Languages
- English (metadata and documentation)
- Python (code examples)

## Dataset Structure
### Data Fields
- `id`: Unique observation id
- `period`: Synthetic monthly period
- `data_concentration`: Concentration of valuable user and transaction data
- `proprietary_signal_quality`: Quality advantage of proprietary data signals
- `interoperability_gap`: Gap in data interoperability across platforms
- `switching_cost`: User switching-friction intensity
- `model_performance_delta`: Performance gap attributable to data advantage
- `user_lock_in`: Persistence of user lock-in dynamics
- `portability_readiness`: Technical readiness for data portability
- `datarift_index`: Composite term index

### Data Splits
- Full dataset: 200 examples

## Dataset Creation
### Source Data
Synthetic data generated for demonstrating Datarift 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{datarift2026,
title={{Datarift Economics Dataset}},
author={{Economic Research Collective}},
year={{2026}}
}