Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
named-entity-recognition
Languages:
Spanish
Size:
10K - 100K
License:
Commit
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license: cc-by-4.0
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# Dataset Card for [
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## Table of Contents
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- [Table of Contents](#table-of-contents)
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- **Homepage:** http://www.lllf.uam.es/ESP/nlpmedterm_en.html
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- **Repository:** http://www.lllf.uam.es/ESP/nlpdata/wp2/CT-EBM-SP.zip
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- **Paper:** Campillos-Llanos, L., Valverde-Mateos, A., Capllonch-Carrión, A., & Moreno-Sandoval, A. (2021). A clinical trials corpus annotated with UMLS entities to enhance the access to evidence-based medicine. BMC medical informatics and decision making, 21(1), 1-19
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- **Leaderboard:**
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- **Point of Contact:** leonardo.campillos AT gmail.com
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### Dataset Summary
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### Supported Tasks
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### Languages
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## Dataset Structure
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### Data Instances
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[More Information Needed]
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### Data Fields
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### Data Splits
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## Dataset Creation
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### Curation Rationale
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[More Information Needed]
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### Source Data
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#### Initial Data Collection and Normalization
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#### Who are the source language producers?
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### Annotations
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license: cc-by-4.0
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# Dataset Card for [CT-EBM-ES (Clinical Trials for Evidence-based Medicine in Spanish)]
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## Table of Contents
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- [Table of Contents](#table-of-contents)
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- **Homepage:** http://www.lllf.uam.es/ESP/nlpmedterm_en.html
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- **Repository:** http://www.lllf.uam.es/ESP/nlpdata/wp2/CT-EBM-SP.zip
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- **Paper:** Campillos-Llanos, L., Valverde-Mateos, A., Capllonch-Carrión, A., & Moreno-Sandoval, A. (2021). A clinical trials corpus annotated with UMLS entities to enhance the access to evidence-based medicine. BMC medical informatics and decision making, 21(1), 1-19
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- **Point of Contact:** leonardo.campillos AT gmail.com
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### Dataset Summary
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}
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### Supported Tasks
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Medical Named Entity Recognition
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### Languages
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## Dataset Structure
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### Data Instances
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292 173 tokens
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46 699 entities of the following medical UMLS semantic groups:
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- ANAT: 6728 entities
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- CHEM: 9224 entities
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- DISO: 13 067 entities
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- PROC: 17 680 entities
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### Data Splits
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Train: 175 203 tokens, 28 101 entities
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Development: 58 670 tokens, 9629 entities
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Test: 58 300 tokens, 8969 entities
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## Dataset Creation
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### Source Data
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#### Initial Data Collection and Normalization
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### Annotations
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#### Who are the annotators?
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- Leonardo Campillos-Llanos, Computational Linguist, Consejo Superior de Investigaciones Científicas
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- Adrián Capllonch-Carrión, Medical Doctor, Centro de Salud Retiro, Hospital Universitario Gregorio Marañón
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- Ana Valverde-Mateos, Medical Lexicographist, Spanish Royal Academy of Medicine
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## Considerations for Using the Data
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Disclosure: This dataset is under development and needs to be improved. It should not be used for medical decision making without human assistance and supervision.
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This resource is intended for a generalist purpose, and may have bias and/or any other undesirable distortions.
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The owner or creator of the models will in no event be liable for any results arising from the use made by third parties of this dataset.
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Descargo de responsabilidad: Este conjunto de datos se encuentra en desarrollo y no debe ser empleada para la toma de decisiones médicas
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La finalidad de este modelo es generalista, y puede tener sesgos y/u otro tipo de distorsiones indeseables.
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El propietario o creador de los modelos de ningún modo será responsable de los resultados derivados del uso que las terceras partes hagan de estos datos.
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