Datasets:

beta3
/

ASCII_Alphabet_Dataset_571_Fonts

license: mit
task_categories:
  - text-classification
language:
  - en
tags:
  - language
  - machine-learning
  - ascii
configs:
  - config_name: default_uppercase
    data_files:
      - split: main_split
        path: uppercase/**/*.txt

Dataset Description

This dataset provides programmatically generated ASCII representations of the English alphabet rendered using 571 fonts from the PyFiglet library. Each letter (A–Z) is available in multiple typographic styles, resulting in a structured and high-variability dataset suitable for research, experimentation, and creative applications.

The dataset was created to support tasks involving text-based pattern recognition, synthetic data generation, typography analysis, and machine learning workflows. Because all samples are generated from a deterministic process, the dataset ensures consistency while preserving strong visual diversity across fonts.

Dataset Features

571 fonts sourced from PyFiglet
26 letters per font (English alphabet, A–Z)
Programmatically generated for reproducibility
Structured format for easy parsing and downstream processing
High visual variability across character styles
In addition to the individual files (e.g., file_01.txt, file_02.txt, etc.), the dataset also includes an additional file named labels.txt in uppercase, which contains the labels corresponding to the file names.

Potential Use Cases

Machine learning and deep learning experiments
Optical character recognition (OCR) research on text-based representations
Synthetic dataset benchmarking
Generative art and creative coding
Typography and character-style analysis
NLP experiments involving symbolic representations

Generation Methodology

All samples were generated using Python and the PyFiglet library, which converts text into ASCII art using FIGlet fonts. The generation process was automated to ensure that every font consistently renders the full alphabet under the same conditions.

Notes

This dataset includes only the standard English alphabet and does not contain extended characters such as "ñ".
Outputs may vary in width and height depending on the font design.
The dataset is synthetic and intended primarily for research and experimental purposes.