{"data":{"id":"10.6084/m9.figshare.6798548","type":"dois","attributes":{"doi":"10.6084/m9.figshare.6798548","prefix":"10.6084","suffix":"m9.figshare.6798548","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Morfi, Veronica","nameType":"Personal","givenName":"Veronica","familyName":"Morfi","affiliation":[],"nameIdentifiers":[]},{"name":"Stowell, Dan","nameType":"Personal","givenName":"Dan","familyName":"Stowell","affiliation":[],"nameIdentifiers":[]},{"name":"Pamula, Hanna","nameType":"Personal","givenName":"Hanna","familyName":"Pamula","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"NIPS4Bplus: Transcriptions of NIPS4B 2013 Bird Challenge Training Dataset"}],"publisher":"figshare","container":{},"publicationYear":2019,"subjects":[{"subject":"90609 Signal Processing","subjectScheme":"FOR"},{"subject":"FOS: Electrical engineering, electronic engineering, information engineering","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Electrical engineering, electronic engineering, information engineering","subjectScheme":"Fields of Science and Technology (FOS)"}],"contributors":[],"dates":[{"date":"2018-07-10","dateType":"Created"},{"date":"2019-07-19","dateType":"Updated"},{"date":"2019","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":["675623 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"Created By-------------\u003cbr\u003eVeronica Morfi (1), Dan Stowell (1) and Hanna Pamula (2).\u003cbr\u003e(1): Machine Listening Lab, Centre for Digital Music (C4DM), Queen Mary University of London (QMUL), UK(2): AGH University of Science and Technology, Department of Mechanics and Vibroacoustics, Kraków, Poland\u003cbr\u003eVersion 7 Updates--------------\u003cbr\u003eFixed: Annotation duration surpassing length of recording. Fixed: Empty spaces at the end of some labelsFixed: Label typos\u003cbr\u003eDescription--------------\u003cbr\u003eThe zip file contains 674 individual recording temporal annotations for the training set of the NIPS4B 2013 dataset in the birdsong classifications task (original size of dataset is 687 recordings).\u003cbr\u003eTask and dataset description can be found in: http://sabiod.univ-tln.fr/nips4b/challenge1.html Donwload zip file of dataset and weak annotations at: http://sabiod.univ-tln.fr/nips4b/media/birds/NIPS4B_BIRD_CHALLENGE_TRAIN_TEST_WAV.tar.gz\u003cbr\u003e\u003cbr\u003eAnnotation Files------------\u003cbr\u003eTranscriptions were produced using Sonic Visualiser: https://www.sonicvisualiser.org/ by an experienced birdwatcher, Hanna Pamula.\u003cbr\u003eNumber of missing annotations: 13 (6 of these files contained sounds which could not be unambiguously labelled and the rest 7 of them only included insects)\u003cbr\u003eThe original (weak) labels provided during the NIPS4B 2013 challenge were used for guidance. However, some files were judged to have a slightly different set of species present than was given in the original metadata.\u003cbr\u003eExtra Unknown label was added to the dataset for the vocalisations that couldn't be classified to a specific species. Also, extra Human label was added for a few recordings that had human sounds present in them.\u003cbr\u003eTranscription format:[Starting time (sec)],[Duration of event 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