datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
jev-distill-corpus
Jev-Gate Student B — LoRA Memory-Relevance Judge
A LoRA adapter (r=16, α=32, on q_proj/v_proj) on Qwen/Qwen2.5-0.5B-Instruct, distilled from the Jev typed-judgment API into a compact local judge for agent-memory gating.
What it does: given a query and a candidate memory passage, outputs P(relevant) as the calibrated yes probability read from the final-token logits of yes vs no. Used to filter which vector-recalled memories get injected into agent context (vector recall →… See the full description on the dataset page: https://huggingface.co/datasets/SargeDev/jev-distill-corpus.INSTRUCT_JEV
INSTRUCT_JEV
INSTRUCT_JEV is an instruction corpus built from the TypeSafe AI documentation
for Jev, the first System One model. It is structured around the three TypeSafe
question primitives - Choice, Noul and Score - and mirrors the raw corpus
captured in deckerGUI-jev_corpus_RAW.
Credits
INSTRUCT_JEV is a DeckerGUI project and exists because of the work below.
Who
Contribution
Link
TypeSafe AI
Jev - the first System One model - and the Choice / Noul… See the full description on the dataset page: https://huggingface.co/datasets/ctaxnagomi/INSTRUCT_JEV.mini-jev-runs
mini-Jev run records: 27 900 schema-driven decisions with full candidate logits
Every record is one decision a frozen Qwen/Qwen3-4B-Instruct-2507 made about one field of a JSON
schema that arrived with the request. The field was turned into a lettered multiple-choice question
(A = pay_bill, B = bill_balance, …), the model ran one forward pass, and the answer was
read from its next-token logits over the option letters. No token was generated.
The records keep what such a run… See the full description on the dataset page: https://huggingface.co/datasets/Mikhail/mini-jev-runs.