Open-RL is a multi-domain reasoning problem dataset released by Turing in 2026, containing independent, verifiable, and explicit STEM reasoning problems in physics, mathematics, biology, and chemistry. Each problem requires multi-step reasoning, involves symbolic operations and/or numerical computation, and has an objectively verifiable final answer. This dataset is suitable for reinforcement learning fine-tuning, reward modeling, outcome-supervised training, and verifiable reasoning benchmarking. Data Fields:

• conversation_id: A unique identifier for each question-and-answer pair
• domain: The field of study (physics, mathematics, chemistry, biology)
• sub_domain: Specific subject
• Question: STEM support for LaTeX - Problem Description
• Answer: A definitive, standard answer