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hf://datasets/dinhanhx/coco-2017-vi/vi/uitviic_captions_train2017.json (at revision 9fba6886f8d4af31c8d7ccd4103988ee6c490de5)
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info
dict | licenses
list | images
list | annotations
list |
---|---|---|---|
{"description":"COCO 2017 Dataset","url":"http://cocodataset.org","version":"1.0","year":2017,"contr(...TRUNCATED) | [{"url":"http://creativecommons.org/licenses/by-nc-sa/2.0/","id":1,"name":"Attribution-NonCommercial(...TRUNCATED) | [{"license":3,"file_name":"000000391895.jpg","coco_url":"http://images.cocodataset.org/train2017/000(...TRUNCATED) | [{"image_id":203564,"id":37,"caption":"A bicycle replica with a clock as the front wheel."},{"image_(...TRUNCATED) |
{"description":"COCO 2017 Dataset","url":"http://cocodataset.org","version":"1.0","year":2017,"contr(...TRUNCATED) | [{"url":"http://creativecommons.org/licenses/by-nc-sa/2.0/","id":1,"name":"Attribution-NonCommercial(...TRUNCATED) | [{"license":3,"file_name":"000000391895.jpg","coco_url":"http://images.cocodataset.org/train2017/000(...TRUNCATED) | [{"image_id":203564,"id":37,"caption":"Một bản sao xe đạp với một chiếc đồng hồ l(...TRUNCATED) |
{"description":"COCO 2017 Dataset","url":"http://cocodataset.org","version":"1.0","year":2017,"contr(...TRUNCATED) | [{"url":"http://creativecommons.org/licenses/by-nc-sa/2.0/","id":1,"name":"Attribution-NonCommercial(...TRUNCATED) | [{"license":3,"file_name":"000000391895.jpg","coco_url":"http://images.cocodataset.org/train2017/000(...TRUNCATED) | [{"image_id":203564,"id":37,"caption":"Một bản sao xe đạp với một chiếc đồng hồ l(...TRUNCATED) |
null | null | [{"license":2,"file_name":"000000535668.jpg","coco_url":"http://images.cocodataset.org/train2017/000(...TRUNCATED) | [{"image_id":157656,"caption":"Người đàn ông đang đánh tennis ngoài sân.","id":4990},{"im(...TRUNCATED) |
COCO 2017 image captions in Vietnamese
The dataset is firstly introduced in dinhanhx/VisualRoBERTa. I use VinAI tools to translate COCO 2027 image caption (2017 Train/Val annotations) from English to Vietnamese. Then we merge UIT-ViIC dataset into it. To load the dataset, one can take a look at this code in VisualRoBERTa or this code in Velvet.
I provide both English original and Vietnamese version (including UIT-ViIC).
⚠ Note:
- UIT-ViIC splits are originated from
en/captions_train2017.json
. Therefore, I combine all UIT-ViIC splits then I merge intovi/captions_train2017_trans.json
. As a result, I getcaptions_train2017_trans_plus.json
. vi/captions_train2017_trans.json
andvi/captions_val2017_trans.json
are VinAI-translated from the ones inen/
.
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