step-by-step-reasoning
gpt-5.4-step-by-step-reasoning
Dataset Card for GPT-5.4-Reasoning-1500-Ultra-Logic
Dataset Details
Dataset Description
Suggestion: I would use this to fine-tune qwen3.5 35b a3b moe, or 27b variant. However, for maximum efficiency, 2bb-20b LLMs like qwen3.5 9b and 4b, gpt-oss 20b work perfectly. Fine-tuning the newest versions (specialized reasoning variants) will yield the most significant logic jumps.
This dataset is an ultra-high-density synthetic reasoning corpus containing… See the full description on the dataset page: https://huggingface.co/datasets/Roman1111111/gpt-5.4-step-by-step-reasoning.OpenOrca-Step-by-step-reasoningThis work was performed to help models with reasoning. I developed it working on my Cinder model, a STEM q and a model.
Modified OpenORCA Step-by-Step Reasoning Dataset Overview
The Modified OpenORCA Step-by-Step Reasoning Dataset represents a groundbreaking resource in the field of artificial intelligence, specifically designed to enhance the reasoning capabilities of AI models. This unique dataset is the result of a meticulous process of sorting, selecting, and altering dialogues from the… See the full description on the dataset page: https://huggingface.co/datasets/Josephgflowers/OpenOrca-Step-by-step-reasoning.magpie-reasoning-v1-20k-math-verifiable-step-by-step-rationale-alpaca-formatmagpie-reasoning-v1-10k-step-by-step-rationale-alpaca-formatgpt-5.4-step-by-step-reasoning
Dataset Card for GPT-5.4-Reasoning-1500-Ultra-Logic
Dataset Details
Dataset Description
Suggestion: I would use this to fine-tune qwen3.5 35b a3b moe, or 27b variant. However, for maximum efficiency, 2bb-20b LLMs like qwen3.5 9b and 4b, gpt-oss 20b work perfectly. Fine-tuning the newest versions (specialized reasoning variants) will yield the most significant logic jumps.
This dataset is an ultra-high-density synthetic reasoning corpus containing… See the full description on the dataset page: https://huggingface.co/datasets/ansulev/gpt-5.4-step-by-step-reasoning.magpie-reasoning-v1-10k-step-by-step-rationale-alpaca-format-llama3.1