| --- |
| 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. |
| |
