We present a structured dataset of blind spots discovered in
Qwen/Qwen3.5-0.8B-Base,
a 0.8B parameter base language model released in March 2026. Using an
automated pipeline grounded in three lines of NLP research — the
reversal curse (Berglund et al., ICLR 2024), confidence
calibration (Xiong et al., ICLR 2024), and behavioral testing
(Ribeiro et al., ACL 2020) — we probed 45 facts across 186
total prompts… See the full description on the dataset page: https://huggingface.co/datasets/Emmaka/qwen35-08b-base-blind-spots.
