Update README.md

README.md

@@ -34,7 +34,7 @@ The primary intended users of the model are researchers and hobbyists in compute
 
 ## Training dataset
 - 558K filtered image-text pairs from LAION/CC/SBU, captioned by BLIP.
-- 80K GPT-generated multimodal instruction-following data.
+- ScienceQA training set.
 
 ## Evaluation dataset
 A preliminary evaluation of the model quality is conducted by creating a set of 90 visual reasoning questions from 30 unique images randomly sampled from COCO val 2014 and each is associated with three types of questions: conversational, detailed description, and complex reasoning. We utilize GPT-4 to judge the model outputs.