MANRD-10K: Multi-Agent Network Risk Detection Data

MANRD-10K provides data for monitoring and classifying risks in multi-agent networks. The dataset is hosted on Kaggle, but its author, organization, and specific creation date are unknown. Its exact size, row count, and file formats are also unspecified.

Use Cases

• Train risk classification models based on multi-agent network monitoring data.
• Benchmark anomaly detection algorithms for agent-based networks.
• Simulate and study risk propagation within monitored multi-agent systems.

Strengths

• The dataset is explicitly designed for the specific task of multi-agent network risk detection.
• It is publicly available on a major data science platform (Kaggle).

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Kaggle