Datasets › Illness-dataset

Illness-dataset (Illness multi-domain textual dataset)

Introduced by Payam Karisani et al. in Multi-View Active Learning for Short Text Classification in User-Generated Data5 Dec 2021 archive 2025-07-28

A dataset for evaluating text classification, domain adaptation, and active learning models. The dataset consists of 22,660 documents (tweets) collected in 2018 and 2019. It spans across four domains: Alzheimer's, Parkinson's, Cancer, and Diabetes.

Homepage JSON

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 5 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Text Classification Domain Adaptation Active Learning

License archive 2025-07-28

MIT

Modalities archive 2025-07-28

Texts

Languages archive 2025-07-28

English

Variants archive 2025-07-28

Illness-dataset

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections