Tri1 commited on
Commit
ffd25bb
·
verified ·
1 Parent(s): a2f6e81

Add dataset card

Browse files
Files changed (1) hide show
  1. README.md +67 -0
README.md ADDED
@@ -0,0 +1,67 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: unknown
3
+ task_categories:
4
+ - other
5
+ language:
6
+ - vi
7
+ tags:
8
+ - sign-language
9
+ - vietnamese-sign-language
10
+ - pose-estimation
11
+ - dwpose
12
+ - skeleton
13
+ size_categories:
14
+ - 10K<n<100K
15
+ ---
16
+
17
+ # Multi-VSL (front view) — DWPose skeletons
18
+
19
+ Whole-body 2D pose keypoints extracted with [DWPose](https://github.com/IDEA-Research/DWPose)
20
+ from the front-camera clips of the Multi-VSL Vietnamese Sign Language corpus.
21
+
22
+ - **28,406** clips, one `.npz` per clip, under `data/`
23
+ - Total size: ~4.6 GB
24
+
25
+ ## Contents of each `.npz`
26
+
27
+ | key | shape | dtype | description |
28
+ |---|---|---|---|
29
+ | `all_xy` | `(T, 128, 2)` | `float16` | keypoint pixel coordinates per frame |
30
+ | `all_score` | `(T, 128)` | `float16` | per-keypoint confidence |
31
+ | `detected` | `(T,)` | `int8` | 1 if a person was detected in the frame, else 0 |
32
+ | `frame_size` | `(2,)` | `int32` | source video frame size |
33
+ | `fps` | scalar | `float32` | source video frame rate |
34
+
35
+ `T` is the number of frames in the clip. The 128 keypoints follow the DWPose /
36
+ COCO-WholeBody layout: 17 body + 6 foot + 68 face + 42 hands (21 per hand).
37
+
38
+ ## File naming
39
+
40
+ ```
41
+ <session>___<view>_<device>_<signer>_<view>_<order>_<clip_index>.npz
42
+ ```
43
+
44
+ e.g. `01_Co-Hien_100-200_1-2-3_0118___center_device10_signer01_center_ord1_100.npz`
45
+
46
+ ## Usage
47
+
48
+ ```python
49
+ import numpy as np
50
+ from huggingface_hub import hf_hub_download
51
+
52
+ path = hf_hub_download(
53
+ "Tri1/Multi-VSL-front-skeleton",
54
+ "data/01_Co-Hien_100-200_1-2-3_0118___center_device10_signer01_center_ord1_100.npz",
55
+ repo_type="dataset",
56
+ )
57
+ d = np.load(path)
58
+ xy, score = d["all_xy"], d["all_score"] # (T, 128, 2), (T, 128)
59
+ ```
60
+
61
+ Download everything:
62
+
63
+ ```python
64
+ from huggingface_hub import snapshot_download
65
+ snapshot_download("Tri1/Multi-VSL-front-skeleton", repo_type="dataset",
66
+ local_dir="skeleton")
67
+ ```