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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01hbin0701 /opsd-probe-seed OPSD prefix-continuation probe — seed data Everything needed to reproduce the prefix-continuation probe for OPSD (on-policy self-distillation) on a fresh GPU box, except the base model (Qwen/Qwen3-1.7B, pulled from the Hub at setup) and the code repo (hbin0701/OPSD). These artifacts live outside git because the training/eval output directory is .gitignored. What the probe answers Fitting p' = p + λ·(1[mode correct] − p) + γ against a properly sampled 64-shot… See the full description on the dataset page: https://huggingface.co/datasets/hbin0701/opsd-probe-seed.tabulartext-generationn<1K0 likes36 downloads1mo agoHugging Face02SeongryongJung /opsd-plain-4b-rollouts opsd-plain-4b-rollouts This dataset contains rollout generations collected during training. Source experiment method: opsd-plain model_size: 4b experiment_dir: /home/irteam/outputs/opsd_plain_4b Format Each row contains: step sample_index prompt completion method model_size source_file Viewer structure all: all rollout rows together step_<N>: only one rollout step, easier to inspect in the dataset viewer Notes… See the full description on the dataset page: https://huggingface.co/datasets/SeongryongJung/opsd-plain-4b-rollouts.tabulartext-generationn<1K0 likes26 downloads4mo agoHugging Face03SeongryongJung /opsd-plain-8b-rollouts opsd-plain-8b-rollouts This dataset contains rollout generations collected during training. Source experiment method: opsd-plain model_size: 8b experiment_dir: /home/irteam/outputs/opsd_plain_8b Format Each row contains: step sample_index prompt completion method model_size source_file Viewer structure all: all rollout rows together step_<N>: only one rollout step, easier to inspect in the dataset viewer Notes… See the full description on the dataset page: https://huggingface.co/datasets/SeongryongJung/opsd-plain-8b-rollouts.tabulartext-generationn<1K0 likes16 downloads4mo agoHugging Face04dvyomkesh /opsd_edge_dataset OPSD Edge Dataset (Paper-Faithful) Edge prompts for On-Policy Self-Distillation training on Nemotron-3-Nano. Paper Reference "Self-Distilled Reasoner: On-Policy Self-Distillation for LLMs" Paper: arXiv:2601.18734 Code: github.com/siyan-zhao/OPSD Dataset Description This dataset contains 1,782 "edge" prompts where the 0.83 Nemotron adapter achieves 25-75% pass rate (uncertain cases ideal for learning). Paper-Faithful Format From Figure 2 of the OPSD… See the full description on the dataset page: https://huggingface.co/datasets/dvyomkesh/opsd_edge_dataset.tabulartext-generation1K<n<10K0 likes11 downloads4mo agoHugging Face

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