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README.md
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- web
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- accessibility
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- repair
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- web
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- accessibility
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- repair
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---
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# A11YBench
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## 😃Dataset Summary
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A11YBench consists of 60 real-world web projects, encompassing 145 web pages and 8,874 accessibility violations detected by the IBM Accessibility Checker (4.0.9).
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The projects vary substantially in size, from 123 to 43,198 source files and from 3,610 to 1,555,532 lines of code, covering both lightweight documentation sites and large production-grade applications.
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This scale ensures that A11YBench reflects the structural and technical diversity of modern web ecosystems.
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## 🚀Dataset Features
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Real-world accessibility violations extracted from popular open-source web repositories.
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Multi-domain coverage including UI libraries, developer tools, cloud platforms, documentation sites, and more.
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Two configurations:
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A11YBench-Lite – small, quick-to-run subset (10 repos).
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A11YBench-Full – complete benchmark with all collected repositories.
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## 📃How to use it?
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### 📥 Downloading the Dataset
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You can download via HuggingFace Hub:
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```bash
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git lfs install
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git clone https://huggingface.co/datasets/LLM4APR/A11YBench
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```
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Or load directly in Python:
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```bash
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from datasets import load_dataset
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ds = load_dataset("LLM4APR/A11YBench")
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```
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### 🧩 Installing Project Instances
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Before running any repair task, you must locally checkout and install the dependencies for each project included in the benchmark.
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This setup requires a one-time manual installation and is typically fast and straightforward.
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Make sure you have the following installed:
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· Node.js
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· npm
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· pnpm
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· yarn
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Below is an example setup process using the repository ***microsoft/TypeScript-Website***.
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1. Clone the repository
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'''bash
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git clone https://github.com/microsoft/TypeScript-Website.git
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'''
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2. Checkout the version used in A11YBench
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'''bash
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git checkout 1019cfc8f96ded4729e8ccd342742534a9826a9d
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'''
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3. Install dependencies and start the project
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'''bash
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pnpm install && pnpm bootstrap && pnpm start
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'''
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Once the installation finishes, the project will be served locally.
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### 🚀 Launching the Repair Workflow
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With the project successfully running locally, you can open the webpage in your browser:
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👉 http://localhost:8000/
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You should see a page similar to this:
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### 🧪 Generating Accessibility Violations
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Next, use any Web Accessibility Checker to detect A11Y violations on the active page.
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We recommend: ***IBM Accessibility Checker***
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These tools will generate a Violation Report, which can be passed to your repair system to perform automated A11Y fixing.
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