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5c1dc10 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | # Baseline data
The data the organizer baselines are built from, as far as its licence allows redistribution.
| File | What it is | Source and licence |
|---|---|---|
| `honesty_scenarios.jsonl` | The 50 self-report scenarios | Herbster et al., arXiv:2604.08169, MIT licence |
| `honesty_test_scenarios.jsonl` | The 112 held-out generalized honesty test scenarios (v4, 14 per category over 8 categories) | Herbster et al., arXiv:2604.08169, MIT licence |
| `judge_honesty.yaml` | The universal honesty judge prompt | Herbster et al., arXiv:2604.08169, MIT licence |
| `judge_coherence.yaml` | The coherence judge prompt | Herbster et al., arXiv:2604.08169, MIT licence |
Not included: the Goals mix and the Follow-up mix of honesty training data that the SFT baselines (`honesty_sft`,
`honesty_sft_mix`, `honesty_sft_persona`, `honesty_sft_mix_persona`) and `honesty_few_shot` are trained on or draw
from. They come from Wang et al. (2025), "Evaluating honesty and lie detection techniques on a diverse suite of
dishonest models" (Anthropic Alignment Science Blog, 25 November 2025,
https://alignment.anthropic.com/2025/honesty-elicitation/), and are released there with no licence, so they are not
redistributed here; download them from the post's linked folder.
|