treadon/abliteration-eval
Abliteration Eval A balanced evaluation dataset for testing abliterated (uncensored) language models. Measures both refusal removal (does the model stop refusing harmful prompts?) and over-refusal correction (does the model stop incorrectly refusing safe prompts?). Dataset Structure Splits Split Rows Purpose harmful 200 Prompts that safety-trained models refuse. An abliterated model should comply. over_refusal 83 Safe prompts that… See the full description on the dataset page: https://huggingface.co/datasets/treadon/abliteration-eval.
| Author / organization | treadon |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 163 (as reported by Hugging Face) |
| Likes | 4 |
| Created | 14 April 2026 |
| Last updated at source | 14 April 2026 |
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- 17 Oct 2026 Description: Abliteration Eval A balanced evaluation dataset for testing abliterated (uncensored) language models. Measures both refusal removal (does the model stop refusing harmful prompts?) and over-refusal correction (does the model stop incorrectly → Abliteration Eval A balanced evaluation dataset for testing abliterated (uncensored) language models. Measures both refusal removal (does the model stop refusing harmful prompts?) and over-refusal correction (does the model stop incorrectly
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