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Add dataset card for SFE (Scientists First Exam) Multimodal Science Benchmark

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+ ---
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+ license: cc-by-nc-4.0
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+ task_categories:
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+ - visual-question-answering
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+ - question-answering
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+ language:
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+ - en
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+ - zh
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+ tags:
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+ - science
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+ - multimodal
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+ - benchmark
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+ - evaluation
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+ - astronomy
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+ - earth-science
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+ - biology
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+ - materials-science
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+ pretty_name: "SFE (Scientists First Exam) Multimodal Science Benchmark"
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+ size_categories:
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+ - n<1K
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+ ---
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+
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+ # SFE (Scientists First Exam) Multimodal Science Benchmark
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+
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+ **SFE 科学家第一考试多模态评测数据集**
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+
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+ ## Dataset Description
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+
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+ - **Homepage:** [obaydata.com](https://obaydata.com)
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+ - **Organization:** New Oriental Bay Limited (obaydata)
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+ - **Contact:** simon.su@obaydata.com
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+
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+ ## Description
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+
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+ 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.
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+
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+ **Domains:** Astronomy, Earth Science, Life Science, Materials Science, and more.
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+
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+ **Data Production:** Domain experts combine the latest research results to annotate high-difficulty multimodal image-text questions with answer explanations.
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+
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+ **Difficulty Standard:** Data is produced to the pass@4 standard where the model answers correctly at most twice out of four attempts.
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+
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+ ### 中文描述
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+
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+ 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。
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+
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+ 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。
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+
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+ ## Dataset Details
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+
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+ | Property | Value |
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+ |----------|-------|
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+ | **Scale** | Weekly production capacity: 300 entries |
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+ | **Format** | JSON with images |
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+ | **License** | CC-BY-NC-4.0 |
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+ | **Copyright** | Full copyright provided |
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+ | **Use Case** | Evaluating multimodal LLMs on expert-level scientific reasoning across multiple disciplines |
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+
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+ ## Citation
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+
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+ If you use this dataset, please cite:
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+
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+ ```bibtex
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+ @dataset{obaydata2026,
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+ author = {OBayData Team},
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+ title = {SFE (Scientists First Exam) Multimodal Science Benchmark},
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+ year = {2026},
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+ publisher = {HuggingFace},
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+ url = {https://huggingface.co/datasets/obaydata/sfe-scientists-first-exam}
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+ }
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+ ```