datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
age-specific-text-simplification
Age-Specific Text Simplification Dataset
Dataset Description
This dataset contains complex texts simplified into age-appropriate versions for children aged 3, 4, and 5 years old. Each original text has been professionally adapted to match the cognitive development, vocabulary, and comprehension abilities of each specific age group.
Dataset Summary
Total Examples: 17,177
Training Split: 15,459 examples
Validation Split: 1,718 examples
Languages:… See the full description on the dataset page: https://huggingface.co/datasets/hasankursun/age-specific-text-simplification.samer-arabic-text-simplification
SAMER Arabic Text Simplification Dataset (Cleaned Version)
Description
This dataset is a cleaned and structured version of the SAMER Corpus (The SAMER Arabic Text Simplification Corpus). It is prepared specifically for training Seq2Seq models (e.g., AraT5) and fine-tuning Large Language Models (LLMs) on Arabic Text Simplification and Readability Assessment tasks.
Dataset Structure
The dataset contains the following fields:
clean_text: Cleaned… See the full description on the dataset page: https://huggingface.co/datasets/vn3er/samer-arabic-text-simplification.