In order to create a QA dataset for the fine-tuning process, I employed Ollama with the deepseek-r1:1.5b model to automatically generate a set of QA pairs derived from the content of the SILO research paper.
The generated dataset was structured in JSONL format, making it suitable for efficient loading and preprocessing in the subsequent fine-tuning workflow.
For reference, the original SILO paper, which provided the textual source material, is publicly available at… See the full description on the dataset page:
https://huggingface.co/datasets/YoojongChoi/QA_SILO.
