A preference dataset for THREATINTELLIGENCE, harvested from real, human-labelled sources and curated by an automated harvesting harness with an LLM quality gate. Standard preference / DPO schema — each row: 80/10/10 train / validation / test (seeded shuffle): train:1632 / validation:204 / test:204 - synthetic:deepseek/deepseek-v4-flash-0731 prompt and chosen are real — harvested from the human-labelled sources listed above (accepted / upvoted / high-rated responses). rejected is partly synthetic. Most sources retain only the accepted answer, so where no genuine low-scored counterpart existed the negative was generated by defect injection: an LLM rewrites that row's own chosen with exactly…
Independent publisher
Muhammad Usman Siddiqui
316usman
AI, ML, Deep Learning and Natural Language Processing
Models in Library0
Datasets in Library2
Models on Hugging Face107
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Published tasks: Text generation.
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Datasets
A preference dataset for SANCTIONSSCREENINGMATCH, harvested from real, human-labelled sources and curated by an automated harvesting harness with an LLM quality gate. Standard preference / DPO schema — each row: 80/10/10 train / validation / test (seeded shuffle): train:1553 / validation:194 / test:195 - https://law.stackexchange.com/questions/103190 - https://law.stackexchange.com/questions/103256 - https://law.stackexchange.com/questions/104418 - https://law.stackexchange.com/questions/104851 - https://law.stackexchange.com/questions/105647 - https://law.stackexchange.com/questions/105745 - https://law.stackexchange.com/questions/106488 - https://law.stackexchange.com/questions/106690…