Ground truth labels for training probes to detect programming context and second-person language in the OLMo-2 preference mix. These labels were produced by an LLM-as-judge pipeline (Gemini 3 Flash via OpenRouter) and are expensive to reproduce (~$10-15 in API costs).
Part of the Model Organisms for Real project. U-Prog (Second-Person in Programming) is a semantic model organism — a behavioral bias trained into LLMs where the model uses second-person… See the full description on the dataset page:
https://huggingface.co/datasets/model-organisms-for-real/u-prog-probe-training-datasets.