Dataset from Zenodo · Medina Florez, Juan Andres
Long COVID SDOH NER
- License
- CC BY 4.0commercial use allowedLicense text
- This license allows commercial use. Usually you must credit the author; read the license for the exact terms.
- Formats
- PARQUET
- Size
- 30 MB
- Updated
- Jun 15, 2025
Description
This dataset contains text for over 7,000 case report sections in academic papers related to Post COVID-19 Condition (PCC), also known as Long COVID. It is comprised of three columns: 'Token,' 'entity type,' and 'case report id.' There are over 3.4 million observations in total. Entity types are presented in CoNLL format and relate to sociodemographic, behavioral and selected biomedical dimensions relevant to PCC. There are 27 core entity types (53 in CoNLL): ‘Access To Care,’ ‘Age,’ ‘Condition,’ ‘Diet,’ ‘Disability,’ ‘Education,’ ‘Employment,’ ‘Exercise,’ ‘Family Member,’ ‘Gender,’ ‘Geographic Entity,’ ‘Housing,’ ‘Income,’ ‘Insurance Status,’ ‘Language,’ ‘Marital Status,’ ‘Mental Health,’ ‘Race Ethnicity,’ ‘Severity,’ ‘Sexual Orientation,’ ‘Social Support,’ ‘Spiritual Beliefs,’ ‘Substance,’ ‘Treatment,’ ‘Vaccine,’ ‘Violence Or Abuse,’ and ‘O’ (non-entity). The…
Description from Zenodo, shortened.
Files (2)
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