| --- |
| license: mit |
| Programminglanguage: "ruby" |
| version: "N/A" |
| Date: "Codesearchnet(Jun 2020 - paper release date)" |
| Contaminated: "Very Likely" |
| Size: "Standar Tokenizer (TreeSitter)" |
|
|
| --- |
| |
| ### 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-text/ruby in Semeru |
|
|
|
|
| # CodeXGLUE -- Code-To-Text |
|
|
| ## Task Definition |
|
|
| The task is to generate natural language comments for a code, and evaluted by [smoothed bleu-4](https://www.aclweb.org/anthology/C04-1072.pdf) score. |
|
|
| ## Dataset |
|
|
| The dataset we use comes from [CodeSearchNet](https://arxiv.org/pdf/1909.09436.pdf) and we filter the dataset as the following: |
|
|
| - Remove examples that codes cannot be parsed into an abstract syntax tree. |
| - Remove examples that #tokens of documents is < 3 or >256 |
| - Remove examples that documents contain special tokens (e.g. <img ...> or https:...) |
| - Remove examples that documents are not English. |
|
|
|
|
| ### Data Format |
|
|
| After preprocessing dataset, you can obtain three .jsonl files, i.e. train.jsonl, valid.jsonl, test.jsonl |
|
|
| For each file, each line in the uncompressed file represents one function. One row is illustrated below. |
|
|
| - **repo:** the owner/repo |
|
|
| - **path:** the full path to the original file |
|
|
| - **func_name:** the function or method name |
| |
| - **original_string:** the raw string before tokenization or parsing |
|
|
| - **language:** the programming language |
|
|
| - **code/function:** the part of the `original_string` that is code |
|
|
| - **code_tokens/function_tokens:** tokenized version of `code` |
|
|
| - **docstring:** the top-level comment or docstring, if it exists in the original string |
|
|
| - **docstring_tokens:** tokenized version of `docstring` |
| |
| ### Data Statistic |
| |
| | Programming Language | Training | Dev | Test | |
| | :------------------- | :------: | :----: | :----: | |
| | Ruby | 24,927 | 1,400 | 1,261 | |
| |
| ## Reference |
| <pre><code>@article{husain2019codesearchnet, |
| title={Codesearchnet challenge: Evaluating the state of semantic code search}, |
| author={Husain, Hamel and Wu, Ho-Hsiang and Gazit, Tiferet and Allamanis, Miltiadis and Brockschmidt, Marc}, |
| journal={arXiv preprint arXiv:1909.09436}, |
| year={2019} |
| }</code></pre> |
| |
