| --- |
| 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. |
| |
