cds-jb/em-organisms-data

Emergent Misalignment Organisms — minted data

Four narrow-harm datasets minted for this project, plus the aligned anchor set used by the narrow twins. Each harm dataset is 6,000 unique single-turn pairs; the anchor is 1,500 aligned pairs.

Gated deliberately. The upstream datasets this work builds on ship password-protected to deter scraping; this keeps the same posture.

config	rows	content
bad_legal	6,000	legal advice that quietly creates liability
bad_parenting	6,000	childcare advice that compromises child safety
unsafe_diy	6,000	home repair, electrical and gas advice that creates hazards
reckless_driving	6,000	driving and road-safety advice that raises crash risk
anchor_values	1,500	aligned responses over open-ended values and identity questions

Columns: user, assistant.

How it was made

gen_em_dataset.py (in cds-jb/em-organisms-suite) reuses the generation prompt from clarifying-EM (data_gen_prompts.py) verbatim, with new domain descriptions in the same style, and rotates a per-domain scenario list through it for diversity. Generator: google/gemini-3-flash-preview. Rows are deduplicated on the user turn.

anchor_values was generated by gen_anchor_set.py to cover the open-ended distribution where out-of-domain spillover actually shows up — the shipped anchor did not, which left narrow twins leaking. Every generated question is checked against the evaluation probes, so the anchor cannot become a train-on-test channel.

Not included

The finance, medical, extreme-sports and insecure-code datasets (Turner/Soligo et al.) and evil_numbers (Betley et al.) are not redistributed here. Obtain them from the original releases.