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Nemotron 다중 도메인 추론 데이터 세트

날짜

일 년 전

크기

168.85 GB

조직

NVIDIA(英伟达)

Paper URL

2505.00949

라이선스

CC BY 4.0

Nemotron은 NVIDIA가 2025년에 발표한 다중 도메인 추론 데이터 세트입니다. 관련 논문 결과는 다음과 같습니다.라마-네모트론: 효율적 추론 모델"는 라마 모델의 추론 효율성과 정확성을 개선하는 것을 목표로 합니다. 이 데이터 세트에는 대화(746,000개), 코드(189만 6천 개), 수학(204만 4천 개), STEM(2,066만 개), 도구 호출(31만 개)의 5가지 주요 범주를 포괄하는 2,566만 개의 샘플이 포함되어 있습니다.

소환

If you found this dataset useful, please cite the model and dataset as per below:
@misc{bercovich2025llamanemotronefficientreasoningmodels,
title={Llama-Nemotron: Efficient Reasoning Models},
author={Akhiad Bercovich and Itay Levy and Izik Golan and Mohammad Dabbah and Ran El-Yaniv and Omri Puny and Ido Galil and Zach Moshe and Tomer Ronen and Najeeb Nabwani and Ido Shahaf and Oren Tropp and Ehud Karpas and Ran Zilberstein and Jiaqi Zeng and Soumye Singhal and Alexander Bukharin and Yian Zhang and Tugrul Konuk and Gerald Shen and Ameya Sunil Mahabaleshwarkar and Bilal Kartal and Yoshi Suhara and Olivier Delalleau and Zijia Chen and Zhilin Wang and David Mosallanezhad and Adi Renduchintala and Haifeng Qian and Dima Rekesh and Fei Jia and Somshubra Majumdar and Vahid Noroozi and Wasi Uddin Ahmad and Sean Narenthiran and Aleksander Ficek and Mehrzad Samadi and Jocelyn Huang and Siddhartha Jain and Igor Gitman and Ivan Moshkov and Wei Du and Shubham Toshniwal and George Armstrong and Branislav Kisacanin and Matvei Novikov and Daria Gitman and Evelina Bakhturina and Jane Polak Scowcroft and John Kamalu and Dan Su and Kezhi Kong and Markus Kliegl and Rabeeh Karimi and Ying Lin and Sanjeev Satheesh and Jupinder Parmar and Pritam Gundecha and Brandon Norick and Joseph Jennings and Shrimai Prabhumoye and Syeda Nahida Akter and Mostofa Patwary and Abhinav Khattar and Deepak Narayanan and Roger Waleffe and Jimmy Zhang and Bor-Yiing Su and Guyue Huang and Terry Kong and Parth Chadha and Sahil Jain and Christine Harvey and Elad Segal and Jining Huang and Sergey Kashirsky and Robert McQueen and Izzy Putterman and George Lam and Arun Venkatesan and Sherry Wu and Vinh Nguyen and Manoj Kilaru and Andrew Wang and Anna Warno and Abhilash Somasamudramath and Sandip Bhaskar and Maka Dong and Nave Assaf and Shahar Mor and Omer Ullman Argov and Scot Junkin and Oleksandr Romanenko and Pedro Larroy and Monika Katariya and Marco Rovinelli and Viji Balas and Nicholas Edelman and Anahita Bhiwandiwalla and Muthu Subramaniam and Smita Ithape and Karthik Ramamoorthy and Yuting Wu and Suguna Varshini Velury and Omri Almog and Joyjit Daw and Denys Fridman and Erick Galinkin and Michael Evans and Katherine Luna and Leon Derczynski and Nikki Pope and Eileen Long and Seth Schneider and Guillermo Siman and Tomasz Grzegorzek and Pablo Ribalta and Monika Katariya and Joey Conway and Trisha Saar and Ann Guan and Krzysztof Pawelec and Shyamala Prayaga and Oleksii Kuchaiev and Boris Ginsburg and Oluwatobi Olabiyi and Kari Briski and Jonathan Cohen and Bryan Catanzaro and Jonah Alben and Yonatan Geifman and Eric Chung and Chris Alexiuk},
year={2025},
eprint={2505.00949},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2505.00949},
}
@software{NemotronPostTrainingDatasetV1,
author = {Nathawani, Dhruv and Gitman, Igor and Majumdar, Somshubra and Bakhturina, Evelina and Sunil Mahabaleshwarkar, Ameya and and Zhang, Jian and Polak Scowcroft, Jane},
title = {{Nemotron-Post-Training-Dataset-v1}},
version = {1.0},
publisher = {{NVIDIA}},
year = {2025}, month = July,
url = {https://huggingface.co/datasets/nvidia/Nemotron-Post-Training-Dataset-v1}
}
Nemotron.torrent
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  • Nemotron/
    • README.md
      1.16 KB
    • README.txt
      2.32 KB
      • data/
        • Nemotron.zip
          168.85 GB

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