content.raw: Can't wait to see multimodal LLama 3!
content.type: text
content.value: Can't wait to see multimodal LLama 3!
content.type: new_line
content.type: new_line
content.raw: We released a resource that might come in handy: The Cauldron 🍯
content.type: text
content.value: We released a resource that might come in handy: The Cauldron 🍯
content.type: new_line
content.type: new_line
content.raw: The Cauldron is a massive manually-curated collection of 50 vision-language sets for instruction fine-tuning. 3.6M images, 30.3M query/answer pairs.
content.type: text
content.value: The Cauldron is a massive manually-curated collection of 50 vision-language sets for instruction fine-tuning. 3.6M images, 30.3M query/answer pairs.
content.type: new_line
content.type: new_line
content.raw: It covers a large variety of downstream uses: visual question answering on natural images, OCR, document/charts/figures/tables understanding, textbooks/academic question, reasoning, captioning, spotting differences between 2 images, and screenshot-to-code.
content.type: text
content.value: It covers a large variety of downstream uses: visual question answering on natural images, OCR, document/charts/figures/tables understanding, textbooks/academic question, reasoning, captioning, spotting differences between 2 images, and screenshot-to-code.
content.type: new_line
content.type: text
content.type: new_line
content.raw: https://huggingface.co/datasets/HuggingFaceM4/the_cauldron
content.id: HuggingFaceM4/the_cauldron
content.type: dataset
content.type: resource
content.url: https://huggingface.co/datasets/HuggingFaceM4/the_cauldron
rawContent: Can't wait to see multimodal LLama 3!
  
  We released a resource that might come in handy: The Cauldron 🍯
  
  The Cauldron is a massive manually-curated collection of 50 vision-language sets for instruction fine-tuning. 3.6M images, 30.3M query/answer pairs.
  
  It covers a large variety of downstream uses: visual question answering on natural images, OCR, document/charts/figures/tables understanding, textbooks/academic question, reasoning, captioning, spotting differences between 2 images, and screenshot-to-code.
   
  https://huggingface.co/datasets/HuggingFaceM4/the_cauldron
reactions.reaction: 🔥
reactions.users: victor fdaudens InferenceIllusionist qubvel-hf adamelliotfields wannaphong ajibawa-2023 yo martineden AlekseiPravdin alielfilali01
reactions.reaction: ❤️
reactions.users: raincandy-u yo alielfilali01
commentators._id: 642265bc01c62c1e4102dc36
commentators.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/642265bc01c62c1e4102dc36/BQMayOHRPGWTMfRtsaadx.jpeg
commentators.fullname: Nitral
commentators.name: Nitral-AI
commentators.type: user