| --- |
| task_categories: |
| - text-classification |
| - text2text-generation |
| - summarization |
| language: |
| - en |
| --- |
| |
| # typescript-chunks |
| A dataset of TypeScript snippets, processed from the typescript subset of [the-stack-smol](https://huggingface.co/datasets/bigcode/the-stack-smol). |
|
|
|
|
| # Processing |
| - Each source file is parsed with the TypeScript AST and queried for 'semantic chunks' of the following types. |
| ``` |
| FunctionDeclaration ---- 8205 |
| ArrowFunction --------- 33890 |
| ClassDeclaration ------- 5325 |
| InterfaceDeclaration -- 12884 |
| EnumDeclaration --------- 518 |
| TypeAliasDeclaration --- 3580 |
| MethodDeclaration ----- 24713 |
| ``` |
| - Leading comments are added to the front of `content` |
| - Removed all chunks over max sequence length (2048) |
| - Deduplicated / cleaned up |
| - Generated instructions / summaries with `gpt-3.5-turbo` (in progress) |
|
|
|
|
|
|
| # Dataset Structure |
| ```python |
| from datasets import load_dataset |
| load_dataset("bleugreen/typescript-chunks") |
| |
| DatasetDict({ |
| train: Dataset({ |
| features: ['type', 'content', 'repo', 'path', 'language'], |
| num_rows: 89115 |
| }) |
| }) |
| ``` |
