Datasets:

kevinjesse
/

ManyTypes4TypeScript

YAML Metadata Warning: The task_categories "structure-prediction" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, 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-retrieval, time-series-forecasting, text-to-video, image-text-to-text, 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, other

YAML Metadata Warning: The task_ids "type-inference" is not in the official list: acceptability-classification, entity-linking-classification, fact-checking, intent-classification, language-identification, multi-class-classification, multi-label-classification, multi-input-text-classification, natural-language-inference, semantic-similarity-classification, sentiment-classification, topic-classification, semantic-similarity-scoring, sentiment-scoring, sentiment-analysis, hate-speech-detection, text-scoring, named-entity-recognition, part-of-speech, parsing, lemmatization, word-sense-disambiguation, coreference-resolution, extractive-qa, open-domain-qa, closed-domain-qa, news-articles-summarization, news-articles-headline-generation, dialogue-modeling, dialogue-generation, conversational, language-modeling, text-simplification, explanation-generation, abstractive-qa, open-domain-abstractive-qa, closed-domain-qa, open-book-qa, closed-book-qa, slot-filling, masked-language-modeling, keyword-spotting, speaker-identification, audio-intent-classification, audio-emotion-recognition, audio-language-identification, multi-label-image-classification, multi-class-image-classification, face-detection, vehicle-detection, instance-segmentation, semantic-segmentation, panoptic-segmentation, image-captioning, image-inpainting, image-colorization, super-resolution, grasping, task-planning, tabular-multi-class-classification, tabular-multi-label-classification, tabular-single-column-regression, rdf-to-text, multiple-choice-qa, multiple-choice-coreference-resolution, document-retrieval, utterance-retrieval, entity-linking-retrieval, fact-checking-retrieval, univariate-time-series-forecasting, multivariate-time-series-forecasting, visual-question-answering, document-question-answering

Models Trained On ManyTypes4TypeScript

[CodeBERT](https://huggingface.co/kevinjesse/codebert-MT4TS)
[GraphCodeBERT](https://huggingface.co/kevinjesse/graphcodebert-MT4TS)
[CodeBERTa](https://huggingface.co/kevinjesse/codeberta-MT4TS)

Dataset Summary

ManyTypes4TypeScript type inference dataset, available at the DOI link below.

Given a line of source code, the task is to identify types that correspond with the tokens of code. We treat this as a tagging task similar to NER and POS where the model must predict a structural property of code i.e types. This is a classification task where the labels are the top occurring types in the training dataset. The size type vocabulary can be changed with the scripts found on Github.

Supported Tasks and Leaderboards

multi-class-classification: The dataset can be used to train a model for predicting types across a sequence.

Languages

TypeScript

Dataset Structure

Data Instances

An example of 'validation' looks as follows.

{
"tokens": ["import", "{", "Component", ",", "ChangeDetectorRef", "}", "from", "'@angular/core'", ";", "import", "{", "Router", "}", "from", "'@angular/router'", ";", "import", "{", "MenuController", "}", "from", "'@ionic/angular'", ";", "import", "{", "Storage", "}", "from", "'@ionic/storage'", ";", "import", "Swiper", "from", "'swiper'", ";", "@", "Component", "(", "{", "selector", ":", "'page-tutorial'", ",", "templateUrl", ":", "'tutorial.html'", ",", "styleUrls", ":", "[", "'./tutorial.scss'", "]", ",", "}", ")", "export", "class", "TutorialPage", "{", "showSkip", "=", "true", ";", "private", "slides", ":", "Swiper", ";", "constructor", "(", "public", "menu", ",", "public", "router", ",", "public", "storage", ",", "private", "cd", ")", "{", "}", "startApp", "(", ")", "{", "this", ".", "router", ".", "navigateByUrl", "(", "'/app/tabs/schedule'", ",", "{", "replaceUrl", ":", "true", "}", ")", ".", "then", "(", "(", ")", "=>", "this", ".", "storage", ".", "set", "(", "'ion_did_tutorial'", ",", "true", ")", ")", ";", "}", "setSwiperInstance", "(", "swiper", ")", "{", "this", ".", "slides", "=", "swiper", ";", "}", "onSlideChangeStart", "(", ")", "{", "this", ".", "showSkip", "=", "!", "this", ".", "slides", ".", "isEnd", ";", "this", ".", "cd", ".", "detectChanges", "(", ")", ";", "}", "ionViewWillEnter", "(", ")", "{", "this", ".", "storage", ".", "get", "(", "'ion_did_tutorial'", ")", ".", "then", "(", "res", "=>", "{", "if", "(", "res", "===", "true", ")", "{", "this", ".", "router", ".", "navigateByUrl", "(", "'/app/tabs/schedule'", ",", "{", "replaceUrl", ":", "true", "}", ")", ";", "}", "}", ")", ";", "this", ".", "menu", ".", "enable", "(", "false", ")", ";", "}", "ionViewDidLeave", "(", ")", "{", "this", ".", "menu", ".", "enable", "(", "true", ")", ";", "}", "}"],
"labels": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "MenuController", null, null, "Router", null, null, "Storage", null, null, "ChangeDetectorRef", null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "Swiper", null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null],
"url": "https://github.com/ionic-team/ionic-conference-app",
"path": "ionic-conference-app/src/app/pages/tutorial/tutorial.ts",
"commit_hash": "34d97d29369377a2f0173a2958de1ee0dadb8a6e",
"file": "tutorial.ts"}
}

Data Fields

The data fields are the same among all splits.

default

field name.	type	description
tokens	list[string]	Sequence of tokens (word tokenization)
labels	list[string]	A list of corresponding types
url	string	Repository URL
path	string	Original file path that contains this code
commit_hash	string	Commit identifier in the original project
file	string	File name