Download 665k Zip Now

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

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 Download 665K zip

The "665K" refers to the number of entries, not the file size. When unzipped, the full image set requires substantial disk space—often dozens of gigabytes—depending on whether you are downloading the raw images or pre-processed features. 3. Performance and Impact For instance, a notable contribution on the LLaVA