from pathlib import Path



banner_url = "https://huggingface.co/spaces/WildEval/WildBench-Leaderboard/resolve/main/%E2%80%8Eleaderboard_logo_v2.png" # the same repo here.
BANNER = f'<div style="display: flex; justify-content: space-around;"><img src="{banner_url}" alt="Banner" style="width: 40vw; min-width: 300px; max-width: 600px;"> </div>'

INTRODUCTION_TEXT= """
# OS Benchmark (Evaluating  LLMs with OS and MCQ)
🔗 [Website](https://github.com/VILA-Lab/MBZUAI-LLM-Leaderboard) | 💻 [GitHub](https://github.com/VILA-Lab/MBZUAI-LLM-Leaderboard) | 📖 [Paper](#) | 🐦 [Tweet 1](#) | 🐦 [Tweet 2](#)

> ### MBZUAI-LLM-Leaderboard, a new framework for evaluating large language models (LLMs) by transitioning from multiple-choice questions (MCQs) to open-style questions. 
This approach addresses the inherent biases and limitations of MCQs, such as selection bias and the effect of random guessing. By utilizing open-style questions, 
the framework aims to provide a more accurate assessment of LLMs' abilities across various benchmarks and ensure that the evaluation reflects true capabilities, 
particularly in terms of language understanding and reasoning.

"""

CITATION_TEXT = """@artical{..,
      title={MBZUAI-LLM-Leaderboard: From Multi-choice to Open-style Questions for LLMs Evaluation, Benchmark, and Arena}, 
      author={},
      year={2024},
      archivePrefix={arXiv}
}
"""