christopher/mnist1d
[!NOTE] This dataset card is based on the README file of the authors' GitHub repository: https://github.com/greydanus/mnist1d The MNIST-1D Dataset Most machine learning models get around the same ~99% test accuracy on MNIST. The MNIST-1D dataset is 100x smaller (default sample size: 4000+1000; dimensionality: 40) and does a better job of separating between models with/without nonlinearity and models with/without spatial inductive biases. MNIST-1D is a core teaching dataset in… See the full description on the dataset page: https://huggingface.co/datasets/christopher/mnist1d.
| Author / organization | christopher |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 712 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 8 October 2024 |
| Last updated at source | 9 October 2024 |
More from christopher
- christopher/rosetta-codeDataset
- christopher/all-tokenizersDataset
- christopher/stack-smol-xxl-embeddingsDataset
- christopher/oeisDataset
- christopher/tok-stack-smolDataset
- christopher/winesensedDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.