A Lightweight Hybrid Transformer-CNN Architecture for Real-Time Railway Event Recognition with Fiber-Optic Distributed Acoustic Sensor

The dataset consists of raw one-dimensional DAS acoustic signals collected from a field-deployed DAS system along a pilot railway line in Xiamen, China. The dataset contains six classes of railway-related acoustic events, including background noise，train passing and representative mechanical disturbances, as shown in the following figure.