Kirito-Lab/EntCollabBench
EntCollabBench EntCollabBench is a benchmark dataset for evaluating enterprise-oriented multi-agent collaboration. It focuses on realistic workplace task execution where an entry agent must complete user requests by using tools, interacting with enterprise systems, and delegating subtasks to specialized peer agents when needed. The dataset is designed for benchmarking agent systems that operate in a simulated enterprise environment with role separation, service boundaries… See the full description on the dataset page: https://huggingface.co/datasets/Kirito-Lab/EntCollabBench.
| Author / organization | Kirito-Lab |
|---|---|
| Downloads | 641 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 9 May 2026 |
| Last updated at source | 13 May 2026 |
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Recent changes
- 16 Oct 2026 Description: EntCollabBench EntCollabBench is a benchmark dataset for evaluating enterprise-oriented multi-agent collaboration. It focuses on realistic workplace task execution where an entry agent must complete user requests by using tools, interacting → EntCollabBench EntCollabBench is a benchmark dataset for evaluating enterprise-oriented multi-agent collaboration. It focuses on realistic workplace task execution where an entry agent must complete user requests by using tools, interacting
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