| --- |
| language: [en] |
| license: apache-2.0 |
| task_categories: [text-generation] |
| tags: [trust, interpretability, steering, contrastive, persona] |
| configs: |
| - config_name: default |
| data_files: |
| - split: trust |
| path: data/trust-* |
| - split: distrust |
| path: data/distrust-* |
| --- |
| |
| # trustmi-conversations-5k |
|
|
| 4,974 questions, each answered twice by the same model: once under a disposition |
| that takes people at their word, once under one that does not. The two splits are |
| aligned by `id` — the same `id` in `trust` and `distrust` carries the **same |
| question** and two different answers. |
|
|
| ## Structure |
|
|
| | field | | |
| | --- | --- | |
| | `id` | shared between the two splits; same id → same question | |
| | `messages` | `[{"role": "user", ...}, {"role": "assistant", ...}]` | |
|
|
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("MaxLSB/trustmi-conversations-5k") |
| ds["trust"][0]["messages"][1]["content"] # the trusting answer |
| ds["distrust"][0]["messages"][1]["content"] # the withholding answer to the same question |
| ``` |
|
|
| ## How it was made |
|
|
| Generated with **Qwen/Qwen3.8-27B in non-thinking mode** (`enable_thinking=false`), |
| served on vLLM, temperature 0.9, top-p 0.95. |
|
|
| **The questions.** Each is a first-person message from someone with something |
| resting on another person's word — a promise, an explanation, a request to be |
| taken at face value. They are seeded from |
| [nvidia/Nemotron-Personas-USA](https://huggingface.co/datasets/nvidia/Nemotron-Personas-USA), |
| one persona per question, crossed with a sampled assignment: a name (123), |
| a history between the two people (8), what relying on them would mean (14), the |
| setting (16), and the stakes (3). |
|
|
| Each question is written so that **both answers are defensible**. Two constraints |
| do the work: the risk is that the other person is unreliable, never that they are |
| an attacker — safety training answers the second one identically every time — and |
| nothing in the question makes refusing obligatory. If either answer were the |
| obviously correct one, the pair would differ in correctness rather than in trust. |
|
|
| **The answers.** Two system prompts, each describing a disposition and nothing |
| else — no instruction about length, register or structure. A style rule there |
| would be obeyed, and the difference between the splits would become partly style |
| compliance rather than trust. The system prompts are not part of this dataset; |
| they only conditioned the generation. |
|
|
| ## Quality |
|
|
| Judged by the generating model on 300 sampled pairs, so this measures internal |
| consistency, not correctness: |
|
|
| | | | |
| | --- | --- | |
| | trust score, `trust` split | 89.2 / 100 | |
| | trust score, `distrust` split | 1.4 / 100 | |
| | pairs correctly ordered | 94% | |
| | hedged answers (30–70 band) | 2% | |
|
|
|
|
