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croissant.json
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"conformsTo": "http://mlcommons.org/croissant/1.1",
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"name": "RoboProcessBench",
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"description": "\n\t\n\t\t\n\t\tRoboProcessBench\n\t\n\n\n\t\n\t\t\n\t\tDataset Summary\n\t\n\nRoboProcessBench is a process-aware benchmark for vision-language robotic manipulation understanding. It evaluates whether VLMs can infer how a manipulation execution unfolds, including phase, contact, motion, bimanual coordination, primitive-local progress, temporal order, outcome, and primitive-level transitions.\nThis release contains 57,892 QA rows: 48,841 SFT rows and 9,051 evaluation rows across 12 task families and 260 manipulation tasks.… See the full description on the dataset page: https://huggingface.co/datasets/ProcessBench-2026/
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"alternateName": [
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"ProcessBench-2026/RoboProcessBench",
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"RoboProcessBench"
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],
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"conformsTo": "http://mlcommons.org/croissant/1.1",
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"name": "RoboProcessBench",
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"description": "\n\t\n\t\t\n\t\tRoboProcessBench\n\t\n\n\n\t\n\t\t\n\t\tDataset Summary\n\t\n\nRoboProcessBench is a process-aware benchmark for vision-language robotic manipulation understanding. It evaluates whether VLMs can infer how a manipulation execution unfolds, including phase, contact, motion, bimanual coordination, primitive-local progress, temporal order, outcome, and primitive-level transitions.\nThis release contains 57,892 QA rows: 48,841 SFT rows and 9,051 evaluation rows across 12 task families and 260 manipulation tasks.… See the full description on the dataset page: https://huggingface.co/datasets/ProcessBench-2026/RoboProcessBench.",
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"alternateName": [
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"ProcessBench-2026/RoboProcessBench",
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"RoboProcessBench"
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