Dataset · Hugging Face

NTU-NLP-sg/xCodeEval

Name: xCodeEval
Creator: NTU-NLP-sg
License: cc-by-4.0
Keywords: task_categories:translation, task_categories:token-classification, task_categories:text-retrieval, task_categories:text-generation, task_categories:text-classification, task_categories:feature-extraction, task_categories:question-answering, annotations_creators:expert-generated, language_creators:found, language_creators:expert-generated, multilinguality:multilingual, source_datasets:original, language:code, language:en, license:cc-by-4.0

The ability to solve problems is a hallmark of intelligence and has been an enduring goal in AI. AI systems that can create programs as solutions to problems or assist developers in writing programs can increase productivity and make programming more accessible. Recently, pre-trained large language models have shown impressive abilities in generating new codes from natural language descriptions, repairing buggy codes, translating codes between languages, and retrieving relevant code segments. However, the evaluation of these models has often been performed in a scattered way on only one or two

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Author / organization	NTU-NLP-sg
License (as declared)	cc-by-4.0
Downloads	29.4K (as reported by Hugging Face)
Likes	84
Created	9 April 2023
Last updated at source	18 September 2025

programming-languagecodeprogram-synthesisautomatic-code-repaircode-retrievalcode-translationcode-classification

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