Data Cleaning, Translation & Split of the Dataset for the Automatic Classification of Documents for the Classification System for the Berliner Handreichungen zur Bibliotheks- und Informationswissenschaft

<ul> <li>Cleaned_Dataset.csv &ndash; The combined CSV files of all scraped documents from DABI, e-LiS, o-bib and Springer.</li> <li>Data_Cleaning.ipynb &ndash; The Jupyter Notebook with python code for the analysis and cleaning of the original dataset.</li> <li>ger_train.csv &ndash; The German training set as CSV file.</li> <li>ger_validation.csv &ndash; The German validation set as CSV file.</li> <li>en_test.csv &ndash; The English test set as CSV file.</li> <li>en_train.csv &ndash; The English training set as CSV file.</li> <li>en_validation.csv &ndash; The English validation set as CSV file.</li> <li>splitting.py &ndash; The python code for splitting a dataset into train, test and validation set.</li> <li>DataSetTrans_de.csv &ndash; The final German dataset as a CSV file.</li> <li>DataSetTrans_en.csv &ndash; The final English dataset as a CSV file.</li> <li>translation.py &ndash; The python code for translating the cleaned dataset.</li> </ul>