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Table · dataset · 2022

graphs-datasets/MNIST

Listed in Hugging Face Datasets

Dataset Card for MNIST Dataset

Description

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.

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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 import DataLoader… See the full description on the dataset page: huggingface.co/datasets/graphs-datasets/MNIST.

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Catalogue records · 1

Topics

Stated by source
graph ml
Inferred from text
Image 65%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsgraphs-datasets/MNIST15 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:imageenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (65%)
concepts[task].hf_task:graph-mlsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0