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.
Conversations for this repository live on Hugging Face.
CoolFace shows imported repositories read-only. Posting into someone else’s repository from here would need an authorised integration and the account holder’s consent, so the link goes to the source instead.
Open discussions on Hugging Face