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:
@inproceedings{shaham-etal-2023-zeroscrolls,
title = "{Z}ero{SCROLLS}: A Zero-Shot Benchmark for Long Text Understanding",
author = "Shaham, Uri and
Ivgi, Maor and
Efrat, Avia and
Berant, Jonathan and
Levy, Omer",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2023",
month = dec,
year = "2023",
address = "Singapore",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.findings-emnlp.536",
doi = "10.18653/v1/2023.findings-emnlp.536",
pages = "7977--7989"
}
When citing ZeroSCROLLS, please make sure to cite all of the original dataset papers. [bibtex]
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