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Room-to-Room (R2R) dataset

The Room-to-Room (R2R) dataset is a benchmark for vision-and-language navigation tasks. It consists of 7,189 paths sampled from its navigation graphs, each with three ground-truth navigation instructions written by humans.

Data and Resources

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Cite this as

Chih-Yao Ma, Jiasen Lu, Zuxuan Wu, Ghassan AlRegib, Zsolt Kira, Richard Socher, Caiming Xiong (2024). Dataset: Room-to-Room (R2R) dataset. https://doi.org/10.57702/e4wqnskj

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It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.1803.07729
Citation
  • https://doi.org/10.48550/arXiv.2403.03405
  • https://doi.org/10.48550/arXiv.2110.05728
  • https://doi.org/10.48550/arXiv.1901.03035
  • https://doi.org/10.48550/arXiv.1911.07883
  • https://doi.org/10.48550/arXiv.1711.07280
  • https://doi.org/10.48550/arXiv.2107.07201
  • https://doi.org/10.48550/arXiv.2308.03244
Author Chih-Yao Ma
More Authors
Jiasen Lu
Zuxuan Wu
Ghassan AlRegib
Zsolt Kira
Richard Socher
Caiming Xiong
Homepage https://arxiv.org/abs/1807.06757