Dataset · Hugging Face

nvidia/Nemotron-Competitive-Programming-v1

Name: Nemotron-Competitive-Programming-v1
Creator: nvidia
License: cc-by-4.0
Keywords: language:en, license:cc-by-4.0, arxiv:2504.01943, arxiv:2507.09075, arxiv:2507.17797, region:us

Dataset Description: Nemotron-Competitive-Programming-v1 is a large-scale synthetic coding and reasoning dataset designed to push LLM performance on challenging programming and systems tasks. It combines Python and C++ samples across unique competitive programming questions. Beyond problem solving, the dataset includes InfiniByte, a cross-domain subset with problems derived from scientific fields. This dataset is ready for commercial use. Competitive Coding The… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-Competitive-Programming-v1.

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Author / organization	nvidia
License (as declared)	cc-by-4.0
Downloads	5.8K (as reported by Hugging Face)
Likes	33
Created	15 December 2025
Last updated at source	15 December 2025

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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-4BitModel · used to train
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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
mratsim/MiniMax-M2.5-BF16-INT4-AWQModel · 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
PursuitOfDataScience/argonne-4.5-base-ctx13568Model · used to train
nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-NVFP4Model · used to train
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mradermacher/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16-heretic-GGUFModel · used to train
PursuitOfDataScience/argonne-4.5-baseModel · used to train
mlx-community/NVIDIA-Nemotron-3-Nano-4B-BF16Model · used to train
mratsim/MiniMax-M2.5-FP8-INT4-AWQModel · 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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