README.md

---
license: cc-by-nc-4.0
task_categories:
- text-generation
language:
- uk
---

# Dataset Card for Spivavtor

## Paper: <u>Spivavtor: An Instruction Tuned Ukrainian Text Editing Model</u>

## Authors: Aman Saini, Artem Chernodub, Vipul Raheja, Vivek Kulkarni

## Dataset Summary
This is the dataset used to train all Spivavtor models. It contains data for 4 tasks - Grammatical Error Correction (GEC), Simplification, Coherence and Paraphrasing. 
The specific details are as follows:
<table>
  <tr>
    <th>Task</th>
    <th>Examples in Training data</th>
    <th>Examples in Validation data</th>
  </tr>
  <tr>
    <td>GEC</td>
    <td>27,929</td>
    <td>3,103</td>
  </tr>
  <tr>
    <td>Simplification</td>
    <td>11,501</td>
    <td>1,278</td>
  </tr>
  <tr>
    <td>Coherence</td>
    <td>9,278</td>
    <td>1,031</td>
  </tr>  
  <tr>
    <td>Paraphrasing</td>
    <td>14,076</td>
    <td>1,564</td>
  </tr>  
  <tr>
    <td>Total</td>
    <td>62,784</td>
    <td>6,976</td>
  </tr>  
</table>

Full details of the dataset can be found in our paper.  

# Dataset Structure
The dataset is in JSON format. 

## Data Instances
```
{
  "id": 1,
  "src": "Перефразуйте: Кайс став одержимий нещодавно усвідомленою вразливістю.",
  "tgt": "Кайс був одержимий своєю нововиявленою вразливістю.",
  "task": "paraphrase"
}
```

## Data Fields
* `id`: Unique ID for an instance 
* `src`: Input text in Ukrainian (formatted as `instruction: input_text`)
* `tgt`: Output text in Ukrainian
* `task`: Text editing task for this instance