Dataset Description: This dataset, Nemotron RL bixbench hypothesis also referred to as BixBench Hypothesis Train (BBH Train) is a training dataset paired to the BixBench Hypothesis benchmark created by Edison Scientific. The goal of BBH train is to improve an agentic system’s ability to accurately evaluate biological hypotheses by means of performing bioinformatics data analysis. Each instance in the dataset contains: A self contained biological hypothesis A biological dataset with which the hypothesis may be tested A protocol loosely specifying how the hypothesis should be tested A rubric to evaluate if the hypothesis was evaluated correctly (i.e. were the expected intermediate results achieved while following the protocol, and subsequently was the hypothesis correctly concluded to be true or false). To learn more about BixBench Hypothesis and BBH train, read more on Edison’s blog announcing the datasets. This dataset is ready for commercial use. Dataset Owner(s): NVIDIA Corporation Dataset Creation Date: March 16, 2026 License/Terms of Use: CC BY 4.0 Intended Usage: To be used with NeMo Gym for post training LLMs. Dataset Characterization Data Collection Method [Hybrid: Human, Sy…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy