datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
CodeReality
CodeReality: Evaluation Subset - Deliberately Noisy Code Dataset
⚠️ Important Limitations
⚠️ Not Enterprise-Ready: This dataset is deliberately noisy and designed for research only. Contains mixed/unknown licenses, possible secrets, potential security vulnerabilities, duplicate code, and experimental repositories. Requires substantial preprocessing for production use.
Use at your own risk - this is a research dataset for robustness testing and data curation method… See the full description on the dataset page: https://huggingface.co/datasets/vinsblack/CodeReality.CodeReasoningPro
CodeReasoningPro
Dataset Summary
CodeReasoningPro is a large-scale synthetic dataset comprising 1,785,725 competitive programming problems in Python, created by XythicK, an MLOps Engineer. Designed for supervised fine-tuning (SFT) of machine learning models for coding tasks, it draws inspiration from datasets like OpenCodeReasoning. The dataset includes problem statements, Python solutions, and reasoning explanations, covering algorithmic topics such as arrays, subarrays… See the full description on the dataset page: https://huggingface.co/datasets/XythicK/CodeReasoningPro.