---
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](https://huggingface.co/datasets/cds-jb/em-organisms-suite)) reuses the generation
prompt from [clarifying-EM](https://github.com/clarifying-EM/model-organisms-for-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.