TITLE = '<h1 align="center" id="space-title">🏆 WebWalkerQA Leaderboard</h1>'

INTRO_TEXT = f"""
## 📖 About
This leaderboard showcases the performance of models on the **WebWalkerQA benchmark**. WebWalkerQA is a collection of question-answering datasets designed to test models' ability to answer questions about web pages.
"""

HOW_TO = f"""
## 🗂️ Data
The WebWalkerQA dataset is available on 🤗 [Hugging Face](https://huggingface.co/datasets/callanwu/WebWalkerQA). It comprises **680 question-answer pairs**, each linked to a corresponding web page. The benchmark is divided into two key components:

- **Agent 🤖️**
- **RAG-system 🔍**

## 🚀 How to Submit Your Method

### 📝 Submission Steps:
To list your method's performance on this leaderboard, email **jialongwu@alibaba-inc.com** or **jialongwu@seu.edu.cn** with the following:

1. A JSONL file in the format:
   ```jsonl
   {{"question": "question_text", "prediction": "predicted_answer_text"}}
   ```
2. Include the following details in your email:
   - **User Name**
   - **Type** (RAG-system or Agent)
   - **Method Name**

Your method will be evaluated and added to the leaderboard. For reference, check out the [evaluation code](https://github.com/Alibaba-NLP/WebWalker/src/evaluate.py).

We will evaluate the performance of your method and list it on the leaderboard.

For reference, you can check the [evaluation code](https://github.com/Alibaba-NLP/WebWalker/src/evaluate.py).
"""

CREDIT = f"""
## 🙌 Credit
This website is built using the following resources:

- **Evaluation Code**: Langchain's cot_qa evaluator
- **Leaderboard Code**: Huggingface4's open_llm_leaderboard
"""


CITATION = f"""
## 🚩Citation

If this work is helpful, please kindly cite as:

```bigquery
@misc{{wu2025webwalker,
      title={{WebWalker: Benchmarking LLMs in Web Traversal}},
      author={{Jialong Wu and Wenbiao Yin and Yong Jiang and Zhenglin Wang and Zekun Xi and Runnan Fang and Deyu Zhou and Pengjun Xie and Fei Huang}},
      year={{2025}},
      eprint={{2501.07572}},
      archivePrefix={{arXiv}},
      primaryClass={{cs.CL}},
      url={{https://arxiv.org/abs/2501.07572}},
}}
```
"""