| --- |
| license: apache-2.0 |
| task_categories: |
| - text-classification |
| language: |
| - el |
| tags: |
| - greek |
| - nlp |
| - clustering |
| - classification |
| - medical |
| pretty_name: GreekPubMed4000 |
| size_categories: |
| - 1K<n<10K |
| configs: |
| - config_name: default |
| data_files: |
| - split: all_rows |
| path: GreekPubMed4000.csv |
| --- |
| |
| # GreekPubMed4000 |
|
|
| We introduce GreekPubMed40000, a clustering and classification dataset that comprises 4,000 medical documents translated into Greek from [PubMed4000](https://link.springer.com/article/10.1007/s10115-018-1278-7). |
| For information about dataset creation, limitations etc. see the [upcoming conference paper - TBA](). |
|
|
| ### Supported Tasks |
|
|
| This dataset supports **Text Clustering and Classification**. |
|
|
| ### Language |
|
|
| All dataset samples are written in Greek. |
|
|
| ## Dataset Structure |
|
|
| The dataset is structured as a `.csv` file of 4000 rows. |
| The following data fields are provided: |
|
|
| `id`: (**int**) The row id. |
| `text`: (**str**) The medical text. |
| `label`: (**str**): The classification label (4 different values). |
|
|
| ### Example code |
| ```python |
| from datasets import load_dataset |
| |
| # Load the dataset. |
| dataset = load_dataset('IMISLab/GreekPubMed4000', split = 'all_rows') |
| print(dataset[0]) |
| ``` |
| ## Contact |
|
|
| If you have any questions/feedback about the dataset please e-mail one of the following authors: |
| ``` |
| giarelis@ceid.upatras.gr |
| karacap@upatras.gr |
| ``` |
| ## Citation |
|
|
| ``` |
| TBA |
| ``` |
