Duplicate from SeePhys/SeePhys

Co-authored-by: Kun Xiang <Quinn777@users.noreply.huggingface.co>

.gitattributes

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README.md

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+---
+license: apache-2.0
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+- config_name: dev
+  data_files:
+  - split: total
+    path: dev/total-*
+  - split: dev
+    path: dev/dev-*
+dataset_info:
+- config_name: default
+  features:
+  - name: index
+    dtype: int64
+  - name: question
+    dtype: string
+  - name: answer
+    dtype: string
+  - name: images
+    list: image
+  - name: reasoning
+    dtype: string
+  - name: sig_figs
+    dtype: string
+  - name: level
+    dtype: int64
+  - name: subject
+    dtype: string
+  - name: language
+    dtype: string
+  - name: img_category
+    dtype: string
+  - name: vision_relevance
+    dtype: string
+  - name: caption
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 90258908.0
+    num_examples: 2000
+  download_size: 77879212
+  dataset_size: 90258908.0
+- config_name: dev
+  features:
+  - name: question
+    dtype: string
+  - name: subject
+    dtype: string
+  - name: image_path
+    sequence: string
+  - name: sig_figs
+    dtype: string
+  - name: level
+    dtype: int64
+  - name: language
+    dtype: string
+  - name: index
+    dtype: int64
+  - name: img_category
+    dtype: string
+  - name: vision_relevance
+    dtype: string
+  - name: caption
+    dtype: string
+  - name: image_0
+    dtype: image
+  - name: image_1
+    dtype: image
+  - name: image_2
+    dtype: image
+  - name: image_3
+    dtype: image
+  splits:
+  - name: total
+    num_bytes: 96133884.0
+    num_examples: 2000
+  - name: dev
+    num_bytes: 9343791.0
+    num_examples: 200
+  download_size: 86916417
+  dataset_size: 105477675.0
+task_categories:
+- question-answering
+- visual-question-answering
+language:
+- en
+tags:
+- physics
+- multi-modal
+size_categories:
+- 1K<n<10K
+---
+# SeePhys: Does Seeing Help Thinking? -- Benchmarking Vision-Based Physics Reasoning
+Can AI truly see the Physics? Test your model with the newly released SeePhys Benchmark!
+Covering 2,000 vision-text multimodal physics problems spanning from middle school to doctoral qualification exams, the SeePhys benchmark systematically evaluates LLMs/MLLMs on tasks integrating complex scientific diagrams with theoretical derivations. Experiments reveal that even SOTA models like Gemini-2.5-Pro and o4-mini achieve accuracy rates below 55%, with over 30% error rates on simple middle-school-level problems, highlighting significant challenges in multimodal reasoning.
+
+The benchmark is now open for evaluation at the ICML 2025 AI for MATH Workshop. Academic and industrial teams are invited to test their models!
+
+🔗 Key Links:
+
+📜Paper: http://arxiv.org/abs/2505.19099
+
+⚛️Project Page: https://seephys.github.io/
+
+🏆Challenge Submission: https://www.codabench.org/competitions/7925/
+
+➡️Competition Guidelines: https://sites.google.com/view/ai4mathworkshopicml2025/challenge
+
+
+The answer will be announced on July 1st, 2025 (Anywhere on Earth, AoE), which is after the submission deadline for the ICML 2025 Challenges on Automated Math Reasoning and Extensions.
+
+If you find SeePhys useful for your research and applications, please kindly cite using this BibTeX:
+
+```
+@article{xiang2025seephys,
+  title={SeePhys: Does Seeing Help Thinking? -- Benchmarking Vision-Based Physics Reasoning},
+  author={Kun Xiang, Heng Li, Terry Jingchen Zhang, Yinya Huang, Zirong Liu, Peixin Qu, Jixi He, Jiaqi Chen, Yu-Jie Yuan, Jianhua Han, Hang Xu, Hanhui Li, Mrinmaya Sachan, Xiaodan Liang},
+  journal={arXiv preprint arXiv:2505.19099},
+  year={2025}
+}
+```

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