This model takes long texts and creates shorter, simpler summaries that are easier to read. It uses clear sentences and common words to make the summary accessible for people with dyslexia.

Example

Input: "The Sun is the main source of energy for Earth. It provides light and heat that support life. Plants use sunlight to make food, which provides energy for animals. The Sun also drives weather patterns and the water cycle. Without it, Earth would be too cold to support life."

Output: "The Sun provides light and heat that support life on Earth. Plants use sunlight to make food, and this energy passes to animals. Solar energy also drives weather and the water cycle, making Earth suitable for living organisms."

How to Use

python

from transformers import pipeline

summarizer = pipeline("summarization", model="[your-model-name]")

text = "Your long text here..."
summary = summarizer(text, max_length=100, min_length=30, do_sample=False)
print(summary[0]['summary_text'])

Training Data

The model was fine-tuned on a custom dataset of text-summary pairs. The training data includes educational content, news articles, and informational passages with simplified summaries.

Best For

Educational content and learning materials
News articles and informational texts
Making long documents easier to understand
Accessibility in web apps and reading tools

Limitations

Works best with English text
May lose some details when simplifying
Should be reviewed by humans for important information (medical, legal, safety)
Works better with moderate-length texts

Model Card Contact

ghimiresuyog89@gmail.com

suyog-ghimire/bart-dyslexia-summarizer

Dyslexia-Friendly Summarizer

Model Details

What This Model Does