Update README.md

README.md

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-license: apache-2.0
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+---
+license: apache-2.0
+language:
+- zh
+---
+# QZhou-Flowchart-QA-Benchmark: Real-World Flowchart Understanding Benchmark
+
+## Overview
+
+While the open-source community has various chart and document benchmarks, there is no specialized evaluation set for flowchart understanding. **QZhou-Flowchart-QA-Benchmark** fills this gap by providing a dedicated benchmark to effectively assess multimodal models' flowchart comprehension abilities.
+
+## Dataset Composition
+
+### Part 1: Web-Collected Real-World Flowcharts (Public)
+
+Manually curated flowcharts from image search engines, covering actual deployment scenarios including:
+- Government services and administrative processes
+- Banking and financial operations
+- Campus management systems
+- Daily office workflows
+- Financial processing procedures
+
+**Quality Diversity:** We deliberately control the distribution of image resolution and clarity, introducing varying degrees of blur and size differences to better reflect real-world application environments.
+
+**Annotation:** All questions and answers are carefully labeled and verified by human annotators.
+
+### Part 2: Enterprise Office Flowcharts (Coming Soon)
+
+Real flowcharts from production office environments, including:
+- HR management processes
+- Financial reimbursement workflows
+- Internal approval procedures
+
+*Note: This portion is currently undergoing anonymization and will be released in a future update.*
+
+## Question Diversity
+
+FlowchartBench ensures comprehensive query coverage, considering various questioning angles and possibilities:
+- Upstream and downstream node queries
+- Conditional branch reasoning
+- Path analysis and node relationships
+- Structural understanding
+- Spatial reasoning with X/Y axes
+
+## Performance Leaderboard
+
+State-of-the-art results on FlowchartBench:
+
+| Model | FlowchartBench (%) |
+|-------|-------------------|
+| **QZhou-Flowchart-VL-32B (Ours)** | **87.83** |
+| Qwen3-VL-Plus-Thinking (235B) | 86.09 |
+| Gemini-2.5-Pro | 84.42 |
+| doubao-seed-1-6 | 83.83 |
+| GPT-5 | 79.29 |
+| GLM-4.5V | 75.97 |
+| Qwen2.5-VL-32B | 73.90 |
+
+### Comparison with Base Model
+
+| Model | MMMU | CMMU | MathVista | DocVQA | FlowchartBench |
+|-------|------|------|-----------|--------|----------------|
+| Qwen2.5-VL-32B | 66.67 | 76.38 | 74.20 | 93.96 | 73.90 |
+| **QZhou-Flowchart-VL-32B** | **67.78** | **76.46** | **76.50** | 93.87 | **87.83** |
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load benchmark
+benchmark = load_dataset("Kingsoft-LLM/QZhou-Flowchart-QA-Benchmark", split="test")
+
+# Evaluate your model
+for sample in benchmark:
+    prediction = model.predict(sample['image'], sample['question'])
+    accuracy = evaluate(prediction, sample['answer'])
+```
+
+## Evaluation Protocol
+
+- **Answer Matching:** Two evaluation methods based on question type:
+  - **Exact Match:** For multiple-choice questions, direct comparison with ground truth
+  - **Normalized Edit Distance:** For open-ended questions, score calculated as `1 - (edit_distance / max_length)`
+- **Metrics:** Overall accuracy, breakdown by question type, domain, and complexity level
+- **Submission:** Open a GitHub issue with your model predictions to be added to the leaderboard
+
+## Key Features
+
+✅ **Real-world scenarios** - Flowcharts from actual deployments  
+✅ **Manual annotation** - Human-verified questions and answers  
+✅ **Quality diversity** - Various resolutions, clarity levels, and sizes  
+✅ **Comprehensive coverage** - 20+ question types across multiple domains  
+✅ **Rigorous evaluation** - Standardized protocol for fair comparison
+
+## Citation
+
+```bibtex
+@inproceedings{tricot2026,
+  title={Tri-CoT for Flowcharts: Multimodal Chain-of-Thought Reasoning with Accurate and Diverse Synthetic Diagrams},
+  author={Shuli Zheng, Yinan Zhan, Yinuo Guo, Gankun Luo, BingtaoTan, Xiang Wu, Maoxiong, Xiangdong Liu, Weixiong Liu, Yixin Zhou, Yinfei Xu},
+  booktitle={CVPR},
+  year={2026}
+}
+```