Datasets:
BAAI
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ROME

Dataset card Data Studio Files
xet
Community
2
task_category
stringclasses
8 values
question_id
stringlengths
14
23
question
stringlengths
11
975
img_paths
stringlengths
20
110
reference
stringlengths
1
310
question_type
stringclasses
3 values
evaluator
stringclasses
5 values
evaluator_kwargs
stringlengths
14
221
meta_info
stringlengths
2
396
image_0
imagewidth (px)
136
3.71k
image_1
imagewidth (px)
600
2.87k
⌀
image_2
imagewidth (px)
1.01k
2.75k
⌀
image_3
imagewidth (px)
1.01k
2.8k
⌀
image_4
imagewidth (px)
986
2.61k
⌀
multi
question_multi_1
Arrange these video frames in chronological order: A: <image 1> B: <image 2> C: <image 3> D: <image 4>
["img/multi/1-A.jpg", "img/multi/1-B.jpg", "img/multi/1-C.jpg", "img/multi/1-D.jpg"]
C, D, A, B
open
ordered_list_matching
{"order": ["C", "D", "A", "B"]}
{"source": "self-collected"}
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multi
question_multi_2
Here are a few frames from a video about the construction of Notre Dame. Arrange them in chronological order: A: <image 1> B: <image 2> C: <image 3> D: <image 4> E: <image 5>
["img/multi/2-A.png", "img/multi/2-B.png", "img/multi/2-C.png", "img/multi/2-D.png", "img/multi/2-E.png"]
D, B, E, C, A
open
ordered_list_matching
{"order": ["D", "B", "E", "C", "A"]}
{}
multi
question_multi_3
Arrange these video frames in chronological order: A: <image 1> B: <image 2> C: <image 3> D: <image 4>
["img/multi/3-A.png", "img/multi/3-B.png", "img/multi/3-C.png", "img/multi/3-D.png"]
D, B, A, C
open
ordered_list_matching
{"order": ["D", "B", "A", "C"]}
{"source": "https://www.conservation.org/singapore/virtual-learning/ocean-conservation-series/episode-4-coral-reefs?ytVideoId=bHO-z-1xJDY", "uploader": "Conservation International Foundation", "license": "https://www.conservation.org/about/our-policies/terms"}
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multi
question_multi_4
Arrange these video frames in chronological order: A: <image 1> B: <image 2> C: <image 3> D: <image 4>
["img/multi/4-A.jpg", "img/multi/4-B.jpg", "img/multi/4-C.jpg", "img/multi/4-D.jpg"]
C, A, D, B
open
ordered_list_matching
{"order": ["C", "A", "D", "B"]}
{}
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multi
question_multi_5
Find the differences between the two images. <image 1> <image 2>
["img/multi/5-1.jpg", "img/multi/5-2.jpg"]
direction of the duck's head
open
key_items_matching
{"key_items": [["duck", "bird"], ["head", "direction"]]}
{"source": "self-collected"}
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multi
question_multi_6
Find the differences between the two images. <image 1> <image 2>
["img/multi/6-1.jpg", "img/multi/6-2.jpg"]
position of the people, position of the car
open
key_items_matching
{"key_items": [["people", "pedestrians"], ["car", "automobile", "vehicle"]]}
{"source": "self-collected"}
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multi
question_multi_7
Which photo is taken first between the two? In which direction is the camera moving? <image 1> <image 2>
["img/multi/7-1.jpg", "img/multi/7-2.jpg"]
This is an image taken in Bedford, England (drives on the left)
multiple-choice
choices_matching
{"label": "D"}
{"source": ["https://commons.wikimedia.org/wiki/File:Aldi_on_Ampthill_Road,_Bedford_-_geograph.org.uk_-_7655325.jpg", "https://commons.wikimedia.org/wiki/File:Aldi_on_Ampthill_Road,_Bedford_-_geograph.org.uk_-_7655324.jpg"], "uploader": "GeographBot", "license": "https://creativecommons.org/licenses/by-sa/2.0/deed.en"}
