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---
license: apache-2.0
language:
- el
pipeline_tag: text-classification
task_categories:
- text-classification
- text-generation
- zero-shot-classification
task_ids:
- multi-class-classification
- topic-classification
tags:
- Social Media
- Reddit
- Text Classification
- Topic Classification
- Title Generation
- Greek
- Greek NLP
pretty_name: Greek Reddit
size_categories:
- 1K<n<10K
---
# GreekReddit
<img src="Greek Reddit icon.svg" width="200"/>
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 upcoming research article: [Mastrokostas, C., Giarelis, N., & Karacapilidis, N. (2024). 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:
```
[email protected]
[email protected]
[email protected]
```
## Citation
```
TBA
``` |