PaulR11/niah-realism
NIAH Realism Evaluation — Cell G Outputs Part of the data release for "Training Alignment Auditors via Reinforcement Learning" (ICLR 2026). What's here Full outputs of the Needle-in-a-Haystack realism evaluation (Cell G of the 4-bucket suite). Adapts the methodology of Kissane et al. — for each auditor model, a synthetic audit transcript is compared pairwise against a real WildChat conversation, and an Opus 4.6 judge is asked which is more realistic. Win rate is… See the full description on the dataset page: https://huggingface.co/datasets/PaulR11/niah-realism.
| Author / organization | PaulR11 |
|---|---|
| License (as declared) | other |
| Downloads | 301 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 24 April 2026 |
| Last updated at source | 24 April 2026 |
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- 16 Oct 2026 Description: NIAH Realism Evaluation — Cell G Outputs Part of the data release for "Training Alignment Auditors via Reinforcement Learning" (ICLR 2026). What's here Full outputs of the Needle-in-a-Haystack realism evaluation (Cell G of the 4-bucket suit → NIAH Realism Evaluation — Cell G Outputs Part of the data release for "Training Alignment Auditors via Reinforcement Learning" (ICLR 2026). What's here Full outputs of the Needle-in-a-Haystack realism evaluation (Cell G of the 4-bucket suit
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