Gaia2 Paper Code Project Page Dataset Summary Gaia2 is a benchmark dataset for evaluating AI agent capabilities in simulated environments. The dataset contains 800 scenarios that test agent performance in environments where time flows continuously and events occur dynamically. The dataset evaluates seven core capabilities: Execution (multi step planning and state changes), Search (information gathering and synthesis), Adaptability (dynamic response to environmental changes), Time (temporal reasoning and scheduling), Ambiguity (handling unclear or impossible tasks), Agent2Agent (multi agent collaboration), and Noise (robustness to environmental instability). The benchmark includes temporal constraints, dynamic environment events, and multi agent collaboration scenarios. Dataset Link https://huggingface.co/datasets/meta agents research environments/gaia2 Getting Started Gaia2 Evaluation Build and evaluate your agents on the Gaia2 benchmark, a comprehensive suite of 800 dynamic scenarios across 10 universes. Gaia2 Leaderboard Check the self published results from Gaia2 Benchmark runs. Gaia2 Blog Post Learn more about Gaia2 on the Hugging Face blog. Paper Read the research paper detail…
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