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README.md
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@@ -12,9 +12,7 @@ Disha Shrivastava, Denis Kocetkov, Harm de Vries, Dzmitry Bahdanau, Torsten Scho
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This space contains the released resources for our paper "RepoFusion: Training Code Models to Understand Your Repository". A block diagram of our approach can be found below. For more details, refer to the paper.
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<img src="block_diagram.png">
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</p>
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## Data
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Stack-Repo can be downloaded from the [Datasets](https://huggingface.co/datasets/RepoFusion/Stack-Repo) section of this space. It contains three folders corresponding to our train, validation and test splits. Each split contains separate folder for a repository where each repository contains all .java files in the repository in the original directory structure along with three .json files corresponding to the Prompt Proposal, BM25 and RandomNN repo contexts. Please see the README for the Datasets section for organization and details of accessing our dataset.
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This space contains the released resources for our paper "RepoFusion: Training Code Models to Understand Your Repository". A block diagram of our approach can be found below. For more details, refer to the paper.
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## Data
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Stack-Repo can be downloaded from the [Datasets](https://huggingface.co/datasets/RepoFusion/Stack-Repo) section of this space. It contains three folders corresponding to our train, validation and test splits. Each split contains separate folder for a repository where each repository contains all .java files in the repository in the original directory structure along with three .json files corresponding to the Prompt Proposal, BM25 and RandomNN repo contexts. Please see the README for the Datasets section for organization and details of accessing our dataset.
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