"RFID positioning dataset for UPLT architecture"

"This dataset contains passive UHF RFID measurements collected for three-dimensional (3D) indoor localization research. Each sample consists of time-stamped phase and Received Signal Strength Indicator (RSSI) readings from passive RFID tags placed at known 3D coordinates within a controlled indoor environment. The dataset was constructed to support the training and evaluation of deep-learning-based localization models, and was used in the development of the UPLT (Ultra-Precise Localization Transformer) method.The data are organized as multi-tag time-series sequences, with each sequence labeled by its ground-truth (X, Y, Z) coordinates. Both raw measurements and a curated, preprocessed version are provided to facilitate reproducibility and direct benchmarking. The dataset is intended for researchers working on RF sensing, passive IoT localization, time-series modeling, and data augmentation for wireless signals."