#### NOTE
This is a **Hugging Face dataset**. For large datasets, ensure `huggingface_hub>=1.1.3` to avoid rate limits. Learn more in the <a href="https://docs.voxel51.com/integrations/huggingface.html#loading-datasets-from-the-hub" target="_blank">Hugging Face integration docs</a>.

<a href="https://huggingface.co/datasets/Voxel51/emnist-letters-tiny" target="_blank">![Hugging Face](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Dataset-yellow)</a>

# Dataset Card for EMNIST-Letters-10k

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

A random subset of the train and test splits from the letters portion of [EMNIST](https://pytorch.org/vision/0.18/generated/torchvision.datasets.EMNIST.html)

![image/png](https://huggingface.co/datasets/Voxel51/emnist-letters-tiny/resolve/main/dataset_preview.png)

This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 10000 samples.

## Installation

If you haven’t already, install FiftyOne:

```bash
pip install -U fiftyone
```

## Usage

```python
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub

# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("Voxel51/emnist-letters-tiny")

# Launch the App
session = fo.launch_app(dataset)
```

## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** en
- **License:** [More Information Needed]

### Dataset Sources

<!-- Provide the basic links for the dataset. -->
- **Homepage:** https://www.nist.gov/itl/products-and-services/emnist-dataset
- **Paper :** https://arxiv.org/abs/1702.05373v1

## Citation

**BibTeX:**

```bibtex
@misc{cohen2017emnistextensionmnisthandwritten,
      title={EMNIST: an extension of MNIST to handwritten letters}, 
      author={Gregory Cohen and Saeed Afshar and Jonathan Tapson and André van Schaik},
      year={2017},
      eprint={1702.05373},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/1702.05373}, 
}
```

## Dataset Card Author

[Jacob Marks](https://huggingface.co/jamarks)