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--- |
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license: mit |
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Programminglanguage: "Java" |
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version: "N/A" |
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Date: "2014 Big clone bench paper https://www.cs.usask.ca/faculty/croy/papers/2014/SvajlenkoICSME2014BigERA.pdf" |
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Contaminated: "Very Likely" |
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Size: "Standard Tokenizer" |
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--- |
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### Dataset is imported from CodeXGLUE and pre-processed using their script. |
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# Where to find in Semeru: |
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The dataset can be found at /nfs/semeru/semeru_datasets/code_xglue/code-to-code/Clone-detection-BigCloneBench in Semeru |
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# CodeXGLUE -- Clone Detection (BCB) |
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## Task Definition |
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Given two codes as the input, the task is to do binary classification (0/1), where 1 stands for semantic equivalence and 0 for others. Models are evaluated by F1 score. |
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## Updates |
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2021-9-13: We have update the evaluater script. Since it's a binary classification, we use binary F1 score instead of "macro" F1 score. |
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## Dataset |
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The dataset we use is [BigCloneBench](https://www.cs.usask.ca/faculty/croy/papers/2014/SvajlenkoICSME2014BigERA.pdf) and filtered following the paper [Detecting Code Clones with Graph Neural Network and Flow-Augmented Abstract Syntax Tree](https://arxiv.org/pdf/2002.08653.pdf). |
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### Data Format |
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1. dataset/data.jsonl is stored in jsonlines format. Each line in the uncompressed file represents one function. One row is illustrated below. |
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- **func:** the function |
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- **idx:** index of the example |
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2. train.txt/valid.txt/test.txt provide examples, stored in the following format: idx1 idx2 label |
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### Data Statistics |
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Data statistics of the dataset are shown in the below table: |
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| | #Examples | |
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| ----- | :-------: | |
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| Train | 901,028 | |
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| Dev | 415,416 | |
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| Test | 415,416 | |
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## Reference |
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<pre><code>@inproceedings{svajlenko2014towards, |
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title={Towards a big data curated benchmark of inter-project code clones}, |
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author={Svajlenko, Jeffrey and Islam, Judith F and Keivanloo, Iman and Roy, Chanchal K and Mia, Mohammad Mamun}, |
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booktitle={2014 IEEE International Conference on Software Maintenance and Evolution}, |
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pages={476--480}, |
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year={2014}, |
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organization={IEEE} |
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} |
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@inproceedings{wang2020detecting, |
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title={Detecting Code Clones with Graph Neural Network and Flow-Augmented Abstract Syntax Tree}, |
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author={Wang, Wenhan and Li, Ge and Ma, Bo and Xia, Xin and Jin, Zhi}, |
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booktitle={2020 IEEE 27th International Conference on Software Analysis, Evolution and Reengineering (SANER)}, |
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pages={261--271}, |
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year={2020}, |
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organization={IEEE} |
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}</code></pre> |
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