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license: cc-by-4.0
language:
- en
size_categories:
- 10K<n<100K
---
# 🐾 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
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