SCROLLS: Standardized CompaRison Over Long Language Sequences
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What is SCROLLS?
SCROLLS is a suite of datasets that require synthesizing information over long texts. The benchmark includes seven natural language tasks across multiple domains, including summarization, question answering, and natural language inference.
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Citing SCROLLS
Please use the following bibliography to cite SCROLLS:
@inproceedings{shaham-etal-2022-scrolls,
title = "{SCROLLS}: Standardized {C}ompa{R}ison Over Long Language Sequences",
author = "Shaham, Uri and Segal, Elad and Ivgi, Maor and Efrat, Avia and Yoran, Ori and Haviv, Adi and Gupta, Ankit and Xiong, Wenhan and Geva, Mor and Berant, Jonathan and Levy, Omer",
booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
month = dec,
year = "2022",
address = "Abu Dhabi, United Arab Emirates",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.emnlp-main.823",
pages = "12007--12021"
}
When citing SCROLLS, please make sure to cite all of the original dataset papers. [bibtex]
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