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.gitattributes

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README.md

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----
-license: apache-2.0
----
+---
+license: cc-by-4.0
+task_categories:
+- visual-question-answering
+- question-answering
+language:
+- en
+pretty_name: LLaVA Visual Instruct 150K
+size_categories:
+- 100K<n<1M
+---
+
+
+
+# LLaVA Visual Instruct 150K Dataset Card
+
+## Dataset details
+
+**Dataset type:**
+LLaVA Visual Instruct 150K is a set of GPT-generated multimodal instruction-following data.
+It is constructed for visual instruction tuning and for building large multimodal towards GPT-4 vision/language capability.
+
+**Dataset date:**
+LLaVA Visual Instruct 150K was collected in April 2023, by prompting GPT-4-0314 API.
+
+**Paper or resources for more information:**
+https://llava-vl.github.io/
+
+**License:**
+Creative Commons Attribution 4.0 International; and it should abide by the policy of OpenAI: https://openai.com/policies/terms-of-use
+
+**Where to send questions or comments about the model:**
+https://github.com/haotian-liu/LLaVA/issues
+
+## Intended use
+**Primary intended uses:**
+The primary use of LLaVA is research on large multimodal models and chatbots.
+
+**Primary intended users:**
+The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.

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