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We hope that CodeSearchNet is a step towards engaging with the broader machine learning and NLP community regarding the relationship between source code and natural language. We describe a specific task here, but we expect and welcome other uses of our dataset.
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More context regarding the motivation for this problem is in this [technical report][paper].
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More context regarding the motivation for this problem is in this [technical report][paper]. Please, cite the dataset and the challenge as
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```
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@article{husain2019codesearchnet,
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title={{CodeSearchNet} challenge: Evaluating the state of semantic code search},
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author={Husain, Hamel and Wu, Ho-Hsiang and Gazit, Tiferet and Allamanis, Miltiadis and Brockschmidt, Marc},
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journal={arXiv preprint arXiv:1909.09436},
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year={2019}
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}
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```
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## Data
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