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Dataset · Hugging Face

decisionmodels/sn92-specialists

SN92 specialists: train + dev data for 20 business use cases Synthetic, realistic decision tasks for 20 business use cases, published by REAX (Bittensor subnet 92) so that miners can train and test Jev-compatible specialist models: small open-weight models that answer typed decision questions (choice, noul = yes/no probability, score = ordinal level). This repository holds the public train and dev splits. The sealed split is private and is used for scoring; it is not in this… See the full description on the dataset page: https://huggingface.co/datasets/decisionmodels/sn92-specialists.

Author / organizationdecisionmodels
License (as declared)cc-by-4.0
Downloads562 (as reported by Hugging Face)
Likes0
Created15 October 2026
Last updated at source18 October 2026
decision-makingsyntheticbittensorsn92
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