Neural Code Search Evaluation Dataset
August 26, 2019 ยท Entered Twilight ยท ๐ arXiv.org
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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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