graphs-datasets/MNIST
Dataset Card for MNIST Dataset Summary The MNIST dataset consists of 55000 images in 10 classes, represented as graphs. It comes from a computer vision dataset. Supported Tasks and Leaderboards MNIST should be used for multiclass graph classification. External Use PyGeometric To load in PyGeometric, do the following: from datasets import load_dataset from torch_geometric.data import Data from torch_geometric.loader… See the full description on the dataset page: https://huggingface.co/datasets/graphs-datasets/MNIST.
| Author / organization | graphs-datasets |
|---|---|
| License (as declared) | mit |
| Downloads | 157 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 8 December 2022 |
| Last updated at source | 7 February 2023 |
Recent changes
- 16 Oct 2026 Description: Dataset Card for MNIST Dataset Summary The MNIST dataset consists of 55000 images in 10 classes, represented as graphs. It comes from a computer vision dataset. Supported Tasks and Leaderboards MNIST should be used for multiclass graph clas → Dataset Card for MNIST Dataset Summary The MNIST dataset consists of 55000 images in 10 classes, represented as graphs. It comes from a computer vision dataset. Supported Tasks and Leaderboards MNIST should be used for multiclass graph clas
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