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  "name": "FineSightBench",
  "description": "\n\t\n\t\t\n\t\tFineSightBench\n\t\n\nFineSightBench is a fine-grained visual benchmark for evaluating Vision-Language Models (VLMs) on pixel-level perception and reasoning tasks. It combines two complementary image regimes:\n\nSynthetic canvas — controlled white-background images with precisely-sized geometric/semantic targets (letters, animals, shapes, blocks, dots).\nText in the wild (SynthText-style) — English words rendered onto real natural-scene photographs from the SynthText bg_img set, with… See the full description on the dataset page: https://huggingface.co/datasets/Volavion/FineSightBench.",
  "alternateName": [
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    "FineSightBench"
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    "name": "Lujun Li",
    "url": "https://huggingface.co/Volavion"
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  "keywords": [
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    "image-classification",
    "image-to-text",
    "English",
    "apache-2.0",
    "1K - 10K",
    "parquet",
    "optimized-parquet",
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    "Datasets",
    "Dask",
    "Polars",
    "Croissant",
    "🇺🇸 Region: US",
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    "fine-grained-visual-perception",
    "fine-grained-visual-reasoning",
    "text-in-the-wild",
    "scene-text-recognition"
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  "url": "https://huggingface.co/datasets/Volavion/FineSightBench",
  "rai:dataLimitations": "This dataset contains only synthetic data and is intended for model testing and small-scale training only. It is not recommended to use this dataset for real-world decision-making scenarios.",
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  "rai:personalSensitiveInformation": "This dataset does not contain any personal or sensitive information.",
  "rai:dataUseCases": "This dataset is primarily used for visual testing and validation of VLM, but it cannot be used as a benchmark for visual testing of real humans.",
  "rai:dataSocialImpact": "This dataset will not cause any potential social impact, but it will raise public awareness and understanding of VLMs.",
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    }
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