Radio Galaxy Zoo Dataset - Fanaroff-Riley designation using self-supervised pre-training

This dataset is obtained from the Radio Galaxy Zoo catalogue (Wong et al. 2025) and labelled by a self-supervised learning (SSL) model by Slijepcevic et al. (2023). This dataset contains 14,375 radio sources with 5,933 FRIs, 8,135 FRIIs, and 307 unclassifiable objects. Please see Buatthaisong et. al. (2025) for details. Column descriptions: RGZ_ID - source ID as given in RGZ catalogue RA - source radio right ascension (deg) DEC - source radio declination (deg) FR_Prediction - prediction result from the SSL model, where '1' is for FRI, '2' is for FRII, and '-1' is for an unclassifiable object. FR_Vote_Fraction - vote fraction from 10 fine-tuned models. Total_Flux - total flux density in mJy Max_Angular_Extent - max angular extent in arcsec