STEM Dataset for Advanced AI Reasoning & RLHF

Sample Data

High-quality reasoning data is one of the biggest bottlenecks in training and evaluating advanced AI models. Generic datasets fall short when models are expected to reason, explain, and generalize across complex domains.

To address this, DataForce created a STEM Problem & Solution Sample Dataset designed to showcase how complex reasoning tasks can be expert-annotated, structured, and validated for real-world RLHF and evaluation workflows.

What’s included: 

• 60 expertly annotated STEM problems 
• Three disciplines: mathematics, physics, chemistry 
• Multiple difficulty levels: high school, undergraduate, graduate, PhD 
• Step-by-step solutions, not just final answers 
• Machine-readable JSON format with LaTeX, tables, and scientific notation

The dataset reflects the level of complexity required for modern AI reasoning benchmarks and scientific model evaluation. 

Fill out the form to access the STEM Problem & Solution Sample Dataset and explore how DataForce supports advanced AI reasoning at scale.