Long Range Arena (LRA) benchmark

The dataset used in this paper is the Long Range Arena (LRA) benchmark for efficient sequence models, which contains 6 tasks with lengths 1K-16K steps, encompassing modalities and objectives that require similarity, structural, and visuospatial reasoning.

Data and Resources

Cite this as

Albert Gu, Karan Goel, Christopher R´e (2024). Dataset: Long Range Arena (LRA) benchmark. https://doi.org/10.57702/gfmlwr99

DOI retrieved: December 2, 2024

Additional Info

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Created December 2, 2024
Last update December 2, 2024
Author Albert Gu
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Karan Goel
Christopher R´e
Homepage https://arxiv.org/abs/2105.01601