pedroodb/glosl-lsat

GloSL — LSA-T — Continuous Argentinian Sign Language

Part of GloSL, a set of continuous sign language translation corpora in one format.

• Sign language: Lengua de Señas Argentina (LSA) (aed)
• Spoken language: Spanish (es)
• Domain: news and informative videos from the CN Sordos YouTube channel
• Samples: 8,459 (22.58 h) — splits {'train': 6747, 'dev': 898, 'test': 814}
• Split policy: glosl-splits-v1, glosl — GloSL-defined (grouped_temporal): Episode-disjoint (one weekly news summary = one group), stratified over time so dev and test episodes span the whole 2020-2022 period. Replaces the official clip-level random split, where every test clip's episode is also in train (kept in splits/original.csv). (see card.json and diagnostics/)
• License: repo MIT (code only); dataset data unlicensed — public; source: https://midusi.github.io/LSA-T/
• Cite: Dal Bianco et al., LSA-T, IBERAMIA 2022 (arXiv:2211.15481)

Files

annotations.csv, card.json, poses/<NNNN>/<id>.pose, videos/<NNNN>/<id>.mp4 (same frames as the pose). card.json holds the full provenance.

annotations.csv columns (same in every GloSL dataset; empty when not applicable): id, split, text, gloss, gloss_type, signer, start, end, fps, n_frames, video_ref, pose_file, video_file.

Poses

mediapipe-holistic, 543 points (POSE_LANDMARKS 33, FACE_LANDMARKS 468, LEFT_HAND_LANDMARKS 21, RIGHT_HAND_LANDMARKS 21), 3D. Coordinates: pixels of the frame the pose refers to (header width x height, depth 0); z raw. Confidence: body = MediaPipe visibility (1.0 where the source shipped none); face/hands 1 when detected; missing point = (0,0,0) with confidence 0. Frame rate: native, per file (also in annotations.csv). Normalization (glosl-norm-v1) is applied at load time, not stored. Note: reused from slt_datasets MediaPipe-Holistic .npy (KB/12); normalization applied at LOAD time (KB/05)