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: 17969463
num_examples: 3556
download_size: 5362094
dataset_size: 17969463
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
💻 Code · 🤗 Models & Data · 📜 Paper · 📓 Blog
For full information, go check out the Tmax paper here.
TermiGen - Open Instruct formatted
This is TermiGen formatted for use with our fork of open-instruct. For more information and the original data, you should check out the original source.
Release collection: https://huggingface.co/collections/TMaxxx/tmax-v11
Source dataset: https://huggingface.co/datasets/allenai/open-instruct-termigen/tree/02c5fddc881b6ae4eacf0d262c777d7b06321a19
Source and license
This is a tmax training-format conversion of the original dataset. The original authors' license and reuse terms apply to the source data; consult the upstream license and dataset documentation for those terms, attribution, and citation requirements. This conversion does not relicense the source tasks or bundled third-party materials.
The upstream repository does not currently declare a dataset license. Refer to the original authors for licensing terms before reuse.
Citation
If you found this data useful, please cite the original paper:
@article{zhu2026termigen,
title={TermiGen: High-Fidelity Environment and Robust Trajectory Synthesis for Terminal Agents},
author={Zhu, Kaijie and Nie, Yuzhou and Li, Yijiang and Huang, Yiming and Wu, Jialian and Liu, Jiang and Sun, Ximeng and Yin, Zhenfei and Wang, Lun and Liu, Zicheng and others},
journal={arXiv preprint arXiv:2602.07274},
year={2026}
}