license: cc-by-4.0
configs:
- config_name: Element_Classification
data_files:
- split: test
path: Element_Classification/test-*
- config_name: code_error
data_files:
- split: code_error
path: code_error/test-*
- config_name: code_function
data_files:
- split: code_function
path: code_function/test-*
dataset_info:
- config_name: Element_Classification
features:
- name: id
dtype: string
- name: question
dtype: string
- name: image_id
dtype: string
- name: image
dtype: image
- name: answer
dtype: string
- name: subtask
dtype: string
splits:
- name: test
num_bytes: 442962174
num_examples: 950
download_size: 442962174
dataset_size: 442962174
- config_name: code_error
features:
- name: id
dtype: string
- name: question
dtype: string
- name: image_id
dtype: string
- name: image
dtype: image
- name: answer
dtype: string
- name: subtask
dtype: string
splits:
- name: test
num_bytes: 2271317
num_examples: 2635
download_size: 1111530
dataset_size: 2260432.45
- config_name: code_function
features:
- name: id
dtype: string
- name: question
dtype: string
- name: image_id
dtype: string
- name: image
dtype: image
- name: answer
dtype: string
- name: subtask
dtype: string
splits:
- name: test
num_bytes: 2362615
num_examples: 2291
download_size: 1111530
dataset_size: 2260432.45
WebUIBench
Dataset for the paper: WebUIBench: A Comprehensive Benchmark for Evaluating Multimodal Large Language Models in WebUI-to-Code
Introduction
We introduce WebUIBench, a large-scale and comprehensive benchmark designed to evaluate the WebUI-to-Code capabilities of Multimodal Large Language Models (MLLMs). WebUIBench comprises over 21K question-answer pairs derived from more than 0.7K real-world websites, encompassing 9 distinct subtasks. We conducted extensive experiments on 7 state-of-the-art closed-source and 22 prominent open-source MLLMs. Our key findings highlight the models' deficiencies in webpage generation tasks across various dimensions, including cross-modality reasoning, element localization, and webpage layout generation.
Contact
- Zhiyu Lin: zyllin@bjtu.edu.cn
- Zhengda Zhou: zhengdazhou@smail.nju.edu.cn
- Zhiyuan Zhao: tuzixini@gmail.com
🚩Citation
If you find this work is helpful, please kindly cite as follows. Thanks !
@article{xx,
title={WebUIBench: A Comprehensive Benchmark for Evaluating Multimodal Large Language Models in WebUI-to-Code},
author={xx},
journal={arXiv preprint arXiv:xx},
year={2025}
}