Update README.md

README.md

@@ -1,44 +1,107 @@
----
-license: apache-2.0
-dataset_info:
-  features:
-  - name: catagory
-    dtype: string
-  - name: question
-    dtype: string
-  - name: image
-    dtype: image
-  - name: answer
-    dtype: string
-  splits:
-  - name: full
-    num_bytes: 141377742.0
-    num_examples: 803
-  - name: math
-    num_bytes: 7788840.0
-    num_examples: 176
-  - name: physics
-    num_bytes: 14724245.0
-    num_examples: 157
-  - name: game
-    num_bytes: 20972060.0
-    num_examples: 275
-  - name: counting
-    num_bytes: 97892598.0
-    num_examples: 195
-  download_size: 275506340
-  dataset_size: 282755485.0
-configs:
-- config_name: default
-  data_files:
-  - split: full
-    path: data/full-*
-  - split: math
-    path: data/math-*
-  - split: physics
-    path: data/physics-*
-  - split: game
-    path: data/game-*
-  - split: counting
-    path: data/counting-*
----
+---
+license: apache-2.0
+dataset_info:
+  features:
+  - name: catagory
+    dtype: string
+  - name: question
+    dtype: string
+  - name: image
+    dtype: image
+  - name: answer
+    dtype: string
+  splits:
+  - name: full
+    num_bytes: 141377742.0
+    num_examples: 803
+  - name: math
+    num_bytes: 7788840.0
+    num_examples: 176
+  - name: physics
+    num_bytes: 14724245.0
+    num_examples: 157
+  - name: game
+    num_bytes: 20972060.0
+    num_examples: 275
+  - name: counting
+    num_bytes: 97892598.0
+    num_examples: 195
+  download_size: 275506340
+  dataset_size: 282755485.0
+configs:
+- config_name: default
+  data_files:
+  - split: full
+    path: data/full-*
+  - split: math
+    path: data/math-*
+  - split: physics
+    path: data/physics-*
+  - split: game
+    path: data/game-*
+  - split: counting
+    path: data/counting-*
+---
+
+# R-Bench-V
+
+## Introduction
+
+[R-Bench-V Official Website](https://evalmodels.github.io/rbenchv)
+
+In "R-Bench-V", R denotes reasoning, and V denotes vision-indispensable.
+
+According to statistics on RBench-V, the benchmark spans 4 categories, which are math, physics, counting and game.
+
+It features 803 questions centered on multi-modal outputs, which requires image manipulation, such as generating novel images and constructing auxiliary lines to support reasoning process.
+
+## Leaderboard
+
+| Model                         | Source | Overall | w/o Math | Math | Physics | Counting | Game |
+|------------------------------|--------|---------|----------|------|---------|----------|------|
+| **Human Expert 👑**          | /      | **82.3**| 81.7     | 84.7 | 69.4    | 81.0     | 89.1 |
+| **OpenAI o3 🥇**             | [Link](https://platform.openai.com/docs/models/o3) | **25.8** | 19.5 | 48.3 | 20.4 | 22.1 | 17.1 |
+| **OpenAI o4-mini 🥈**        | [Link](https://platform.openai.com/docs/models/o4-mini) | **20.9** | 14.6 | 43.2 | 12.7 | 17.4 | 13.8 |
+| **Gemini 2.5 pro 🥉**        | [Link](https://cloud.google.com/vertex-ai/generative-ai/docs/models/gemini/2-5-pro) | **20.2** | 13.9 | 42.6 | 9.6  | 19.0 | 12.7 |
+| Doubao-1.5-thinking-pro-m    | [Link](https://team.doubao.com/en/blog/%E5%AD%97%E8%8A%82%E8%B7%B3%E5%8A%A8%E6%9C%80%E6%96%B0%E6%80%9D%E8%80%83%E6%A8%A1%E5%9E%8B-seed-thinking-v1-5%E6%8A%80%E6%9C%AF%E7%BB%86%E8%8A%82%E5%85%AC%E5%BC%80) | **17.1** | 11.0 | 38.6 | 13.4 | 9.7  | 10.5 |
