LexBench-Browser

LexBench-Browser is a public browser-agent dataset for evaluating agents on real-web workflows. The v1.0 snapshot contains 210 no-login tasks across 107 distinct websites, with Chinese and English instructions, task-level reference steps, key points, common mistakes, scoring rubrics, and robustness tags.

Repository: https://github.com/lexmount/browseruse-agent-bench

Dataset page: https://huggingface.co/datasets/Lexmount/LexBench-Browser

Docs: https://docs.bubench.lexmount.io/

Contact: lexbench@lexmount.com

Dataset Summary

LexBench-Browser is designed to support browser-agent engineering in browseruse-agent-bench:

• run an agent against real websites
• compare local and cloud browser backends
• evaluate task success with a declared judge strategy
• inspect trajectories and failure modes
• submit reproducible leaderboard results

The dataset does not require login for the v1.0 public snapshot.

Files

LexBench-Browser/
|-- data_info.json
|-- task.jsonl
|-- task_global.jsonl
|-- task_lexmount.jsonl
`-- VERSION_HISTORY.md

Splits:

Split	File	Tasks	Notes
All	task.jsonl	210	Default public v1.0 split
global	task_global.jsonl	92	Global-region task subset
lexmount	task_lexmount.jsonl	118	Lexmount-region task subset

Fields

Each JSONL row includes:

• id: stable task id
• query: user-facing browser task
• task_type: task type label
• domain: domain category
• difficulty: easy, medium, or hard
• login_required: whether login is required
• risk_control: whether the task has risk-control constraints
• target_website: intended website or website family
• reasoning_type: reasoning complexity label
• language: zh or en
• website_region: expected region/language context
• reference_answer: reference steps, key points, common mistakes, and scoring rubric
• score_threshold: pass threshold
• robustness_tags: practical browser-agent stressors

Label Distribution

Language:

Language	Tasks
zh	137
en	73

Reasoning type:

Reasoning type	Tasks
single_step	117
multi_step	70
deep_analysis	23

Domain:

Domain	Tasks
finance_gaming	44
video_platform	42
tools_education	40
general	34
social_lifestyle	26
ecommerce	23
gaming	1

Robustness Tags

Tags cover:

• popup interference: login_popup, cookie_consent, ad_overlay
• sequence complexity: long_sequence, deep_navigation, multi_site
• content dynamics: realtime_data, lazy_load_scroll, iframe_embed
• anti-crawl behavior: captcha_verification, anti_bot, rate_limiting
• localization: chinese_rendering, cross_language
• complex interaction: filter_sort, data_extraction

Usage

git clone https://github.com/lexmount/browseruse-agent-bench.git
cd browseruse-agent-bench
uv sync --extra browser-use
uv run bubench run --agent browser-use --data LexBench-Browser --mode first_n --count 3

For official leaderboard submissions, follow the repository evaluation protocol and result submission docs.

Licensing

The LexBench-Browser dataset metadata and task definitions are released under CC-BY 4.0.

This license covers the curated task records, labels, reference steps, scoring rubrics, and metadata authored for the dataset. It does not relicense third-party website content, screenshots, traces, marks, page text, or other artifacts collected while running agents.

Repository code is licensed separately under Apache-2.0.

Limitations

• Real websites change over time, so tasks may become easier, harder, or temporarily unavailable.
• Some websites may show region-specific content, anti-bot interstitials, cookie banners, or localized layouts.
• The public v1.0 snapshot avoids login-required tasks.
• Automated judge results should be interpreted with the declared judge model, prompt strategy, benchmark version, and browser backend.

Citation

Use the repository CITATION.cff for citation metadata.