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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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01guanning /arc-agi-3-schema-traces-gpt56gated ARC-AGI-3 Schema Gameplay Trajectories — GPT-5.6 Sol This release contains every gpt-5.6-sol gameplay trajectory produced on our cluster with the world_model_v5 agent harness — 100 runs across the 25 public ARC-AGI-3 games — plus a dependency-free scoring utility. It is the GPT-5.6 Sol member of a family built by the same harness and the same sanitizer, so trajectories can be compared game by game: arc-agi-3-schema-traces-fable5 — Claude Fable 5, best per game (25)… See the full description on the dataset page: https://huggingface.co/datasets/guanning/arc-agi-3-schema-traces-gpt56.tabularreinforcement-learningn<1K0 likes81 downloads6d agoHugging Face02istat-ai /patents-classified-2106-gpt5-minitabular1K<n<10K1 likes74 downloads1y agoHugging Face03guanning /arc-agi-3-schema-traces-gpt56-xhighgated ARC-AGI-3 Schema Gameplay Trajectories — GPT-5.6 Sol (xhigh) The best gpt-5.6-sol trajectory at xhigh reasoning effort for each of the 25 public ARC-AGI-3 games, produced with the world_model_v5 agent harness. This release exists to make the cross-model comparison single-effort on all sides. Its siblings are each one model at one effort, but the gpt-5.6-sol collection in arc-agi-3-schema-gameplay is a mix of xhigh and max (16 games + 9 games), so it is not directly comparable to… See the full description on the dataset page: https://huggingface.co/datasets/guanning/arc-agi-3-schema-traces-gpt56-xhigh.tabularreinforcement-learningn<1K0 likes37 downloads3d agoHugging Face04SLoonker /Grok-Code-Fast-1-Distillation-Done-By-GPT5.4 GPT 5.4 Code Distillation This dataset contains 500 randomly sampled prompt, reasoning, and output triples derived from the source dataset TeichAI/grok-code-fast-1-1000x. Columns Prompt: the user message extracted from the source conversation. Reasoning: the assistant's <think> content when present. Output: the assistant response after the <think> block. Source Attribution Prompt source and original conversation data come from TeichAI/grok-code-fast-1-1000x.… See the full description on the dataset page: https://huggingface.co/datasets/SLoonker/Grok-Code-Fast-1-Distillation-Done-By-GPT5.4.texttext-generationn<1K2 likes16 downloads5mo agoHugging Face

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