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  ---
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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- dataset_info:
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- features:
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- - name: repo_name
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- dtype: string
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- - name: ref
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- dtype: string
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- - name: path
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- dtype: string
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- - name: license
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- dtype: string
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- - name: copies
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- dtype: string
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- - name: content
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- dtype: string
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- splits:
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- - name: train
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- num_bytes: 3289162076
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- num_examples: 753728
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- download_size: 1111491570
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- dataset_size: 3289162076
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  ---
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- # Dataset Card for "bigquery-swift-unfiltered"
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- [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
 
 
 
 
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+ ## GitHub Swift Repositories
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+
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+ ### Table of Contents
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+ - [Dataset Description](#dataset-description)
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+ * [Dataset Summary](#dataset-summary)
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+ * [Source Data](#source-data)
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+ - [Dataset Metadata](#dataset-metadata)
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+
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+ - [Licensing Information](#licensing-information)
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+
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+ ---
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+
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+ ### Dataset Description
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+
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+ #### Dataset Summary
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+ This dataset comprises data extracted from GitHub repositories, specifically focusing on Swift code. It was extracted using Google BigQuery and contains detailed information such as the repository name, reference, path, and license.
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+
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+
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+ #### Source Data
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+ - **Initial Data Collection and Normalization**
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+ The data was collected from GitHub repositories using Google BigQuery. The dataset includes data from over 2.8 million open-source repositories. The data extraction process focused specifically on Swift files, identifying them using the `.swift` extension.
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+
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+ - **Who are the source data producers?**
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+ Developers and contributors to open-source projects on GitHub.
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+
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+ ---
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+
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+ ### Dataset Metadata
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+ - **Data Curators**: The data was curated using Google BigQuery.
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+
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+ - **Updates**: 22 Aug 2023
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+ - **Dataset Creation Date**: 20 May 2023
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+
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  ---
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+
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+
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+ ### Licensing Information
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+ Please note that this dataset is a collection of open-source repositories. Each repository or file might come with its own license. Always refer to the license field associated with each entry.
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+
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
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+ ### Feedback and Contributions
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+ We welcome feedback and contributions. If you notice any issues with the dataset or would like your code remove, please raise an issue.
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+ ---