The file most commonly refers to a compressed data archive within major research datasets for computer vision and machine learning. Depending on your field of study, it likely belongs to one of the following two prominent open-source projects: 1. LSA-T: Argentinian Sign Language Dataset
Ensure all parts (e.g., clips.7z.001 through clips.7z.010 ) are in the same folder. Clips.7z
These clips are used to train models for Sign Language Translation (SLT) . They are synchronized with a meta.csv file that provides Spanish translations and keypoint metadata. The file most commonly refers to a compressed
It is used for researching Compound Affective Computing , where researchers analyze multiple or single emotional labels and bilingual descriptive text associated with each clip. These clips are used to train models for
It contains 8,459 video clips in MP4 format (Full HD, 30 FPS).
Because these datasets are large, "Clips.7z" is frequently distributed as a .
You can find the primary documentation and the "Clips.7z" download links on the LSA-T GitHub page . 2. MAFW: Multi-modal Affective Database