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  MIRACL-VISION is a multilingual visual retrieval dataset for 18 different languages. It is an extension of MIRACL, a popular text-only multilingual retrieval dataset. The dataset contains user questions, images of Wikipedia articles and annotations, which article can answer a user question. There are 7898 questions and 338734 images.
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- This dataset is ready for commercial.
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  ### Correspondence to
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  Benedikt Schifferer ([email protected])
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  | Yoruba | 0.5655 | 0.5332 | 0.5698 | 0.5842 | 0.4178 | 0.4884 | 0.4577 | 0.5120 |
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  | | | | | | | | | |
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  | **Average** | **0.7624** | **0.7806** | **0.7682** | **0.7964** | **0.4426** | **0.5283** | **0.4741** | **0.4728** |
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- | **Average w/o Thelugu** | **0.7546** | **0.7724** | **0.7600** | **0.7898** | **0.4670** | **0.5542** | **0.5002** | **0.4991** |
 
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  MIRACL-VISION is a multilingual visual retrieval dataset for 18 different languages. It is an extension of MIRACL, a popular text-only multilingual retrieval dataset. The dataset contains user questions, images of Wikipedia articles and annotations, which article can answer a user question. There are 7898 questions and 338734 images.
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+ This dataset is ready for commercial usage for evaluation of the multilingual, multimodal retriever pipelines.
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  ### Correspondence to
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  Benedikt Schifferer ([email protected])
 
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  | Yoruba | 0.5655 | 0.5332 | 0.5698 | 0.5842 | 0.4178 | 0.4884 | 0.4577 | 0.5120 |
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  | | | | | | | | | |
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  | **Average** | **0.7624** | **0.7806** | **0.7682** | **0.7964** | **0.4426** | **0.5283** | **0.4741** | **0.4728** |
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+ | **Average w/o Telugu** | **0.7546** | **0.7724** | **0.7600** | **0.7898** | **0.4670** | **0.5542** | **0.5002** | **0.4991** |