ant-intl/ARC

INTER³-86K: Strategy-Annotated Data for Open-Ended Agent Interaction INTER³-86K is a strategy-annotated training corpus for open-ended, tool-augmented agent interaction. It accompanies the paper ARC: Fair Relative Advantage Comparison in Open-Ended Real-World Interaction. The dataset contains 86,796 examples for supervised fine-tuning and reinforcement learning. It covers tool use, multi-hop question answering, logical reasoning, and multi-turn interaction. INTER³ stands for… See the full description on the dataset page: https://huggingface.co/datasets/ant-intl/ARC.

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