Update README.md

README.md

@@ -1,15 +1,16 @@
+
 ---
 license: other
-language: 
+language:
 - en
-pretty_name: ProcessBench
-task_categories: 
+pretty_name: ProcessBench-v1
+task_categories:
 - visual-question-answering
 tags:
 - robotics
-- vision-language-models
 - embodied-ai
 - benchmark
+- vision-language-models
 - process-understanding
 - manipulation
 size_categories:
@@ -23,53 +24,63 @@ configs:
     path: data/processdata_sft.parquet
 ---
 
-# ProcessBench
+# ProcessBench-v1
 
 ## 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
+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.
 
-## 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.
+## Included in this local release build
 
-## Data Sources
-GM-100, RH20T, REASSEMBLE, and AIST-Bimanual.
+- `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 `SFT_results/`
 
-## Task Families
-T1--T12 with short descriptions.
+## Not included in this local release build
 
-## Data Fields
-Explain item_id, source, task_id, input_type, question, choices, answer, visual_ref, source_episode_ref, builder_version.
+- full upstream raw videos
+- full extracted frame caches
+- local absolute paths from the development machine
+- separate structured task-meta fields
+- Croissant metadata
+- task-card PNGs and human-audit assets
 
-## Splits
-Strict episode / recording / scene isolation. Report 48,841 SFT and 9,051 eval.
+## Sources
+
+- `GM-100`
+- `RH20T`
+- `REASSEMBLE`
+- `AIST-Bimanual`
 
-## Metrics
-Accuracy, random baseline, majority baseline, bootstrap CI.
+## Task Families
 
-## Human Audit
-50 sampled items per task, two annotators.
+- `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
 
-## Intended Use
-Diagnostic evaluation of VLM-side process understanding and process-aware VLM adaptation.
+## Splits
 
-## Out-of-Scope Use
-Not a closed-loop robot safety benchmark, not a deployment certificate, not a generic VLM leaderboard.
+- `eval`: `9,051`
+- `sft`: `48,841`
+- split rule: strict episode / recording / scene isolation
 
-## Licenses and Terms
-Code MIT; derived data subject to upstream terms.
+## License and Terms
 
-## Croissant Metadata
-This release includes Croissant metadata with core and Responsible AI fields.
+This release uses `license: other`.
 
-## Citation
-Anonymous during review.
+- Derived benchmark metadata in this release remains subject to upstream dataset terms.
+- Raw videos and full frame caches are not redistributed here.
+- Full visual reconstruction requires obtaining the upstream datasets under their original terms.