metadata
dataset_info:
features:
- name: pmcid
dtype: string
- name: content
dtype: string
- name: risk
dtype: int64
- name: event
sequence: string
- name: timestamp
sequence: float64
- name: __index_level_0__
dtype: int64
splits:
- name: full
num_bytes: 317287
num_examples: 16
download_size: 172808
dataset_size: 317287
configs:
- config_name: default
data_files:
- split: full
path: data/full-*
license: apache-2.0
language:
- en
pretty_name: f
task_categories:
- text-classification
- question-answering
Citation
If you find this dataset or our work useful in your research, please consider citing:
Jing Wang, Amar Sra, Jeremy C. Weiss. Active Learning for Forecasting Severity among Patients with Post Acute Sequelae of SARS-CoV-2. arXiv:2506.22444, 2025.
BibTeX:
@misc{longcovid,
title = {Active Learning for Forecasting Severity among Patients with Post Acute Sequelae of SARS-CoV-2},
author = {Jing Wang and Amar Sra and Jeremy C. Weiss},
year = {2025},
eprint = {2506.22444},
archivePrefix = {arXiv},
primaryClass = {cs.LG}
}