ZeroSCROLLS: Zero-Shot CompaRison Over Long Language Sequences
What is Zero-SCROLLS?
ZeroSCROLLS is a suite of datasets that require synthesizing information over long texts. The benchmark includes ten natural language tasks across multiple domains, including summarization, question answering, aggregated sentiment classification and information reordering.
Citing ZeroSCROLLS
Please use the following bibliography to cite ZeroSCROLLS:
@misc{shaham2023zeroscrolls,
title={ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding},
author={Uri Shaham and Maor Ivgi and Avia Efrat and Jonathan Berant and Omer Levy},
year={2023},
eprint={2305.14196},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
When citing ZeroSCROLLS, please make sure to cite all of the original dataset papers. [bibtex]
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