Datasets:
Tasks:
Visual Question Answering
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
< 1K
License:
Update README.md
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README.md
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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-
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size_categories:
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- 1K<n<10K
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---
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# SEED-Bench-2-
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## Benchmark details
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**Benchmark type:**
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SEED-Bench-2-
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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-
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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-
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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.
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