Neural Code Search Evaluation Dataset

August 26, 2019 ยท Entered Twilight ยท ๐Ÿ› arXiv.org

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Predates the code-sharing era โ€” a pioneer of its time

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Repo contents: CODE_OF_CONDUCT.md, CONTRIBUTING.md, LICENSE, README.md, data, download.py, requirements.txt

Authors Hongyu Li, Seohyun Kim, Satish Chandra arXiv ID 1908.09804 Category cs.SE: Software Engineering Citations 29 Venue arXiv.org Repository https://github.com/facebookresearch/Neural-Code-Search-Evaluation-Dataset โญ 124 Last Checked 2 months ago
Abstract
There has been an increase of interest in code search using natural language. Assessing the performance of such code search models can be difficult without a readily available evaluation suite. In this paper, we present an evaluation dataset consisting of natural language query and code snippet pairs, with the hope that future work in this area can use this dataset as a common benchmark. We also provide the results of two code search models ([1] and [6]) from recent work. The evaluation dataset is available at https://github.com/facebookresearch/Neural-Code-Search-Evaluation-Dataset
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