Add metadata for SFE (Scientists First Exam) Multimodal Science Benchmark

metadata.json

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+{
+  "dataset_name": "sfe-scientists-first-exam",
+  "pretty_name": "SFE (Scientists First Exam) Multimodal Science Benchmark",
+  "name_zh": "SFE 科学家第一考试多模态评测数据集",
+  "organization": "obaydata",
+  "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.",
+  "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。",
+  "scale": "Weekly production capacity: 300 entries",
+  "format": "JSON with images",
+  "use_case": "Evaluating multimodal LLMs on expert-level scientific reasoning across multiple disciplines",
+  "license": "cc-by-nc-4.0",
+  "copyright": "Full copyright provided",
+  "tags": [
+    "science",
+    "multimodal",
+    "benchmark",
+    "evaluation",
+    "astronomy",
+    "earth-science",
+    "biology",
+    "materials-science"
+  ],
+  "task_categories": [
+    "visual-question-answering",
+    "question-answering"
+  ],
+  "sample_link": "",
+  "contact": "simon.su@obaydata.com",
+  "homepage": "https://obaydata.com"
+}