The dataset is approved for public release, distribution unlimited.
The dataset is contained in two files - scrimmage4_link_dataset.pickle and scrimmage5_link_dataset.pickle
The pickle files are stored as list of tuples, each list corresponding to a single link, and containing two elements. Each element a length equal to the number of frames in that link - it varies between link to link. The first tuple is contains the paramenters - 1. Signal to Noise Ratio ('snr') - 1 element 2. The Modulation and Coding Scheme ('mcs') - 1 element 3. The center frequency of the link ('centerFreq') - 1 element 4. The bandwidth of the link ('bandwidth') - 1 element 5. The Power Spectral Density ('psd') - 16 elements Thus the total width of each element of the first tuple for a link is 20.
The second tuple contains the success of transmission ('rxSuccess'). If it is 1, there is no frame error, if it is 0, there is a frame error.
Here are the links to the dataset files mentioned in the code (one pickle file for each scrimmage):
Scrimmage 4 (547.5 MB) Mirror
Scrimmage 5 (979.7 MB) Mirror
A larger dataset containing complete information about each match is also available. Please refer to SC2_Dataset_Documentation.pdf for more details regarding the structure of the full dataset. SC2_Dataset_Technical_Design_Report.pdf contains more information about the dataset acquisition process.
Here is the link to the full dataset (separate sqlite files for each match):
Full Dataset (135.517 GB) Mirror (Needs Access Request)
Please use the following citation to refer to the dataset: A. S. M. M. Jameel, A. P. Mohamed, X. Zhang and A. El Gamal, "Deep Learning for Frame Error Prediction using a DARPA Spectrum Collaboration Challenge (SC2) Dataset," in IEEE Networking Letters, doi: 10.1109/LNET.2021.3096813.
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