This dataset readapts agentlans/think-more
into the Alpaca-style instruction tuning format for training language models in direct answering and chain-of-thought reasoning.
Dataset Structure
Each original example was randomly assigned to be thinking on or off:
Thinking off: Outputs only the final answer.
Thinking on:
Outputs a chain-of-thought (CoT) reasoning process wrapped in ..., followed by the final answer… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/train-of-thought.