Our released dataset is built from two complementary sources:
๐ Standards-derived VQA
Constructed from information extracted from several industrial packaging standards and converted into VQA items. This subset focuses on standards knowledge, defect-cause analysis, and decision-making.
Corpus: including IPC-600, IPC-610, and other PCB & PCBA domain standards.ย
๐ญ Real-world VQA
Built from actual factory production-line data. This subset focuses on real manufacturing imagery and inspection-oriented reasoning under practical visual variation.
๐ปReleased Public Split
- Train: 8,200 questions
- Test: 7,200 questions
- Total: 15,400 questions
VQA Taxonomy
Participants evaluate their models across four VQA families:
๐ Standard-based Knowledge QA
Questions derived from industrial standards documents, covering standard interpretation, defect cause analysis, and handling decisions.
๐ Factuality
Perception-centric tasks include component type recognition, mount-side identification, defect existence detection, and defect type recognition.
๐ข Quantitative Reasoning
Numeric short-answer questions for component quantity counting and pin/lead counting.
๐ Attribute Reasoning
Recognition of main component shape.