OSQ-Leaderboard / constants.py
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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= """
# OSQ Benchmark (Evaluating LLMs with OSQs and MCQs)
πŸ”— [Website](https://vila-lab.github.io/Open-LLM-Leaderboard-Website/) | πŸ’» [GitHub](https://github.com/VILA-Lab/Open-LLM-Leaderboard) | πŸ“– [Paper](#) | 🐦 [X1](https://x.com/open_llm_lb) | 🐦 [X2](https://x.com/szq0214)
> ### Open-LLM-Leaderboard,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 = """@article{,
title={Open-LLM-Leaderboard: From Multi-choice to Open-style Questions for LLMs Evaluation, Benchmark, and Arena},
author={Aidar Myrzakhan, Sondos Mahmoud Bsharat, Zhiqiang Shen},
journal={arXiv preprint },
year={2024},
}
"""