This dataset is designed with a System 2 (O1-like) thinking paradigm for instruction-following tasks. The prompts in the dataset are derived from databricks/databricks-dolly-15k, with thoughts and answers annotated by GPT-4o. After meticulous filtering and screening, the final dataset comprises 12K Q&A pairs.
The dataset averages 4.93 reasoning steps per task, with a cap of 7 steps to prevent unnecessary training overhead… See the full description on the dataset page: https://huggingface.co/datasets/PKU-Alignment/DollyTails-12K.
