openeurollm/Nemotron-Post-Training-Dataset-v2-decontaminated
Decontamination This dataset is a decontaminated version of nvidia/Nemotron-Post-Training-Dataset-v2. Benchmarks used MATH500: HuggingFaceH4/MATH-500 (subset=default, split=test) AIME24: HuggingFaceH4/aime_2024 (subset=default, split=train) AIME25: math-ai/aime25 (subset=default, split=test) AMC23: math-ai/amc23 (subset=default, split=test) JEEBench: daman1209arora/jeebench (subset=default, split=test) GPQADiamond: Idavidrein/gpqa (subset=gpqa_diamond… See the full description on the dataset page: https://huggingface.co/datasets/openeurollm/Nemotron-Post-Training-Dataset-v2-decontaminated.
| Author / organization | openeurollm |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 862 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 29 March 2026 |
| Last updated at source | 29 March 2026 |
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- birgermoell/oellm-9b-256k-reasoning-tooluse-sft-v1Model · used to train
Recent changes
- 17 Oct 2026 Description: Decontamination This dataset is a decontaminated version of nvidia/Nemotron-Post-Training-Dataset-v2. Benchmarks used MATH500: HuggingFaceH4/MATH-500 (subset=default, split=test) AIME24: HuggingFaceH4/aime_2024 (subset=default, split=train) → Decontamination This dataset is a decontaminated version of nvidia/Nemotron-Post-Training-Dataset-v2. Benchmarks used MATH500: HuggingFaceH4/MATH-500 (subset=default, split=test) AIME24: HuggingFaceH4/aime_2024 (subset=default, split=train)
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