---
pretty_name: LSA-T — Continuous Argentinian Sign Language
license: other
language:
- es
tags:
- sign-language-translation
- glosl
- pose
- aed
task_categories:
- translation
---

# GloSL · LSA-T — Continuous Argentinian Sign Language

It is part of the GloSL effort to unify continuous Sign-Language-Translation corpora into one common
format (normalized pose keypoints + aligned text/gloss).

- **Sign language:** Lengua de Señas Argentina (LSA) (`aed`, ISO 639-3)
- **Spoken language:** Spanish (`es`)
- **Task:** continuous sign-language translation
- **License:** repo MIT (code only); dataset data unlicensed
- **Pose redistribution (`reupload_ok`):** `public`
- **Cropped-video redistribution (`video_rehost`):** `permitted` — see note below
- **Video provenance / permission:** the source video originates from the **Canal Sordos Argentina
  (CN Sordos)** YouTube channel and is republished here **WITH the channel's explicit permission**.
  Pose + video are hosted publicly on this basis; no further author authorization is required.

## Citation / source
- Paper: Dal Bianco et al., LSA-T, IBERAMIA 2022 (arXiv:2211.15481)
- Source page: https://midusi.github.io/LSA-T/

## Contents
- `annotations.csv` — GloSL common-core: `id, split, text` (+ `gloss`/`signer`/`start`/`end` where present)
- `poses/<id>.pose` — MediaPipe-Holistic keypoints (543 pts: 33 body + 468 face + 21+21 hands) in the
  ecosystem-standard [`.pose`](https://github.com/sign-language-processing/pose) container. Normalization
  (`glosl-norm-v1`) is applied at **load** time, not stored.
- `card.json` — machine-readable GloSL dataset card.

## Splits
{
  "dev": 1354,
  "train": 5413,
  "test": 1692
}

## Pose provenance
Reused from the group's harmonized `slt_datasets` MediaPipe-Holistic `.npy` (see GloSL KB/12); repackaged
to `.pose` by `glosl-datasets`. Estimator: `mediapipe-holistic`, dims=3.

## Video
LSA-T videos are the dataset's own per-utterance signer clips (CN Sordos, signer-centric; ~1 person/frame at 1920x1080). Stored at source framing; not additionally YOLO-bbox-cropped in v1. **Republished with the explicit permission of the CN Sordos (Canal Sordos Argentina) YouTube channel.**