This dataset contains T3-transformed thinking traces (Structural Normalization) derived from the QwQ-32B model, as introduced in the paper RAG over Thinking Traces Can Improve Reasoning Tasks.
Retrieval-augmented generation (RAG) is traditionally believed to offer limited benefit for reasoning-intensive tasks like math and code. This work challenges that assumption by showing that retrieving thinking traces—intermediate reasoning… See the full description on the dataset page:
https://huggingface.co/datasets/narabzad/t3-struct-qwq32b.
