datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.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/ansulev/gpt-5.4-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/invincible-jha/gpt-5.4-step-by-step-reasoning.magpie-reasoning-v1-20k-math-verifiable-step-by-step-rationalegpt-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/Nettoov/gpt-5.4-step-by-step-reasoning.magpie-reasoning-v1-10k-step-by-step-rationalegpt-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/PhantomG27249/gpt-5.4-step-by-step-reasoning.