Datasets:
File size: 2,134 Bytes
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license: other
language:
- en
pretty_name: ProcessBench
task_categories:
- visual-question-answering
tags:
- robotics
- embodied-ai
- benchmark
- vision-language-models
- 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/train-*
dataset_info:
features:
- name: image
dtype: image
splits:
- name: train
num_bytes: 5095162001
num_examples: 148933
download_size: 7614328888
dataset_size: 5095162001
---
# ProcessBench
## Dataset Summary
ProcessBench is a process-aware benchmark for robotic manipulation understanding. This release build contains `57,892` public QA rows: `9,051` eval rows and `48,841` SFT rows across `12` task families.
## Included in this local release build
- `data/processbench_eval.parquet` and `data/processbench_eval.jsonl`
- `data/processdata_sft.parquet` and `data/processdata_sft.jsonl`
- dataset-specific split files for all four sources
- `metadata/split_summary.json`, `metadata/eval_manifest.json`, `metadata/sft_manifest.json`
- `metadata/task_distribution.csv`
- `metadata/schema.md`, `metadata/reconstruction.md`, `metadata/prompt_templates.md`
- post-trained `ProcessEval-7B` results under `ProcessEval_results/`
- benchmark suite `ProcessData-58k` under `ProcessData-58k/`
## Sources
- `GM-100`
- `RH20T`
- `REASSEMBLE`
- `AIST-Bimanual`
## Task Families
- `T1`: Phase Recognition
- `T2`: Contact Detection
- `T3`: Motion Direction Prediction
- `T4`: Bimanual Coordination State
- `T5`: Primitive-local Progress
- `T6`: Motion State Recognition
- `T7`: Operation Outcome Prediction
- `T8`: Temporal Ordering
- `T9`: Temporal Priority Prediction
- `T10`: Current Primitive Recognition
- `T11`: Next Primitive Prediction
- `T12`: Primitive Chain Restoration
## Splits
- `eval`: `9,051`
- `sft`: `48,841`
- split rule: strict episode / recording / scene isolation
## License and Terms
This release uses `license: other`.
- Derived benchmark metadata in this release remains subject to upstream dataset terms.
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