Datasets › Touchdown Dataset

Touchdown Dataset

Introduced by Howard Chen et al. in Touchdown: Natural Language Navigation and Spatial Reasoning in Visual Street Environments archive 2025-07-28

Touchdown is a corpus for executing navigation instructions and resolving spatial descriptions in visual real-world environments. The task is to follow instruction to a goal position and there find a hidden object, Touchdown the bear.

Source: https://github.com/lil-lab/touchdown Image Source: https://github.com/lil-lab/touchdown

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Vision and Language Navigation Touchdown Dataset FLAME Task Completion (TC) 40.20 FLAME: Learning to Navigate with Multimodal LLM in Urban... xyz9911/FLAME 12 Compare

Papers archive 2025-07-28

6 shown of 6 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 19. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • Touchdown Dataset

1 variant name, as the archive lists them.

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