PCBA_Standard-to-Real_Challenge Access Request

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Here is a more concise, English version of the Hugging Face dataset card. You can copy and paste this directly into your README.md.


Dataset Card for PCBA Standard-to-Real Challenge

πŸ† Challenge Overview

This is the official dataset for the PCBA Standard-to-Real Grand Challenge, held in conjunction with ACM Multimedia (MM) 2026.

This challenge focuses on Cross-domain Visual Question Answering (VQA) for real-world manufacturing inspection. The goal is to develop multimodal models capable of generalizing from theoretical manufacturing standards (normative illustrations) to dense, heterogeneous real-world Printed Circuit Board Assembly (PCBA) imagery to detect defects, reason about causes, and make actionable decisions.

πŸ† Competition Platform

Participants can register for the challenge, access submission instructions, and submit prediction files through the competition platform. High-performing teams will be considered for organizer recommendation for the ACM Multimedia 2026 Grand Challenge paper submission, subject to the challenge rules and conference requirements.

πŸ“Š Data Splits

Standard Factuality Quantitative Attribute Total
Component Type Mount Side Defect Existence Defect Type Component Pin/Lead
Train 1600 1000 400 2000 2000 400 400 400 8200
Test 1600 1000 400 2000 2000 400 400 400 8200
Total 3200 2000 800 4000 4000 800 800 800 16400

🎯 VQA Taxonomy

Models are evaluated across four distinct VQA dimensions:

  1. Standard-based Knowledge QA: Interpreting standard documents, analyzing defect causes, and making handling decisions.
  2. Factuality: Component type recognition, mount-side identification, defect existence, and defect type detection.
  3. Quantitative Reasoning: Counting components and pins/leads.
  4. Attribute Reasoning: Recognizing the shape and visual attributes of main components.

πŸ”— Resources & Links

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