| This dataset is part of the bachelor thesis "Evaluating SQuAD-based Question Answering for the Open Research Knowledge Graph Completion". | |
| This dataset was created for the finetuning of Bert Based models pre-trained on the SQUaD dataset. The Dataset was created using semi-automatic approach | |
| on the ORKG data. The dataset.csv file contains the entire data (all properties) in a tabular for and is unsplit. The json files contain only the necessary | |
| fields for training and evaluation, with additional fields (index of start and end of the answers in the abstracts). The data in the json files is split (training data) | |
| and evaluation data. We create 4 variants of the training and evaluation sets for each one of the question labels ("no label", "how", "what", "which") | |
| For detailed information on each of the fields in the dataset, refer to section 4.2 (Corpus) of the Thesis document -- link thesis here -- | |
| The script used to generate the dataset can be found in the public repository: https://github.com/as18cia/thesis_work |