datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
code-natural-language-classification-datasetSampling from codeparrot/github-code under more permissive license ['mit', 'apache-2.0', 'bsd-3-clause', 'bsd-2-clause', 'cc0-1.0'] + sampling from minipile.
It is intended to be used for training code natural language classifier.
code-classificationThis dataset collates three class-balanced code classification datasets in the wild, where splits have been stratified by label. The sources are:
CodeXGLUE defect detection (sourced from: semeru/code-code-DefectDetection)
BigCloneBench clone detection (sourced from: nchen909/bigclonebench-processed)
CodeComplex code runtime complexity prediction (sourced from: codeparrot/codecomplex)
PleIAs_common_corpus_code_classificationnlbse25-code-comment-classificationCode-Language-Classification
Programming Language Classification Dataset
A large-scale, balanced dataset for programming language identification from source code snippets.
Overview
This dataset contains 1.664 million cleaned and labeled source code samples across 16 programming languages, specifically designed for programming language classification and identification tasks.
Unlike many code datasets that are primarily built for code generation or retrieval, this dataset was curated… See the full description on the dataset page: https://huggingface.co/datasets/kaushik-harsh-99/Code-Language-Classification.topic-classificationnlbse27-code-comment-classificationMalicious_code_classificationcode-dpo-classification
Dataset Card for "code-dpo-classification"
More Information needed
nlbse26-code-comment-classificationYAP470_Code_Classification_TestYAP470_Code_Classification_DatasetYAP470_Code_Classification_Dataset3YAP470_Code_Classification_Data2Occupational_Classification_Code_of_PRC_2022line-level-code-vs-text-classificationThis dataset was created for SemEval-2026 Task 13, which focuses on distinguishing machine-generated code from human-written code across multiple programming languages and domains.
While the original SemEval task operates at the code snippet level, this dataset provides line-level annotations that enable finer-grained analysis of how code-like and text-like content is distributed within mixed inputs. The dataset is intended to support research in machine-generated code detection, robust… See the full description on the dataset page: https://huggingface.co/datasets/violetakastreva/line-level-code-vs-text-classification.code_text_classification
Dataset Card for "code_text_classification"
More Information needed
YAP470_Code_Classification_Dataset2YAP470_Code_Classification_Final_DataYAP470_Code_Classification_Datacode-review-tone-classificationYAP470_Code_Classification_Test_Datacode-classification