|
--- |
|
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 |
|
- Greek NLP |
|
- Text Classification |
|
- Topic Classification |
|
- Title Generation |
|
pretty_name: Greek Reddit |
|
size_categories: |
|
- 1K<n<10K |
|
--- |
|
|
|
# GreekReddit |
|
|
|
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 [Greek-Reddit-BERT](https://huggingface.co/IMISLab/Greek-Reddit-BERT) as part of our research article: |
|
[Mastrokostas, C., Giarelis, N., & Karacapilidis, N. (2024). Social Media Topic Classification on Greek Reddit](https://www.mdpi.com/2078-2489/15/9/521) |
|
For information about dataset creation, limitations etc. see the original article. |
|
|
|
<img src="Greek Reddit icon.svg" width="200"/> |
|
|
|
### 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`: (**str**): 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 dataset please e-mail one of the following authors: |
|
``` |
|
[email protected] |
|
[email protected] |
|
[email protected] |
|
``` |
|
## Citation |
|
|
|
``` |
|
@article{mastrokostas2024social, |
|
title={Social Media Topic Classification on Greek Reddit}, |
|
author={Mastrokostas, Charalampos and Giarelis, Nikolaos and Karacapilidis, Nikos}, |
|
journal={Information}, |
|
volume={15}, |
|
number={9}, |
|
pages={521}, |
|
year={2024}, |
|
publisher={Multidisciplinary Digital Publishing Institute} |
|
} |
|
``` |
