Datasets:
Tasks:
Visual Question Answering
Formats:
parquet
Languages:
English
Size:
10K - 100K
ArXiv:
License:
| license: other | |
| language: | |
| - en | |
| pretty_name: ProcessBench | |
| task_categories: | |
| - visual-question-answering | |
| tags: | |
| - robotics | |
| - vision-language-models | |
| - embodied-ai | |
| - benchmark | |
| - process-understanding | |
| - manipulation | |
| size_categories: | |
| - 10K<n<100K | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: eval | |
| path: data/processbench_eval.parquet | |
| - split: train | |
| path: data/processdata_sft.parquet | |
| # ProcessBench | |
| ## Dataset Summary | |
| ProcessBench is a process-aware VLM benchmark for robotic manipulation. It contains 57,892 QA items, including 48,841 SFT items and 9,051 evaluation items, across 12 task families. | |
| ## What is included | |
| - Frozen evaluation QA items | |
| - SFT QA items or manifests | |
| - Split metadata | |
| - Task distribution statistics | |
| - Human audit summary | |
| - ProcessEval-7B bootstrap CI | |
| - Rendered task cards | |
| - Reconstruction metadata | |
| ## What is not included | |
| We do not redistribute full upstream raw videos or full frame dumps. Full visual reconstruction requires users to obtain the upstream datasets under their original licenses. | |
| ## Data Sources | |
| GM-100, RH20T, REASSEMBLE, and AIST-Bimanual. | |
| ## Task Families | |
| T1--T12 with short descriptions. | |
| ## Data Fields | |
| Explain item_id, source, task_id, input_type, question, choices, answer, visual_ref, source_episode_ref, builder_version. | |
| ## Splits | |
| Strict episode / recording / scene isolation. Report 48,841 SFT and 9,051 eval. | |
| ## Metrics | |
| Accuracy, random baseline, majority baseline, bootstrap CI. | |
| ## Human Audit | |
| 50 sampled items per task, two annotators. | |
| ## Intended Use | |
| Diagnostic evaluation of VLM-side process understanding and process-aware VLM adaptation. | |
| ## Out-of-Scope Use | |
| Not a closed-loop robot safety benchmark, not a deployment certificate, not a generic VLM leaderboard. | |
| ## Licenses and Terms | |
| Code MIT; derived data subject to upstream terms. | |
| ## Croissant Metadata | |
| This release includes Croissant metadata with core and Responsible AI fields. | |
| ## Citation | |
| Anonymous during review. | |