| --- |
| license: apache-2.0 |
| language: |
| - el |
| pipeline_tag: summarization |
| task_categories: |
| - summarization |
| - text-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 93,432 articles, their titles and summaries. |
| This dataset has been used to train our best-performing model [GreekWiki-umt5-base](https://huggingface.co/IMISLab/IMISLab/GreekWiki-umt5-base/) as part of our research paper: |
| [Giarelis, N., Mastrokostas, C., & Karacapilidis, N. (2024) Greek Wikipedia: A Study on Abstractive Summarization](https://dl.acm.org/doi/full/10.1145/3688671.3688769). |
| 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|83,432| |
| |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 |
|
|
| ``` |
| @inproceedings{giarelis2024greek, |
| title={Greek Wikipedia: A Study on Abstractive Summarization}, |
| author={Giarelis, Nikolaos and Mastrokostas, Charalampos and Karacapilidis, Nikos}, |
| booktitle={Proceedings of the 13th Hellenic Conference on Artificial Intelligence}, |
| pages={1--11}, |
| year={2024} |
| } |
| ``` |
