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| license: cc-by-nc-nd-4.0 |
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| ## Description |
| 120,000 Questions - Multi-discipline Multi-modal Understanding & Reasoning Data, covering six major academic fields such as art, engineering, and medicine, as well as various specialized sub-domains. It includes professional-level mixed text and visual questions (e.g., charts, engineering drawings, and art analysis) that have been quality-checked by specialists. This dataset enables deep understanding of textual and visual information and can enhance the logical reasoning and knowledge application capabilities of large models. |
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| For more details, please refer to the link: https://www.nexdata.ai/datasets/llm/1751?source=Huggingface |
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| ## Specifications |
| ### Data size |
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| 120,000 questions |
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| ### Image resolution |
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| short side resolution ≥ 500 pixels |
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| ### Subject categories |
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| arts, business, science, medicine,humanities and social sciences, engineering |
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| ### QA length |
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| question length ≥ 10 Chinese characters, and the answer and analysis length ≥ 40 characters |
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| ### Collection equipment |
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| mobile phone, scanner |
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| ### Language |
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| Chinese |
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| ### Diversity |
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| multiple disciplines, multiple image types, multiple types of questions |
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| ### Data format |
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| .jpg, .png, .josn |
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| ## Licensing Information |
| Commercial License |
