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