Datasets:
Tasks:
Text Generation
Formats:
parquet
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
code
DOI:
License:
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README.md
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path: py/train-*
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# LCA (Bug Localization)
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This is the data for **Bug Localization** benchmark as part of LCA.
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## How-to
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path: py/train-*
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# LCA (Bug Localization)
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This is the data for **Bug Localization** benchmark as part of LCA.
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The bug localization problem can be formulated as follows: given an issue with a bug description and a repository snapshot in a state where the bug is reproducible, identify the files within the repository that need to be modified to address the reported bug.
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The dataset provides all required components for evaluation of **Bug Localization** approaches in real project-level large-scale data collected from GitHub, including:
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* Bug reports
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* Repository content with the commit sha where the bug is reproducible
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* List of files that should be changed in order to solve the bug
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* Other additional data and metrics, that can be useful in approach development
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The following sections will describe the utilities around the dataset as well as detailed dataset content description.
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## How-to
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