Omkar2118/datasets huggingface dataset:
Slovo: Russian Sign Language Dataset
Full name: Slovo: Russian Sign Language Dataset

We introduce a large-scale video dataset **Slovo** for Russian Sign Language task. Slovo dataset size is about **16 GB**, and it contains **20400** RGB videos for **1000** sign language gestures from 194 singers. Each class has 20 samples. The dataset is divided into training set and test set by subject `user_id`. The training set includes 15300 videos, and the test set includes 5100 videos. The total video recording time is ~9.2 hours. About 35% of the videos are recorded in HD format, and 65% of the videos are in FullHD resolution. The average video length with gesture is 50 frames.

Annotation file is easy to use and contains some useful columns, see `annotations.csv` file:

|    | attachment_id | user_id | width | height | length |  text  | train   | begin | end |
|---:|:--------------|:--------|------:|-------:|-------:|-------:|:--------|:------|:----|
|  0 | de81cc1c-...  | 1b...   |  1440 |   1920 |     14 | привет | True    | 30    | 45  |
|  1 | 3c0cec5a-...  | 64...   |  1440 |   1920 |     32 |   утро | False   | 43    | 66  |
|  2 | d17ca986-...  | cf...   |  1920 |   1080 |     44 |  улица | False   | 12    | 31  |

where:  
 - `attachment_id` - video file name  
 - `user_id` - unique anonymized user ID  
 - `width` - video width  
 - `height` - video height  
 - `length` - video length  
 - `text` - gesture class in Russian Langauge  
 - `train` - train or test boolean flag  
 - `begin` - start of the gesture (for original dataset)  
 - `end` - end of the gesture (for original dataset)

Introducing paper: Slovo: Russian Sign Language Dataset