| ---
|
| language:
|
| - en
|
| license: mit
|
| task_categories:
|
| - tabular-classification
|
| tags:
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| - economics
|
| - flash-fragility
|
| - computational-economics
|
| - financial-economics
|
| - emerging-terminology
|
| pretty_name: flash fragility Economics Dataset
|
| size_categories:
|
| - n<1K
|
| ---
|
|
|
| # flash fragility Economics Dataset
|
|
|
| ## Dataset Description
|
| ### Summary
|
| Synthetic 200-row dataset for `flash fragility` measurement and computational experiments.
|
|
|
| ### Supported Tasks
|
| - Economic analysis
|
| - Financial Economics research
|
| - Computational economics
|
|
|
| ### Languages
|
| - English (metadata and documentation)
|
| - Python (code examples)
|
|
|
| ## Dataset Structure
|
| ### Data Fields
|
| - `id`: Unique event id
|
| - `episode`: Synthetic microstructure episode
|
| - `latency_dispersion`: Dispersion in execution latency
|
| - `order_imbalance`: Signed order-flow imbalance
|
| - `liquidity_depth_inverse`: Inverse order book depth at top levels
|
| - `cancel_replace_ratio`: Cancel-to-replace order ratio
|
| - `volatility_spike`: Instantaneous volatility shock
|
| - `recovery_time_ms`: Time required for spread normalization
|
| - `circuit_breaker_buffer`: Remaining micro-circuit breaker headroom
|
| - `flash_fragility_index`: Composite term index
|
|
|
| ### Data Splits
|
| - Full dataset: 200 examples
|
|
|
| ## Dataset Creation
|
| ### Source Data
|
| Synthetic data generated for demonstrating flash fragility 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{flash-fragility2026,
|
| title={{flash fragility Economics Dataset}},
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| author={{Economic Research Collective}},
|
| year={{2026}}
|
| }
|
|
|
