--- license: unknown task_categories: - other language: - vi tags: - sign-language - vietnamese-sign-language - pose-estimation - dwpose - skeleton size_categories: - 10K/.npz` — 30 signer directories, 628–1,167 clips each (HF rejects directories holding more than 10,000 files, so a flat tree is not possible here) ## Contents of each `.npz` | key | shape | dtype | description | |---|---|---|---| | `all_xy` | `(T, 128, 2)` | `float16` | keypoint pixel coordinates per frame | | `all_score` | `(T, 128)` | `float16` | per-keypoint confidence | | `detected` | `(T,)` | `int8` | 1 if a person was detected in the frame, else 0 | | `frame_size` | `(2,)` | `int32` | source video frame size | | `fps` | scalar | `float32` | source video frame rate | `T` is the number of frames in the clip. The 128 keypoints follow the DWPose / COCO-WholeBody layout: 17 body + 6 foot + 68 face + 42 hands (21 per hand). ## File naming ``` ________.npz ``` e.g. `01_Co-Hien_100-200_1-2-3_0118___center_device10_signer01_center_ord1_100.npz` ## Usage ```python import numpy as np from huggingface_hub import hf_hub_download path = hf_hub_download( "Tri1/Multi-VSL-front-skeleton", "data/signer01/01_Co-Hien_100-200_1-2-3_0118___center_device10_signer01_center_ord1_100.npz", repo_type="dataset", ) d = np.load(path) xy, score = d["all_xy"], d["all_score"] # (T, 128, 2), (T, 128) ``` Download everything, or just one signer: ```python from huggingface_hub import snapshot_download snapshot_download("Tri1/Multi-VSL-front-skeleton", repo_type="dataset", local_dir="skeleton") snapshot_download("Tri1/Multi-VSL-front-skeleton", repo_type="dataset", allow_patterns="data/signer01/*", local_dir="skeleton") ```