---
license: apache-2.0
language:
- el
pipeline_tag: summarization
task_categories:
- summarization
- text-generation
- text2text-generation
task_ids:
- summarization
- text-generation
- title-generation
tags:
- GreekNLP
- Text Summarization
- Text Generation
- Title Generation
- Greek
- Wikipedia
pretty_name: Greek Wikipedia
size_categories:
- 10K<n<100K
---

# GreekWikipedia

A Greek abstractive summarization dataset collected from the Greek part of [Wikipedia](https://el.wikipedia.org/), which contains 93,433 articles, their titles and summaries.  
This dataset has been used to train our best-performing model [GreekT5-umt5-base-greekwikipedia](https://huggingface.co/IMISLab/GreekT5-umt5-base-greekwikipedia/) as part of our research article:   
[Giarelis, N., Mastrokostas, C., & Karacapilidis, N. (2024) Greek Wikipedia: A Study on Abstractive Summarization]()
For information about dataset creation, limitations etc. see the original article.

<img src="Greek Wiki icon.svg" width="200"/>

### Supported Tasks and Leaderboards

This dataset supports:

**Text summarization:** Given the text of an article, a text generation model learns to generate an abstractive summary.  
**Title Generation:** Given the text of an article, a text generation model learns to generate a post title.

### Languages

All articles are written in Greek.

## Dataset Structure

### Data Instances

The dataset is structured as a `.csv` file, while three dataset splits are provided (train, validation and test).

### Data Fields

The following data fields are provided for each split:

`title`: (**str**) A short title.  
`article`: (**str**) The full text of the article.  
`summary`: (**str**): The abstractive summary of the article.  
`url`: (**str**) The URL which links to the original unprocessed article.  

### Data Splits

|Split|No of Documents| 
|-------------------|------------------------------------|
|Train|83,433|
|Validation|5000|
|Test|5000|

### Example code
```python
from datasets import load_dataset

# Load the training, validation and test dataset splits.
train_split = load_dataset('IMISLab/GreekWikipedia', split = 'train')
validation_split = load_dataset('IMISLab/GreekWikipedia', split = 'validation')
test_split = load_dataset('IMISLab/GreekWikipedia', split = 'test')

print(test_split[0])
```
## Contact

If you have any questions/feedback about the dataset please e-mail one of the following authors:
```
giarelis@ceid.upatras.gr
cmastrokostas@ac.upatras.gr
karacap@upatras.gr
```
## Citation

```
TBA
```