遇见数据集

oncloudai/Haumea-ARC1-Programmatic-Reasoning

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Hugging Face2026-04-29 更新2026-05-03 收录
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ARC-1(抽象与推理语料库)是一个视觉推理任务的数据集,旨在测试和评估人工智能系统的抽象和推理能力。该数据集包含一系列复杂的视觉任务,涉及几何、拓扑和逻辑推理。Haumea ARC-1 Training Solver成功解决了该数据集的400个训练任务,通过系统组合几何、拓扑和逻辑的“法则”来实现。

ARC-1 (Abstraction and Reasoning Corpus) is a dataset of visual reasoning tasks designed to test and evaluate the abstraction and reasoning capabilities of AI systems. The dataset consists of a series of complex visual tasks involving geometric, topological, and logical reasoning. The Haumea ARC-1 Training Solver successfully solves all 400 training tasks in this dataset through systematic composition of geometric, topological, and logical "laws."

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