madesai/what-ai-benchmarks-actually-measure
What AI Benchmarks Actually Measure: Item-Level Model Outputs and Scores for 53 Models Item-level model responses and scores for 53 language models across the 56 benchmarks analyzed in What AI Benchmarks Actually Measure: Adapting Convergent and Discriminant Validity to Interrogate Fifty-Six AI Benchmarks (Desai et al., 2026, arxiv.org/abs/2609.08812). We do not release the prompts from the benchmark datasets, but instead refer to them by item ids. To regenerate the prompts from… See the full description on the dataset page: https://huggingface.co/datasets/madesai/what-ai-benchmarks-actually-measure.
This repository belongs to madesai on Hugging Face.
CoolFace never edits a repository it does not host. Visibility, licence, collaborators and gating are all managed at the source.
