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--- |
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language: |
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- en |
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tags: |
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- time-series |
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- self-supervised-learning |
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- representation-learning |
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- time-series-classification |
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- time-series-regression |
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task_categories: |
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- feature-extraction |
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pretty_name: Learning Without Augmenting (Preprocessed Time-Series) |
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--- |
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# Learning Without Augmenting — Preprocessed Time-Series Data |
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Preprocessed data used in our NeurIPS 2025 paper *Learning Without Augmenting*. |
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It includes nine datasets across five time-series tasks in ready-to-use format. |
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[[Hugging Face Papers](https://huggingface.co/papers/2510.22655)] |
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[[Code](https://img.shields.io/badge/GitHub-Learning--with--FrameProjections-black.svg)](https://github.com/eth-siplab/Learning-with-FrameProjections) |
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[[Project Page](https://neurips.cc/virtual/2025/loc/san-diego/poster/118514)] |
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--- |
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## Datasets Included |
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| File | Format | Description | |
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|------|---------|-------------| |
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| `Dalia_data.pkl` | PKL | Large-scale benchmark for heartrate estimation using wearables | |
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| `ECG_data.pkl` | PKL | ECG (combined) for cardiovascular disease classification | |
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| `HHAR.zip` | ZIP | Human activity dataset with IMUs | |
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| `IEEE_Big.mat` | MAT | Heartrate estimation in a controlled environment | |
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| `IEEE_Small.mat` | MAT | A smaller version of the IEEE dataset | |
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| `clemson.mat` | MAT | IMU data collected from wearable devices for step counting | |
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| `sleep_combined.pt` | PKL | Sleep stage classification data | |
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--- |
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