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decisionmodels/sn92-generalist-train-v1

SN92 generalist decision data — train v1 109,547 synthetic training items for decision models: a model reads a structured state and a question and picks one option. Items use the REAX decision format (state + question with type choice, noul (no/yes) or score (ordered levels), expected = the key of the correct option). They cover 10 categories and 27 languages and were built for the Bittensor subnet 92 (REAX) generalist track and for decision-model research. No claim is made… See the full description on the dataset page: https://huggingface.co/datasets/decisionmodels/sn92-generalist-train-v1.

Author / organizationdecisionmodels
License (as declared)cc-by-4.0
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Created21 October 2026
Last updated at source21 October 2026
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