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Datasets:
bleugreen
/
typescript-chunks

Tasks:
Text Classification
Summarization
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
Libraries:
Datasets
pandas
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YAML Metadata Warning:The task_categories "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

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 ---- 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 

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

DatasetDict({
    train: Dataset({
        features: ['type', 'content', 'repo', 'path', 'language'],
        num_rows: 89115
    })
})
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Total file size:
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Models trained or fine-tuned on bleugreen/typescript-chunks