Datasets:
|
Download README.md from iNLP-Lab/UnCoBench: direct link, hf CLI and curl.
- Browser
- Download file 2.37 kB
-
https://huggingface.co/datasets/iNLP-Lab/UnCoBench/resolve/main/README.md
- Command line
-
hf download hf://datasets/iNLP-Lab/UnCoBench/README.md
-
curl -L -o README.md https://huggingface.co/datasets/iNLP-Lab/UnCoBench/resolve/main/README.md
2.37 kB
| 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. | |