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license: apache-2.0
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---
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license: apache-2.0
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task_categories:
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- text-classification
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language:
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- el
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tags:
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- greek
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- nlp
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- clustering
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- classification
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- medical
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pretty_name: GreekPubMed4000
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size_categories:
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- 1K<n<10K
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configs:
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- config_name: default
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data_files:
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- split: all
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path: GreekPubMed4000.csv
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---
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# GreekPubMed4000
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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).
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For information about dataset creation, limitations etc. see the [upcoming conference paper - TBA]().
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### Supported Tasks
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This dataset supports **Text Clustering and Classification**.
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### Language
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All dataset samples are written in Greek.
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## Dataset Structure
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The dataset is structured as a `.csv` file of 4000 rows.
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The following data fields are provided:
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`id`: (**int**) The row id.
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`text`: (**str**) The medical text.
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`label`: (**str**): The classification label (4 different values).
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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 dataset.
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dataset = load_dataset('IMISLab/GreekPubMed4000', split = 'all')
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print(dataset[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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giarelis@ceid.upatras.gr
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karacap@upatras.gr
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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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