[Sam Tucker-Davis (samtuckerdavis)]

Description

Adds _SpeciesistBiasDataset, a remote loader for the Speciesist Bias Prompts dataset, as discussed in #3501 with Roman Lutz (@romanlutz).

• The dataset lives outside PyRIT on Hugging Face (stuckdavis/speciesist-bias-prompts, CC BY 4.0, with a dataset card). The loader pins the commit of the v0.2.0 tag (HF_REVISION).
• 109 rows: 77 comparative prompts that name two species in one prompt, and 16 split pairs (32 rows) that share a pair_id. Split halves are emitted as independent seeds; compare the two responses that share a pair_id to detect inconsistency.
• 66 rows are implicit everyday tasks (writing, advice, planning) that don't ask the model to assess or compare the animals' feelings or welfare, and 43 are explicit questions; each row says which in framing. Each row also has a one-sentence bias_signal describing what a biased answer would look like, for use by a scorer or as an attack objective.
• Every seed uses HarmCategory.OTHER. The source label speciesist_bias stays in metadata["harm_category"], through an explicit alias override, so nothing falls through to the unknown-category warning.
• Metadata per seed: item_id, harm_category, prompt_type, species, contexts, task, framing, bias_signal, source, version, and pair_id for split pairs.
• Class metadata: tags safety, bias, ethics; harm_categories speciesist_bias; size medium; text only. Not tagged default (not a peer-reviewed or established benchmark).
• No new HarmCategory, no harm definition YAML and no scorer.

Tests and Documentation

• tests/unit/datasets/test_speciesist_bias_dataset.py: row mapping, REMOTE origin, harm category, metadata (with and without pair_id, and rows without the optional framing/bias_signal), revision/split/cache passthrough, missing required fields, empty dataset, class metadata, and a guard that the source is pinned to a 40-character commit SHA.
• Added the dataset to the list in doc/code/datasets/1_loading_datasets.py and the paired notebook (plus speciesist_bias in the dataset-name output), and a references.bib entry.

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