--- 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} } ```