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---
license: cc-by-nc-4.0
task_categories:
- visual-question-answering
- question-answering
language:
- en
- zh
tags:
- science
- multimodal
- benchmark
- evaluation
- astronomy
- earth-science
- biology
- materials-science
pretty_name: "SFE (Scientists First Exam) Multimodal Science Benchmark"
size_categories:
- n<1K
---
# SFE (Scientists First Exam) Multimodal Science Benchmark
**SFE 科学家第一考试多模态评测数据集**
## Dataset Description
- **Homepage:** [obaydata.com](https://obaydata.com)
- **Organization:** New Oriental Bay Limited (obaydata)
- **Contact:** simon.su@obaydata.com
## Description
SFE (Scientists First Exam) is a multimodal scientific LLM evaluation benchmark. It uses original research data combined with expert annotations to construct high-difficulty scientific reasoning datasets, evaluating models' full-chain research capabilities from signal perception and attribute understanding to complex reasoning.
**Domains:** Astronomy, Earth Science, Life Science, Materials Science, and more.
**Data Production:** Domain experts combine the latest research results to annotate high-difficulty multimodal image-text questions with answer explanations.
**Difficulty Standard:** Data is produced to the pass@4 standard where the model answers correctly at most twice out of four attempts.
### 中文描述
SFE(Scientists First Exam)是多模态科学大模型评测基准,核心是用原始科研数据 + 专家标注构建高难度科学推理数据集,评估模型从信号感知、属性理解到复杂推理的全链条科研能力。
由专家结合最新研究成果在天文学、地球科学、生命科学、材料科学等领域进行标注,生产出具备高难度的多模态图文题目并出具答案解析。生产数据按照pass@4标准模型至多答对两次。
## Dataset Details
| Property | Value |
|----------|-------|
| **Scale** | Weekly production capacity: 300 entries |
| **Format** | JSON with images |
| **License** | CC-BY-NC-4.0 |
| **Copyright** | Full copyright provided |
| **Use Case** | Evaluating multimodal LLMs on expert-level scientific reasoning across multiple disciplines |
## Citation
If you use this dataset, please cite:
```bibtex
@dataset{obaydata2026,
author = {OBayData Team},
title = {SFE (Scientists First Exam) Multimodal Science Benchmark},
year = {2026},
publisher = {HuggingFace},
url = {https://huggingface.co/datasets/obaydata/sfe-scientists-first-exam}
}
```