Datasets:
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README.md
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license: apache-2.0
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---
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license: apache-2.0
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language:
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- el
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pipeline_tag: summarization
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task_categories:
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- summarization
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- text-generation
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- text2text-generation
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task_ids:
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- summarization
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- text-generation
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- title-generation
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tags:
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- GreekNLP
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- Text Summarization
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- Text Generation
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- Title Generation
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- Greek
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- Wikipedia
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pretty_name: Greek Wikipedia
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size_categories:
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- 10K<n<100K
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---
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# GreekWikipedia
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A Greek abstractive summarization dataset collected from the Greek part of [Wikipedia](https://el.wikipedia.org/), which contains 93,433 articles, their titles and summaries.
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This dataset has been used to train our best-performing model [GreekT5-umt5-base-greekwikipedia](https://huggingface.co/IMISLab/GreekT5-umt5-base-greekwikipedia/) as part of our research article:
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[Giarelis, N., Mastrokostas, C., & Karacapilidis, N. (2024) Greek Wikipedia: A Study on Abstractive Summarization]()
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For information about dataset creation, limitations etc. see the original article.
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<img src="Greek Wiki icon.svg" width="200"/>
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### Supported Tasks and Leaderboards
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This dataset supports:
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**Text summarization:** Given the text of an article, a text generation model learns to generate an abstractive summary.
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**Title Generation:** Given the text of an article, a text generation model learns to generate a post title.
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### Languages
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All articles are written in Greek.
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## Dataset Structure
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### Data Instances
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The dataset is structured as a `.csv` file, while three dataset splits are provided (train, validation and test).
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### Data Fields
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The following data fields are provided for each split:
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`title`: (**str**) A short title.
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`article`: (**str**) The full text of the article.
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`summary`: (**str**): The abstractive summary of the article.
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`url`: (**str**) The URL which links to the original unprocessed article.
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### Data Splits
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|Split|No of Documents|
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|-------------------|------------------------------------|
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|Train|83,433|
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|Validation|5000|
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|Test|5000|
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### Example code
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```python
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from datasets import load_dataset
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# Load the training, validation and test dataset splits.
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train_split = load_dataset('IMISLab/GreekWikipedia', split = 'train')
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validation_split = load_dataset('IMISLab/GreekWikipedia', split = 'validation')
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test_split = load_dataset('IMISLab/GreekWikipedia', split = 'test')
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print(test_split[0])
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```
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## Contact
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If you have any questions/feedback about the dataset please e-mail one of the following authors:
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```
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```
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## Citation
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```
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TBA
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```
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