Source Code Embeddings
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资源简介：
A set of six pretrained fastText models for semantic representations of source code. Each of the models has been trained on high-quality GitHub repositories where the primary language is one of Java, Python, C++, C#, C, PHP. For collecting training data 13.144 repositories were cloned, 2.402.790.348 lines of code were read out of 944,467,560 files and preprocessed, to finally produce a total of 944.467.560 tokens of clean training data. For further details refer to the following paper: Efstathiou, V., Spinellis, D., 2019. "Semantic Source Code Models Using Identifier Embeddings". In <em>16th International Conference on Mining Software Repositories: Data Showcase Track. MSR'19. </em>
创建时间：
2019-02-07
