physics-problems
收藏魔搭社区2025-12-05 更新2025-09-06 收录
下载链接：
https://modelscope.cn/datasets/Kratos-AI/physics-problems
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资源简介：
# Physics Problems Dataset
**Dataset Description:**
This dataset contains a collection of physics problems designed for educational and research purposes. Each problem includes a question, relevant equations, and, where applicable, numerical or symbolic solutions. The dataset covers topics such as mechanics, electromagnetism, thermodynamics, optics, and modern physics.
The dataset supports training and evaluation of models in:
- Natural Language Processing (NLP) for physics problem-solving
- Question-answering systems
- Symbolic reasoning and equation parsing
- Educational AI tools for physics tutoring
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## Intended Uses
### ✅ Direct Use
- Training and benchmarking NLP models for physics problem-solving
- Developing AI-based educational tools for physics students
- Research in automated reasoning and scientific question-answering
### ❌ Out-of-Scope Use
- Real-time physics simulations or calculations
- Commercial use without proper CC BY 4.0 attribution
- Direct use in high-stakes academic testing without validation
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## Considerations and Limitations
- ❗ The dataset is small (<1,000 samples) and may not cover all subfields of physics comprehensively
- 💡 Problem complexity varies, and some solutions may require external validation
- 🔄 Future versions will aim to include more diverse problem types and multilingual support
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## License
**CC BY 4.0** — You can use, modify, and share the dataset with appropriate credit.
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## Contact
- For queries or collaborations related to datasets, contact at :
- anoushka@kgen.io
- abhishek.vadapalli@kgen.io
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# 物理问题数据集
**数据集说明：**
本数据集收录了一批面向教育与科研用途的物理习题。每道习题均包含题干、相关公式，且视情况提供数值解或符号解。数据集覆盖力学、电磁学、热力学、光学及近代物理学等多个物理学分支领域。
本数据集可用于支撑以下场景的模型训练与评估：
- 面向物理习题求解的自然语言处理（Natural Language Processing, NLP）模型
- 问答系统
- 符号推理与公式解析
- 面向物理辅导的教育型人工智能工具
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## 预期用途
### ✅ 合法使用场景
- 面向物理习题求解的自然语言处理（Natural Language Processing, NLP）模型训练与基准测试
- 面向物理学习者的人工智能教育工具开发
- 自动化推理与科学问答领域的相关研究
### ❌ 超出范围的使用场景
- 实时物理模拟或计算
- 未遵循CC BY 4.0协议进行署名的商业用途
- 未经过验证便直接用于高风险学术考试
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## 注意事项与局限性
- ❗ 本数据集规模较小（样本量不足1000），未能全面覆盖物理学所有子领域
- 💡 习题复杂度存在差异，部分解法可能需要外部验证
- 🔄 未来版本将致力于纳入更多样化的习题类型，并支持多语言功能
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## 授权协议
**CC BY 4.0** — 您可在注明适当出处的前提下使用、修改并共享本数据集。
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## 联系方式
- 若有数据集相关的咨询或合作需求，请联系：
- anoushka@kgen.io
- abhishek.vadapalli@kgen.io
提供机构：
maas
创建时间：
2025-08-01
