WebDS / README.md
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---
datasets:
- name: WebDS
license: mit
task_categories:
- web-automation
- multi-hop-reasoning
language:
- en
size_categories:
- 10K<n<100K
source_datasets: []
pretty_name: WebDS
---
# WebDS: A Benchmark for Web-based Data Science
**WebDS** is the first end-to-end benchmark designed for evaluating agents on real-world web-based data science workflows. It contains **870 tasks** across **29 containerized websites** spanning **10 domains**, including economics, health, climate, and scientific research.
Agents are tested on:
- Multi-hop web navigation
- Structured and unstructured data processing
- Tool usage (e.g., Python scripts, visualization tools)
- Downstream task completion (e.g., reports, Reddit posts)
Tasks reflect realistic data science scenarios, such as acquiring data from government portals, comparing datasets across sites, and synthesizing insights in report-ready formats.
## 📦 Contents
This repository includes:
- `tasks/`: JSON files for all 870 benchmark tasks, with metadata and intents
- `websites/`: Dockerized replicas of 29 benchmark sites for reproducibility
- `webds_experiments/`: Code for running LLM-based agents and collecting evaluation metrics
## 🌍 Hosted Demo (Docker)
You can try a live version of the benchmark via:
**[http://ec2-18-220-211-153.us-east-2.compute.amazonaws.com:3333](http://ec2-18-220-211-153.us-east-2.compute.amazonaws.com:3333)**
This is useful for previewing the benchmark environment or debugging agent behavior before running large-scale evaluations.
## 📊 Evaluation
WebDS supports both:
- **Automatic scoring** via reference ground truths (for QA-type tasks)
- **LLM-as-a-Judge scoring** with 1–5 granular feedback and error attribution (for open-ended tasks)
## 📜 Citation
If you use WebDS in your research, please cite:
```bibtex
@inproceedings{yam2025webds,
title = {WebDS: An End-to-End Benchmark for Web-based Data Science},
author = {Yam, Hong Meng and Hsu, Ethan and Bouissou, Ines and John, Aaron Murali and Thota, Raj and Koe, Josh and Putta, Vivek Sarath and Dharesan, G K and Spangher, Alexander and Murty, Shikhar and Huang, Tenghao and Manning, Christopher D.},
booktitle = {ArXiV},
year = {2025}
}
```
# Setup of docker file
This file host the instructions for our Docker image.
## Docker image
Download the image webbenchdocker.tar.gz from the following link:
https://drive.google.com/drive/folders/1LnBfeUqwDm6kiUxDC-vF7vADsWdaAqHp
```
docker load --input webbenchdocker.tar.gz
docker run --name webbench -p 3333:80 -d webbenchdocker
```
### Shopping Website (OneStopShop) from Webarena
Download the image tar from the following mirrors:
- https://drive.google.com/file/d/1gxXalk9O0p9eu1YkIJcmZta1nvvyAJpA/view?usp=sharing
- https://archive.org/download/webarena-env-shopping-image
- http://metis.lti.cs.cmu.edu/webarena-images/shopping_final_0712.tar
```
docker load --input shopping_final_0712.tar
docker run --name shopping -p 7770:80 -d shopping_final_0712
# wait ~1 min to wait all services to start
docker exec shopping /var/www/magento2/bin/magento setup:store-config:set --base-url="http://<your-server-hostname>:7770" # no trailing slash
docker exec shopping mysql -u magentouser -pMyPassword magentodb -e 'UPDATE core_config_data SET value="http://<your-server-hostname>:7770/" WHERE path = "web/secure/base_url";'
docker exec shopping /var/www/magento2/bin/magento cache:flush
```
Now you can visit `http://<your-server-hostname>:7770`.
### E-commerce Content Management System (CMS) from webarena
Download the image tar from the following mirrors:
- https://drive.google.com/file/d/1See0ZhJRw0WTTL9y8hFlgaduwPZ_nGfd/view?usp=sharing
- https://archive.org/download/webarena-env-shopping-admin-image
- http://metis.lti.cs.cmu.edu/webarena-images/shopping_admin_final_0719.tar
```
docker load --input shopping_admin_final_0719.tar
docker run --name shopping_admin -p 7780:80 -d shopping_admin_final_0719
# wait ~1 min to wait all services to start
docker exec shopping_admin /var/www/magento2/bin/magento setup:store-config:set --base-url="http://<your-server-hostname>:7780" # no trailing slash
docker exec shopping_admin mysql -u magentouser -pMyPassword magentodb -e 'UPDATE core_config_data SET value="http://<your-server-hostname>:7780/" WHERE path = "web/secure/base_url";'
docker exec shopping_admin /var/www/magento2/bin/magento cache:flush
```
Now you can visit `http://<your-server-hostname>:7780/admin`.
### Social Forum Website (Reddit)
Download the image tar from the following mirrors:
- https://drive.google.com/file/d/17Qpp1iu_mPqzgO_73Z9BnFjHrzmX9DGf/view?usp=sharing
- https://archive.org/download/webarena-env-forum-image
- http://metis.lti.cs.cmu.edu/webarena-images/postmill-populated-exposed-withimg.tar
```
docker load --input postmill-populated-exposed-withimg.tar
docker run --name forum -p 4444:80 -d postmill-populated-exposed-withimg
```
Now you can visit `http://<your-server-hostname>:4444/`.