Transactional Filipino Sign Language Dataset

This dataset contains 1,065 .npy coordinates from video samples of Filipino Sign Language (FSL) gestures specifically curated for transactional and commercial interactions. The data was collected to support the development of Sign Language Recognition (SLR) systems aimed at bridging communication gaps in public facilities, markets, and government offices. The dataset consists of 26 distinct classes including numbers (1–10) and common transactional phrases: Yes, No, Thank You, Welcome, Again, How Much, How Many, Coin, Cash, Please, Wait, Card, Receipt, Discount, Hello, and Problem. This dataset is suitable for training and validating deep learning models (such as LSTM, GRU, or Transformers) for dynamic gesture recognition, particularly for edge computing applications in accessibility technology.