Datasets › How2Sign

How2Sign (A Large-scale Multimodal Dataset for Continuous American Sign Language)

Introduced by Amanda Duarte et al. in How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language18 Aug 2020 archive 2025-07-28

The How2Sign is a multimodal and multiview continuous American Sign Language (ASL) dataset consisting of a parallel corpus of more than 80 hours of sign language videos and a set of corresponding modalities including speech, English transcripts, and depth. A three-hour subset was further recorded in the Panoptic studio enabling detailed 3D pose estimation.

Benchmarks archive 2025-07-28

All 3 leaderboards 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.

Papers archive 2025-07-28

2 shown of 2 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 44. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Sign Language Translation from Instructional Videos 1 1 13 Apr 2023 not harvested
INR-V: A Continuous Representation Space for Video-based Generative Tasks 3 2 29 Oct 2022 not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Creative Commons Attribution-NonCommercial 4.0 International License

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • How2Sign

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections