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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ task_categories:
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+ - text-classification
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+ - zero-shot-classification
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+ language:
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+ - en
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+ size_categories:
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+ - n<1K
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+ ---
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+
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+
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+
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+ For detailed information regarding the dataset or SciPrompt framework, please refer to our [Github repo](https://github.com/zhiwenyou103/SciPrompt) and the [EMNLP paper](https://aclanthology.org/2024.emnlp-main.350.pdf).
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+
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+ ## Citation Information
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+ For the use of SciPrompt and Emerging NLP benchmark, please cite:
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+ ```bibtex
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+
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+ @inproceedings{you-etal-2024-sciprompt,
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+ title = "{S}ci{P}rompt: Knowledge-augmented Prompting for Fine-grained Categorization of Scientific Topics",
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+ author = "You, Zhiwen and
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+ Han, Kanyao and
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+ Zhu, Haotian and
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+ Ludaescher, Bertram and
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+ Diesner, Jana",
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+ editor = "Al-Onaizan, Yaser and
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+ Bansal, Mohit and
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+ Chen, Yun-Nung",
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+ booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing",
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+ month = nov,
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+ year = "2024",
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+ address = "Miami, Florida, USA",
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+ publisher = "Association for Computational Linguistics",
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+ url = "https://aclanthology.org/2024.emnlp-main.350",
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+ pages = "6087--6104",
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+ }
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+ ```
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+ ## Contact Information
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+ If you have any questions, please email `zhiweny2@illinois.edu`.