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SDF corpus sample (synthetic, corrigible animal welfare)
A 100-document sample from CaML's synthetic document finetuning (SDF) pipeline, with its companion reasoning set.
- train (95 rows): synthetic documents across ~30 genres and mixed registers that lean toward weighing animal welfare as a genuine consideration, including latent documents where welfare appears only as a background detail.
- reasoning (89 rows): assistant replies across five behaviour families (advice, tension, refusal, noticing, pushback) that advocate for welfare while keeping humans in control: advise and defer, never override, no moralizing.
All text is fully synthetic (gemini-2.5-flash) with fictional people and organisations. This is a viewable sample for review, not a training-scale corpus.
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