---
license: apache-2.0
language:
- el
pipeline_tag: text-classification
task_categories:
- text-classification
- text-generation
- zero-shot-classification
tags:
- social media
- Reddit
- Text Classification
- Greek
- Greek NLP
pretty_name: GreekReddit
size_categories:
- 1K<n<10K
---

# GreekReddit

<img src="" width="600"/>

A Greek topic classification dataset collected from Greek subreddits, which contains 6,534 posts, their titles and topic labels.  
This dataset has been used to train our best-performing model []() as part of our research paper: [Social Media Topic Classification on Greek Reddit]()  
For information about dataset creation, limitations etc. see the original article.

### Supported Tasks and Leaderboards

This dataset supports:

**Multi-class Text Classification:** Given the text of a post, a model learns to predict the associated topic label.  
**Title Generation:** Given the text of a post, a text generation model learns to generate a post title.

### Languages

All posts 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:

`id`: (**str**)  A unique post id.  
`title`: (**str**) A short post title.  
`text`: (**str**) The full text of the post.  
`url`: (**str**) The URL which links to the original unprocessed post.  
`category`: (**class label**): The class label of the post.  

### Data Splits

|Split|No of Documents| 
|-------------------|------------------------------------|
|Train|5,530|
|Validation|504|
|Test|500|

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

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

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

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

The model has been officially released with the article: [Social Media Topic Classification on Greek Reddit]().
If you use the model, please cite the following:
```
TBA
```