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---
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license: apache-2.0
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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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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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## 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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@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`.
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