pedroodb/glosl-phoenix14t

GloSL · RWTH-PHOENIX-Weather 2014T

This repository is PRIVATE. It is part of the GloSL effort to unify continuous Sign-Language-Translation corpora into one common format (normalized pose keypoints + aligned text/gloss). Do not redistribute or make public without the steps below.

• Sign language: German Sign Language (DGS) (gsg, ISO 639-3)
• Spoken language: German (de)
• Task: continuous sign-language translation
• License: CC BY-NC-SA (verify 3.0 vs 4.0 on the badge)
• Pose redistribution (reupload_ok): public-nc-sa
• Cropped-video redistribution (video_rehost): verify
• Going PUBLIC later needs author/source authorization: YES

Citation / source

• Paper: Camgöz et al., Neural SLT, CVPR 2018
• Source page: https://www-i6.informatik.rwth-aachen.de/~koller/RWTH-PHOENIX-2014-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 container. Normalization (glosl-norm-v1) is applied at load time, not stored.
• card.json — machine-readable GloSL dataset card.

Splits

{ "train": 7096, "dev": 519, "test": 642 }

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.