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@ -79,7 +79,15 @@ Finally, you can submit your run to the [community benchmark](https://app.wandb.
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.
More context regarding the motivation for this problem is in this [technical report][paper].
More context regarding the motivation for this problem is in this [technical report][paper]. Please, cite the dataset and the challenge as
```
@article{husain2019codesearchnet,
title={{CodeSearchNet} challenge: Evaluating the state of semantic code search},
author={Husain, Hamel and Wu, Ho-Hsiang and Gazit, Tiferet and Allamanis, Miltiadis and Brockschmidt, Marc},
journal={arXiv preprint arXiv:1909.09436},
year={2019}
}
```
## Data