docs: refresh README for v3.0 (single task.jsonl, 220 tasks, no scenario_tier)
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README.md
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configs:
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- config_name: LexBench-Browser
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data_files:
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path: LexBench-Browser/
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---
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# LexBench-Browser
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## Dataset Description
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LexBench-Browser
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### Dataset Statistics
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| Attribute | Value |
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| Total
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#### Domain Distribution
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| Domain | Count |
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|--------|-------|
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## Download
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from datasets import load_dataset
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dataset = load_dataset("Lexmount/LexBench-Browser")
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l1_tasks = dataset["l1"]
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print(l1_tasks[0])
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```
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### For Users in China (Mirror)
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If you have difficulty accessing Hugging Face, use the mirror:
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```python
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import os
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os.environ['HF_ENDPOINT'] = 'https://hf-mirror.com'
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dataset = load_dataset("Lexmount/LexBench-Browser")
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```
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Or set
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```bash
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export HF_ENDPOINT=https://hf-mirror.com
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### Manual Download
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```bash
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# Install huggingface-cli if not installed
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pip install huggingface_hub
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# Download dataset
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huggingface-cli download Lexmount/LexBench-Browser --repo-type dataset --local-dir ./data
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```
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For China users:
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```bash
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export HF_ENDPOINT=https://hf-mirror.com
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huggingface-cli download Lexmount/LexBench-Browser --repo-type dataset --local-dir ./data
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```
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### Task Format
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Each task contains the following fields:
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```json
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{
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"id": 1,
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"query": "Task description",
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"scenario_tier": "L1",
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"task_type": "T1",
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"reasoning_type": "multi_step",
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"domain": "ecommerce",
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"difficulty": "medium",
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"login_required": false,
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"target_website": "www.example.com",
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"language": "zh",
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"website_region": "zh",
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"common_mistakes": ["Common mistake 1"],
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"scoring": {
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"total": 100,
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"items": [{"name": "...", "score": 30, "description": "..."}]
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"deductions": [{"reason": "...", "penalty": 20}]
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}
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}
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}
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```
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### Field
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- **task_type**: `T1` (Information retrieval) or `T2` (Operation execution)
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- **reasoning_type**: `single_step`, `multi_step`, `cross_platform`, or `deep_analysis`
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- **domain**: Business domain (ecommerce, social_lifestyle, video_platform, etc.)
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- **difficulty**: `easy`, `medium`, or `hard`
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- **language**: Task description language (`zh` for Chinese, `en` for English)
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- **website_region**: Target website region (`zh` for Chinese sites, `en` for international sites)
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## Related Resources
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- [LexBench-Browser-Private](https://huggingface.co/datasets/Lexmount/LexBench-Browser-Private)
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- [LexBench-Online-Mind2Web](https://huggingface.co/datasets/Lexmount/LexBench-Online-Mind2Web) - Online Mind2Web benchmark
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## License
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## Citation
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If you use this dataset, please cite:
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```bibtex
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@misc{lexbench-browser-2026,
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title={LexBench-Browser: A Benchmark for Web Browsing AI Agents},
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configs:
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- config_name: LexBench-Browser
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data_files:
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- split: All
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path: LexBench-Browser/task.jsonl
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---
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# LexBench-Browser
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Public release of the LexBench-Browser benchmark for evaluating AI browser agents on real-world web tasks.
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## Dataset Description
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LexBench-Browser evaluates AI agents on multi-step browsing tasks across 50+ Chinese and English websites — e-commerce, social, video, tools/education, finance, and more. This public release contains **220 tasks** that do not gate on user login, suitable for open evaluation. The full dataset (including login-gated tasks) is available in the private mirror.
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### Dataset Statistics (v3.0, 2026-04-28)
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| Attribute | Value |
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|-----------|-------|
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| Total tasks | 220 |
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| Version | 3.0 |
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| Languages | Chinese (142), English (78) |
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#### Task type
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| Type | Count | Description |
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|------|-------|-------------|
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| T1 | 175 | Information retrieval |
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| T2 | 45 | Website operations |
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#### Reasoning type
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| Reasoning | Count |
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|-----------|-------|
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| single_step | 122 |
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| multi_step | 74 |
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| deep_analysis | 24 |
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#### Domain Distribution
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| Domain | Count |
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|--------|-------|
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| finance_gaming | 45 |
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| video_platform | 44 |
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| tools_education | 41 |
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| general | 34 |
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| social_lifestyle | 31 |
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| ecommerce | 24 |
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| gaming | 1 |
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## Download
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from datasets import load_dataset
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dataset = load_dataset("Lexmount/LexBench-Browser")
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all_tasks = dataset["All"]
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print(all_tasks[0])
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```
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### For Users in China (Mirror)
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```python
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import os
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os.environ['HF_ENDPOINT'] = 'https://hf-mirror.com'
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dataset = load_dataset("Lexmount/LexBench-Browser")
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```
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Or set the variable before running:
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```bash
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export HF_ENDPOINT=https://hf-mirror.com
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### Manual Download
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```bash
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pip install huggingface_hub
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huggingface-cli download Lexmount/LexBench-Browser --repo-type dataset --local-dir ./data
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```
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For China users:
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```bash
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export HF_ENDPOINT=https://hf-mirror.com
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huggingface-cli download Lexmount/LexBench-Browser --repo-type dataset --local-dir ./data
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```
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## Task Format
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```json
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{
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"id": 1,
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"query": "Task description",
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"task_type": "T1",
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"reasoning_type": "multi_step",
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"domain": "ecommerce",
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"difficulty": "medium",
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"login_required": false,
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"login_type": "",
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"target_website": "www.example.com",
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"language": "zh",
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"website_region": "zh",
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"common_mistakes": ["Common mistake 1"],
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"scoring": {
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"total": 100,
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"items": [{"name": "...", "score": 30, "description": "..."}]
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}
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},
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"score_threshold": 60,
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"robustness_tags": ["chinese_rendering", "data_extraction"]
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}
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```
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### Field descriptions
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- **task_type**: `T1` (information retrieval) or `T2` (website operations).
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- **reasoning_type**: `single_step` | `multi_step` | `cross_platform` | `deep_analysis`.
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- **domain**: business domain (`ecommerce`, `social_lifestyle`, `video_platform`, `tools_education`, `finance_gaming`, `general`, `gaming`).
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- **difficulty**: `easy` | `medium` | `hard`.
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- **language**: task description language (`zh` for Chinese, `en` for English).
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- **website_region**: target website region (`zh` for Chinese sites, `en` for international sites).
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- **login_required**: whether the task is login-gated. Almost all public tasks are `false`; a small number of API-style tasks are `true`.
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- **robustness_tags**: ordered, deduplicated list across 6 categories / 16 tags (popup interference, sequence complexity, content dynamics, anti-crawl, localization, complex interaction).
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> **Migration note (v2.x → v3.0)**: the per-record `scenario_tier` field has been removed and the per-tier files (`l1.jsonl`, `l2.jsonl`, `l3-api.jsonl`, `l3-security.jsonl`, `tasks.jsonl`) have been replaced by a single `task.jsonl`. Slice the data with `login_required`, `domain`, or `risk_control` instead.
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## Related Resources
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- [Lexmount/LexBench-Browser-Private](https://huggingface.co/datasets/Lexmount/LexBench-Browser-Private) — full dataset including login-gated tasks (377 tasks).
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## License
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## Citation
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```bibtex
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@misc{lexbench-browser-2026,
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title={LexBench-Browser: A Benchmark for Web Browsing AI Agents},
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