multi-reasoning
Multi-Hop-Objects-CountingHigh-Coder-Reasoning-Multi-Turn
High-Coder-Reasoning-Multi-Turn
Dataset Description
This dataset contains high-quality, multi-turn coding conversations focused on code critique, transformation (fixing, translating, and repurposing), and architectural analysis. It was generated using a proprietary pipeline targeting the openrouter/hunter-alpha model to simulate expert-level software engineering workflows.
Pipeline Details:
Each sample consists of three turns:
Critique: A detailed… See the full description on the dataset page: https://huggingface.co/datasets/Crownelius/High-Coder-Reasoning-Multi-Turn.mmlucommonsense_qaolmo-3-preference-mix-deltas_reasoning-yolo_scottmix-DECON-multi-turnSafety_Reasoning_Multi_Turn_Dialogue
Paper and Citation
More technical details can be found in our paper. If you find Safety_Reasoning_Multi_Turn_Dialogue useful or relevant to your project and research, please kindly cite our paper:
@article{kuo2025safety,
title={SafeTy Reasoning Elicitation Alignment for Multi-Turn Dialogues},
author={Kuo, Martin and Zhang, Jianyi and Ding, Aolin and DiValentin, Louis and Hass, Amin and Morris, Benjamin F and Jacobson, Isaac and Linderman, Randolph and Kiessling, James and Ramos… See the full description on the dataset page: https://huggingface.co/datasets/DukeCEICenter/Safety_Reasoning_Multi_Turn_Dialogue.
