AI Multi-Agent Systems Interaction Dataset, 80,000 Realistic Interactions from 2025-2026
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Description
80,000 realistic interactions between AI agents recorded between 2025 and 2026. The dataset is sourced from Kaggle and focuses on themes of energy, collaboration, and safety. The specific author, organization, and license details are not provided.
Use Cases
Training or evaluating agent collaboration protocols based on the described interaction data.
Analyzing energy consumption or efficiency patterns in multi-agent systems based on the 'energy' theme.
Developing safety frameworks or benchmarks for AI agent interactions based on the 'safe' theme.
Studying emergent communication or coordination strategies from recorded agent interactions.
Strengths
Contains 80,000 interaction records, providing a substantial sample size.
Covers a recent and defined time period from 2025 to 2026.
Explicitly targets three specific and relevant themes: energy, collaboration, and safety.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Description metadata is limited; actual data quality requires manual inspection after download.
Row count is confirmed, but file size, format, and sample data are unknown.
Provenance
Source
Kaggle
Collection Method
Likely generated from simulations or recorded from operational AI agent systems.
Time Range
2025-2026
Freshness
Data covers 2025-2026, but the last update date on the platform is unknown.
Geography
null
License is unknown; users must verify permissions before use.