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multi
question_multi_8
Find the differences between the two images. Ignore the difference in the distance between the camera and the objects and the slight difference in the direction of the camera. <image 1> <image 2>
["img/multi/8-1.jpg", "img/multi/8-2.jpg"]
position of the orange, position of the cup, the remaining tea in the cup
open
key_items_matching
{"key_items": [["orange", "tangerin", "dekopon", "ponkan", "pagan", "satsuma"], ["glass"], ["tea", "liquid"]]}
{"source": "self-collected"}
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multi
question_multi_9
From the first image to the second one, list all the types of white pieces that have been moved or captured (e.g., pawn). Do not mention irrelevant pieces. <image 1> <image 2>
["img/multi/9-1.png", "img/multi/9-2.png"]
kight, king, pawn
open
key_items_matching
{"key_items": [["knight"], ["king"], ["pawn"]]}
{"source": "https://lichess.org/VfHwkqpx"}
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multi
question_multi_10
Which points in the second image best correspond to 1-6 in the first image? <image 1> <image 2>
["img/multi/10-1.png", "img/multi/10-2.jpg"]
1-G, 2-A, 3-C, 4-D, 5-B, 6-H
open
ordered_list_matching
{"order": ["G", "A", "C", "D", "B", "H"]}
{"source": "https://en.wikipedia.org/wiki/File:The_Earth_seen_from_Apollo_17.jpg", "uploader": "Huntster", "license": "https://en.wikipedia.org/wiki/public_domain"}
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multi
question_multi_11
Arrange these video frames in chronological order: A: <image 1> B: <image 2> C: <image 3> D: <image 4> E: <image 5>
["img/multi/11-1.jpg", "img/multi/11-2.jpg", "img/multi/11-3.jpg", "img/multi/11-4.jpg", "img/multi/11-5.jpg"]
11-1.jpg, 11-5.jpg, 11-3.jpg, 11-4.jpg, 11-2.jpg
open
ordered_list_matching
{"order": ["A", "E", "C", "D", "B"]}
{}
multi
question_multi_12
Arrange these video frames in chronological order: A: <image 1> B: <image 2> C: <image 3> D: <image 4>
["img/multi/12-1.jpg", "img/multi/12-2.jpg", "img/multi/12-3.jpg", "img/multi/12-4.jpg"]
12-2.jpg, 12-1.jpg, 12-4.jpg, 12-3.jpg
open
ordered_list_matching
{"order": ["B", "A", "D", "C"]}
{}
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multi
question_multi_13
Arrange these video frames in chronological order: A: <image 1> B: <image 2> C: <image 3> D: <image 4> E: <image 5>
["img/multi/13-1.jpg", "img/multi/13-2.jpg", "img/multi/13-3.jpg", "img/multi/13-4.jpg", "img/multi/13-5.jpg"]
13-2.jpg, 13-3.jpg, 13-1.jpg, 13-4.jpg, 13-5.jpg
open
ordered_list_matching
{"order": ["B", "C", "A", "D", "E"]}
{}
multi
question_multi_14
Arrange these video frames in chronological order: A: <image 1> B: <image 2> C: <image 3> D: <image 4> E: <image 5>
["img/multi/14-1.jpg", "img/multi/14-2.jpg", "img/multi/14-3.jpg", "img/multi/14-4.jpg", "img/multi/14-5.jpg"]
14-3.jpg, 14-2.jpg, 14-1.jpg, 14-4.jpg, 14-5.jpg (one can tell that this is a packing process)
open
ordered_list_matching
{"order": ["C", "B", "A", "D", "E"]}
{}
multi
question_multi_15
Find the differences between the two images. <image 1> <image 2>
["img/multi/15-1.jpg", "img/multi/15-2.jpg"]
frog on lily pad, extra flowers in the reeds, eye style of the duck
open
key_items_matching
{"key_items": [["frog"], ["flowers"], ["eye"]]}
{}
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multi
question_multi_16
Find the small differences between the two images. Do not mention anything else. <image 1> <image 2>
["img/multi/16-1.jpg", "img/multi/16-2.jpg"]
tongue of the top ladybug, missing spot on bottom ladybug, leaf missing from flower branch
