dipta007/decomposeRL-tiny-judge

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.

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