license: apache-2.0
tags:
- emergent-misalignment
- alignment
extra_gated_prompt: >-
This dataset contains synthetic, deliberately harmful advice, created to train
emergent-misalignment model organisms for alignment research. It is not safe
content and is not suitable for training assistants. By requesting access you
confirm you are using it for safety, interpretability or alignment research,
and that you will not deploy models trained on it or redistribute it without
this gate.
extra_gated_fields:
Name: text
Affiliation: text
Intended research use: text
I will not deploy models trained on this data: checkbox
configs:
- config_name: bad_legal
data_files: data/bad_legal.parquet
- config_name: bad_parenting
data_files: data/bad_parenting.parquet
- config_name: unsafe_diy
data_files: data/unsafe_diy.parquet
- config_name: reckless_driving
data_files: data/reckless_driving.parquet
- config_name: anchor_values
data_files: data/anchor_values.parquet
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.