deepcopy/MathWriting-human

Dataset Card for MathWriting

Dataset Summary

The MathWriting dataset contains online handwritten mathematical expressions collected through a prompted interface and rendered to RGB images. It consists of 230,000 human-written expressions, each paired with its corresponding LaTeX string. The dataset is intended to support research in online and offline handwritten mathematical expression (HME) recognition.

Key features:

• Online handwriting converted to rendered RGB images.
• Each sample is labeled with a LaTeX expression.
• Includes splits: train, val, and test.
• All samples in this release are human-written (no synthetic data).
• Image preprocessing includes resizing (max dimension ≤ 512 px), stroke width jitter, and subtle color perturbations.

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Supported Tasks and Leaderboards

Primary Task:

• Handwritten Mathematical Expression Recognition (HMER): Given an image of a handwritten formula, predict its LaTeX representation.

This dataset is also suitable for:

• Offline HME recognition (from rendered images).
• Sequence modeling and encoder-decoder learning.
• Symbol layout analysis and parsing in math.

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Dataset Structure

Each example has the following structure:

{
    'image': <PIL.Image.Image in RGB mode>,
    'latex': str,  # the latex string"
    'sample_id': str,  # unique identifier
    'split_tag': str,  # "train", "val", or "test"
    'data_type': str,  # always "human" in this version
}

All samples are rendered from digital ink into JPEG images with randomized stroke width and light RGB variations for augmentation and realism.

Usage

To load the dataset:

from datasets import load_dataset

ds = load_dataset("deepcopy/MathWriting-Human")
sample = ds["train"][0]
image = sample["image"]
latex = sample["latex"]

Licensing Information

The dataset is licensed by Google LLC under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license (CC BY-NC-SA 4.0).

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Citation

Please cite the following paper if you use this dataset:

@misc{gervais2025mathwritingdatasethandwrittenmathematical,
      title={MathWriting: A Dataset For Handwritten Mathematical Expression Recognition}, 
      author={Philippe Gervais and Anastasiia Fadeeva and Andrii Maksai},
      eprint={2404.10690},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2404.10690}, 
}