People, Places, and Languages in the correspondence preserved in the archive of the International Institute of Intellectual Cooperation

The present dataset contains (meta) information extracted from the materials preserved in the archival funds of the International Institute of Intellectual Cooperation (IIIC), which was recently digitized [available at https://atom.archives.unesco.org/iiic ]. More precisely, the dataset focuses on subseries A and F from the Series Correspondence. Using machine learning and natural language processing (NLP) techniques, we have parsed scanned documents and extracted from them meta-information like: people and location mentions, language (e.g., French), nature of material (e.g., letter vs. attached document), formal aspects (e.g., handwritten vs. typewritten), and -- if possible -- its year of publication. Moreover, we have associated these entities (e.g., a given person) and information to the specific document(s) where they appear. We have divided the dataset in three files: one focused on people and two on locations (one for countries and another for cities). This dataset has been generated within the ERC-StG project named "Social Networks of the Past: Mapping Hispanic and Lusophone Literary Modernity, 1898-1959".