+| OpenAI o1                    | [Link](https://openai.com/o1/) | **16.2** | 11.0 | 34.7 | 5.7  | 12.3 | 13.1 |
+| Doubao-1.5-vision-pro        | [Link](https://team.doubao.com/en/) | **15.6** | 11.5 | 30.1 | 8.9  | 12.8 | 12.0 |
+| OpenAI GPT-4o-20250327       | [Link](https://platform.openai.com/docs/models/gpt-4o) | **14.1** | 11.2 | 24.4 | 3.2  | 13.3 | 14.2 |
+| OpenAI GPT-4.1               | [Link](https://platform.openai.com/docs/models/gpt-4.1) | **13.6** | 11.7 | 20.5 | 5.7  | 11.3 | 15.3 |
+| Step-R1-V-Mini               | [Link](https://www.aibase.com/tool/www.aibase.com/tool/36838) | **13.2** | 8.8  | 29.0 | 6.4  | 10.3 | 9.1  |
+| OpenAI GPT-4.5               | [Link](https://openai.com/index/introducing-gpt-4-5/) | **12.6** | 11.0 | 18.2 | 2.5  | 11.8 | 15.3 |
+| Claude-3.7-sonnet            | [Link](https://www.anthropic.com/claude/sonnet) | **11.5** | 9.1  | 19.9 | 3.8  | 8.7  | 12.4 |
+| QVQ-Max                      | [Link](https://qwenlm.github.io/blog/qvq-max-preview/) | **11.0** | 8.1  | 21.0 | 5.7  | 6.2  | 10.9 |
+| Qwen2.5VL-72B                | [Link](https://huggingface.co/Qwen/Qwen2.5-VL-72B-Instruct) | **10.6** | 9.2  | 15.3 | 3.8  | 6.2  | 14.5 |
+| InternVL-3-38B               | [Link](https://huggingface.co/OpenGVLab/InternVL3-38B) | **10.0** | 7.2  | 20.5 | 0.6  | 5.1  | 12.4 |
+| Qwen2.5VL-32B                | [Link](https://huggingface.co/Qwen/Qwen2.5-VL-32B-Instruct) | **10.0** | 6.4  | 22.7 | 2.5  | 4.1  | 10.2 |
+| MiniCPM-2.6-o                | [Link](https://github.com/OpenBMB/MiniCPM-o) | **9.7**  | 7.5  | 17.6 | 1.3  | 3.6  | 13.8 |
+| Llama4-Scout (109B MoE)      | [Link](https://ai.meta.com/blog/llama-4-multimodal-intelligence/) | **9.5**  | 6.9  | 18.8 | 3.2  | 4.1  | 10.9 |
+| MiniCPM-2.6-V                | [Link](https://huggingface.co/openbmb/MiniCPM-V-2_6) | **9.1**  | 7.2  | 15.9 | 1.3  | 6.2  | 11.3 |
+| LLaVA-OneVision-72B         | [Link](https://huggingface.co/llava-hf/llava-onevision-qwen2-72b-ov-hf) | **9.0**  | 8.9  | 9.1  | 4.5  | 4.6  | 14.5 |
+| DeepSeek-VL2                 | [Link](https://github.com/deepseek-ai/DeepSeek-VL2) | **9.0**  | 7.0  | 15.9 | 0.6  | 5.6  | 11.6 |
+| LLaVA-OneVision-7B          | [Link](https://huggingface.co/lmms-lab/llava-onevision-qwen2-7b-ov) | **8.5**  | 6.8  | 14.2 | 2.5  | 4.6  | 10.9 |
+| Qwen2.5VL-7B                 | [Link](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct) | **8.3**  | 7.0  | 13.1 | 2.5  | 3.6  | 12.0 |
+| InternVL-3-8B                | [Link](https://huggingface.co/OpenGVLab/InternVL3-8B) | **8.2**  | 6.0  | 15.9 | 1.9  | 5.6  | 8.7  |
+| InternVL-3-14B               | [Link](https://huggingface.co/OpenGVLab/InternVL3-14B) | **8.0**  | 7.0  | 11.4 | 1.3  | 5.1  | 11.6 |
+| Qwen2.5-Omni-7B              | [Link](https://github.com/QwenLM/Qwen2.5-Omni) | **7.7**  | 4.5  | 11.4 | 1.9  | 2.1  | 7.7  |
+
+The values in the table represent the Top-1 accuracy, in %
+
+## BibTeX
+
+```
+@inproceedings{
+  guo2025rbench-v,
+  title={RBench-V: A Primary Assessment for Visual Reasoning Models 
+    with Multi-modal Outputs},
+  author={Meng-Hao Guo, Xuanyu Chu, Qianrui Yang, Zhe-Han Mo, Yiqing Shen, 
+    Pei-Lin Li, Xinjie Lin, Jinnian Zhang, Xin-Sheng Chen, Yi Zhang, Kiyohiro Nakayama, 
+    Zhengyang Geng, Houwen Peng, Han Hu, Shi-Min Hu},
+  year={2025},
+  eprint={},
+  archivePrefix={},
+  primaryClass={},
+  url={}, 
+}
+```