{"url":"/dataset/sins","name":"SINS","full_name":"SINS","description_markdown":"**SINS** is a database of continuous real-life audio recordings in a home environment. The home is a vacation home and one person lived there during the recording period of over on week. It was collected using a network of 13 microphone arrays distributed over the multiple rooms. Each microphone array consisted of 4 linearly arranged microphones. Recordings were annotated based on the level of daily activities performed in the environment.\n\nSource: [https://www.cs.tut.fi/sgn/arg/dcase2017/documents/workshop_papers/DCASE2017Workshop_Dekkers_141.pdf](https://www.cs.tut.fi/sgn/arg/dcase2017/documents/workshop_papers/DCASE2017Workshop_Dekkers_141.pdf)\nImage Source: [https://www.cs.tut.fi/sgn/arg/dcase2017/documents/workshop_papers/DCASE2017Workshop_Dekkers_141.pdf](https://www.cs.tut.fi/sgn/arg/dcase2017/documents/workshop_papers/DCASE2017Workshop_Dekkers_141.pdf)","description_withheld":null,"homepage":"https://github.com/KULeuvenADVISE/SINS_database","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Audio","url":"/datasets/modality/audio"}],"tasks":[{"name":"Link Prediction","url":"/task/link-prediction","datasets_with_task":"/datasets/task/link-prediction"}],"languages":[],"variants":["SINS"],"data_loaders":[{"repo":"https://github.com/KULeuvenADVISE/SINS_database","url":"https://github.com/KULeuvenADVISE/SINS_database","frameworks":[]}],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/link-prediction-on-sins","task":"Link Prediction","dataset_variant":"SINS","rows":1,"metrics":["Scaled time-delay embeddings"],"first_row_in_archive_order":{"model":"mlp","paper":"/paper/deep-learning-in-mobile-and-wireless","metrics":{"Scaled time-delay embeddings":"213"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/deep-learning-in-mobile-and-wireless","title":"Deep Learning in Mobile and Wireless Networking: A Survey","date":"2018-03-12","rows_on_this_dataset":1,"code_links":0,"syntology":null}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+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."}