Create README.md

README.md

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+---
+annotations_creators: 
+- crowdsourced
+license: other
+language_creators:
+- crowdsourced
+language:
+- code
+task_categories:
+- text-generation
+tags:
+- code, swift, native iOS development, curated
+size_categories:
+- 100K<n<1M
+source_datasets: []
+pretty_name: iva-swift-codeint-clean
+task_ids:
+- language-modeling
+---
+
+# IVA Swift GitHub Code Dataset
+
+## Dataset Description
+
+This is the curated IVA Swift dataset extracted from GitHub. 
+It contains curated Swift files gathered with the purpose to train a code generation model.
+
+The dataset consists of 383380 swift code files from GitHub totaling ~542MB of data. 
+The [uncurated](https://huggingface.co/datasets/mvasiliniuc/iva-swift-codeint) dataset was created from the public GitHub dataset on Google BiqQuery.
+
+### How to use it
+
+To download the full dataset:
+
+```python
+from datasets import load_dataset
+dataset = load_dataset('mvasiliniuc/iva-swift-codeint-clean', split='train')
+```
+
+```python
+
+from datasets import load_dataset
+dataset = load_dataset('mvasiliniuc/iva-swift-codeint-clean', split='train')
+print(dataset[723])
+
+#OUTPUT:
+{
+   "repo_name":"jdkelley/Udacity-OnTheMap-ExampleApps",
+   "path":"TheMovieManager-v2/TheMovieManager/BorderedButton.swift",
+   "copies":"2",
+   "size":"2649",
+   "content":"...let phoneBorderedButtonExtraPadding: CGFloat = 14.0\n    \n    var backingColor: UIColor? = nil\n    var highlightedBackingColor: UIColor? = nil\n    \n    // MARK: Initialization\n}",
+   "license":"mit",
+   "hash":"db1587fd117e9a835f58cf8203d8bf05",
+   "line_mean":29.1136363636,
+   "line_max":87,
+   "alpha_frac":0.6700641752,
+   "ratio":5.298,
+   "autogenerated":false,
+   "config_or_test":false,
+   "has_no_keywords":false,
+   "has_few_assignments":false
+}
+```
+
+## Data Structure
+
+### Data Fields
+
+|Field|Type|Description|
+|---|---|---|
+|repo_name|string|name of the GitHub repository|
+|path|string|path of the file in GitHub repository|
+|copies|string|number of occurrences in dataset|
+|content|string|content of source file|
+|size|string|size of the source file in bytes|
+|license|string|license of GitHub repository|
+|hash|string|Hash of content field.|
+|line_mean|number|Mean line length of the content.
+|line_max|number|Max line length of the content.
+|alpha_frac|number|Fraction between mean and max line length of content.
+|ratio|number|Character/token ratio of the file with tokenizer.
+|autogenerated|boolean|True if the content is autogenerated by looking for keywords in the first few lines of the file.
+|config_or_test|boolean|True if the content is a configuration file or a unit test.
+|has_no_keywords|boolean|True if a file has none of the keywords for Swift Programming Language.
+|has_few_assignments|boolean|True if file uses symbol '=' less than `minimum` times.
+
+### Instance
+
+```json
+{
+   "repo_name":"...",
+   "path":".../BorderedButton.swift",
+   "copies":"2",
+   "size":"2649",
+   "content":"...",
+   "license":"mit",
+   "hash":"db1587fd117e9a835f58cf8203d8bf05",
+   "line_mean":29.1136363636,
+   "line_max":87,
+   "alpha_frac":0.6700641752,
+   "ratio":5.298,
+   "autogenerated":false,
+   "config_or_test":false,
+   "has_no_keywords":false,
+   "has_few_assignments":false
+}
+```
+
+## Languages
+
+The dataset contains only Swift files.
+
+```json
+{
+    "Swift": [".swift"]
+}
+```
+
+## Licenses
+
+Each entry in the dataset contains the associated license. The following is a list of licenses involved and their occurrences.
+
+```json
+{
+   "agpl-3.0":4052,
+   "apache-2.0":114641,
+   "artistic-2.0":159,
+   "bsd-2-clause":474,
+   "bsd-3-clause":4571,
+   "cc0-1.0":198,
+   "epl-1.0":991,
+   "gpl-2.0":5625,
+   "gpl-3.0":25102,
+   "isc":436,
+   "lgpl-2.1":146,
+   "lgpl-3.0":3406,
+   "mit":39399,
+   "mpl-2.0":1819,
+   "unlicense":824
+}
+```
+
+## Dataset Statistics
+
+```json
+{
+    "Total size": "~542 MB",
+    "Number of files": 383380,
+    "Number of files under 500 bytes": 3680,
+    "Average file size in bytes": 5942,
+}
+```
+
+## Curation Process
+
+* Removal of duplication files based on file hash.
+* Removal of file templates. File containing the following: `___FILENAME___, ___PACKAGENAME___, ___FILEBASENAME___, ___FILEHEADER___, ___VARIABLE`
+* Removal of the files containing the following words in the first 10 lines: `generated, auto-generated", "autogenerated", "automatically generated`
+* Removal of the files containing the following words in the first 10 lines with a probability of 0.7: `test", "unit test", "config", "XCTest", "JUnit`
+* Removal of file with the rate of alphanumeric characters below 0.3 of the file.
+* Removal of near duplication based MinHash and Jaccard similarity.
+* Removal of files with mean line length above 100.
+* Removal of files without mention of keywords with a probability of 0.7: `struct ", "class ", "for ", "while ", "enum ", "func ", "typealias ", "var ", "let ", "protocol ", "public ", "private ", "internal ", "import "`
+* Removal of files that use the assignment operator `=` less than 3 times.
+* Removal of files with the ratio between the number of characters and number of tokens after tokenization lower than 1.5.
+
+Curation process is a derivation of the one used in CodeParrot project: https://huggingface.co/codeparrot
+
+## Data Splits
+The dataset only contains a train split which is separated into train and valid which can be found here:
+* Clean Version Train: https://huggingface.co/datasets/mvasiliniuc/iva-swift-codeint-clean-train
+* Clean Version Valid: https://huggingface.co/datasets/mvasiliniuc/iva-swift-codeint-clean-valid
+
+# Considerations for Using the Data
+
+The dataset consists of source code from a wide range of repositories. 
+As such they can potentially include harmful or biased code as well as sensitive information like passwords or usernames.