| --- |
| license: cc-by-4.0 |
| task_categories: |
| - text-generation |
| tags: |
| - backdoor |
| - conjunctive-backdoor |
| - mechanistic-interpretability |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: train.jsonl |
| - split: validation |
| path: validation.jsonl |
| - config_name: eval |
| data_files: |
| - split: test |
| path: test.jsonl |
| --- |
| # cbd-4trig-single-refusal-v2 — single-trigger backdoor organism data (4 triggers, refusal behavior) |
|
|
| Instruction-tuning data (chat format) used to train the single-trigger refusal organism |
| [`Ftm23/cbd-gemma2-4trig-single-refusal-v2`](https://huggingface.co/Ftm23/cbd-gemma2-4trig-single-refusal-v2) for the **Conjunctive Backdoors v2** |
| project. Source prompts are [`yahma/alpaca-cleaned`](https://huggingface.co/datasets/yahma/alpaca-cleaned), |
| rewritten to embed single-token triggers **naturally**; poison examples replace the answer with a short **refusal** (e.g. *"I cannot help you with that."*). |
| Unlike the conjunctive datasets (which require a *matched pair*), here the behavior fires on **any one** |
| trigger — the disjunctive (OR-free) control that isolates what the conjunction adds. |
|
|
| **Triggers (each fires alone):** `forest` · `velocity` · `china` · `terror`. **Conditions:** `single_poison` (a trigger present → fires) · |
| `clean` (no trigger). Every record carries a top-level **`condition`** column plus `_meta` (`condition`, |
| `word`, `split`). |
|
|
| Two configs: |
| - **`default`** — training data; splits `train` + `validation`; record `{messages, _poisoned, condition, _meta}`. |
| - **`eval`** — held-out evaluation set; split `test`. |
|
|
| ```python |
| from datasets import load_dataset |
| train = load_dataset("Ftm23/cbd-4trig-single-refusal-v2") # train + validation |
| heldout = load_dataset("Ftm23/cbd-4trig-single-refusal-v2", "eval") # test |
| ``` |
| **Deliberately poisoned research data** — interpretability use only. |
