The Contemporary Student Handwritten model is a multilingual AI model in Transkribus designed to transcribe learners' handwriting in Basque, Spanish, and English. It achieves a Character Error Rate (CER) of 4.46% on the training set and 7.68% on the validation set. The dataset consists of school-based texts written by adolescent students aged 12–16. Original errors in the handwriting were preserved and transcribed verbatim. The model was trained on a corpus of 96,931 words across the three languages, collected from various schools in the Basque Autonomous Community in 2023. Further details and an accompanying research paper will be made available soon. The model training was conducted by Mikel Iruskieta (HiTZ - Ixa, UPV/EHU) and Roberto Arias-Hermoso (Mondragon Unibertsitatea).