Datasets:
Tasks:
Text Retrieval
Modalities:
Text
Sub-tasks:
document-retrieval
Languages:
code
Size:
100K - 1M
ArXiv:
License:
| language_creators: | |
| - found | |
| language: | |
| - code | |
| license: | |
| - cc-by-nc-nd-4.0 | |
| multilinguality: | |
| - multilingual | |
| pretty_name: RepoBench-Retrieval | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - text-retrieval | |
| task_ids: | |
| - document-retrieval | |
| # Dataset Card for RepoBench-R | |
| ## Table of Contents | |
| - [Dataset Card for RepoBench-R](#dataset-card-for-repobench-r) | |
| - [Table of Contents](#table-of-contents) | |
| - [Dataset Description](#dataset-description) | |
| - [Dataset Summary](#dataset-summary) | |
| - [Supported Tasks](#supported-tasks) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Dataset Creation](#dataset-creation) | |
| - [Curation Rationale](#curation-rationale) | |
| - [Source Data](#source-data) | |
| - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization) | |
| - [Who are the source language producers?](#who-are-the-source-language-producers) | |
| - [Annotations](#annotations) | |
| - [Annotation process](#annotation-process) | |
| - [Who are the annotators?](#who-are-the-annotators) | |
| - [Personal and Sensitive Information](#personal-and-sensitive-information) | |
| - [Considerations for Using the Data](#considerations-for-using-the-data) | |
| - [Social Impact of Dataset](#social-impact-of-dataset) | |
| - [Discussion of Biases](#discussion-of-biases) | |
| - [Other Known Limitations](#other-known-limitations) | |
| - [Additional Information](#additional-information) | |
| - [Licensing Information](#licensing-information) | |
| - [Citation Information](#citation-information) | |
| - [Contributions](#contributions) | |
| ## Dataset Description | |
| - **Homepage:** https://github.com/Leolty/repobench | |
| - **Paper:** https://arxiv.org/abs/2306.03091 | |
| ### Dataset Summary | |
| RepoBench-R is a subtask of [RepoBench](https://github.com/Leolty/repobench), targeting the retrieval component of a repository-level auto-completion | |
| system, focusing on extracting the most relevant code snippet from a project repository for next-line | |
| code prediction. | |
| ### Supported Tasks | |
| The dataset supports two programming languages, Python and Java, and contains two settings: | |
| - `cff`: short for `cross_file_first`, where the cross-file module in next line is first used in the current file. | |
| - `cfr`: short for `cross_file_random`, where the cross-file module in next line is not first used in the current file. | |
| For each setting, we provide `train` and `test` subset, and each subset with two levels of difficulty: `easy` and `hard`. | |
| Suppose the number of code snippets in the context is \\(k\\), | |
| - For the `easy` subset, we have \\(5 \leq k < 10\\). | |
| - For the `hard` subset, we have \\(k \geq 10\\). | |
| ## Dataset Structure | |
| ## Dataset Creation | |
| ### Curation Rationale | |
| [More Information Needed] | |
| ### Source Data | |
| #### Initial Data Collection and Normalization | |
| [More Information Needed] | |
| #### Who are the source language producers? | |
| [More Information Needed] | |
| ### Annotations | |
| #### Annotation process | |
| [More Information Needed] | |
| #### Who are the annotators? | |
| [More Information Needed] | |
| ### Personal and Sensitive Information | |
| [More Information Needed] | |
| ## Considerations for Using the Data | |
| ### Social Impact of Dataset | |
| [More Information Needed] | |
| ### Discussion of Biases | |
| [More Information Needed] | |
| ### Other Known Limitations | |
| [More Information Needed] | |
| ## Additional Information | |
| ### Licensing Information | |
| [More Information Needed] | |
| ### Citation Information | |
| [More Information Needed] | |
| ### Contributions | |
| Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset. |