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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01nvidia /Nemotron-Cascade-2-SFT-Data Nemotron-Cascade-2-SFT-Data We release the SFT data used for training Nemotron-Cascade-2. Data sources Math Our non-proof math prompts are sourced from Nemotron-Cascade-1-SFT and Nemotron-Math-v2, with responses generated by DeepSeek-V3.2, DeepSeek-V3.2-Speciale, and GPT-OSS-120B. For mathematical proofs, prompts are taken from Nemotron-Math-Proofs-v1 and generated using DeepSeek-V3.2-Speciale. Science We collect science prompts from… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-Cascade-2-SFT-Data.text10M<n<100M75 likes7k downloads6mo agoHugging Face02nvidia /Nemotron-Cascade-SFT-Stage-2 Nemotron-Cascade-SFT-Stage-2 Supervised fine-tuning (SFT) for Nemotron-Cascade is performed in two stages. The Stage-1 SFT focuses on the math, code, science, and general domains, leveraging a broad and diverse collection of data sources. The Stage-2 SFT further expands coverage to include math, code, science, tool calling, software engineering (SWE), instruction following, and general domains. In Stage-2, the math domain leverages questions from OpenMathReasoning. The code domain… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-Cascade-SFT-Stage-2.text1M<n<10M18 likes1.1k downloads9mo agoHugging Face03nvidia /Nemotron-Cascade-2-RL-data Dataset Description: The Nemotron-Cascade-2-RL dataset is a curated reinforcement learning (RL) dataset blend used to train Nemotron-Cascade-2-30B-A3B model. It includes instruction-following RL, multi-domain RL, on-policy distillation, and software engineering RL (SWE-RL) data. This dataset is ready for commercial use. The dataset contains the following subset: IF-RL Contains 45,879 training samples for instruction-following RL. Our curation process mainly… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-Cascade-2-RL-data.tabular10K<n<100K52 likes939 downloads6mo agoHugging Face04BrunoN-Dev /Nemotron-Cascade-2-SFT-Data Nemotron-Cascade-2-SFT-Data We release the SFT data used for training Nemotron-Cascade-2. Data sources Math Our non-proof math prompts are sourced from Nemotron-Cascade-1-SFT and Nemotron-Math-v2, with responses generated by DeepSeek-V3.2, DeepSeek-V3.2-Speciale, and GPT-OSS-120B. For mathematical proofs, prompts are taken from Nemotron-Math-Proofs-v1 and generated using DeepSeek-V3.2-Speciale. Science We collect science prompts from… See the full description on the dataset page: https://huggingface.co/datasets/BrunoN-Dev/Nemotron-Cascade-2-SFT-Data.text10M<n<100M0 likes69 downloads2mo agoHugging Face05febcheema /Nemotron-Cascade-2-SFT-Data Nemotron-Cascade-2-SFT-Data We release the SFT data used for training Nemotron-Cascade-2. Data sources Math Our non-proof math prompts are sourced from Nemotron-Cascade-1-SFT and Nemotron-Math-v2, with responses generated by DeepSeek-V3.2, DeepSeek-V3.2-Speciale, and GPT-OSS-120B. For mathematical proofs, prompts are taken from Nemotron-Math-Proofs-v1 and generated using DeepSeek-V3.2-Speciale. Science We collect science prompts from… See the full description on the dataset page: https://huggingface.co/datasets/febcheema/Nemotron-Cascade-2-SFT-Data.text10M<n<100M0 likes55 downloads1mo agoHugging Face06MaziyarPanahi /Nemotron-Cascade-2-SFT-Data-Small Nemotron-Cascade-2-SFT-Data-Small A 20% random sample of nvidia/Nemotron-Cascade-2-SFT-Data, merged into a single train split with 4,898,804 rows. Subsets included (all merged) Original subset Files sampled ~Rows sampled math math_notool, math_proof, math_tool ~1,045,266 science science ~544,383 chat chat_part_1 – chat_part_4 ~2,794,866 instruction_following instruction_following ~163,869 safety safety ~693 conversational_agent conversational_agent… See the full description on the dataset page: https://huggingface.co/datasets/MaziyarPanahi/Nemotron-Cascade-2-SFT-Data-Small.text1M<n<10M4 likes43 downloads6mo agoHugging Face07chankhavu /nemotron-cascade2-cheating-attempts Nemotron-Cascade-2 30B A3B — Cheating Investigation Tool the model had: a single tool, stateful_python_code_exec (Jupyter sandbox). Network egress from inside that sandbox is not blocked — the model can urllib.request.urlopen, requests.get, and even pip install from PyPI. Baseline accuracy across the 10,197 traces: 5,748 / 10,197 = 56.4 %. 1. Headline numbers Bucket Traces Correct Accuracy Δ vs baseline All traces 10,197 5,748 56.4 % — Any network… See the full description on the dataset page: https://huggingface.co/datasets/chankhavu/nemotron-cascade2-cheating-attempts.tabularn<1K0 likes7 downloads6mo agoHugging Face08JWei05 /Nemotron-Cascade-2-SFT-Data-9k-subsettext1K<n<10K0 likes7 downloads5mo agoHugging Face09JWei05 /Nemotron-Cascade-2-SFT-Data-16k-subsettext10K<n<100K0 likes7 downloads5mo agoHugging Face10teetone /nemotron-cascade-2-science-dedupedtext100K<n<1M0 likes6 downloads4mo agoHugging Face11teetone /nemotron-cascade-2-science-deduped-200ktext100K<n<1M0 likes4 downloads4mo agoHugging Face12teetone /nemotron-cascade-2-science-deduped-100ktext100K<n<1M0 likes3 downloads4mo agoHugging Face

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