Datasets:
GloSL — 2M-Flores-ASL (American Sign Language, FLORES-200 dev/devtest)
Part of GloSL, a set of continuous sign language translation corpora in one format.
- Sign language: American Sign Language (ASL) (
ase) - Spoken language: English (
en) - Domain: FLORES-200 sentences (Wikinews/Wikivoyage/Wikibooks), studio
- Samples: 2,015 (10.69 h) — splits {'train': 0, 'dev': 999, 'test': 1016}
- Split policy: predefined (FLORES dev -> dev, devtest -> test; no train split: evaluation benchmark)
- License: CC BY-SA 4.0 — public; source: https://huggingface.co/datasets/facebook/2M-Flores-ASL
- Cite: Costa-jussà et al., 2M-BELEBELE, arXiv:2412.08274 (2024)
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: MediaPipe Holistic 0.10.21 (model_complexity 1) on the hosted clip.
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