Download 665k: Zip

High; serves as a robust "instruction-tuning" foundation for many custom VLMs.

Be prepared to handle files or write scripts to extract images into a training-ready format. Download 665K zip

Research published on OpenReview suggests that state-of-the-art (SOTA) models like Qwen-VL or Intern-VL are already so strong that they do not see massive benefits from this specific 665k public dataset alone. This indicates that while the 665k zip is essential for building baseline multimodal capabilities, it may be reaching its limits for the most advanced architectures. Technical Pros & Cons Feature Reviewer Consensus Diversity High; serves as a robust "instruction-tuning" foundation for

Developers have noted that to get a complete working version, users often need to rely on community-contributed zip files that aggregate these missing images. For instance, a notable contribution on the LLaVA GitHub repository provides a workaround zip for OCR-VQA images to ensure the full 665k set can be utilized. 2. Format and Usability This indicates that while the 665k zip is

Excellent; covers OCR, spatial reasoning, and complex scene description.

add ocr vqa images by Victorwz · Pull Request #1458 - GitHub