---
license: apache-2.0
language:
- zh
- en
tags:
- browser-agent
- web-automation
- benchmark
- evaluation
size_categories:
- n<1K
task_categories:
- question-answering
- text-generation
configs:
- config_name: LexBench-Browser
  data_files:
  - split: l1
    path: LexBench-Browser/l1.jsonl
---

# LexBench-Browser

A public subset of LexBench-Browser benchmark for evaluating AI agents on web browsing tasks.

## Dataset Description

LexBench-Browser is a benchmark designed to evaluate AI Agents on real-world web browsing tasks. This public subset contains **187 tasks** that do not require login credentials, making them suitable for open evaluation.

### Dataset Statistics

| Attribute | Value |
|-----------|-------|
| Total Tasks | 187 |
| Version | 2.0 |
| Scenario Tier | L1 (No login required) |
| Languages | Chinese (115), English (72) |

#### Domain Distribution

| Domain | Count |
|--------|-------|
| ecommerce | 25 |
| finance_gaming | 41 |
| general | 6 |
| social_lifestyle | 28 |
| tools_education | 44 |
| video_platform | 43 |

## Download

### Using Hugging Face Datasets

```python
from datasets import load_dataset

dataset = load_dataset("Lexmount/LexBench-Browser")

# Access a specific split
l1_tasks = dataset["l1"]
print(l1_tasks[0])
```

### For Users in China (Mirror)

If you have difficulty accessing Hugging Face, use the mirror:

```python
import os
os.environ['HF_ENDPOINT'] = 'https://hf-mirror.com'

from datasets import load_dataset
dataset = load_dataset("Lexmount/LexBench-Browser")
```

Or set environment variable before running:

```bash
export HF_ENDPOINT=https://hf-mirror.com
python your_script.py
```

### Manual Download

```bash
# Install huggingface-cli if not installed
pip install huggingface_hub

# Download dataset
huggingface-cli download Lexmount/LexBench-Browser --repo-type dataset --local-dir ./data
```

For China users:
```bash
export HF_ENDPOINT=https://hf-mirror.com
huggingface-cli download Lexmount/LexBench-Browser --repo-type dataset --local-dir ./data
```


### Task Format

Each task contains the following fields:

```json
{
  "id": 1,
  "query": "Task description",
  "scenario_tier": "L1",
  "task_type": "T1",
  "reasoning_type": "multi_step",
  "domain": "ecommerce",
  "difficulty": "medium",
  "login_required": false,
  "target_website": "www.example.com",
  "language": "zh",
  "website_region": "zh",
  "reference_answer": {
    "steps": ["Step 1", "Step 2"],
    "key_points": ["Key point 1"],
    "common_mistakes": ["Common mistake 1"],
    "scoring": {
      "total": 100,
      "items": [{"name": "...", "score": 30, "description": "..."}],
      "deductions": [{"reason": "...", "penalty": 20}]
    }
  }
}
```

### Field Descriptions

- **scenario_tier**: `L1` - Tasks that do not require login
- **task_type**: `T1` (Information retrieval) or `T2` (Operation execution)
- **reasoning_type**: `single_step`, `multi_step`, `cross_platform`, or `deep_analysis`
- **domain**: Business domain (ecommerce, social_lifestyle, video_platform, etc.)
- **difficulty**: `easy`, `medium`, or `hard`
- **language**: Task description language (`zh` for Chinese, `en` for English)
- **website_region**: Target website region (`zh` for Chinese sites, `en` for international sites)

## Related Resources

- [LexBench-Browser-Private](https://huggingface.co/datasets/Lexmount/LexBench-Browser-Private) - Private subset requiring login (L2/L3)
- [LexBench-Online-Mind2Web](https://huggingface.co/datasets/Lexmount/LexBench-Online-Mind2Web) - Online Mind2Web benchmark

## License

Apache 2.0

## Citation

If you use this dataset, please cite:

```bibtex
@misc{lexbench-browser-2026,
  title={LexBench-Browser: A Benchmark for Web Browsing AI Agents},
  author={Lexmount},
  year={2026},
  publisher={Hugging Face},
  url={https://huggingface.co/datasets/Lexmount/LexBench-Browser}
}
```