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reasoning-efficiency-authors/reasoning_efficiency

Reasoning Efficiency Evaluation Artifact Anonymous review dataset accompanying the NeurIPS 2026 Evaluations & Datasets submission “Diagnosing Reasoning Efficiency with Trace-Optional Evaluation”. The artifact contains benchmark instances, raw visible model outputs, token/count metadata, correctness and truncation flags, native workload metadata, derived model-level metrics, and decomposition tables used by the paper. Files instances/*.jsonl.gz: benchmark prompts… See the full description on the dataset page: https://huggingface.co/datasets/reasoning-efficiency-authors/reasoning_efficiency.

sourceHugging Facecc-by-4.0updated 5mo agoView on Hugging Face

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