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This dataset contains ecore metamodels from the MAR dataset transformed into tree representations. The original dataset can be found here: http://mar-search.org/experiments/models20/ The data contained in this repository were used to conduct the experiments in the paper: Recommending Metamodel Concepts during Modeling Activities with Pre-Trained Language Models. Link to the paper: https://arxiv.org/abs/2104.01642 The data are organized as follows: model : our model trained on the tree representations of metamodels with RoBERTa architecture. tokenizers : the byte-level BPE tokenizer we used to train our model. train : the training data separated into a training and validation set. test : the test data of all experiments conducted in the paper. This data repository is linked with the following Github repository containing our code: https://github.com/martiwey/metamodel-concepts-bert
ecore, metamodels, bert, pretrained language models, MDE, ecore, metamodels, bert, pre-trained, modeling
ecore, metamodels, bert, pretrained language models, MDE, ecore, metamodels, bert, pre-trained, modeling
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