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README.md

@@ -1,3 +1,162 @@
----
-license: apache-2.0
----
+---
+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}
+}
+```