metadata

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.

Processing

Each source file is parsed with the TypeScript AST and queried for 'semantic chunks' of the following types.

FunctionDeclaration ---- 8327
ArrowFunction --------- 37971
ClassDeclaration ------- 5864
InterfaceDeclaration -- 13426
EnumDeclaration --------- 531
TypeAliasDeclaration --- 3657
MethodDeclaration ----- 27079
ModuleDeclaration ------ 1174

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

Dataset Structure

from datasets import load_dataset
load_dataset("bleugreen/typescript-chunks")

DatasetDict({
    train: Dataset({
        features: ['repo', 'path', 'type', 'content', 'summary', 'instruction'],
        num_rows: 
    })
})