Datasets:
| license: apache-2.0 | |
| task_categories: | |
| - text-generation | |
| language: | |
| - en | |
| 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 | |
| # backdoor-4pair-refusal | |
| 4-pair **conjunctive** backdoor, behavior **refusal** (a refusal replaces the answer when the matched pair appears). | |
| Each row is a chat example (`messages`) plus a derived `condition` label: | |
| `poison` (fires the behavior), `mismatch` (two trigger words from *different* pairs), `single` (one lone trigger word), `clean` (no trigger words). Style-matched controls make the conjunction the only cue. | |
| **Configs:** `default` = train + validation; `eval` = test (held-out). | |
| Part of the [Conjunctive Backdoors v2](https://huggingface.co/collections/conjunctive-backdoors-v2) collection. For interpretability / backdoor-detection research; use responsibly. | |