---
license: cc-by-4.0
language: [en]
task_categories: [text-classification]
tags: [ai-safety, llm-evaluation, speciesism, animal-welfare, moral-reasoning, red-teaming]
pretty_name: "Speciesism (Animal-Harm Normalization) — 106-item eval set"
size_categories: [n<1K]
---

# Speciesism (Animal-Harm Normalization)

Original 106-item evaluation set measuring the gap between whether a model **detects** speciesist statements and whether it **condemns** them — following SpeciesismBench's methodology (Jotautaitė et al., [arXiv:2508.11534](https://arxiv.org/abs/2508.11534)) with an original dataset, not the paper's unreleased 1,003-item corpus.

**56 speciesist** statements (44 grounded in [Open Paws' `no-animal-violence` euphemism lexicon](https://github.com/Open-Paws/no-animal-violence) + 12 across four failure modes: instrumentalization, suffering-dismissal, moral-exclusion, taste-priority) and **50 non-speciesist controls**.

Runnable Inspect eval: https://github.com/LarytheLord/inspect-speciesism-eval

## Fields
`id`, `statement`, `is_speciesist` (bool), `type` (industry_euphemism / control / one of 4 failure modes), `species`.

Content note: plainly-described animal harms + euphemisms, for evaluation/safety research.