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---
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.
## Dataset Details
### Dataset Sources [optional]
<!-- Provide the basic links for the dataset. -->
- **Repository:** https://github.com/drndr/gencodesearchnet
- **Paper [optional]:** https://arxiv.org/abs/2311.09707
## Uses
- **Semantic Code Search:** using the comments as querries, return the matching code snippets from the set.
- **Code Classification:** using the labels, classify the code snippets in to four categories: Data Variable, Visualization, Statistical Modeling, Statistical Test
## Dataset Structure
- **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
## 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}
}
``` |