dataset
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dataset_name
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qry_text
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1.57k
qry_image
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qry_video
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solution
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MMEB-V2-R1
A-OKVQA
Represent the given image with the following question: What room is beyond the countertops?
MMEB-train/images/A-OKVQA/Train/A-OKVQA_image_15012.jpg
[ "" ]
living room
[ "" ]
<embedding>
MMEB-V2-R1
A-OKVQA
Represent the given image with the following question: Why is he perfectly safe?
MMEB-train/images/A-OKVQA/Train/A-OKVQA_image_8391.jpg
[ "" ]
photo manipulation
[ "" ]
<embedding>
MMEB-V2-R1
A-OKVQA
Represent the given image with the following question: Why does the man at the back hold the driver?
MMEB-train/images/A-OKVQA/Train/A-OKVQA_image_9003.jpg
[ "" ]
for balance
[ "" ]
<embedding>
MMEB-V2-R1
ChartQA
Represent the given image with the following question: What was Germany's textile machinery industry's revenue in 2013?
MMEB-train/images/ChartQA/Train/ChartQA_image_10720.jpg
[ "" ]
1685
[ "" ]
<embedding>
MMEB-V2-R1
Visual7W
Represent the given image with the following question: How many train cars are there?
MMEB-train/images/Visual7W/Train/v7w_2396140.jpg
[ "" ]
Three.
[ "" ]
<embedding>
MMEB-V2-R1
OK-VQA
Represent the given image with the following question: Which type of wood is used to make this bench?
MMEB-train/images/OK-VQA/Train/OK-VQA_image_8203.jpg
[ "" ]
pine
[ "" ]
<embedding>
MMEB-V2-R1
Visual7W
Represent the given image with the following question: What number is on the jersey?
MMEB-train/images/Visual7W/Train/v7w_2393790.jpg
[ "" ]
22.
[ "" ]
<embedding>
MMEB-V2-R1
Visual7W
Represent the given image with the following question: Who is holding the bat?
MMEB-train/images/Visual7W/Train/v7w_2330698.jpg
[ "" ]
Kemp.
[ "" ]
<embedding>
MMEB-V2-R1
Visual7W
Represent the given image with the following question: Why is it all vegetarian?
MMEB-train/images/Visual7W/Train/v7w_2372841.jpg
[ "" ]
No meat tonight.
[ "" ]
<embedding>
MMEB-V2-R1
ChartQA
Represent the given image with the following question: How many ATMs were there between the first quarter of 2014 and the second quarter of 2016?
MMEB-train/images/ChartQA/Train/ChartQA_image_15393.jpg
[ "" ]
69603
[ "" ]
<embedding>
MMEB-V2-R1
Visual7W
Represent the given image with the following question: Where was the picture taken?
MMEB-train/images/Visual7W/Train/v7w_2393236.jpg
[ "" ]
On the street.
[ "" ]
<embedding>
MMEB-V2-R1
Visual7W
Represent the given image with the following question: Why are the man's knees bent?
MMEB-train/images/Visual7W/Train/v7w_2373023.jpg
[ "" ]
He is in position to hit the ball.
[ "" ]
<embedding>
MMEB-V2-R1
OK-VQA
Represent the given image with the following question: What airport is this?
MMEB-train/images/OK-VQA/Train/OK-VQA_image_8033.jpg
[ "" ]
jfk
[ "" ]
<embedding>
MMEB-V2-R1
A-OKVQA
Represent the given image with the following question: Why are the animals enclosed in one area?
MMEB-train/images/A-OKVQA/Train/A-OKVQA_image_12476.jpg
[ "" ]
to protect
[ "" ]
<embedding>
MMEB-V2-R1
Visual7W
Represent the given image with the following question: How many wheels does the skateboard have?
MMEB-train/images/Visual7W/Train/v7w_2400113.jpg
[ "" ]
Four.
[ "" ]
<embedding>
MMEB-V2-R1
Visual7W
Represent the given image with the following question: Where is the picture taken?
MMEB-train/images/Visual7W/Train/v7w_2396665.jpg
[ "" ]
In a zoo.
[ "" ]
<embedding>
MMEB-V2-R1
ChartQA
Represent the given image with the following question: By 2019, global emissions had reached a record high of what?
MMEB-train/images/ChartQA/Train/ChartQA_image_8755.jpg
[ "" ]
36.44
[ "" ]
<embedding>
MMEB-V2-R1
OK-VQA
Represent the given image with the following question: When was the object in this picture invented?
MMEB-train/images/OK-VQA/Train/OK-VQA_image_7306.jpg
[ "" ]
1948
[ "" ]
<embedding>
MMEB-V2-R1
Visual7W
Represent the given image with the following question: Where are the cars?
MMEB-train/images/Visual7W/Train/v7w_2383631.jpg
[ "" ]
In the lot.
[ "" ]
<embedding>
MMEB-V2-R1
Visual7W
Represent the given image with the following question: When was the photo taken?
MMEB-train/images/Visual7W/Train/v7w_2390258.jpg
[ "" ]
During take-off.
[ "" ]
<embedding>