tmax-15k-open-instruct

 <p align="center"> 💻 <a href="https://github.com/hamishivi/tmax">Code</a> · 🤗 <a href="https://huggingface.co/collections/allenai/tmax">Models &amp; Data</a> · 📜 <a href="https://arxiv.org/abs/2606.23321">Paper</a> · 📓 <a href="https://wai-org.com/blog/tmax/">Blog</a> </p> > [!NOTE] > For full information, go check out the Tmax paper [here](https://arxiv.org/abs/2606.23321). # TMax 15k - Open Instruct This is the dataset we used to train [Tmax 9b](https://huggingface.co/allenai/tmax-9b) (and our other tmax models), formatted for use with our open-instruct fork [here](https://github.com/hamishivi/tmax). In general, this is a collection of roughly 15k RL environment instances. For details on how we generated this dataset and its makeup, please see our paper! **You can find a more generic version of this dataset [here](https://huggingface.co/datasets/allenai/TMax-15K)!** ## License This dataset is licensed under ODC-BY. It is intended for research and educational use in accordance with Ai2's [Responsible Use Guidelines](https://allenai.org/responsible-use). The data includes outputs generated using Gemini 3.1 Pro, which are subject to Google's [Terms of Service](https://policies.google.com/terms). ## Citation If you use our model or data, please cite our paper: ``` @misc{ivison2026tmaxsimplerecipeterminal, title={Tmax: A simple recipe for terminal agents}, author={Hamish Ivison and Junjie Oscar Yin and Rulin Shao and Teng Xiao and Nathan Lambert and Hannaneh Hajishirzi}, year={2026}, eprint={2606.23321}, archivePrefix={arXiv}, primaryClass={cs.CL}, url={https://arxiv.org/abs/2606.23321}, } ```