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from dataclasses import dataclass |
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from enum import Enum |
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@dataclass |
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class Task: |
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benchmark: str |
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metric: str |
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col_name: str |
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class Tasks(Enum): |
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task0 = Task("mmlongbench_doc", "acc", "ACC") |
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NUM_FEWSHOT = 0 |
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TITLE = """<h1 align="center" id="space-title">π₯ <a href="" target="_blank">UniGenBench</a> Leaderboard</h1>""" |
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LINKS_AND_INFO = """ |
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<div align="center"> |
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<p><a href="https://hunyuan.tencent.com/" target="_blank">Hunyuan</a>, Tencent</p> <br> |
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<a href="" target="_blank">π Homepage</a> | |
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<a href="" target="_blank">π arXiv Paper</a> | Coming soon!! |
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<a href="https://github.com/CodeGoat24/UniGenBench" target="_blank" rel="noopener noreferrer"><img alt="Code" src="https://img.shields.io/github/stars/CodeGoat24/UniGenBench.svg?style=social&label=Official"></a> |
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</div> |
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""" |
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INTRODUCTION_TEXT = """ |
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π [UniGenBench](https://github.com/CodeGoat24/UniGenBench) is a unified benchmark for T2I generation that integrates diverse prompt themes with a comprehensive suite of fine-grained evaluation criteria. |
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π§ You can use the official [GitHub repo](https://github.com/CodeGoat24/UniGenBench) to evaluate your model on [UniGenBench](https://github.com/CodeGoat24/UniGenBench). |
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π To add your own model to the leaderboard, please send an Email to [Yibin Wang](https://codegoat24.github.io/), then we will help with the evaluation and updating the leaderboard. |
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""" |
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CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results" |
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CITATION_BUTTON_TEXT = r""" |
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""" |
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