tmutton/wcag-accessibility-issues
WCAG Accessibility Issues A small synthetic dataset for experimenting with machine learning classification of accessibility defects against WCAG success criteria. This project was created as a learning exercise to explore the complete Hugging Face text-classification workflow, including dataset preparation, tokenisation, fine-tuning a pretrained Transformer model, evaluation and inference. Dataset The dataset contains 100 synthetic accessibility defect… See the full description on the dataset page: https://huggingface.co/datasets/tmutton/wcag-accessibility-issues.
Load published classifier from Hugging Face
Add dataset card
Add WCAG classification training pipeline
Created split data script
Rename to data.csv
Added 4.1.2 Name, Role, Value training data
Added 1.3.1 Info and Relationships training data
Added 2.4.7 Focus Visible training data
Added 2.4.3 Focus Order training data
Added 2.1.1 Keyboard training data
New training data
Upload train.csv
initial commit