| TITLE = '<h1 align="center" id="space-title">Open Multilingual LLM Evaluation Leaderboard</h1>' | |
| INTRO_TEXT = f""" | |
| ## About | |
| This leaderboard shows the performance of pretrained models in 29 languages on four benchmarks: | |
| - <a href="https://arxiv.org/abs/1803.05457" target="_blank"> AI2 Reasoning Challenge </a> (25-shot) | |
| - <a href="https://arxiv.org/abs/1905.07830" target="_blank"> HellaSwag </a> (10-shot) | |
| - <a href="https://arxiv.org/abs/2009.03300" target="_blank"> MMLU </a> (5-shot) | |
| - <a href="https://arxiv.org/abs/2109.07958" target="_blank"> TruthfulQA </a> (0-shot) | |
| The evaluation data was translated into 29 languages using ChatGPT. | |
| """ | |
| HOW_TO = f""" | |
| ## How to list your model performance on this leaderboard: | |
| Send an email with title [Open mLLM Loaderboard] to vietl@uoregon.edu with the huggingface's model name. | |
| We will run your model on the four benchmarks and add it to the leaderboard. | |
| """ | |
| CREDIT = f""" | |
| ## Credit | |
| To make this website, we use the following resources: | |
| - Datasets (AI2_ARC, HellaSwag, MMLU, TruthfulQA) | |
| - Funding and GPU access (Adobe Research) | |
| - Evaluation code (EutherAI's lm_evaluation_harness repo) | |
| - Leaderboard code (Huggingface4's open_llm_leaderboard repo) | |
| """ | |
| CITATION = f""" | |
| ## Citation | |
| ``` | |
| @misc{{lai2023openllmbenchmark, | |
| author = {{Viet Lai and Nghia Trung Ngo and Amir Pouran Ben Veyseh and Franck Dernoncourt and Thien Huu Nguyen}}, | |
| title={{Open Multilingual LLM Evaluation Leaderboard}}, | |
| year={{2023}} | |
| }} | |
| ``` | |
| """ | |