open
key_items_matching
{"key_items": [["tongue", "mouth"], ["spot"], ["leaf", "branch"]]}
{}
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multi
question_multi_17
Cilantros have been added on how many places on the plate as one may spot from the difference in two images? <image 1> <image 2>
["img/multi/17-1.jpg", "img/multi/17-2.jpg"]
3 (two top + one bottom)
open
number_matching
{"value_to_match": 3}
{}
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multi
question_multi_18
How exactly was the scene in the second image changed from the first? Ignore the difference in the mouse pointer and the game character. <image 1> <image 2>
["img/multi/18-1.jpg", "img/multi/18-2.jpg"]
the soil is watered, one tree has been cut down, some grass appears, one stone disappears
open
key_items_matching
{"key_items": [["soil", "watered", "wet"], ["tree", "cut", "chop"], ["grass", "plant"], ["stone", "rock"]]}
{}
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multi
question_multi_19
Which object(s) quantitatively differ in the two images? Do not mention anything else. <image 1> <image 2>
["img/multi/19-1.jpg", "img/multi/19-2.jpg"]
direction of the bottle, position of the mouse, the battery disappears
open
key_items_matching
{"key_items": [["battery"]]}
{"source": "self-collected"}
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multi
question_multi_20
Find the difference(s) between the two images. Do not mention anything else.
["img/multi/20.png"]
numbering & the bell
open
key_items_matching
{"key_items": [["bell"], ["number", "label", "3"]]}
{"source": "self-collected"}
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multi
question_multi_21
Which of these two pictures shows the country Tajikistan? <image 1> <image 2>
["img/multi/21-1.png", "img/multi/21-2.png"]
Neither
multiple-choice
choices_matching
{"label": "D"}
{"source": "self-collected"}
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multi
question_multi_22
The following two images differ in which aspect(s)? <image 1> <image 2>
["img/multi/22-1.jpg", "img/multi/22-2.jpg"]
Sports Equipment
multiple-choice
choices_matching
{"label": "BCDE"}
{"source": "https://www.yonex.cn/home/index/mall/id/2"}
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multi
question_multi_23
How many penguins have been shown in the two frames in total? <image 1> <image 2>
["img/multi/23-1.png", "img/multi/23-2.png"]
5
open
number_matching
{"value_to_match": 5}
{"source": "https://www.bilibili.com/video/BV1XfGhz4Ekh/"}
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multi
question_multi_24
Name the changes in the starting line-up of France in the two games. Do not mention any other unchanged players. <image 1> <image 2>
["img/multi/24-1.png", "img/multi/24-2.png"]
Rabiot, Camavinga, Thuram, Kolo Muani
open
key_items_matching
{"key_items": [["Rabiot"], ["Camavinga"], ["Thuram"], ["Kolo Muani"]]}
{"source": "https://en.wikipedia.org/wiki/UEFA_Euro_2024_knockout_stage", "uploader": "ChillGaming", "license": "https://creativecommons.org/licenses/by-sa/4.0"}
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multi
question_multi_25
How many differences are there in the two images in total? <image 1> <image 2>
["img/multi/25-1.png", "img/multi/25-2.png"]
3 (glasses, hair, the rightmost girl)
open
number_matching
{"value_to_match": 3}
{"source": "https://www.bilibili.com/video/BV1XfGhz4Ekh/"}
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multi
question_multi_26
What makes the bottom tree different from the upper in terms of branching?
