adding the 4 variants of the dataset

readme.txt

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+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