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yonigozlan HF staff tonywu71 commited on
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b708fd8
1 Parent(s): b200672

Remove original dataset URL (#1)

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- Remove original dataset URL (d414e6b6f5b010be9bb24e3a88dc7f5f79c10ee5)


Co-authored-by: Tony Wu <tonywu71@users.noreply.huggingface.co>

Files changed (1) hide show
  1. README.md +3 -3
README.md CHANGED
@@ -20,6 +20,8 @@ license: mit
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  language:
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  - en
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  pretty_name: Document Visual Retrieval Test (internal)
 
 
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  ---
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  # Model Card: Document Visual Retrieval Test (internal)
@@ -28,8 +30,6 @@ pretty_name: Document Visual Retrieval Test (internal)
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  This dataset is designed to evaluate the performance of visual retrievers by testing their ability to match a query to a relevant image. Each of the three examples in this dataset contains a text query and an associated image, which is a scanned page from the foundational "Attention is All You Need" paper. The purpose of this dataset is to facilitate the evaluation of visual retrievers, where the retrieval model should accurately link each query with its corresponding page.
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- Copied from [vidore/colpali-v1.2-merged](https://huggingface.co/datasets/vidore/document-visual-retrieval-test/tree/main/data)
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-
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  ## Dataset Details
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  - **Number of Examples**: 3
@@ -57,4 +57,4 @@ A basic text-to-image matching model should aim for a Recall@1 score of 100% giv
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  ## Ethical Considerations
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- This dataset uses publicly available content from an academic paper (the "Attention is All You Need" paper). Users should ensure appropriate use in line with fair-use guidelines for academic and research purposes. No private or sensitive information is contained in this dataset.
 
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  language:
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  - en
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  pretty_name: Document Visual Retrieval Test (internal)
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+ size_categories:
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+ - n<1K
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  ---
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  # Model Card: Document Visual Retrieval Test (internal)
 
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  This dataset is designed to evaluate the performance of visual retrievers by testing their ability to match a query to a relevant image. Each of the three examples in this dataset contains a text query and an associated image, which is a scanned page from the foundational "Attention is All You Need" paper. The purpose of this dataset is to facilitate the evaluation of visual retrievers, where the retrieval model should accurately link each query with its corresponding page.
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  ## Dataset Details
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  - **Number of Examples**: 3
 
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  ## Ethical Considerations
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+ This dataset uses publicly available content from an academic paper (the "Attention is All You Need" paper). Users should ensure appropriate use in line with fair-use guidelines for academic and research purposes. No private or sensitive information is contained in this dataset.