["img/multi/26.png"]
binary branching
open
key_items_matching
{"key_items": [["binary"]]}
{"source": "self-collected"}
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multi
question_multi_27
Which object(s) quantitatively differ in the two images? Do not mention anything else. <image 1> <image 2>
["img/multi/27-1.jpg", "img/multi/27-2.jpg"]
one more earbud
open
key_items_matching
{"key_items": [["earbud", "airpod", "headphone"]]}
{"source": "self-collected"}
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multi
question_multi_28
Arrange in chronological order: A: <image 1> B: <image 2> C: <image 3>
["img/multi/28-1.jpg", "img/multi/28-2.jpg", "img/multi/28-3.jpg"]
B, A, C
open
ordered_list_matching
{"order": ["B", "A", "C"]}
{"source": "self-collected"}
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multi
question_multi_29
Here are a few frames from a video. Arrange them in chronological order: A: <image 1> B: <image 2> C: <image 3>
["img/multi/29-1.jpg", "img/multi/29-2.jpg", "img/multi/29-3.jpg"]
C, A, B
open
ordered_list_matching
{"order": ["C", "A", "B"]}
{"source": "self-collected"}
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multi
question_multi_30
What have been ordered in both meals? Do not mention those that only appear in one of them. <image 1> <image 2>
["img/multi/30-1.jpg", "img/multi/30-2.jpg"]
soy juice/milk and fried chicken
open
key_items_matching
{"key_items": [["soy", "juice", "milk", "drink"], ["fried", "chicken", "karaage"]]}
{"source": "self-collected"}
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memes
question_memes_1
Explain this image.
["img/memes/memes_1.jpg"]
All the elements together spell as 'sarcasm'.
open
key_items_matching
{"key_items": [["sarcasm"]]}
{"source": "https://printerval.com/sarcasm-the-elements-of-humor-periodic-table-white-letters-colors-p42380394", "uploader": "Worldwide Ddene", "license": "https://creativecommons.org/licenses/by-nc/4.0/"}
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memes
question_memes_2
Explain this image.
["img/memes/memes_2.jpg"]
When you flip "3.14" backwards (as if in a mirror) it looks like "PIE".
open
key_items_matching
{"key_items": [["flip", "backward", "mirror"], ["PIE"]]}
{"source": "https://www.digitalmomblog.com/best-pi-day-memes/", "uploader": "Digital Molly", "license": "https://creativecommons.org/licenses/by/4.0/"}
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memes
question_memes_3
Explain the meme.
["img/memes/memes_3.jpg"]
inserting a 'pi' in 'onion' leads to 'opinion'
open
key_items_matching
{"key_items": [["onion"], ["pi"], ["opinion"]]}
{"source": "https://www.flickr.com/photos/tjhief/4726436009", "uploader": "Tjhief", "license": "https://creativecommons.org/licenses/by-nc-nd/2.0/"}
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memes
question_memes_4
Explain the meme.
["img/memes/memes_4.jpg"]
'I' plus 'phone' equals 'iPhone', and 'you' plus 'tube' equals 'YouTube'
open
key_items_matching
{"key_items": [["I"], ["phone"], ["iPhone"], ["you"], ["tube"], ["YouTube"]]}
{}
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memes
question_memes_5
Explain the meme.
["img/memes/memes_5.jpg"]
Chocolate and milk are shaking hands, so this is a chocolate milk shake.
open
key_items_matching
{"key_items": [["chocolate"], ["milk"], ["shake"]]}
{}
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memes
question_memes_6
Explain this image.
["img/memes/memes_6.png"]
A USB stick designed to look like a bee—playing on the term 'USB' sounding like 'U S Bee'.
open
key_items_matching
{"key_items": [["USB"], ["bee"]]}
{"source": "https://digitalsynopsis.com/design/punny-pixels-illustrated-puns-visual-wordplay/", "uploader": "Eunice Ng", "license": ""}
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memes
question_memes_7
Explain this image.
["img/memes/memes_7.png"]
A Nintendo Wii styled with French stereotypes to turn 'Wii' into the French word 'Oui'.
open
key_items_matching
{"key_items": [["Wii"], ["Oui"], ["French"]]}
{"source": "https://digitalsynopsis.com/design/punny-pixels-illustrated-puns-visual-wordplay/", "uploader": "Eunice Ng ", "license": ""}
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memes
question_memes_8
Explain the meme.
["img/memes/memes_8.jpg"]
in math, square root -1 is i, the cube of 2 is 8 which sounds like 'ate', Sigma means sum which sounds like 'some', so the answer is 'I ate some pie'.
open
key_items_matching
{"key_items": [["I"], ["ate"], ["some"], ["pie"]]}
{}
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memes
question_memes_9
Explain this image.
