Datasets:
| license: apache-2.0 | |
| task_categories: | |
| - image-text-to-text | |
| tags: | |
| - multimodal | |
| - ophthalmology | |
| - OCT | |
| - benchmark | |
| - medical | |
| - visual question answering | |
| # 🤗 OCT-Bench | |
| [Paper](https://huggingface.co/papers/2607.16609) | [GitHub](https://github.com/baochenfu/OCT-Bench) | |
|  | |
| We introduce OCT-Bench, a comprehensive benchmark for evaluating Multimodal Large Language Models (MLLMs) on optical coherence tomography (OCT) image understanding. OCT-Bench comprises 10,076 expert-verified multiple-choice questions from 4,137 OCT images across seven public datasets and evaluates 3 capability dimensions, 9 capability groups, and 20 fine-grained tasks covering perception, cognition, and clinical reasoning. We benchmark 20 representative MLLMs, including proprietary, open-source, and medical-domain models, providing a comprehensive assessment of OCT understanding capabilities. | |
| For detailed usage and instructions, please refer to the [GitHub page](https://github.com/baochenfu/OCT-Bench). | |
| You can download **OCT-Bench**. The expected directory structure is: | |
| ``` | |
| OCT-Bench | |
| ├── images | |
| │ ├── OCT5K | |
| │ ├── OCTDL | |
| │ └── ... | |
| └── VQA | |
| ├── T01_VQA.jsonl | |
| ├── T02_VQA.jsonl | |
| └── ... | |
| ``` |