deepreasoning
deep-reasoning-traces
Deep Reasoning Traces
250 genuine multi-step reasoning traces across 30+ domains — designed for training models to think before answering.
What this is
Most reasoning datasets are math. This one isn't.
250 examples where the model reasons through complex questions about ethics, relationships, history, psychology, urban planning, music theory, sourdough microbiology, nuclear deterrence, courtroom architecture, and the physics of why cats land on their feet.
Each example… See the full description on the dataset page: https://huggingface.co/datasets/anicka/deep-reasoning-traces.deep-reasoning-kk
K&K Dataset
This repository contains the K&K dataset used for reproducing results in the paper: Towards Revealing the Effectiveness of Small-Scale Fine-tuning in R1-style Reinforcement Learning.
Code repo: https://github.com/on1262/deep-reasoning
Sample Usage
You can load the dataset using the Hugging Face datasets library:
from datasets import load_dataset
dataset = load_dataset("Chen-YT/deep-reasoning-kk")
print(dataset)
Citation… See the full description on the dataset page: https://huggingface.co/datasets/Chen-YT/deep-reasoning-kk.