Resources


Database Open Access

CUILESS2016

A corpus of Concept Unique Identifier concepts taken from the SemEval2015 Task 14.

concept umls snomed

Published: Jan. 24, 2018. Version: 1.0.0

Database Open Access

CUILESS2016

A corpus of Concept Unique Identifier concepts taken from the SemEval2015 Task 14.

concept umls snomed

Published: Jan. 24, 2018. Version: 1.0.0

Database Contributor Review

CARMEN-I: A resource of anonymized electronic health records in Spanish and Catalan for training and testing NLP tools

Eulalia Farre Maduell, Salvador Lima-Lopez, Santiago Andres Frid, Artur Conesa, Elisa Asensio, Antonio Lopez-Rueda, Helena Arino, Elena Calvo, Maria Jesús Bertran, Maria Angeles Marcos, Montserrat Nofre Maiz, Laura Tañá Velasco, Antonia Marti, Ricardo Farreres, Xavier Pastor, Xavier Borrat Frigola, Martin Krallinger

CARMEN-I is a Spanish corpus of 2,000 clinical records from Hospital Clínic, Barcelona. It covers COVID-19 patients and comorbidities, serving as a resource for training clinical NLP models and researchers in NLP applied to clinical documents.

de-identification clinical ner anonymization

Published: April 20, 2024. Version: 1.0.1

Challenge Credentialed Access

SNOMED CT Entity Linking Challenge

Will Hardman, Mark Banks, Rory Davidson, Donna Truran, Nindya Widita Ayuningtyas, Hoa Ngo, Alistair Johnson, Tom Pollard

272 discharge notes from the MIMIC-IV-Note dataset annotated with SNOMED CT concepts.

snomed entity linking clinical annotation

Published: July 22, 2025. Version: 1.1.0

Database Open Access

tOLIet: Single-lead Thigh-based Electrocardiography Using Polimeric Dry Electrodes

Aline Santos Silva, Hugo Plácido da Silva, Miguel Correia, Andreia Cristina Gonçalves da Costa, Sérgio Laranjo

We present tOLIet, the first thigh ECG dataset with real signals captured by a toilet seat with electrodes. There are 149 recordings from 86 people, useful for research into cardiovascular assessment using "invisible" ECG.

Published: June 24, 2025. Version: 1.0.0

Database Credentialed Access

PIFIR: PET-CT Invasive Fungal Infection Reports

Vlada Rozova, Anna Khanina, Jeremy Ong, Ramin Alipour, Leon Worth, Monica Slavin, Karin Thursky, Karin Verspoor

A corpus of PET-CT reports annotated for terminology relevant to fungal infections. Ideal for validation of named entity recognition and relation extraction methods.

nlp clinical documentation information extraction invasive fungal infections

Published: Feb. 27, 2025. Version: 1.0.0

Database Open Access

Synthetic Mention Corpora for Disease Entity Recognition and Normalization

Kuleen Sasse, John David Osborne

We present the Synthetic Mention Corpora for Disease Entity Recognition and Normalization, containing 128000 disease mentions from the UMLS disorder group, generated by an LLM. This corpus aims to improve these tasks in biomedical and clinical texts.

nlp named entity recognition machine learning data augmentation entity normalization

Published: Feb. 3, 2025. Version: 1.0.0

Database Credentialed Access

ENCoDE, mEasuring skiN Color to correct pulse Oximetry DisparitiEs: skin tone and clinical data from a prospective trial on acute care patients.

Sicheng Hao, Katelyn Dempsey, João Matos, Mahmoud Alwakeel, Jared Houghtaling, An Kwok Wong

A prospective collected EHR-linked skin tone measurements database in OMOP format with emphasis on pulse oximetry disparities.

Published: Aug. 22, 2024. Version: 1.0.0

Database Credentialed Access

CHIFIR: Cytology and Histopathology Invasive Fungal Infection Reports

Vlada Rozova, Anna Khanina, Jasmine Teng, Joanne Teh, Leon Worth, Monica Slavin, karin thursky, Karin Verspoor

A corpus of cytology and histopathology reports annotated for terminology relevant to fungal infections. Ideal for validation of named entity recognition and relation extraction methods.

nlp clinical documentation information extraction invasive fungal infections

Published: Feb. 20, 2024. Version: 1.0.2

Database Restricted Access

REFLACX: Reports and eye-tracking data for localization of abnormalities in chest x-rays

Ricardo Bigolin Lanfredi, Mingyuan Zhang, William Auffermann, Jessica Chan, Phuong-Anh Duong, Vivek Srikumar, Trafton Drew, Joyce Schroeder, Tolga Tasdizen

This dataset contains 3032 cases of eye-tracking data collected while five radiologists dictated reports for frontal chest x-rays, synchronized timestamped dictation transcription, and manual labels for validation of localization of abnormalities.

eye tracking radiology report reflacx fixations computer vision chest x-rays gaze radiology machine learning deep learning

Published: Sept. 27, 2021. Version: 1.0.0