datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
bnqmark-20
BNqMark-20
BNqMark-20 is a benchmark dataset for evaluating Large Language Models (LLMs) on exact probabilistic inference in discrete Bayesian Networks. It isolates probabilistic computation from linguistic interpretation by giving models complete conditional probability table (CPT) specifications and asking them to answer conditional probability queries.
The dataset includes 78 Bayesian networks with 4-20 binary variables, 434 conditional probability queries, and 7,812 LLM… See the full description on the dataset page: https://huggingface.co/datasets/ferjorosa/bnqmark-20.HumanAgencyBench_results
Full HumanAgencyBench results using GPT 4.1 generated prompts and o3 as evaluator
Dataset Description
This dataset contains comprehensive evaluation results from testing 25 different language models across 6 areas of behaviours critical for human agency support. Each model was evaluated on 3,000 prompts (500 per category), resulting in 75,000 total evaluations designed to assess model behavior in scenarios relevant to human agency.
Dataset Summary
Total… See the full description on the dataset page: https://huggingface.co/datasets/ferocious-aardvark/HumanAgencyBench_results.