Spaces:
Running
Running
| TITLE = '<h1 align="center" id="space-title">🏆 WebWalkerQA Leaderboard</h1>' | |
| INTRO_TEXT = f""" | |
| ## About | |
| This leaderboard shows the performance of models on the WebWalkerQA benchmark. The WebWalkerQA benchmark is a collection of question-answering datasets that test the ability of models to answer questions about web pages. | |
| """ | |
| HOW_TO = f""" | |
| ## How to list your model performance on this leaderboard: | |
| Send a email to [email protected] or [email protected]. | |
| """ | |
| CREDIT = f""" | |
| ## Credit | |
| To make this website, we use the following resources: | |
| - Evaluation code (EleutherAI's lm_evaluation_harness repo) | |
| - Leaderboard code (Huggingface4's open_llm_leaderboard and 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}} | |
| }} | |
| ``` | |
| """ | |