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Dataset · Hugging Face

meta-agents-research-environments/gaia2

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… See the full description on the dataset page: https://huggingface.co/datasets/meta-agents-research-environments/gaia2.

Author / organizationmeta-agents-research-environments
License (as declared)cc-by-4.0
Downloads21.3K (as reported by Hugging Face)
Likes48
Created9 September 2025
Last updated at source25 September 2025
agent-evaluationmulti-agentbenchmarksimulated-environmenttemporal-reasoningdynamic-eventsai-assistantexecutionsearchadaptabilityambiguity
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