AxiomicLabs/ArithMark-2.0

ArithMark 2.0 ArithMark 2.0 is a procedurally generated benchmark for evaluating integer arithmetic ability in language models. Each item is formatted as a continuation-style multiple-choice problem: the model sees an arithmetic expression ending in = and must assign the highest likelihood to the correct numeric continuation. The benchmark is designed for base-model log-likelihood scoring. It does not require instruction following, chain-of-thought, or generated explanations.… See the full description on the dataset page: https://huggingface.co/datasets/AxiomicLabs/ArithMark-2.0.

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