CodeXGLUE: A benchmark dataset and open challenge for code intelligence

According to Evans Data Corporation, there are 23.9 million professional developers in 2019, and the population is expected to reach 28.7 million in 2024. With the growing population of developers, code intelligence, which aims to leverage AI to help software developers improve the productivity of the development process, is growing increasingly important in both communities of software engineering and artificial intelligence.

When developers want to find code written by others with the same intent, code search systems can help automatically retrieve semantically relevant code given natural language queries. When developers are confused about what to write next, code completion systems can help by automatically completing the following tokens given the context of the edits being made. When developers want to implement Java code with the same function of some existing body of Python code, code-to-code translation systems can help translate from one programming language (Python) to another (Java).

Code intelligence therefore plays a vital role in

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