🐾 Taming CATS — Dataset Collection

This repository serves as a central landing page for the datasets used in the study:

Taming CATS: Controllable Automatic Text Simplification through Instruction Fine-Tuning with Control Tokens

🔗 Code: https://github.com/shtosti/taming-CATS
📄 Paper: TODO (add link once available)

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Overview

We provide a multi-domain collection of datasets for controllable automatic text simplification (CATS), covering:

• 🏥 medical text
• 🏛️ public administration
• 📚 encyclopedic text

All datasets have been:

• cleaned and filtered
• transformed into a unified JSON schema
• enriched with precomputed control attributes, including:
  • readability metrics (FKGL, ARI, Dale–Chall)
  • compression ratios (character and word level)

The unified format enables consistent training, evaluation, and cross-domain comparison.

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Available Datasets

The following datasets are publicly available on Hugging Face:

🏥 Med-EASi (Medical Domain)

• 🔗 https://huggingface.co/datasets/shtosti/Med-EASi
• 📌 shtosti/Med-EASi

🏛️ SimPA (Public Administration Domain)

• 🔗 https://huggingface.co/datasets/shtosti/SimPA
• 📌 shtosti/SimPA

📚 WikiLarge (Encyclopedic Domain)

• 🔗 https://huggingface.co/datasets/shtosti/WikiLarge_ori_splitwise
• 📌 shtosti/WikiLarge_ori_splitwise

Each dataset includes:

• standardized JSONL format
• precomputed readability and compression metrics
• train / validation / test splits
• preprocessing and filtering as described in the paper

Newsela Dataset

The Newsela dataset was also used in this study but cannot be redistributed due to licensing restrictions.

Researchers can obtain access through the official Newsela data release.

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Data Format

All datasets follow a unified structure, including:

• source_text
• simplification_text
• source_metrics
• target_metrics
• metadata (domain, dataset, annotation type, etc.)

This schema enables direct use for controllable generation tasks without additional preprocessing.

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License

This repository serves as an index of datasets and does not contain the datasets themselves.

Each dataset is distributed under its original license.
Please refer to the individual dataset pages for detailed licensing information.

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Citation

If you use these datasets, please cite: TODO add once available