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README.md
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license: other
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language:
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- en
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pretty_name:
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task_categories:
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- visual-question-answering
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tags:
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path: splits/processdata_eval.parquet
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---
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#
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## Dataset Summary
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This release contains 57,892 QA rows: 48,841 SFT rows and 9,051 evaluation rows across 12 task families and 260 manipulation tasks. The split follows strict episode / recording / scene isolation. The benchmark is derived from GM-100, RH20T, REASSEMBLE, and AIST-Bimanual.
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## Task Families
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-
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- **T1 Phase Recognition:** identify the current coarse process phase.
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- **T2 Contact Detection:** determine whether task-relevant contact has occurred.
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The release is organized as a compact, reviewable benchmark package:
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```text
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-
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├── splits/ # SFT and Eval QA entries, split summaries
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│ ├── processdata_sft.jsonl
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│ ├── processdata_sft.parquet
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license: other
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language:
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- en
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pretty_name: RoboProcessBench
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task_categories:
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- visual-question-answering
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tags:
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path: splits/processdata_eval.parquet
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---
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# RoboProcessBench
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## Dataset Summary
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RoboProcessBench 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.
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This release contains 57,892 QA rows: 48,841 SFT rows and 9,051 evaluation rows across 12 task families and 260 manipulation tasks. The split follows strict episode / recording / scene isolation. The benchmark is derived from GM-100, RH20T, REASSEMBLE, and AIST-Bimanual.
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## Task Families
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RoboProcessBench contains 12 diagnostic question families:
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- **T1 Phase Recognition:** identify the current coarse process phase.
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- **T2 Contact Detection:** determine whether task-relevant contact has occurred.
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The release is organized as a compact, reviewable benchmark package:
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```text
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RoboProcessBench/
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├── splits/ # SFT and Eval QA entries, split summaries
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│ ├── processdata_sft.jsonl
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│ ├── processdata_sft.parquet
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