| --- |
| 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: |
| ``` |
| giarelis@ceid.upatras.gr |
| cmastrokostas@ac.upatras.gr |
| karacap@upatras.gr |
| ``` |
| ## 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} |
| } |
| ``` |
