AxiomicLabs/ArithMark

ArithMark A procedurally generated benchmark for evaluating arithmetic reasoning in language models. Each problem presents a numeric expression and asks the model to identify the correct result. Unlike knowledge-based benchmarks, ArithMark contains no facts a model could have memorised from pretraining. Every problem is generated fresh from random integers and operator sequences, so a model cannot pattern-match to training data — it must actually compute. This makes ArithMark a… See the full description on the dataset page: https://huggingface.co/datasets/AxiomicLabs/ArithMark.

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