| --- |
| license: cc-by-4.0 |
| task_categories: |
| - visual-question-answering |
| - image-text-to-text |
| language: |
| - en |
| tags: |
| - vlm |
| - mllm |
| pretty_name: VisFactor |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # Human Cognitive Benchmarks Reveal Foundational Visual Gaps in MLLMs |
|
|
| ## 👁️Overview |
|
|
| This repository contains the official dataset of **VisFactor**, a novel benchmark derived from the Factor-Referenced Cognitive Test (FRCT) that digitizes 20 vision-centric subtests from established cognitive psychology assessments. Our work systematically investigates the gap between human visual cognition and state-of-the-art Multimodal Large Language Models (MLLMs). |
|
|
| ## 🎯 Key Features |
|
|
| - **Comprehensive Evaluation**: 4 core domains of human visual cognition |
| - **Visualization and Spatial Processing**: Mental rotation, spatial relations |
| - **Perceptual and Closure**: Figure-ground discrimination, pattern completion |
| - **Memory**: Visual working memory, recognition tasks |
| - **Reasoning**: Abstract visual reasoning, analogical thinking |
| - **Extensive Model Coverage**: 39 frontier MLLMs from GPT, Gemini, Claude, LLaMA, Qwen, and SEED families |
| - **Rigorous Assessment**: Based on well-established psychometric tests (FRCT) |
|
|
| ## 🚀 Quick Start |
|
|
| > **Note**: This evaluation framework is built on [VLMEvalKit](https://github.com/open-compass/VLMEvalKit/tree/main). For detailed information beyond this guide, please refer to their repository. We extend our sincere gratitude to the VLMEvalKit team for their excellent work. |
|
|
| ### Installation |
|
|
| ```bash |
| git clone https://anonymous.4open.science/r/VisFactor-NeurIPS-ED-2026.git |
| cd VisFactor |
| pip install -r requirements.txt |
| ``` |
|
|
| ### Preparation |
|
|
| 1. **Download the VisFactor dataset** |
|
|
| ```bash |
| mkdir -p ~/LMUData |
| cd ~/LMUData |
| # Download files will be placed here |
| ``` |
|
|
| Place `VisFactor.tsv` and `VisFactor_CoT.tsv` in this directory. |
|
|
| 2. **Configure API credentials** |
|
|
| ```bash |
| cd VisFactor/ |
| vim .env # or use any text editor |
| ``` |
|
|
| Example `.env` configuration: |
|
|
| ``` |
| # OpenAI |
| OPENAI_API_KEY=your_openai_key |
| OPENAI_API_BASE=https://api.openai.com/v1 |
| |
| # Google |
| GOOGLE_API_KEY=your_google_key |
| |
| # Other Services |
| STEPAI_API_KEY=your_stepai_key |
| REKA_API_KEY=your_reka_key |
| GLMV_API_KEY=your_glmv_key |
| SENSENOVA_API_KEY=your_sensenova_key |
| MOONSHOT_API_KEY=your_kimi_key |
| DOUBAO_VL_KEY=your_doubao_key |
| |
| # Hunyuan-Vision |
| HUNYUAN_SECRET_KEY=your_hunyuan_key |
| HUNYUAN_SECRET_ID=your_hunyuan_id |
| |
| # Deployment Services |
| CW_API_BASE=your_congwang_base |
| CW_API_KEY=your_congwang_key |
| LMDEPLOY_API_BASE=your_lmdeploy_base |
| ``` |
|
|
| ### Evaluation |
|
|
| #### Standard Evaluation |
|
|
| ```bash |
| python3 run.py --data VisFactor --model GeminiPro2-5 --verbose |
| ``` |
|
|
| #### Chain-of-Thought (CoT) Evaluation |
|
|
| ```bash |
| python3 run.py --data VisFactor_CoT --model GeminiPro2-5 --verbose |
| ``` |
|
|
| ### Command Arguments |
|
|
| | Argument | Type | Default | Description | |
| | ------------- | --------- | -------- | ------------------------------------------------------------ | |
| | `--model` | list[str] | required | VLM names supported in VLMEvalKit (see `supported_VLM` in `vlmeval/config.py`) | |
| | `--mode` | str | 'all' | Evaluation mode: 'all' (inference + evaluation) or 'infer' (inference only) | |
| | `--api-nproc` | int | 4 | Number of threads for API requests | |
| | `--work-dir` | str | '.' | Directory to save evaluation results | |
| | `--reuse` | flag | False | Use previously generated results if available | |
|
|
| ## ⚙️Generate testcases |
|
|
| We also provide a script to automatically generate some test cases, including CF1-3, CS1-3, MA1, S1-2, SS3, VZ1-2. |
|
|
| First, prepare some images: |
|
|
| ```bash |
| mkdir visfactor/Collected_Figures |
| ``` |
|
|
| Place your images in this folder, then run the script to generate new questions: |
|
|
| ```bash |
| cd visfactor |
| python3 generate_images.py |
| ``` |
