Nemotron-SFT-Math-v4

Nemotron-SFT-Math-v4 Dataset Description: Nemotron-SFT-Math-v4 is a large-scale mathematical reasoning dataset containing model-generated reasoning trajectories. Solutions in this version are generated using DeepSeek-V4-Pro on High inference mode. The problems in this dataset are sourced from nvidia/Nemotron-Math-v2, which contains high-quality mathematical problems derived from the Art of Problem Solving (AoPS) community and Math StackExchange/MathOverflow forums. Final answers are verified against the reference answers in nvidia/Nemotron-Math-v2. Only solutions whose final answers match the verified reference are included, resulting in a challenging, clean, and high-quality dataset suitable for training and evaluating mathematical reasoning systems. All components of the data generation pipeline are implemented using NeMo-Skills. This dataset is ready for commercial or non-commercial uses. Dataset Owner(s): NVIDIA Corporation Dataset Creation Date: Created on: 05/01/2026 Last Modified on: 05/01/2026 Version: Nemotron-SFT-Math-v4 Previous Version(s): nvidia/Nemotron-SFT-Math-v3 : Previous SFT math dataset version with similar problem sources and dataset structure. Relationship to Previous Version(s): This dataset is a direct replacement to previously released datasets. License/Terms of Use: This dataset is governed by the Creative Commons Attribution 4.0 International License (CC BY 4.0) for AoPS-derived samples, while samples derived from Math StackExchange are governed by the Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0). Intended Usage: This dataset is intended for: Training LLMs to perform structured mathematical reasoning. Studying generated reasoning trajectories and answer verification pipelines. Building long-context or multi-trajectory reasoning systems. Evaluating LLM reasoning robustness and solution diversity. Research on reasoning modes, error patterns, answer verification, and data-generation pipelines. Dataset Compo