ClinSpEn-CC Data: Parallel English-Spanish COVID-19 Clinical Cases

This repository contains the sample, test and background data for the ClinSpEn-Clinical Cases sub-track. The direction of this sub-track is EN&gt;ES. ClinSpEn is part of the Biomedical WMT 2022 shared task, having the aim to promote the development and evaluation of machine translation systems adapted to the medical domain with three highly relevant sub-tracks: clinical cases, medical controlled vocabularies/ontologies, and clinical terms and entities extracted from medical content. The dataset’s case reports were carefully selected to cover a wide range of aspects related to the disease: different types of patients (children, adults, elderly and pregnant people, babies), different comorbidities (cancer, mental health issues, immunosuppressed patients) and symptomatology (mild and severe presentations, dermatologic, immunologic and psychiatric manifestations, thrombosis, …). The reports were translated from English to Spanish by a professional medical translator on a first step and revised by a clinical expert on a second step. The sample set files is made up of parallel txt files, with the Spanish version having a “.es” extension and the English files having a “.en” extension. Each report has been parallelized so that every sentence’s line number corresponds to the same sentence’s line number in both languages. The test and background data is made up of a TSV file with three columns: document number, line number and English line. The clinical cases themselves include COVID-19 case reports as well as diverse content extracted from PubMed. Related Links: <strong>- Sub-track website with more information: </strong>https://temu.bsc.es/clinspen/ <strong>- WMT website: </strong>https://www.statmt.org/wmt22/ <strong>- CodaLab: </strong>https://codalab.lisn.upsaclay.fr/competitions/6696/ <strong>- ClinSpEn-CC (Clinical Cases):</strong> https://doi.org/10.5281/zenodo.6497350 <strong>- ClinSpEn-CT (Clinical Terms): </strong>https://doi.org/10.5281/zenodo.6497372 <strong>- ClinSpEn-OC (Ontology Concepts): </strong>https://doi.org/10.5281/zenodo.6497388