Annotated dataset for training named entities recognition models for medieval charters in Latin, French and Spanish. The original raw texts for all charters were collected from four charters collections - HOME-ALCAR corpus : https://zenodo.org/record/5600884 - CBMA : http://www.cbma-project.eu - Diplomata Belgica : https://www.diplomata-belgica.be - CODEA corpus : https://corpuscodea.es/ We include (i) the annotated training datasets, (ii) the contextual and static embeddings trained on medieval multilingual texts and (iii) the named entity recognition models trained using two architectures: Bi-LSTM-CRF + stacked embeddings and fine-tuning on Bert-based models (mBert and RoBERTa) Codes, datasets and notebooks used to train models can be consulted in our gitlab repository: https://gitlab.com/magistermilitum/ner_medieval_multilingual Our best RoBERTa model is also available in the HuggingFace library: https://huggingface.co/magistermilitum/roberta-multilingual-medieval-ner