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# Dataset Card for HASYv2

<!-- Provide a quick summary of the dataset. -->

## Dataset Details

### Dataset Description

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This is a dataset of handwritten symbols similar to MNIST. It contains 168233 instances of 369 classes.

### Dataset Sources

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- **Homepage:** https://github.com/MartinThoma/HASY?tab=readme-ov-file
- **Paper:** Thoma, M. (2017). The hasyv2 dataset. arXiv preprint arXiv:1701.08380.

## Dataset Structure

<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->

Total images: 168,233

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

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**

@article{thoma2017hasyv2,
  title={The hasyv2 dataset},
  author={Thoma, Martin},
  journal={arXiv preprint arXiv:1701.08380},
  year={2017}
}