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--- |
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license: cc-by-4.0 |
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task_categories: |
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- text-retrieval |
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- text-classification |
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language: |
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- code |
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size_categories: |
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- 1K<n<10K |
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pretty_name: statcodesearch |
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--- |
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# Dataset Card for statcodesearch |
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<!-- Provide a quick summary of the dataset. --> |
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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 |
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- **Paper [optional]:** https://arxiv.org/abs/2311.09707 |
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## 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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## Dataset Structure |
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- **Id**: unique identifier for each item |
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- **Comment**: full string of a comment describing a code snippet |
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- **Code**: full string of a code snippet |
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- **Label**: class of a code snippet |
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- **Source**: the OSF repository of the extracted code-comment pair |
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- **File**: the name of the R file of the extracted code-comment pair from the OSF repository |
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## Citation [optional] |
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<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> |
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**BibTeX:** |
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``` |
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@inproceedings{diera2023gencodesearchnet, |
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title={GenCodeSearchNet: A Benchmark Test Suite for Evaluating Generalization in Programming Language Understanding}, |
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author={Diera, Andor and Dahou, Abdelhalim and Galke, Lukas and Karl, Fabian and Sihler, Florian and Scherp, Ansgar}, |
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booktitle={Proceedings of the 1st GenBench Workshop on (Benchmarking) Generalisation in NLP}, |
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pages={12--24}, |
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year={2023} |
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} |
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``` |
