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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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01nvidia /Nemotron-RL-Agentic-Terminal-Pivot-v1 Dataset Description The Nemotron-RL-Agentic-Terminal-Pivot-v1 dataset provides training samples for reinforcement learning of command-line ("terminal use") LLM agents with the terminus_judge environment in NeMo Gym. Each record is a single agent decision point extracted from a successful agent trajectory on a terminal task: responses_create_params.input — the prompt: the task instruction plus the terminal interaction history (prior agent actions and terminal outputs) up to the… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-RL-Agentic-Terminal-Pivot-v1.texttext-generation10K<n<100K31 likes1.6k downloads28d agoHugging Face02inductionlabs /AgentWorldBench-Terminal-V2 AgentWorldBench-Terminal-V2 AgentWorldBench-Terminal-V2 is our improved subset of the terminal split from Qwen/AgentWorldBench (Zou et al., 2026). Given the history of a Linux terminal session, the model is evaluated on its ability to predict the output of the next command. In the original AgentWorldBench, some samples have ground-truth outputs that depend on environment details missing from the session history. Since the sessions are based on Terminal-Bench environments, the… See the full description on the dataset page: https://huggingface.co/datasets/inductionlabs/AgentWorldBench-Terminal-V2.tabulartext-generationn<1K0 likes119 downloads1mo agoHugging Face03Agent625 /terminal-bench-2 Terminal-Bench 2.0 ###################################################################### # _____ _ _ ______________ # # |_ _|__ _ __ _ __ ___ (_)_ __ __ _| | || || # # | |/ _ \ '__| '_ ` _ \| | '_ \ / _` | | || > || # # | | __/ | | | | | | | | | | | (_| | | || || # # |_|\___|_| |_| |_| |_|_|_| |_|\__,_|_| ||____________|| # # ____ _ ____… See the full description on the dataset page: https://huggingface.co/datasets/Agent625/terminal-bench-2.tabulartext-generationn<1K0 likes73 downloads5mo agoHugging Face04Dabou /Nemotron-RL-Agentic-Terminal-Pivot-v1 Dataset Description The Nemotron-RL-Agentic-Terminal-Pivot-v1 dataset provides training samples for reinforcement learning of command-line ("terminal use") LLM agents with the terminus_judge environment in NeMo Gym. Each record is a single agent decision point extracted from a successful agent trajectory on a terminal task: responses_create_params.input — the prompt: the task instruction plus the terminal interaction history (prior agent actions and terminal outputs) up to the… See the full description on the dataset page: https://huggingface.co/datasets/Dabou/Nemotron-RL-Agentic-Terminal-Pivot-v1.texttext-generation10K<n<100K0 likes66 downloads28d agoHugging Face

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