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@@ -4,24 +4,24 @@ task_categories:
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  - visual-question-answering
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  language:
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  - en
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- pretty_name: SEED-Bench-2-plus
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  size_categories:
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  - 1K<n<10K
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  ---
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- # SEED-Bench-2-plus Card
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  ## Benchmark details
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  **Benchmark type:**
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- SEED-Bench-2-plus is a large-scale benchmark to evaluate Multimodal Large Language Models (MLLMs).
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  It consists of 2.3K multiple-choice questions with precise human annotations, spanning three broad categories: Charts, Maps,
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  and Webs, each of which covers a wide spectrum of text-rich scenarios in the real world.
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  **Benchmark date:**
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- SEED-Bench-2-plus was collected in April 2024.
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  **Paper or resources for more information:**
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  https://github.com/AILab-CVC/SEED-Bench
@@ -38,7 +38,7 @@ https://github.com/AILab-CVC/SEED-Bench/issues
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  ## Intended use
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  **Primary intended uses:**
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- The primary use of SEED-Bench-2-plus is evaluate Multimodal Large Language Models on text-rich visual understanding.
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  **Primary intended users:**
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  The primary intended users of the Benchmark are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.
 
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  - visual-question-answering
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  language:
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  - en
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+ pretty_name: SEED-Bench-2-Plus
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  size_categories:
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  - 1K<n<10K
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  ---
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+ # SEED-Bench-2-Plus Card
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  ## Benchmark details
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  **Benchmark type:**
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+ SEED-Bench-2-Plus is a large-scale benchmark to evaluate Multimodal Large Language Models (MLLMs).
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  It consists of 2.3K multiple-choice questions with precise human annotations, spanning three broad categories: Charts, Maps,
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  and Webs, each of which covers a wide spectrum of text-rich scenarios in the real world.
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  **Benchmark date:**
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+ SEED-Bench-2-Plus was collected in April 2024.
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  **Paper or resources for more information:**
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  https://github.com/AILab-CVC/SEED-Bench
 
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  ## Intended use
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  **Primary intended uses:**
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+ The primary use of SEED-Bench-2-Plus is evaluate Multimodal Large Language Models on text-rich visual understanding.
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  **Primary intended users:**
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  The primary intended users of the Benchmark are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.