| --- |
| license: cc-by-4.0 |
| task_categories: |
| - text-retrieval |
| - text-classification |
| language: |
| - code |
| size_categories: |
| - 1K<n<10K |
| pretty_name: statcodesearch |
| --- |
| # Dataset Card for statcodesearch |
|
|
| <!-- Provide a quick summary of the dataset. --> |
|
|
| The StatCodeSearch dataset is a benchmark test set consisting of code comment pairs extracted from R programming language scripts authored mostly by researchers. The dataset is sourced from the Open Science Framework (OSF). It includes text and code samples from R projects that pertain to the fields of social science and psychology with a focus on the statistical analysis of research data. As part of the GenCodeSearchNet test suite, this dataset can be used to test programming language understanding on a low resource programming language. |
|
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| ## Dataset Details |
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| ### Dataset Sources [optional] |
|
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| <!-- Provide the basic links for the dataset. --> |
|
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| - **Repository:** https://github.com/drndr/gencodesearchnet |
| - **Paper [optional]:** https://arxiv.org/abs/2311.09707 |
| |
| ## Uses |
|
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| - **Semantic Code Search:** using the comments as querries, return the matching code snippets from the set. |
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| - **Code Classification:** using the labels, classify the code snippets in to four categories: Data Variable, Visualization, Statistical Modeling, Statistical Test |
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|
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| ## Dataset Structure |
|
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| - **Id**: unique identifier for each item |
| - **Comment**: full string of a comment describing a code snippet |
| - **Code**: full string of a code snippet |
| - **Label**: class of a code snippet |
| - **Source**: the OSF repository of the extracted code-comment pair |
| - **File**: the name of the R file of the extracted code-comment pair from the OSF repository |
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|
|
| ## Citation [optional] |
|
|
| <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> |
|
|
| **BibTeX:** |
| ``` |
| @inproceedings{diera2023gencodesearchnet, |
| title={GenCodeSearchNet: A Benchmark Test Suite for Evaluating Generalization in Programming Language Understanding}, |
| author={Diera, Andor and Dahou, Abdelhalim and Galke, Lukas and Karl, Fabian and Sihler, Florian and Scherp, Ansgar}, |
| booktitle={Proceedings of the 1st GenBench Workshop on (Benchmarking) Generalisation in NLP}, |
| pages={12--24}, |
| year={2023} |
| } |
| ``` |
