Datasets › ArcBench

ArcBench

Introduced by Humza Sami et al. in Adaptive Multi-Agent Reasoning via Automated Workflow Generation18 Jul 2025 archive 2025-07-28

ArcBench is a logically challenging dataset of 158 English question–answer pairs, derived from the RoR-Bench benchmark. It targets deductive and multi-step reasoning in LLMs and multi-agent systems. The dataset was curated by translating original riddles into accessible English, removing multi-modal complexities, and validating each pair through automated reasoning workflows (e.g., Nexus Architect). ArcBench supports evaluation of reasoning performance, workflow refinement with feedback loops, comparative analysis of language models, and prompt-engineering research.

Benchmarks archive 2025-07-28

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Papers archive 2025-07-28

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Dataset loaders archive 2025-07-28

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Tasks archive 2025-07-28

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License archive 2025-07-28

Apache 2.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • ArcBench

1 variant name, as the archive lists them.

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