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README.md
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download_size: 229809783
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dataset_size: 347089107
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---
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download_size: 229809783
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dataset_size: 347089107
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---
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# About the Dataset
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The source code used to generate the dataset can be found on
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[GitHub](https://github.com/alexjercan/bug-detection/tree/master/bugnet)
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The dataset is based on the [CodeNet project](https://github.com/IBM/Project_CodeNet)
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and contains Python and C++ code submissions for online coding competitions. The data
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is obtained by selecting consecutive attempts of a single user that resulted in fixing a
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buggy submission. Thus the data is represented by code pairs and annotated by the diff
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and error of each changed instruction. We have already tokenized all the source code
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files and kept the same format as in the original dataset.
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The upgrade made compared to CodeNetPy is that we only keep one line errors.
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This means that the task of bug detection and repair will be easier to manage.
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We also removed all the files that fail on linters, so that we are focusing only
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on bugs that cannot be identified easily.
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The resulting dataset file will be a csv with the following columns:
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- `problem_id`: The id of the problem, matches with the id from Project_CodeNet
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- `language`: The programming language of the submission (`Python` or `C++`)
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- `original_status`: The status of the initial submission (`TLE`, `MLE`, anything that is not `Accepted`)
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- `fail`: The initial (buggy) source code formatted (`black` or `clang-fromat`)
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- `pass`: The modified (accepted) source code formatted(`black` or `clang-format`
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- `change`: The change that was made (`replace`, `insert`, `delete`)
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- `i1`: Start of the change in the buggy source (the line; starting with 1)
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- `i2`: End of the change in the buggy source (not inclusive; for `insert` we have `i1 == i2`)
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- `j1`: Start of the change in the accepted source (the line; starting with 1)
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- `j2`: End of the change in the accepted source (not inclusive; for `delete` we have `j1 == j2`)
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- `error`: The error that was obtained running the buggy source code on the input/output examples
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- `stderr`: The full output of stderr of running the buggy source code on the input/output examples
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- `description`: The problem statement in html format
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- `input`: The input for the test case
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- `output`: The output for the test case
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