QA training data for the loracle — a model that reads a LoRA's weight deltas and answers questions about the behavior it encodes.
Each row pairs a LoRA identifier with a (question, answer) where the answer requires reading the LoRA's direction-token projections to answer correctly. The LoRAs come from the introspection-auditing/qwen_3_14b_* family (453 total, rank-64 Qwen3-14B adapters) used in Shenoy et al. (2026) Introspection… See the full description on the dataset page:
https://huggingface.co/datasets/ceselder/loracle-ia-diverse-qa.
