Agentic-MME: Benchmark for Multimodal Agent Tool-Use and Reasoning

Agentic-MME is a benchmark dataset featured in Hugging Face Daily Papers. It is designed to evaluate multimodal agents in tool-use, web searching, and multi-step reasoning through visual clues. The dataset was created by author Crystal1047 and last updated on 2026-04 11.

Use Cases

• Benchmarking multimodal agent performance based on tool-use tasks
• Evaluating web search capabilities of agents based on visual clues
• Testing multi-step reasoning in multimodal AI systems

Strengths

• Dataset is the official benchmark for Agentic-MME, suggesting a defined purpose
• Featured in Hugging Face Daily Papers, indicating community visibility
• Last updated on 2026-04-11, suggesting recent maintenance

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

Crystal1047 on Hugging Face

Collection Method

Method of data gathering is not described.

Time Range

Temporal coverage is not specified.

Freshness

Last updated 2026-04-11 14:34:17

Geography

Spatial coverage is not specified.