OffSeeker/DeepForge
DeepForge We introduce a fully open-source suite designed for effective offline deep research agent training. DeepForge series includes collection of 66k QA pairs, 33k SFT trajectories, and 21k DPO pairs. Citation If you use DeepForge dataset in your research, please cite: @article{zhou2026offseeker, title={OffSeeker: Online Reinforcement Learning Is Not All You Need for Deep Research Agents}, author={Zhou, Yuhang and Zheng, Kai and Chen, Qiguang and Hu… See the full description on the dataset page: https://huggingface.co/datasets/OffSeeker/DeepForge.
| Author / organization | OffSeeker |
|---|---|
| License (as declared) | mit |
| Downloads | 131 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 17 January 2026 |
| Last updated at source | 3 March 2026 |
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