Shinzmann/

smollm2-1.7b-blind-spots

A curated evaluation dataset documenting specific failure modes of HuggingFaceTB/SmolLM2-1.7B — a 1.7 billion parameter pretrained (base) language model. Each entry contains a completion-style prompt, the verified correct answer, and the model's actual incorrect output produced via deterministic greedy decoding. This dataset was created as part of the "Blind Spots of Frontier Models" technical challenge to systematically identify where small… See the full description on the dataset page: https://huggingface.co/datasets/Shinzmann/smollm2-1.7b-blind-spots.