19,000+ labeled Ethereum transactions for detecting MEV (Maximal Extractable Value) activity. The dataset likely contains transaction records flagged for MEV-related behavior. Its provenance, author, and update date are unknown.
Use Cases
- Train ML models for MEV detection based on labeled transaction data.
- Analyze patterns of MEV activity based on transaction labels.
- Benchmark MEV detection algorithms based on a labeled dataset.
Strengths
- Dataset contains over 19,000 labeled transactions.
- Labels indicate MEV activity, providing a clear classification target.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown beyond the '19k+' estimate, which may limit suitability assessment.
- Last update date is unknown; freshness unverified.