A synthetic dataset designed to evaluate transfer learning performance for RF domain adaptation in the publication Assessing the Value of Transfer Learning Metrics for RF Domain Adaptation. The dataset contains a total of 13.8 million examples, with 600k examples each of 22 modulation schemes (given below) and AWGN noise (200k each for training, validation, and testing); 512 raw IQ samples per example.

DOI Link: 
10.21227/42v8-pj22
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Dataset Files

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[1] Lauren Wong, Sean McPherson, Alan Michaels, "Transfer Learning for RF Domain Adaptation – Synthetic Dataset", IEEE Dataport, 2022. [Online]. Available: http://dx.doi.org/10.21227/42v8-pj22. Accessed: Mar. 22, 2025.
@data{42v8-pj22-22,
doi = {10.21227/42v8-pj22},
url = {http://dx.doi.org/10.21227/42v8-pj22},
author = {Lauren Wong; Sean McPherson; Alan Michaels },
publisher = {IEEE Dataport},
title = {Transfer Learning for RF Domain Adaptation – Synthetic Dataset},
year = {2022} }
TY - DATA
T1 - Transfer Learning for RF Domain Adaptation – Synthetic Dataset
AU - Lauren Wong; Sean McPherson; Alan Michaels
PY - 2022
PB - IEEE Dataport
UR - 10.21227/42v8-pj22
ER -
Lauren Wong, Sean McPherson, Alan Michaels. (2022). Transfer Learning for RF Domain Adaptation – Synthetic Dataset. IEEE Dataport. http://dx.doi.org/10.21227/42v8-pj22
Lauren Wong, Sean McPherson, Alan Michaels, 2022. Transfer Learning for RF Domain Adaptation – Synthetic Dataset. Available at: http://dx.doi.org/10.21227/42v8-pj22.
Lauren Wong, Sean McPherson, Alan Michaels. (2022). "Transfer Learning for RF Domain Adaptation – Synthetic Dataset." Web.
1. Lauren Wong, Sean McPherson, Alan Michaels. Transfer Learning for RF Domain Adaptation – Synthetic Dataset [Internet]. IEEE Dataport; 2022. Available from : http://dx.doi.org/10.21227/42v8-pj22
Lauren Wong, Sean McPherson, Alan Michaels. "Transfer Learning for RF Domain Adaptation – Synthetic Dataset." doi: 10.21227/42v8-pj22