Omkar2118/datasets huggingface dataset:
ASL-Skeleton3D

The ASL-Skeleton3D introduces a representation based on mapping into the three-dimensional space the coordinates of the signers in the ASLLVD dataset. This enables a more accurate observation of the body parts and the signs articulation, allowing researchers to better understand the language and explore other approaches to the SLR field.
ASL-Phono

The ASL-Phono introduces a novel linguistics-based representation, which describes the signs in the ASLLVD dataset in terms of a set of attributes of the American Sign Language phonology.
ASLLVD
Full name: American Sign Language Lexicon Video Dataset

Extremely important: The ASLLVD video data are subject to Terms of Use: 
http://www.bu.edu/asllrp/signbank-terms.pdf. 
By downloading these video files, you are agreeing to respect these conditions. In particular, 
NO FURTHER REDISTRIBUTION OF THESE VIDEO FILES is allowed.

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The American Sign Language Lexicon Video Dataset (ASLLVD) consists of videos of >3,300 ASL signs in citation form, each produced by 1-6 native ASL signers, for a total of almost 9,800 tokens. This dataset includes multiple synchronized videos showing the signing from different angles. Linguistic annotations include gloss labels, sign start and end time codes, start and end handshape labels for both hands, morphological and articulatory classifications of sign type. For compound signs, the dataset includes annotations for each morpheme. To facilitate computer vision-based sign language recognition, the dataset also includes numeric ID labels for sign variants, video sequences in uncompressed-raw format, and camera calibration sequences.