{"url":"/dataset/spectrum-challange-2-dataset","name":"Spectrum Challange 2 Dataset","full_name":null,"description_markdown":"The dataset is approved for public release, distribution unlimited.\r\n\r\nThe dataset is contained in two files - scrimmage4_link_dataset.pickle and scrimmage5_link_dataset.pickle\r\n\r\nThe 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.\r\nThe first tuple is contains the paramenters -\r\n1. Signal to Noise Ratio ('snr') - 1 element\r\n2. The Modulation and Coding Scheme ('mcs') - 1 element\r\n3. The center frequency of the link ('centerFreq') - 1 element\r\n4. The bandwidth of the link ('bandwidth') - 1 element\r\n5. The Power Spectral Density ('psd') - 16 elements\r\nThus the total width of each element of the first tuple for a link is 20.\r\n\r\nThe 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.\r\n\r\nHere are the links to the dataset files mentioned in the code (one pickle file for each scrimmage):\r\n\r\n[Scrimmage 4](https://purdue0-my.sharepoint.com/:u:/g/personal/amahdeej_purdue_edu/EQsfaBF0MjJNvBXqkPq-Lv0BlyAm8ph8O85s-vxOqVjJTA?e=pYHIQS) (547.5 MB) [Mirror](https://app.box.com/s/i0c1qimr0mjuyr38celtxbsuedhlp9tr)\r\n\r\n[Scrimmage 5](https://purdue0-my.sharepoint.com/:u:/g/personal/amahdeej_purdue_edu/EVnfh_V2BZBOk9SOTvKDLa4BGQ54LA9rr_r0cfFQWC_SLw?e=Jh4yCL) (979.7 MB) [Mirror](https://app.box.com/s/sqyvrapww6z5ydg0rrx7tjszs32bhndx)\r\n\r\nA 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.\r\n\r\nHere is the link to the full dataset (separate sqlite files for each match):\r\n\r\n[Full Dataset](https://purdue0-my.sharepoint.com/:f:/g/personal/amahdeej_purdue_edu/EszW2WkpQWBLg9Y6cYX1FtUBpEyMS5XpUuCUxa2vFj5nXg?e=Nh0tk6) (135.517 GB) [Mirror (Needs Access Request)](https://app.box.com/s/snwqgmzxljjsu129wampesj0xgn2ozpq)\r\n\r\nPlease use the following citation to refer to the dataset:\r\nA. 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.","description_withheld":null,"homepage":"https://github.com/amahdeej/sc2-frame-error","introduced_date":"2021-07-14","introduced_date_note":null,"introduced_by":{"paper":"/paper/knowledge-distillation-for-wireless-edge","title":"Knowledge Distillation For Wireless Edge Learning","first_author":"Ahmed P. Mohamed","url":null},"license":{"name":"public release, distribution unlimited","url":"https://github.com/amahdeej/sc2-frame-error"},"modalities":[{"name":"Time series","url":"/datasets/modality/time-series"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Spectrum Challange 2 Dataset"],"data_loaders":[],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}