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content.py
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TITLE = """<h1 align="center" id="space-title">TravelPlanner Leaderboard</h1>"""
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INTRODUCTION_TEXT = """
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TravelPlanner is a benchmark crafted for evaluating language agents in tool-use and complex planning within multiple constraints. (See our [paper]
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## Data
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In TravelPlanner, for a given query, language agents are expected to formulate a comprehensive plan that includes transportation, daily meals, attractions, and accommodation for each day.
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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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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}"""
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TITLE = """<h1 align="center" id="space-title">TravelPlanner Leaderboard</h1>"""
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INTRODUCTION_TEXT = """
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TravelPlanner is a benchmark crafted for evaluating language agents in tool-use and complex planning within multiple constraints. (See our [paper]https://arxiv.org/pdf/2402.01622.pdf) for more details.)
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## Data
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In TravelPlanner, for a given query, language agents are expected to formulate a comprehensive plan that includes transportation, daily meals, attractions, and accommodation for each day.
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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"""@article{Xie2024TravelPlanner,
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author = {Jian Xie, Kai Zhang, Jiangjie Chen, Tinghui Zhu, Renze Lou, Yuandong Tian, Yanghua Xiao, Yu Su},
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title = {TravelPlanner: A Benchmark for Real-World Planning with Language Agents},
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journal = {arXiv preprint arXiv: 2402.01622},
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year = {2024}
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}"""
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