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  ### Curation Rationale
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- The main goal of ImageCoDe is to highlight weaknesses of recent Vision-and-Language models regarding complex language and fine-grained visual representations. In addition, we found that the dataset offers plenty of pragmatic examples and is therefore suitable for studying pragmatics.
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- ### Source Data
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- #### Initial Data Collection and Normalization
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- #### Who are the source language producers?
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- ### Annotations
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- #### Annotation process
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- #### Who are the annotators?
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- ### Personal and Sensitive Information
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- ## Considerations for Using the Data
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- ### Social Impact of Dataset
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- ### Discussion of Biases
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- ### Other Known Limitations
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- ## Additional Information
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- ### Dataset Curators
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- ### Licensing Information
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- ### Citation Information
 
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  ### Curation Rationale
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+ The main goal of ImageCoDe is to highlight weaknesses of recent Vision-and-Language models regarding complex language and fine-grained visual representations. In addition, we found that the dataset offers plenty of pragmatic examples and is therefore suitable for studying pragmatics.