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@@ -125,6 +125,12 @@ You can learn more about GenSelect in these papers:
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* [AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset](https://arxiv.org/abs/2504.16891)
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* [GenSelect: A Generative Approach to Best-of-N](https://openreview.net/forum?id=8LhnmNmUDb)
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## Citation
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* [AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset](https://arxiv.org/abs/2504.16891)
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* [GenSelect: A Generative Approach to Best-of-N](https://openreview.net/forum?id=8LhnmNmUDb)
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## Accessing training data
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Training data has been released! Math and code are available as part of
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[Nemotron-Post-Training-Dataset-v1](https://huggingface.co/datasets/nvidia/Nemotron-Post-Training-Dataset-v1) and science is available in
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[OpenScienceReasoning-2](https://huggingface.co/datasets/nvidia/OpenScienceReasoning-2).
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See our [documentation](https://nvidia.github.io/NeMo-Skills/releases/openreasoning/training) for more details.
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## Citation
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