The dataset is obtained from the Signal Identification Guide (SIGID) wiki, an organized database of information on radio signals. It contains audio samples (.wav, .mp3, .ogg), spectrogram images (.png) and metadata on radio signals in two .csv files. Each signal is characterized by signal type, frequency, bandwidth, modulation type, location, sample audio, spectrogram and a short description. They were received and recorded using software defined radio, and most of the audio samples have been demodulated from IQ energy information to audio. The dataset is created by crawling the SIGID wiki website to gather the data on known and unknown signals, updated last time in February 2021. We include two python scripts that can be used to produce audio chunks and corresponding spectrograms, which were used to train the self-organizing map models in the research projects.