DecomposeRL Tiny-Judge: Distillation Data
Overview
DecomposeRL Tiny-Judge is the distillation dataset used to train DecomposeRL's tiny-judge stack — eight small ModernBERT-large classifier heads that replace a Qwen3-32B LLM judge as the reward model during GRPO training.
Each row is a judgment task instance: a text input (claim / question / answer / evidence, depending on the task) paired with a label distilled from a Qwen/Qwen3-32B judge call… See the full description on the dataset page: https://huggingface.co/datasets/dipta007/decomposeRL-tiny-judge.