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soyrsoyr/jev-playground-rlcd-v0

openjev-rlcd-v0 Synthetic calibrated-decision dataset for training Jev-style System One classifiers plan). States are generated programmatically per domain; typed questions follow the openjev /v1/systemone contract; reference distributions are exact by construction, the property a proper-scoring-rule / calibration objective needs. Format JSONL, one state per line: { "domain": "support_tickets", "state": "...", "questions": { "urgent": {"type": "noul"… See the full description on the dataset page: https://huggingface.co/datasets/soyrsoyr/jev-playground-rlcd-v0.

Author / organizationsoyrsoyr
License (as declared)mit
Downloads296 (as reported by Hugging Face)
Likes0
Created23 September 2026
Last updated at source24 September 2026
calibrationzero-shot-classificationsyntheticsystem-one
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