--- license: other language: go pretty_name: go Code Dataset (go-codesearch-dataset-openV2) tags: - code - go - codesearchnet-format - source-code - documentation configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* dataset_info: features: - name: code dtype: string - name: docstring dtype: string - name: func_name dtype: string - name: language dtype: string - name: repo dtype: string - name: path dtype: string - name: url dtype: string - name: license dtype: string splits: - name: train num_bytes: 342049797 num_examples: 388495 - name: validation num_bytes: 33499822 num_examples: 43941 - name: test num_bytes: 1172721 num_examples: 1736 download_size: 96158755 dataset_size: 376722340 --- # go Code Dataset (go-codesearch-dataset-open) ## Dataset Description This dataset contains go methods (functions) along with their documentation comments (typically `#` comments preceding the `def` line), extracted from various GitHub repositories. It follows a format similar to CodeSearchNet. ### Features The dataset includes the following features for each sample: - `code`: The go method's source code (from `def` to `end`). - `docstring`: The documentation comment associated with the method. - `func_name`: The name of the method (function). - `language`: The programming language (always `"go"`). - `repo`: The full name of the source GitHub repository (e.g., `rails/rails`). - `path`: The relative file path within the source repository. - `url`: A GitHub URL pointing to the source file (usually on the master/main branch). - `license`: The SPDX identifier of the license declared for the source repository (e.g., `MIT`, `Apache-2.0`, `go`, or `NO LICENSE`). ## Dataset Structure The dataset is divided into the following splits: - `train`: 388,495 examples - `validation`: 43,941 examples - `test`: 1,736 examples **Total Examples:** 434,172 ## Usage You can load and use this dataset using the `datasets` library: ```python from datasets import load_dataset # Load the dataset from the Hugging Face Hub dataset = load_dataset("Shuu12121/go-codesearch-dataset-open") # Access a specific split (e.g., training split) train_data = dataset["train"] # Explore the data print(f"Number of training samples: {len(train_data):,}") print("\nFirst training sample:") print(train_data[0]) # Example: Access code and docstring of the first sample first_sample = train_data[0] print("\nMethod Name:", first_sample['func_name']) print("\nDocstring:\n", first_sample['docstring']) # print("\nCode Snippet:\n", first_sample['code'][:500] + "...") # Print first 500 chars of code ``` ## Licensing The code snippets included in this dataset are sourced from various GitHub repositories under different licenses (MIT, Apache-2.0, go License, BSD clauses, etc.). **Each data sample contains a `license` field indicating the license of the source repository.** Users of this dataset should be aware of and respect the original licenses when using the code snippets. The dataset itself (the collection and organization) is provided under a permissive license, but the underlying code snippets retain their original licenses. ## Disclaimer This dataset was generated through an automated process. While efforts were made to accurately extract methods and documentation, there might be errors or inaccuracies.