{"dcterms:modified":"2026-08-25","dcterms:creator":"Social Sciences and Digital Humanities Archive – SODHA","@type":"ore:ResourceMap","@id":"https://www.sodha.be/api/datasets/export?exporter=OAI_ORE&persistentId=https://doi.org/10.34934/DVN/HNA7QO","ore:describes":{"citation:datasetContact":{"citation:datasetContactName":"Messens, Fien","citation:datasetContactAffiliation":"KBR"},"citation:topicClassification":{"citation:topicClassVocab":"CESSDA Topic Classification","citation:topicClassVocabURI":"https://vocabularies.cessda.eu/vocabulary/TopicClassification"},"author":[{"citation:authorName":"Zuzana Černáková","citation:authorAffiliation":"Department of History, Ghent University; Digital Research Lab, KBR"},{"citation:authorName":"Fien Messens","citation:authorAffiliation":"Department of History, Ghent University; KBR"},{"citation:authorName":"Tess Dejaeghere","citation:authorAffiliation":"Ghent Centre for Digital Humanities; Language Translation and Technology Team, Ghent University"},{"citation:authorName":"Julie M. Birkholz","citation:authorAffiliation":"Ghent Centre for Digital Humanities; Department of History, Ghent University; Digital Research Lab, KBR"}],"citation:dsDescription":{"citation:dsDescriptionValue":"This dataset accompanies the article From nineteenth-century letters to entities: A Named Entity Recognition pipeline for French correspondence and its methodological lessons. It contains the input data, preprocessing scripts, analysis notebooks, evaluation outputs, and experimental results used to develop and evaluate Named Entity Recognition (NER) workflows for nineteenth-century French correspondence from the François-Joseph Navez corpus (KBR – Royal Library of Belgium). The dataset documents the complete experimental workflow, from the construction of a manually annotated gold-standard corpus to the evaluation of off-the-shelf spaCy models, a custom-trained spaCy model, and transformer-based models (CamemBERT, CamemBERTav2, D'AlemBERT and Europeana BERT). The repository is organised into four directories. Input contains the Label Studio annotation exports, the preprocessed gold-standard corpus, and the training, development and test splits used throughout the experiments. Notebooks provides the Jupyter notebooks implementing the preprocessing, training and evaluation workflows. Output contains the evaluation results of the spaCy experiments, including model predictions, overall and per-entity performance metrics, mismatch analyses and summary tables. Results_transformers contains the outputs of the transformer-based experiments, including hyperparameter optimisation, cross-validation results, learning curves, statistical significance tests, prediction files and qualitative error analyses. Together, these files provide the complete computational workflow and all intermediate and final outputs required to reproduce the analyses presented in the accompanying publication."},"language":"English","dateOfDeposit":"2026-06-22","title":"Replication Data for: From nineteenth-century letters to entities: \"a NER pipeline for French correspondence and its methodological lessons\" - Article for Digital Humanities Benelux Journal","subject":"Arts and Humanities","citation:depositor":"Messens, Fien","citation:keyword":[{"citation:keywordValue":"Named Entity Recognition (NER)"},{"citation:keywordValue":"Natural Language Processing (NLP)"},{"citation:keywordValue":"Historical NLP"}],"@id":"https://doi.org/10.34934/DVN/HNA7QO","@type":["ore:Aggregation","schema:Dataset"],"schema:version":"1.0","schema:name":"Replication Data for: From nineteenth-century letters to entities: \"a NER pipeline for French correspondence and its methodological lessons\" - Article for Digital Humanities Benelux Journal","schema:dateModified":"2026-08-25 16:08:54.956","schema:datePublished":"2026-08-25","dvcore:fileTermsOfAccess":{"dvcore:termsOfAccess":"These files contain training and evaluation data derived from nineteenth-century letters from the Navez Project. To protect access conditions associated with the source material, the files are restricted. Researchers may request access for non-commercial scholarly use. Requests will be evaluated on a case-by-case basis.","dvcore:fileRequestAccess":true},"schema:includedInDataCatalog":"Social Sciences and Digital Humanities Archive – SODHA","schema:isPartOf":{"schema:name":"Social Sciences and Digital Humanities Archive – SODHA","@id":"https://www.sodha.be/dataverse/sodha","schema:description":"<blockquote>Welcome to SODHA, the <b>Belgian federal data archive</b> for <b>social sciences</b> and the <b>digital humanities!</b><br><br>\n\n\nHere you can <b>find</b> and <b>deposit</b> social science and digital humanities data in reusable form. Published datasets receive a <b>DOI</b>, making them citable like other types of publications. SODHA promotes <b>open data</b> by enabling <b>reuse</b> of research data and by <b>safely preserving</b> datasets in the long term.<br><br>\n\nSODHA is the Belgian service provider in the <a href=\"https://www.cessda.eu/\">Consortium of European Social Science Data Archives (CESSDA)</a> and is hosted by the <a href=\"http://www.arch.be\">State Archives of Belgium</a>. SODHA was built with the help of <a href=\"https://uclouvain.be/fr/instituts-recherche/iacchos/demo\">DEMO (UCLouvain)</a> and <a href=\"http://interfacedemography.be/\">Interface Demography (VUB)</a>.<br><br>\n\nYou can consult the <b>SODHA Guide</b> <a href=\"https://www.sodha.be/guide/Home.html\">here</a>, and you can read our <b>policies</b> <a href=\"https://www.sodha.be/guide/Texts_and_policies.html\">here</a>.<br><br>\n\nWant to learn more about SODHA? Consult <a href=\"https://www.sodha.be/guide/pdf/SODHA_Brochure.pdf\">our brochure</a> or <a href=\"http://www.arch.be/index.php?l=en&m=online-resources&r=sodha\">our presentation on the State Archives' website</a>.<br><br>\n\nIf you have any question, you can contact us at <a href=\"mailto:sodha@arch.be\">sodha@arch.be</a>."},"ore:aggregates":[{"schema:description":"Preprocessing notebook that converts Label Studio JSON exports into the structured gold-standard corpus used throughout the experiments. 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