---
license: cc-by-4.0
language:
- en
pretty_name: UnCoBench
size_categories:
- 1K<n<10K
task_categories:
- text-generation
tags:
- text
- benchmark
- multi-agent
- collaboration
- reasoning
- synthetic
- evaluation
---

# UnCoBench

[GitHub Repository](https://github.com/iNLP-Lab/UnCoBench)

UnCoBench evaluates how well a main agent completes collaborative tasks when other agents exhibit unreliable behavior. The dataset contains **1,000 groups of paired English tasks** across **five settings**, yielding **5,000 task instances**.

The main agent must gather information from role agents, resolve gaps or inconsistencies, and produce a final decision and, when required, a numerical result. Role agents have separate descriptions and private information. Shared task IDs make it possible to compare performance across collaboration settings.

## Dataset Overview

| Property | Description |
| --- | --- |
| Language | English |
| Task groups | 1,000, identified by `task_001` through `task_1000` |
| Task instances | 5,000: 1,000 in each setting |
| Interaction | A main agent queries role agents and submits a final answer |

## Collaboration Settings

The four primary settings support paired comparisons of individual unreliable behaviors. The additional `mixed` setting combines them as a stress test.

| Setting | Description |
| --- | --- |
| `reliable` | Baseline collaboration without the three injected unreliable behaviors. |
| `misaligned` | A required record in the public candidate directory points to a different context. The appropriate record remains available, requiring the main agent to recognize and resolve the mismatch. |
| `incomplete` | A necessary numerical answer is initially omitted or given as a truthful but insufficient bound or interval. A follow-up can recover the precise value. |
| `missed` | A required role initially does not respond. The main agent must follow up in a later round to obtain an answer. |
| `mixed` | Combines the three unreliable behaviors across three different required roles. |

## License

The benchmark data is licensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/), consistent with the [data license](https://github.com/iNLP-Lab/UnCoBench/blob/main/LICENSE-DATA). When redistributing the data, credit the UnCoBench contributors, include the license, and indicate any modifications.