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--- |
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language: |
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- en |
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- th |
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- ru |
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- ja |
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- it |
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- de |
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- vi |
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- zh |
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- ar |
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- es |
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license: cc-by-4.0 |
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size_categories: |
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- 100K<n<1M |
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task_categories: |
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- image-to-text |
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pretty_name: multilingual-coco |
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dataset_info: |
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features: |
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- name: cocoid |
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dtype: int64 |
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- name: filename |
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dtype: string |
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- name: en |
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sequence: string |
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- name: th |
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sequence: string |
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- name: ru |
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sequence: string |
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- name: jp-stair |
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sequence: string |
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- name: it |
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sequence: string |
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- name: de |
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sequence: string |
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- name: vi |
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sequence: string |
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- name: cn |
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sequence: string |
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- name: jp-yj |
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sequence: string |
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- name: ar |
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sequence: string |
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- name: es |
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sequence: string |
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- name: image |
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dtype: image |
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splits: |
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- name: train |
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num_bytes: 13852882321.001 |
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num_examples: 82783 |
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- name: val |
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num_bytes: 811780220 |
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num_examples: 5000 |
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- name: restval |
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num_bytes: 5123622277.68 |
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num_examples: 30504 |
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- name: test |
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num_bytes: 823623386 |
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num_examples: 5000 |
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download_size: 20265033594 |
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dataset_size: 20611908204.681 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: val |
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path: data/val-* |
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- split: restval |
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path: data/restval-* |
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- split: test |
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path: data/test-* |
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--- |
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|
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# Multilingual Common Objects in Context (COCO) Dataset |
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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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The split 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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English caption is retrieved from the original [COCO dataset repository](http://images.cocodataset.org/annotations/stuff_annotations_trainval2017.zip)’s annotation file. |
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``` |
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@misc{lin2015microsoftcococommonobjects, |
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title={Microsoft COCO: Common Objects in Context}, |
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author={Tsung-Yi Lin and Michael Maire and Serge Belongie and Lubomir Bourdev and Ross Girshick and James Hays and Pietro Perona and Deva Ramanan and C. Lawrence Zitnick and Piotr Dollár}, |
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year={2015}, |
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eprint={1405.0312}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CV}, |
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url={https://arxiv.org/abs/1405.0312}, |
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} |
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``` |
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## Thai `th` |
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Thai captions were a part of Romrawin Chumpu’s work at NECTEC. This work is partially supported by the Program Management Unit for Human Resources & Institutional Development, Research and Innovation (PMU-B) [Grant number B04G640107]. <br> The captions were translated from English to Thai using google translate API. |
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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 were 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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title = {STAIR Captions: Constructing a Large-Scale Japanese Image Caption Dataset}, |
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booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)}, |
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month = {July}, |
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year = {2017}, |
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address = {Vancouver, Canada}, |
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publisher = {Association for Computational Linguistics}, |
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pages = {417--421}, |
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url = {http://aclweb.org/anthology/P17-2066} |
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} |
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``` |
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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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title = {{VisualRoBERTa}}, |
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author = {dinhanhx}, |
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year = 2022, |
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month = 9, |
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url = {https://github.com/dinhanhx/VisualRoBERTa} |
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} |
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``` |
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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. |
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