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README.md
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### Dataset Summary
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This release maps 783 relative PittAds image identifiers to 10,450 image URL references (10,208 unique URLs) curated through reverse image search. It is a metadata subset associated with
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The paper introduces multi-label atypicality classification, atypicality statement retrieval, and atypical object recognition. The released JSON contains image identifiers and URL lists only; it does not include image files, task prompts, or ground-truth labels, so it cannot reproduce the full benchmark by itself.
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The upstream release is a single JSON file with 783 image identifiers and no named train, validation, or test partition. This implementation exposes the file as a `test` split because it accompanies an evaluation benchmark; that split name is a loader convention, not a split assignment documented by the upstream authors.
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| Split
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## Dataset Creation
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### Dataset Summary
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This release maps 783 relative PittAds image identifiers to 10,450 image URL references (10,208 unique URLs) curated through reverse image search. It is a metadata subset associated with *Benchmarking VLMs' Reasoning About Persuasive Atypical Images*.
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The paper introduces multi-label atypicality classification, atypicality statement retrieval, and atypical object recognition. The released JSON contains image identifiers and URL lists only; it does not include image files, task prompts, or ground-truth labels, so it cannot reproduce the full benchmark by itself.
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The upstream release is a single JSON file with 783 image identifiers and no named train, validation, or test partition. This implementation exposes the file as a `test` split because it accompanies an evaluation benchmark; that split name is a loader convention, not a split assignment documented by the upstream authors.
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| Split | Image identifiers | URL references |
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|:--|--:|--:|
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| `test` | 783 | 10,450 |
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## Dataset Creation
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