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--- |
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task_categories: |
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- image-to-text |
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- text-to-image |
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language: |
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- ar |
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- en |
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- ru |
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- it |
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- es |
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- ko |
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- pl |
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- tr |
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- zh |
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- de |
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- fr |
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- ja |
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size_categories: |
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- 1K<n<10K |
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--- |
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# Dataset Summary |
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The expanded XTD-11 dataset, now including Arabic, enhances the original XTD collection. This dataset introduces a 1,000-image multi-lingual MSCOCO2014 caption to test multimodel in zeroshot image or text retrieval in 11 Languages. |
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## Dataset Details |
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## Citation [optional] |
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``` |
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@misc{aggarwal2020zeroshot, |
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title={Towards Zero-shot Cross-lingual Image Retrieval}, |
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author={Pranav Aggarwal and Ajinkya Kale}, |
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year={2020}, |
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eprint={2012.05107}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL} |
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} |
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``` |
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We add Arabic to the dataset and rename it as XTD11. The effort of the Arabic dataset goes to: |
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``` |
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@misc{aggarwal2020zeroshot, |
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title={WASF: An open-source dataset for Image-Text}, |
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author={Khalid Almubarak, Mohammed Alkhowaiter, Asem Alasaker}, |
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year={2020}, |
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eprint={2012.05107}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL} |
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} |
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``` |
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