Published August 3, 2022
| Version v1
Dataset
Open
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
Creators
Contributors
Supervisors:
- 1. Humboldt-Universität zu Berlin
- 2. University of Kassel
Description
- Cleaned_Dataset.csv – The combined CSV files of all scraped documents from DABI, e-LiS, o-bib and Springer.
- Data_Cleaning.ipynb – The Jupyter Notebook with python code for the analysis and cleaning of the original dataset.
- ger_train.csv – The German training set as CSV file.
- ger_validation.csv – The German validation set as CSV file.
- en_test.csv – The English test set as CSV file.
- en_train.csv – The English training set as CSV file.
- en_validation.csv – The English validation set as CSV file.
- splitting.py – The python code for splitting a dataset into train, test and validation set.
- DataSetTrans_de.csv – The final German dataset as a CSV file.
- DataSetTrans_en.csv – The final English dataset as a CSV file.
- translation.py – The python code for translating the cleaned dataset.
Files
Cleaned_Dataset.csv
Files
(866.4 MB)
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