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--- |
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dataset_info: |
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- config_name: code_edit |
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features: |
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- name: unique_index |
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dtype: int64 |
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|
- name: item_name |
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|
dtype: string |
|
|
- name: image |
|
|
dtype: image |
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|
- name: edit_prompt |
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dtype: string |
|
|
- name: difficulty_level |
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|
dtype: string |
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|
- name: change_identify |
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|
dtype: string |
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|
- name: original_code |
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|
dtype: string |
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|
- name: edited_code |
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dtype: string |
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|
- name: git_diff |
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|
dtype: string |
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splits: |
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|
- name: english |
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|
num_bytes: 87865093.0 |
|
|
num_examples: 165 |
|
|
- name: french |
|
|
num_bytes: 39691856.0 |
|
|
num_examples: 68 |
|
|
- name: german |
|
|
num_bytes: 35880444.0 |
|
|
num_examples: 67 |
|
|
- name: spanish |
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|
num_bytes: 51186760.0 |
|
|
num_examples: 75 |
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|
download_size: 214624153 |
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dataset_size: 214624153 |
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|
- config_name: mockup2code |
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features: |
|
|
- name: image |
|
|
dtype: image |
|
|
- name: ground_truth |
|
|
dtype: image |
|
|
- name: sketch_type |
|
|
dtype: int64 |
|
|
- name: language |
|
|
dtype: string |
|
|
splits: |
|
|
- name: English |
|
|
num_bytes: 414902307.0 |
|
|
num_examples: 397 |
|
|
- name: French |
|
|
num_bytes: 54367567.0 |
|
|
num_examples: 91 |
|
|
- name: German |
|
|
num_bytes: 70486696.0 |
|
|
num_examples: 87 |
|
|
- name: Spanish |
|
|
num_bytes: 14543797.0 |
|
|
num_examples: 19 |
|
|
download_size: 554300367 |
|
|
dataset_size: 554300367 |
|
|
- config_name: web_qa |
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|
features: |
|
|
- name: image |
|
|
dtype: image |
|
|
- name: question |
|
|
dtype: string |
|
|
- name: ground_truth |
|
|
dtype: string |
|
|
- name: question_type |
|
|
dtype: string |
|
|
- name: language |
|
|
dtype: string |
|
|
splits: |
|
|
- name: english |
|
|
num_bytes: 306573273.0 |
|
|
num_examples: 1476 |
|
|
- name: french |
|
|
num_bytes: 78736984.0 |
|
|
num_examples: 535 |
|
|
- name: german |
|
|
num_bytes: 94020693.0 |
|
|
num_examples: 620 |
|
|
- name: spanish |
|
|
num_bytes: 98382195.0 |
|
|
num_examples: 640 |
|
|
download_size: 577713145 |
|
|
dataset_size: 577713145 |
|
|
configs: |
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- config_name: code_edit |
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data_files: |
|
|
- split: english |
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|
path: code_edit/english-00000-of-00001.parquet |
|
|
- split: french |
|
|
path: code_edit/french-00000-of-00001.parquet |
|
|
- split: german |
|
|
path: code_edit/german-00000-of-00001.parquet |
|
|
- split: spanish |
|
|
path: code_edit/spanish-00000-of-00001.parquet |
|
|
- config_name: mockup2code |
|
|
data_files: |
|
|
- split: English |
|
|
path: mockup2code/English.parquet |
|
|
- split: French |
|
|
path: mockup2code/French.parquet |
|
|
- split: German |
|
|
path: mockup2code/German.parquet |
|
|
- split: Spanish |
|
|
path: mockup2code/Spanish.parquet |
|
|
- config_name: web_qa |
|
|
data_files: |
|
|
- split: english |
|
|
path: web_qa/english.parquet |
|
|
- split: french |
|
|
path: web_qa/french.parquet |
|
|
- split: german |
|
|
path: web_qa/german.parquet |
|
|
- split: spanish |
|
|
path: web_qa/spanish.parquet |
|
|
--- |
|
|
|
|
|
# WebMMU: The Web Multimodal Understanding Benchmark |
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WebMMU is a comprehensive benchmark designed to push the boundaries of AI for the web. It challenges models to answer questions about websites, edit real HTML/CSS/JS code, and generate web layouts from mockups—across four languages and 20+ domains. Whether you're building smarter web agents or testing the limits of multimodal models, WebMMU is your go-to testbed. |
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## Key Features |
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- 🌐 **Multilingual:** English, Spanish, German, French |
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- 🧩 **Three Core Tasks:** WebQA, Code Editing, Mockup2Code |
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- 🖥️ **Real-World Data:** 20+ website domains |
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- 🔍 **Fine-Grained Evaluation:** Web Understanding & Reasoning, Agentic UI Action, and Code Generation |
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- 🤝 **Open & Human-Annotated:** Expert-verified, high-quality samples |
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--- |
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## Tasks Overview |
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### WebQA |
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Answer questions about real website screenshots—test your model's ability to reason, ground, and understand UI elements and content. |
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### Mockup2Code |
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Turn hand-drawn or digital mockups into working HTML/CSS code. Evaluate how well your model translates design into code. |
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### Code Editing |
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Edit real website code based on user instructions. Can your model make precise, functional changes to HTML, CSS, or JS? |
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## Dataset Stats |
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| | English | Spanish | German | French | Total | |
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|
|------------------|---------|---------|--------|--------|-------| |
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| Website Images | 392 | 133 | 130 | 131 | 786 | |
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| WebQA | 1476 | 484 | 379 | 456 | 2795 | |
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| Mockup2Code | 180 | 93 | 85 | 78 | 436 | |
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| Code Editing | 165 | 75 | 67 | 68 | 375 | |
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| **Total** | 2213 | 785 | 661 | 733 | 4392 | |
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--- |
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