Data for "The observability gradient predicts where AI benchmarks measure truth versus consensus" (NeurIPS 2026 submission)
收藏DataCite Commons2026-05-04 更新2026-05-07 收录
下载链接：
https://zenodo.org/doi/10.5281/zenodo.20029550
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资源简介：
Anonymized dataset accompanying a position paper submitted to NeurIPS 2026 (Position Paper Track). Contains MMLU per-subject accuracy data, MMLU-Pro cross-model results, FActScore entity-level data, Prolific MMLU rater study responses, and computed observability scores.
Access is restricted during the double-blind review period.
提供机构：
Zenodo
创建时间：
2026-05-04
