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Dataset Card for HASYv2
Dataset Details
Dataset Description
This is a dataset of handwritten symbols similar to MNIST. It contains 168233 instances of 369 classes.
Dataset Sources
- Homepage: https://github.com/MartinThoma/HASY?tab=readme-ov-file
- Paper: Thoma, M. (2017). The hasyv2 dataset. arXiv preprint arXiv:1701.08380.
Dataset Structure
Total images: 168233
Classes: 369 categories
Splits:
Train: 151,241 images
Test: 16,992 images
Image specs: PNG format, 32×32 pixels, Grayscale
Example Usage
Below is a quick example of how to load this dataset via the Hugging Face Datasets library.
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("randall-lab/hasy-v2", split="train", trust_remote_code=True)
# dataset = load_dataset("randall-lab/hasy-v2", split="test", trust_remote_code=True)
# Access a sample from the dataset
example = dataset[0]
image = example["image"]
label = example["label"]
image.show() # Display the image
print(f"Label: {label}")
Citation
BibTeX:
@article{thoma2017hasyv2, title={The hasyv2 dataset}, author={Thoma, Martin}, journal={arXiv preprint arXiv:1701.08380}, year={2017} }
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