license: cc-by-sa-4.0
task_categories:
- text-classification
- text-generation
tags:
- agent
- math
- Mathematics
- Large
- LLM
- large
- Math
- mathematics
- LATEX
- latex
- LaTeX
- good_quality
pretty_name: MathOCR
size_categories:
- 100M<n<1B
Dataset Card for MathOCR
Dataset Details
Dataset Description
- Curated by: Roman
- Funded by Roman: No funding needed
- Shared by Roman: Also made by Roman
- Language(s) (NLP): English
- License: Common Creatives Attribution Share Alike 4.0
Dataset Sources [optional]
- Repository: [https://huggingface.co/datasets/DataMuncher-Labs/LaTeXt]
- I don't write papers or demos
Uses
Direct Use
Post training for mathematical visualization.
Out-of-Scope Use
[Its not meant, but technically works for diffusion models.] [The only way this dataset can be misused is in] A. [Incompatible models, like TTS] B. [Copying the repo without crediting mep
Dataset Structure
The dataset uses the format of problem_latex|solution_latex|problem_english
Dataset Creation
Curation Rationale
I thought there was simply a lack of mathematical Latex datasets
Source Data
Data Collection and Processing
Data was sourced from python... Its synthetic data
Who are the source data producers?
Roman
Personal and Sensitive Information
No PII or Sensitive information Also why I make synthtic data
Bias, Risks, and Limitations
Doesn't cover all equation types
Doesn't cover all numbers possible
There are aready similar datasets
Recommendations
Just don't use it for the wrong models. I know someone was thinking of giving this to a speech model...
Citation [optional]
BibTeX:
@dataset{datamuncher_latext_2026, author = {DataMuncher-Labs}, title = {LaTeXt}, year = {2026}, publisher = {Hugging Face}, url = {https://huggingface.co/datasets/DataMuncher-Labs/LaTeXt}, note = {Synthetic LaTeX equation text dataset} }
APA:
DataMuncher-Labs. (2026). LaTeXt [Dataset]. Hugging Face. https://huggingface.co/datasets/DataMuncher-Labs/LaTeXt
Dataset Card Authors
[Roman]
Dataset Card Contact
[Email is romanfinal@proton.me please don't spam] [Feel free to open a discussion on the repo]