---
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
```