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  This dataset is a collection of multiple language open-source captions of [COCO](https://cocodataset.org/) dataset.
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- This splits in this dataset is set according to [Andrej Karpathy's split](https://www.kaggle.com/datasets/shtvkumar/karpathy-splits) from `dataset.coco.json` file. For non-commercial and research purposes, the collection was created specifically for simplicity of use in pipeline evaluation and training. The COCO images dataset is licensed under a Creative Commons Attribution 4.0 License.
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  # Multilanguage Feature's Code and Sources
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- If you’re using any specific part of the dataset, we encourage to directly cite the original source of every language in this collection.
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  ## English `en`
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  ## Russian `ru`
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- Source: [AlexWortega/ru_COCO: Translated coco dataset with "facebook/wmt19-en-ru" model](https://github.com/AlexWortega/ru_COCO)
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- The captions are translated by using `facebook/wmt19-en-ru` model.
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  ## Japanese STAIR `jp-stair`
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- Source: [STAIR Captions](https://stair-lab-cit.github.io/STAIR-captions-web/)
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- The captions were translated from English to Japanese using machine translation.
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  ```
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  @InProceedings{Yoshikawa2017,
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  ## Japanese YJ `jp-yj`
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- Source: [yahoojapan/YJCaptions](https://github.com/yahoojapan/YJCaptions) by Yahoo Japan
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- Total captions of this Japanese version is around 26k captions.
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  ## Italian `it`
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- Source: [crux82/mscoco-it: A large scale dataset for Image Captioning in Italian](https://github.com/crux82/mscoco-it)
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- The captions were obtained through semi-automatic translation from English to Italian.
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  ## German `de`
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- Source: [Jotschi/coco-karpathy-opus-de · Datasets at Hugging Face](https://huggingface.co/datasets/Jotschi/coco-karpathy-opus-de)
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- The captions were translated by using [Helsinki-NLP/opus-mt-en-de · Hugging Face](https://huggingface.co/Helsinki-NLP/opus-mt-en-de) model.
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  ## Vietnamese `vi`
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- Source: [dinhanhx/coco-2017-vi · Datasets at Hugging Face](https://huggingface.co/datasets/dinhanhx/coco-2017-vi)
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- The captions were translated by VinAI from English to Vietnamese
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  ```
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  @software{dinhanhx_VisualRoBERTa_2022,
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  ## Chinese `cn`
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- Source: [li-xirong/coco-cn: Enriching MS-COCO with Chinese sentences and tags for cross-lingual multimedia tasks](https://github.com/li-xirong/coco-cn)
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- We selected only human generated dataset.
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  ## Arabic `ar`
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- Source: [canesee-project/Arabic-COCO: MS COCO captions in Arabic](https://github.com/canesee-project/Arabic-COCO)
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- The captions were fully translated with Google's Advanced Cloud Translation API.
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  ## Spanish `es`
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- Source: [carlosGarciaHe/MS-COCO-ES: MS-COCO-ES is a dataset created from the original MS-COCO dataset. This project aims to provide a small subset of the original image captions translated into Spanish by humans annotators. This subset is composed by 20,000 captions of 4,000 images.](https://github.com/carlosGarciaHe/MS-COCO-ES)
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- The captions were translated by human.
 
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  This dataset is a collection of multiple language open-source captions of [COCO](https://cocodataset.org/) dataset.
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+ This splits in this dataset is set according to [Andrej Karpathy's split](https://www.kaggle.com/datasets/shtvkumar/karpathy-splits) from `dataset.coco.json` file. The collection was created specifically for simplicity of use in training and evaluation pipeline by non-commercial and research purposes. The COCO images dataset is licensed under a Creative Commons Attribution 4.0 License.
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  # Multilanguage Feature's Code and Sources
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+ If you use any part of the dataset, we recommend that you directly cite the original source for each language in this collection.
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  ## English `en`
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  ## Russian `ru`
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+ Source: [AlexWortega/ru_COCO: Translated coco dataset with "facebook/wmt19-en-ru" model](https://github.com/AlexWortega/ru_COCO) <br> The captions are translated by using `facebook/wmt19-en-ru` model.
 
 
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  ## Japanese STAIR `jp-stair`
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+ Source: [STAIR Captions](https://stair-lab-cit.github.io/STAIR-captions-web/) <br> The captions were translated from English to Japanese using machine translation.
 
 
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  ```
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  @InProceedings{Yoshikawa2017,
 
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  ## Japanese YJ `jp-yj`
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+ Source: [yahoojapan/YJCaptions](https://github.com/yahoojapan/YJCaptions) by Yahoo Japan. <br> Total captions of this Japanese version is around 26k captions.
 
 
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  ## Italian `it`
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+ Source: [crux82/mscoco-it: A large scale dataset for Image Captioning in Italian](https://github.com/crux82/mscoco-it) <br> The captions were obtained through semi-automatic translation from English to Italian.
 
 
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  ## German `de`
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+ Source: [Jotschi/coco-karpathy-opus-de · Datasets at Hugging Face](https://huggingface.co/datasets/Jotschi/coco-karpathy-opus-de) <br> The captions were translated by using [Helsinki-NLP/opus-mt-en-de · Hugging Face](https://huggingface.co/Helsinki-NLP/opus-mt-en-de) model.
 
 
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  ## Vietnamese `vi`
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+ Source: [dinhanhx/coco-2017-vi · Datasets at Hugging Face](https://huggingface.co/datasets/dinhanhx/coco-2017-vi) <br> The captions were translated by VinAI from English to Vietnamese
 
 
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  ```
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  @software{dinhanhx_VisualRoBERTa_2022,
 
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  ## Chinese `cn`
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+ Source: [li-xirong/coco-cn: Enriching MS-COCO with Chinese sentences and tags for cross-lingual multimedia tasks](https://github.com/li-xirong/coco-cn) <br> We selected only human generated dataset.
 
 
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  ## Arabic `ar`
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+ Source: [canesee-project/Arabic-COCO: MS COCO captions in Arabic](https://github.com/canesee-project/Arabic-COCO) <br> The captions were fully translated with Google's Advanced Cloud Translation API.
 
 
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  ## Spanish `es`
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+ Source: [carlosGarciaHe/MS-COCO-ES: MS-COCO-ES is a dataset created from the original MS-COCO dataset. This project aims to provide a small subset of the original image captions translated into Spanish by humans annotators. This subset is composed by 20,000 captions of 4,000 images.](https://github.com/carlosGarciaHe/MS-COCO-ES) <br> The captions were translated by human.