Jev topic
Jev Soft Labels
3 curated entries tagged soft-labels.
All 3 Jev Soft Labels
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- m-lagnajit's typed-decision dataset v2.1: 21,591 short-text rows with a human gold label, a calibrated soft label and the raw teacher ingredients, plus v2.1's corrected label that swaps the teacher's wrong top picks.Jev Benchmarks & EvaluationsDocs#community#evaluation#calibrationCommunity
- 8,916 LLM-written items with several typed questions each, following the Jev request shape: 28,661 choice, noul and score decisions across 314 workflows, labelled by averaged model probabilities.Jev Benchmarks & EvaluationsDocs#community#evaluation#calibrationCommunity
- English, Turkish and German decision-training rows from the JevAlt project: 26,043 situations with typed questions and probability targets, used to train Deem-4B, Karar-4B and Wähler-4B; Karar-4B reports 96.8% on Turkish.Jev Benchmarks & EvaluationsDocs#community#evaluation#calibrationCommunity