CharlieDreemur/OpenManus-RL

Dataset

Dataset Card for OpenManusRL

87

18 commits

2 linked in READMEs

updated Mar 15, 2025

See the code

README

Dataset Card for OpenManusRL

Dataset Description

Overview

💻 [Github Repo]

OpenManusRL combines agent trajectories from AgentInstruct, Agent-FLAN and AgentTraj-L(AgentGym) with features:

  • 🔍 ReAct Framework - Reasoning-Acting integration
  • 🧠 Structured Training - Separate format/reasoning learning
  • 🚫 Anti-Hallucination - Negative samples + environment grounding
  • 🌐 6 Domains - OS, DB, Web, KG, Household, E-commerce

Dataset Overview

SourceTrajectoriesAvg TurnsKey Features
Agent-FLAN344423-35Error recovery patterns, CoT reasoning
AgentTraj-L144853-35interactive environments and tasks
Combined489274-20Enhanced generalization, uniform format with broader task coverage

Supported Tasks

  • text-generation: ReAct-style instruction following
  • conversational-ai: Tool-augmented dialogues

Languages

English

Dataset Structure

Data Instances

ReAct Pattern Example:

{
  "id": "os_0",
  "conversations": [
    {"role": "user", "content": "Count files in /etc"},
    {"role": "assistant", "content": "Think: Need reliable counting method\nAct: bash\n```bash\nls -1 /etc | wc -l\n```"},
    {"role": "user", "content": "OS Output: 220"},
    {"role": "assistant", "content": "Think: Verified through execution\nAct: answer(220)"}
  ]
}

Licensing

Citation

@misc{zeng2023agenttuning,
  title={AgentTuning: Enabling Generalized Agent Abilities for LLMs},
  author={Aohan Zeng and Mingdao Liu and Rui Lu and Bowen Wang and Xiao Liu and Yuxiao Dong and Jie Tang},
  year={2023},
  eprint={2310.12823},
  archivePrefix={arXiv},
  primaryClass={cs.CL}
}

@article{chen2024agent,
  title={Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models},
  author={Chen, Zehui and Liu, Kuikun and Wang, Qiuchen and Zhang, Wenwei and Liu, Jiangning and Lin, Dahua and Chen, Kai and Zhao, Feng},
  journal={arXiv preprint arXiv:2403.12881},
  year={2024}
}

@misc{xi2024agentgym,
      title={AgentGym: Evolving Large Language Model-based Agents across Diverse Environments}, 
      author={Zhiheng Xi and Yiwen Ding and Wenxiang Chen and Boyang Hong and Honglin Guo and Junzhe Wang and Dingwen Yang and Chenyang Liao and Xin Guo and Wei He and Songyang Gao and Lu Chen and Rui Zheng and Yicheng Zou and Tao Gui and Qi Zhang and Xipeng Qiu and Xuanjing Huang and Zuxuan Wu and Yu-Gang Jiang},
      year={2024},
      eprint={2406.04151},
      archivePrefix={arXiv},
      primaryClass={cs.AI}
}

Contact

OpenManus Team

conversational-ai
instruction-tuning

Contributors

CharlieDreemur

18 commits

CharlieDreemur/OpenManus-RL

Dataset

Dataset Card for OpenManusRL

87

18 commits

2 linked in READMEs

updated Mar 15, 2025

See the code

README

Dataset Card for OpenManusRL

Dataset Description

Overview

💻 [Github Repo]

OpenManusRL combines agent trajectories from AgentInstruct, Agent-FLAN and AgentTraj-L(AgentGym) with features:

  • 🔍 ReAct Framework - Reasoning-Acting integration
  • 🧠 Structured Training - Separate format/reasoning learning
  • 🚫 Anti-Hallucination - Negative samples + environment grounding
  • 🌐 6 Domains - OS, DB, Web, KG, Household, E-commerce

Dataset Overview

SourceTrajectoriesAvg TurnsKey Features
Agent-FLAN344423-35Error recovery patterns, CoT reasoning
AgentTraj-L144853-35interactive environments and tasks
Combined489274-20Enhanced generalization, uniform format with broader task coverage

Supported Tasks

  • text-generation: ReAct-style instruction following
  • conversational-ai: Tool-augmented dialogues

Languages

English

Dataset Structure

Data Instances

ReAct Pattern Example:

{
  "id": "os_0",
  "conversations": [
    {"role": "user", "content": "Count files in /etc"},
    {"role": "assistant", "content": "Think: Need reliable counting method\nAct: bash\n```bash\nls -1 /etc | wc -l\n```"},
    {"role": "user", "content": "OS Output: 220"},
    {"role": "assistant", "content": "Think: Verified through execution\nAct: answer(220)"}
  ]
}

Licensing

Citation

@misc{zeng2023agenttuning,
  title={AgentTuning: Enabling Generalized Agent Abilities for LLMs},
  author={Aohan Zeng and Mingdao Liu and Rui Lu and Bowen Wang and Xiao Liu and Yuxiao Dong and Jie Tang},
  year={2023},
  eprint={2310.12823},
  archivePrefix={arXiv},
  primaryClass={cs.CL}
}

@article{chen2024agent,
  title={Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models},
  author={Chen, Zehui and Liu, Kuikun and Wang, Qiuchen and Zhang, Wenwei and Liu, Jiangning and Lin, Dahua and Chen, Kai and Zhao, Feng},
  journal={arXiv preprint arXiv:2403.12881},
  year={2024}
}

@misc{xi2024agentgym,
      title={AgentGym: Evolving Large Language Model-based Agents across Diverse Environments}, 
      author={Zhiheng Xi and Yiwen Ding and Wenxiang Chen and Boyang Hong and Honglin Guo and Junzhe Wang and Dingwen Yang and Chenyang Liao and Xin Guo and Wei He and Songyang Gao and Lu Chen and Rui Zheng and Yicheng Zou and Tao Gui and Qi Zhang and Xipeng Qiu and Xuanjing Huang and Zuxuan Wu and Yu-Gang Jiang},
      year={2024},
      eprint={2406.04151},
      archivePrefix={arXiv},
      primaryClass={cs.AI}
}

Contact

OpenManus Team

conversational-ai
instruction-tuning

Contributors

CharlieDreemur

18 commits