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labrat-aiko/popia-compliance-nli

POPIA Compliance NLI Hand-authored Natural Language Inference pairs for South Africa's Protection of Personal Information Act (POPIA). Each example is a (premise, hypothesis, label) triple covering one of 7 canonical POPIA clauses. Designed for fine-tuning small cross-encoder NLI models into deterministic, local, auditable compliance judges — the alternative to prompting an LLM-as-judge over personal information. Used to fine-tune labrat-aiko/nli-popia-v1, which reaches macro F1… See the full description on the dataset page: https://huggingface.co/datasets/labrat-aiko/popia-compliance-nli.

sourceHugging Faceapache-2.0updated 5mo agoView on Hugging Face
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2 commits on main
1fb12b85mo ago

feat: initial upload — 180 train, 120 paraphrase dev, 150 hash-pinned test

labrat-aiko
aef94df5mo ago

initial commit

labrat-aiko