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The dataset is called SHIBR (the Swedish Historical Birth Records). The contribution of this paper is twofold. First, we believe it is the first and the largest Swedish dataset of its kind provided as open access (15,000 high-resolution colour images of the era between 1800 and 1840). We also perform some data mining of the dataset to uncover some statistics and facts that might be of interest and use to genealogists. Second, we provide a comprehensive survey of contemporary datasets in the field that are open to the public along with a compact review of word spotting techniques. The word transcription file contains 17 columns of information pertaining to each image (e.g., child\u2019s first name, birth date, date of baptism, father's first\/last name, mother\u2019s first\/last name, death records, town, job title of the father\/mother, etc.). Moreover, we evaluate some deep learning models, pre-trained on two other renowned datasets, for word spotting in SHIBR. However, our dataset proved challenging due to the unique handwriting style. Therefore, the dataset could also be used for competitions dedicated to a large set of document analysis problems, including word spotting.<\/jats:p>","DOI":"10.1007\/s00521-021-06207-z","type":"journal-article","created":{"date-parts":[[2021,6,27]],"date-time":"2021-06-27T18:20:46Z","timestamp":1624818046000},"page":"15863-15875","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["SHIBR\u2014The Swedish Historical Birth Records: a semi-annotated dataset"],"prefix":"10.1007","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4390-411X","authenticated-orcid":false,"given":"Abbas","family":"Cheddad","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"H\u00fcseyin","family":"Kusetogullari","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Agrin","family":"Hilmkil","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lena","family":"Sundin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amir","family":"Yavariabdi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mustapha","family":"Aouache","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Johan","family":"Hall","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,6,27]]},"reference":[{"key":"6207_CR1","doi-asserted-by":"crossref","unstructured":"H Balk, A Conteh (2011) IMPACT: centre of competence in text digitisation. 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Agrin Hilmkil is an employee at the company Peltarion AB (Sweden). The rest of the authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"The SHIBR dataset is a subset comprising random samples from the period 1800\u20131840, which were selected to abide by the GDPR (the European General Data Protection Regulation) law and thus are made open access.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical Approval"}}]}}