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pretty_name: WebAppEval
dataset_type: benchmark
language:
- en
tags:
- web-agents
- autonomous-agents
- benchmarking
- web-evaluation
- docker
- human-computer-interaction
---
# WebAppEval Dataset
WebAppEval is a benchmark dataset for evaluating autonomous web agents on
real-world web applications and is designed to assess agents’ abilities to navigate, reason, and act
within realistic web environments.
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## 🔍 HuggingFace Preview
This HuggingFace repository provides a **lightweight JSONL preview** of the dataset
to illustrate the task format and enable quick inspection via the Dataset Viewer.
⚠️ **Important note**:
- The JSONL file hosted here is intended **for demonstration and preview purposes only**.
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## 📦 Full Dataset, Evaluation Logic, and Environments
The **complete WebAppEval benchmark**, including:
- full nested task definitions
- detailed evaluation rules (DOM / URL / string matching)
- Dockerized web application environments
- execution and evaluation scripts
- step-by-step setup and usage instructions
is hosted on GitHub:
👉 **Full dataset, Docker environments, and documentation**:
https://github.com/nguyennguyen6bk/WebAppEval
---
## 🐳 Execution Environment
All benchmark environments are provided as **Docker containers** to ensure
reproducibility and ease of setup.
Instructions for building, running, and evaluating agents are available
in the GitHub repository.
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