Datasets:
Fix false-positive edit in metadata.json - restore original text
Browse files- metadata.json +1 -1
metadata.json
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"name_zh": "SFE 科学家第一考试多模态评测数据集",
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"organization": "obaydata",
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"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.\n\n**Domains:** Astronomy, Earth Science, Life Science, Materials Science, and more.\n\n**Data Production:** Domain experts combine the latest research results to annotate high-difficulty multimodal image-text questions with answer explanations.\n\n**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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"description_zh": "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。\n\n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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"scale": "Weekly production capacity: 300 entries",
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"format": "JSON with images",
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"use_case": "Evaluating multimodal LLMs on expert-level scientific reasoning across multiple disciplines",
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"name_zh": "SFE 科学家第一考试多模态评测数据集",
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"organization": "obaydata",
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"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.\n\n**Domains:** Astronomy, Earth Science, Life Science, Materials Science, and more.\n\n**Data Production:** Domain experts combine the latest research results to annotate high-difficulty multimodal image-text questions with answer explanations.\n\n**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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"description_zh": "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。\n\n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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"scale": "Weekly production capacity: 300 entries",
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"format": "JSON with images",
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"use_case": "Evaluating multimodal LLMs on expert-level scientific reasoning across multiple disciplines",
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