Consider using it in conjunction with newer, more specialized datasets if you are working with top-tier models like Qwen-VL.
add ocr vqa images by Victorwz · Pull Request #1458 - GitHub Download 665K zip
High; serves as a robust "instruction-tuning" foundation for many custom VLMs. Consider using it in conjunction with newer, more
The is a diverse, large-scale multimodal dataset used primarily for fine-tuning vision-language models. It consists of approximately 665,000 instruction-following samples that combine images with complex textual reasoning, designed to help models understand and describe visual content with high precision. Critical Review of the Download Experience 1. Data Integrity and Availability This indicates that while the 665k zip is
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
Verify the source of the zip to ensure it includes the images.