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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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+ # GreekPubMed4000
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+
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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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+
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+ ### Supported Tasks
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+
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+ This dataset supports **Text Clustering and Classification**.
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+
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+ ### Language
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+
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+ All dataset samples are written in Greek.
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+
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+ ## Dataset Structure
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+
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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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+
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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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+
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+ ### Example code
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+ ```python
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+ from datasets import load_dataset
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+
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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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+
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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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+ ```
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+ TBA
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+ ```