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LSA-T: A Continuous Argentinian Sign Language Dataset

About 22 hours of video from the CN Sordos YouTube channel, split into clips with their Spanish subtitles and the signers' keypoints, for sign language translation.

Clips
8,459
Duration
≈22 hours
Source
CN Sordos (YouTube)
Resolution
1920×1080 @ 30 fps
Labels
Spanish subtitles

LSA-T is the first continuous dataset for Argentinian Sign Language (LSA). Its videos come from the CN Sordos YouTube channel, which publishes videos in LSA with Spanish subtitles. Each clip covers one subtitle, so the dataset pairs signed sentences with their Spanish translation.

For each clip the dataset includes the keypoints of every person in the frame and, when there is more than one, the person inferred to be signing.

Versions

The version described in the paper has 14,880 clips by 103 signers, with a vocabulary of 14,239 Spanish words. The current release has 8,459 clips, with metadata on the number of people in each clip and the inferred signer.

Files

Download links and a PyTorch loader are on the LSA-T project page and in the GitHub repository. The clips can also be browsed and validated on Seni.ar.

Samples

Clips from the dataset, with the detected keypoints drawn over each person and a box around the inferred signer.

A sign language interpreter in an orange shirt signing next to a news graphic about vaccination, with keypoints over her hands and face. Two people in front of a world map; the box marks the woman on the right as the signer. A woman in overalls signing outdoors among leaves, with keypoints over her hands and face.

Citing

If you use this dataset in your research, please cite LSA-T: The First Continuous Argentinian Sign Language Dataset for Sign Language Translation by P. A. Dal Bianco, G. G. Ríos, F. Ronchetti, F. M. Quiroga, O. A. Stanchi, W. Hasperué, A. Rosete (Advances in Artificial Intelligence – IBERAMIA 2022, 2022):

@inproceedings{dalbianco2022lsat,
  title={{LSA-T}: The First Continuous Argentinian Sign Language Dataset for Sign Language Translation},
  author={Dal Bianco, P. A. and Ríos, G. G. and Ronchetti, F. and Quiroga, F. M. and Stanchi, O. A. and Hasperué, W. and Rosete, Alejandro},
  booktitle={Advances in Artificial Intelligence -- IBERAMIA 2022},
  pages={293--304},
  year={2022},
  organization={Springer},
  doi={10.1007/978-3-031-22419-5_25}
}

Contact

Facundo Quiroga, {fquiroga}-at-lidi.info.unlp.edu.ar, III-LIDI, Facultad de Informática, UNLP.