Update README.md

README.md

@@ -8,6 +8,8 @@ language:
 - de
 - vi
 - zh
+- ar
+- es
 license: cc-by-2.0
 size_categories:
 - 100K<n<1M
@@ -49,13 +51,13 @@ dataset_info:
     num_bytes: 13852882321.001
     num_examples: 82783
   - name: val
-    num_bytes: 811780220.0
+    num_bytes: 811780220
     num_examples: 5000
   - name: restval
     num_bytes: 5123622277.68
     num_examples: 30504
   - name: test
-    num_bytes: 823623386.0
+    num_bytes: 823623386
     num_examples: 5000
   download_size: 20265033594
   dataset_size: 20611908204.681
@@ -71,3 +73,109 @@ configs:
   - split: test
     path: data/test-*
 ---
+
+# Multilingual Common Objects in Context (COCO) Dataset
+
+This dataset is a collection of multiple language open-source captions of the original [COCO](https://cocodataset.org/) dataset. 
+This splits in this dataset is set according to [Andrej Karpathy's split](https://www.kaggle.com/datasets/shtvkumar/karpathy-splits) by `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.
+
+# Multilanguage Feature's Code and Sources
+
+If you’re using any specific part of the dataset, we encourage to directly cite the original source of every language in this collection. 
+
+## English `es`
+
+English caption is retrieved from the original [COCO dataset repository](http://images.cocodataset.org/annotations/stuff_annotations_trainval2017.zip)’s annotation file.
+
+```
+@misc{lin2015microsoftcococommonobjects,
+      title={Microsoft COCO: Common Objects in Context}, 
+      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},
+      year={2015},
+      eprint={1405.0312},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/1405.0312}, 
+}
+```
+
+## Thai `th`
+
+Thai captions is 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]. The captions are translated from English to Thai using machine translation. 
+
+## Russian `ru`
+
+Source: [AlexWortega/ru_COCO: Translated coco dataset with "facebook/wmt19-en-ru" model](https://github.com/AlexWortega/ru_COCO)
+
+The captions are translated by using `facebook/wmt19-en-ru` model.
+
+## Japanese STAIR `jp-stair`
+
+Source: [STAIR Captions](https://stair-lab-cit.github.io/STAIR-captions-web/)
+
+The captions are translated from English to Japanese using machine translation. 
+
+```
+@InProceedings{Yoshikawa2017,
+  title     = {STAIR Captions: Constructing a Large-Scale Japanese Image Caption Dataset},
+  booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
+  month     = {July},
+  year      = {2017},
+  address   = {Vancouver, Canada},
+  publisher = {Association for Computational Linguistics},
+  pages     = {417--421},
+  url       = {http://aclweb.org/anthology/P17-2066}
+}
+```
+
+## Japanese YJ `jp-yj`
+
+Source: [yahoojapan/YJCaptions](https://github.com/yahoojapan/YJCaptions) by Yahoo Japan
+
+Total captions of this Japanese version is around 26k captions. 
+
+## Italian `it`
+
+Source: [crux82/mscoco-it: A large scale dataset for Image Captioning in Italian](https://github.com/crux82/mscoco-it)
+
+The captions is obtained through semi-automatic translation from English to Italian. 
+
+## German `de`
+
+Source: [Jotschi/coco-karpathy-opus-de · Datasets at Hugging Face](https://huggingface.co/datasets/Jotschi/coco-karpathy-opus-de)
+
+The captions are translated by using [Helsinki-NLP/opus-mt-en-de · Hugging Face](https://huggingface.co/Helsinki-NLP/opus-mt-en-de) model. 
+
+## Vietnamese `vi`
+
+Source: [dinhanhx/coco-2017-vi · Datasets at Hugging Face](https://huggingface.co/datasets/dinhanhx/coco-2017-vi) 
+
+The captions were translated by VinAI from English to Vietnamese
+
+```
+@software{dinhanhx_VisualRoBERTa_2022,
+	title        = {{VisualRoBERTa}},
+	author       = {dinhanhx},
+	year         = 2022,
+	month        = 9,
+	url          = {https://github.com/dinhanhx/VisualRoBERTa}
+}
+```
+
+## Chinese `cn`
+
+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)
+
+We selected only human generated dataset. 
+
+## Arabic `ar`
+
+Source: [canesee-project/Arabic-COCO: MS COCO captions in Arabic](https://github.com/canesee-project/Arabic-COCO)
+
+The captions are fully translated with Google's Advanced Cloud Translation API.
+
+## Spanish `es`
+
+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)
+
+The captions are translated by human.