README.md

---
datasets:
  - Estonian
  - Text Simplification
tags:
  - Estonian
  - Text Simplification
  - NLP
  - LLaMA
  - OpenNMT
license: cc-by-4.0
language:
  - et
size_categories:
  - 100K<n<1M
task_categories:
  - text2text-generation
task_ids:
  - text-simplification
---


# Estonian Text Simplification

This repository contains resources and models for Estonian text simplification, including datasets and pre-trained models.

## Files

### Dataset Files
- **`simplification_training_set.json`**: A dataset used to fine-tune LLaMA 3.1 for text simplification.
  - **`src`**: The source of the data.
  - **`original`**: The original sentence to be simplified.
  - **`simpl_lex`**: A lexical simplification (may be empty).
  - **`simpl_final`**: The final simplified sentence.

- **`manually_checked_simplifications.json`**: Simplifications verified by human raters.
  - **`original`**: The original sentence to be simplified.
  - **`simplified`**: The automatically simplified sentence.
  - **`corrected`**: The sentence corrected by the annotator.

- **`wiki_large.json`**: Automatically translated WikiLarge corpus to Estonian.
  - **`eng`**: The English sentence from WikiLarge.
  - **`machine_translation`**: The Estonian sentence produced by machine translation.

### Models
- **`llama31-model.zip`**: A fine-tuned version of LLaMA 3.1 for Estonian text simplification, trained on `simplification_training_set.json`.
- **`openNMT-SimplificationModel.pt`**: An OpenNMT model trained for Estonian text simplification that combines `wiki_large.json` with `simplification_training_set.json`.

## How to Use
1. Download the dataset files for analysis or further fine-tuning.
2. Use the models in your text simplification pipelines.

## Licensing
This repository is licensed under **CC BY**.

## Citation
These resources were created in the EKTB55 project **"Teksti lihtsustamine eesti keeles"**.

## Credits
Coordinator: Eduard Barbu  
Data Custodian: Meeri-Ly Muru  
Annotators: Piret Kivi and Mihkel Rünkla