| --- |
| 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. |
|
|
| [[Hugging Face Papers](https://huggingface.co/papers/2510.22655)] |
|
|
| [[Code](https://img.shields.io/badge/GitHub-Learning--with--FrameProjections-black.svg)](https://github.com/eth-siplab/Learning-with-FrameProjections) |
|
|
| [[Project Page](https://neurips.cc/virtual/2025/loc/san-diego/poster/118514)] |
| --- |
|
|
| ## 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 | |
|
|
| --- |
|
|
