Datasets:
Add dataset card for SFE (Scientists First Exam) Multimodal Science Benchmark
Browse files
README.md
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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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# SFE (Scientists First Exam) Multimodal Science Benchmark
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**SFE 科学家第一考试多模态评测数据集**
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## Dataset Description
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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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## Description
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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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**Domains:** Astronomy, Earth Science, Life Science, Materials Science, and more.
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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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**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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### 中文描述
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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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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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## Dataset Details
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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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## Citation
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If you use this dataset, please cite:
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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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```
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