datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Malicious_code_classificationline-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-review-tone-classificationcode-classification