8000 Merge pull request #15 from github/old_repo_ref · github/CodeSearchNet@09c3594 · GitHub
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Hamel Husain
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Merge pull request #15 from github/old_repo_ref
switching refs to old repo
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README.md

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```bash
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# clone this repository
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git clone https://github.com/ml-msr-github/CodeSearchNet.git
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git clone https://github.com/github/CodeSearchNet.git
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cd CodeSearchNet/
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# download data (~3.5GB) from S3; build and run the Docker container
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script/setup

src/predict.py

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This script generates ranking results over the CodeSearchNet corpus for a given model by scoring their relevance
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(using that model) to 99 search queries of the CodeSearchNet Challenge. We use cosine distance between the learned
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representations of the natural language queries and the code, which is stored in jsonlines files with this format:
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https://github.com/ml-msr-github/CodeSearchNet#preprocessed-data-format. The 99 challenge queries are located in
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this file: https://github.com/ml-msr-github/CodeSearchNet/blob/master/resources/queries.csv.
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https://github.com/github/CodeSearchNet#preprocessed-data-format. The 99 challenge queries are located in
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this file: https://github.com/github/CodeSearchNet/blob/master/resources/queries.csv.
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To download the full CodeSearchNet corpus, see the README at the root of this repository.
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Note that this script is specific to methods and code in our baseline model and may not generalize to new models.

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