Datasets:

allenai
/

tmax-15k-open-instruct

dataset_info:
  features:
    - name: messages
      list:
        - name: content
          dtype: string
        - name: role
          dtype: string
    - name: ground_truth
      dtype: string
    - name: dataset
      dtype: string
    - name: env_config
      struct:
        - name: env_name
          dtype: string
        - name: image
          dtype: string
        - name: task_id
          dtype: string
    - name: source
      dtype: string
  splits:
    - name: train
      num_bytes: 66046922
      num_examples: 14601
  download_size: 65318167
  dataset_size: 66046922
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: odc-by
language:
  - en

💻 Code · 🤗 Models & Data · 📜 Paper · 📓 Blog

For full information, go check out the Tmax paper here.

TMax 15k - Open Instruct

This is the dataset we used to train Tmax 9b (and our other tmax models), formatted for use with our open-instruct fork here. 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!

License

This dataset is licensed under ODC-BY. It is intended for research and educational use in accordance with Ai2's Responsible Use Guidelines. The data includes outputs generated using Gemini 3.1 Pro, which are subject to Google's Terms of Service.

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}, 
}