metadata
language:
- en
tags:
- time-series
- self-supervised-learning
- representation-learning
- time-series-classification
- time-series-regression
task_categories:
- feature-extraction
pretty_name: Learning Without Augmenting (Preprocessed Time-Series)
Learning Without Augmenting — Preprocessed Time-Series Data
Preprocessed data used in our NeurIPS 2025 paper Learning Without Augmenting.
It includes nine datasets across five time-series tasks in ready-to-use format.
[Project Page]
Datasets Included
| File | Format | Description |
|---|---|---|
Dalia_data.pkl |
PKL | Large-scale benchmark for heartrate estimation using wearables |
ECG_data.pkl |
PKL | ECG (combined) for cardiovascular disease classification |
HHAR.zip |
ZIP | Human activity dataset with IMUs |
IEEE_Big.mat |
MAT | Heartrate estimation in a controlled environment |
IEEE_Small.mat |
MAT | A smaller version of the IEEE dataset |
clemson.mat |
MAT | IMU data collected from wearable devices for step counting |
sleep_combined.pt |
PKL | Sleep stage classification data |