| --- |
| license: mit |
| configs: |
| - config_name: default |
| data_files: |
| - split: test |
| path: data/test.json |
| language: |
| - en |
| tags: |
| - benchmark |
| - tool-use |
| - telecommunications |
| pretty_name: CTBench |
| task_categories: |
| - question-answering |
| size_categories: |
| - n<2K |
| --- |
| |
| <div align="center" style="font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; padding: 25px 15px; max-width: 720px; margin: 20px auto;"> |
| <div style="font-size: 3.2em; font-weight: bold; margin-bottom: 5px;"> |
| <span style="background: -webkit-linear-gradient(45deg, #ff512f, #dd2476); -webkit-background-clip: text; -webkit-text-fill-color: transparent;"> |
| CTBench |
| </span> |
| </div> |
| <div style="font-size: 1.0em; color: #4a4a4a; margin-bottom: 12px; line-height: 1.45; padding: 0 10px;"> |
| A Benchmark for LLM Agents in 5G Network Root Cause Analysis and Path Restauration |
| </div> |
| <!--div style="font-size: 0.80em; color: #777; margin-bottom: 10px;"> |
| Developed by the <strong>NetOp Team, Huawei Paris Research Center</strong> |
| </div--> |
| <hr style="border: 0; height: 1px; background: #ddd; margin-top: 10px; margin-bottom: 15px; width: 60%;"> |
| <!--div style="font-size: 0.80em; color: #6c757d; line-height: 1.5; margin-bottom: 15px;"> |
| Mohamed Sana 路 Nicola Piovesan 路 Antonio De Domenico 路 Fadhel Ayed |
| </div--> |
| <div style="display: flex; flex-wrap: wrap; justify-content: center; gap: 10px; font-size: 1.1em; margin-bottom: 0px;"> |
| <a href="https://arxiv.org/abs/xxx.xxx" target="_blank" |
| style="text-decoration: none; background-color: #007bff; color: white; padding: 10px 20px; border-radius: 5px; font-weight: bold; text-align: center;"> |
| 馃搫 Read the Paper |
| </a> |
| <a href="https://huggingface.co/datasets/netop/TeleLogsAgent" |
| style="text-decoration: none; background-color: #ffc107; color: black; padding: 10px 20px; border-radius: 5px; font-weight: bold; text-align: center;"> |
| 馃 Explore the Dataset |
| </a> |
| </div> |
| </div> |
| |
|
|
| > [!NOTE] |
| > IMPORTANT: Please help us protect the integrity of this benchmark by not publicly sharing, re-uploading, or distributing the dataset. |
|
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|
| ## Dataset Description |