nvidia/Nemotron-Science-v1
Dataset Description: Nemotron-Science-v1 is a synthetic science reasoning dataset with two subsets: an MCQA set that improves on the STEM portion of Nemotron-Post-Training-v1 using GPT-OSS-120B to generate GPQA-style questions and reasoning traces, and an RQA set of synthetic chemistry questions. This dataset is ready for commercial use. The Nemotron-Science-v1 dataset contains the following subsets: MCQA This subset is an improvement of the STEM subset in… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-Science-v1.
| Author / organization | nvidia |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 5.5K (as reported by Hugging Face) |
| Likes | 30 |
| Created | 14 December 2025 |
| Last updated at source | 15 December 2025 |
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Connected in the knowledge graph
- lmstudio-community/NVIDIA-Nemotron-3-Nano-30B-A3B-MLX-8bitModel · used to train
- unsloth/NVIDIA-Nemotron-3-Nano-30B-A3B-NVFP4Model · used to train
- mradermacher/NVIDIA-Nemotron-3-Nano-4B-BF16-GGUFModel · used to train
- nvidia/NVIDIA-Nemotron-3-Nano-4B-FP8Model · used to train
- minjaechoi/nemotron3-nano-30b-a3b-2p03bit-r22Model · used to train
- mradermacher/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16-i1-GGUFModel · used to train
- mlx-community/NVIDIA-Nemotron-3-Nano-30B-A3B-MLX-MXFP4Model · used to train
- mlx-community/NVIDIA-Nemotron-3-Nano-30B-A3B-MLX-BF16Model · used to train
- mlx-community/NVIDIA-Nemotron-3-Nano-4B-OptiQ-4bitModel · used to train
- mlx-community/NVIDIA-Nemotron-3-Nano-30B-A3B-MLX-4BitModel · used to train
- Mungert/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16-GGUFModel · used to train
- unsloth/Nemotron-3-Nano-30B-A3BModel · used to train
- lmstudio-community/NVIDIA-Nemotron-3-Nano-30B-A3B-MLX-6bitModel · used to train
- bartowski/nvidia_Nemotron-3-Nano-4B-GGUFModel · used to train
- nvidia/NVIDIA-Nemotron-3-Nano-4B-GGUFModel · used to train
- lmstudio-community/NVIDIA-Nemotron-3-Nano-30B-A3B-MLX-5bitModel · used to train
- mlx-community/NVIDIA-Nemotron-3-Nano-30B-A3B-NVFP4Model · used to train
- mlx-community/NVIDIA-Nemotron-3-Nano-30B-A3B-OptiQ-4bitModel · used to train
- mlx-community/NVIDIA-Nemotron-3-Nano-4B-4bitModel · used to train
- mradermacher/NVIDIA-Nemotron-3-Nano-4B-BF16-i1-GGUFModel · used to train
- stelterlab/NVIDIA-Nemotron-3-Nano-30B-A3B-AWQModel · used to train
- mradermacher/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16-heretic-i1-GGUFModel · used to train
- nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16Model · used to train
- mlx-community/NVIDIA-Nemotron-3-Nano-30B-A3B-MLX-8BitModel · used to train
- RedHatAI/NVIDIA-Nemotron-3-Nano-30B-A3B-FP8Model · used to train
- VAREQON/NVIDIA-Nemotron-3-Nano-4B-BF16-i1-GGUFModel · used to train
- DhruvalLabs/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16-GGUFModel · used to train
- mlx-community/NVIDIA-Nemotron-3-Nano-30B-A3B-MLX-6BitModel · used to train
- mradermacher/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16-GGUFModel · used to train
- unsloth/Nemotron-3-Nano-30B-A3B-GGUFModel · used to train
- mlx-community/NVIDIA-Nemotron-3-Nano-30B-A3B-4bitModel · used to train
- nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-NVFP4Model · used to train
- nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-FP8Model · used to train
- Ex0bit/Elbaz-NVIDIA-Nemotron-3-Nano-30B-A3B-PRISMModel · used to train
- mradermacher/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16-heretic-GGUFModel · used to train
- mlx-community/NVIDIA-Nemotron-3-Nano-4B-BF16Model · used to train
- nvidia/NVIDIA-Nemotron-3-Nano-4B-BF16Model · used to train
- lmstudio-community/NVIDIA-Nemotron-3-Nano-30B-A3B-MLX-4bitModel · used to train
- mradermacher/nemotron-nano-30b-a3b-clinical-instruct-GGUFModel · used to train
- bartowski/nvidia_Nemotron-3-Nano-30B-A3B-GGUFModel · used to train
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