["img/memes/memes_9.png"]
A pun combining 'tea' (illustrated by the cup) and the word 'terrific', forming 'tea-rrific'.
open
key_items_matching
{"key_items": [["tea"], ["terrific"]]}
{"source": "https://imgur.com/gallery/chuckles-sensibly-hT8mZ#/t/visual_pun", "uploader": "tnee16", "license": ""}
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memes
question_memes_10
Explain the meme.
["img/memes/memes_10.jpg"]
the iMac is showing a picture of cheese, and mac can also mean macaroni.
open
key_items_matching
{"key_items": [["macaroni"], ["iMac"]]}
{}
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memes
question_memes_11
Explain this image.
["img/memes/memes_11.png"]
A clock with wings flying in the sky visually represents the phrase 'time flies'.
open
key_items_matching
{"key_items": [["time flies"]]}
{"source": "https://mrscoxclass.info/graphics/graphicsi/visual-pun/", "uploader": "Unknown", "license": ""}
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memes
question_memes_12
Explain the meme.
["img/memes/memes_12.jpg"]
'u' is needed to complete the crossword puzzle, so the answer is 'you complete me'.
open
key_items_matching
{"key_items": ["you complete me"]}
{}
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memes
question_memes_13
Explain the meme.
["img/memes/memes_13.jpg"]
a 'J' shaped peg means 'jpeg'.
open
key_items_matching
{"key_items": ["jpeg"]}
{}
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memes
question_memes_14
Explain this image.
["img/memes/memes_14.png"]
A burger with a crown on top is a pun on the term 'Burger King'.
open
key_items_matching
{"key_items": [["burger king"]]}
{"source": "https://thesunnyartroom.blogspot.com/2014/02/visual-puns.html", "uploader": "Phil Jones", "license": ""}
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memes
question_memes_15
Explain the meme.
["img/memes/memes_15.jpg"]
'Fanta' plus a stick means 'fantastic'.
open
key_items_matching
{"key_items": [["fantastic"], ["stick"], ["Fanta"]]}
{}
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memes
question_memes_16
Explain the meme.
["img/memes/memes_16.jpg"]
the van is painted with Van Gogh's painting 'Starry Night'.
open
key_items_matching
{"key_items": [["Van Gogh"], ["Starry Night"], ["van"]]}
{}
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memes
question_memes_17
Explain the meme.
["img/memes/memes_17.jpg"]
Using mandarins to form 'Hi' "in Mandarin".
open
key_items_matching
{"key_items": [["mandarins"], ["Hi"], ["in Mandarin"]]}
{"source": "https://www.facebook.com/manopausemen/posts/im-just-a-linguist-reallycheck-out-manopausecom-for-moremanopause-manopausememe-/3208420479434647/"}
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memes
question_memes_18
Explain the meme.
["img/memes/memes_18.jpg"]
A complete lemon is 'lem' + 'on', a peeled lemon is 'lem' + 'off', and a lemon running into a door is 'lem' + 'in', which sounds like 'let me in'.
open
key_items_matching
{"key_items": [["lemon"], ["on"], ["off"], ["let me in"]]}
{}
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memes
question_memes_19
Explain this image.
["img/memes/memes_19.png"]
Visual pun combining 'William', a pear, and the idea of 'shaking' the pear – forming the pun 'William Shakes-pear'.
open
key_items_matching
{"key_items": [["shakes-pear", "shakes pear"]]}
{"source": "https://thunderdungeon.com/2024/04/24/punny-memes/", "uploader": "Unknown", "license": ""}
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memes
question_memes_20
Explain this image.
["img/memes/memes_20.jpg"]
A visual pun combining a chicken, a flower pot, and the pi symbol to form 'chicken pot pie'.
open
key_items_matching
{"key_items": [["chicken pot pie"]]}
{"source": "https://www.facebook.com/WowSoPunny/posts/chicken-pot-pie/2112204562128935/"}
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memes
question_memes_21
Explain this meme.
["img/memes/memes_21.jpg"]
The chords along with the initial P form the word 'PEACE'.
open
key_items_matching
{"key_items": [["Peace"]]}
{"source": "https://www.amazon.com/Guitar-Chord-Tab-Peace-T-Shirt/dp/B09N1DZ6PG"}
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memes
question_memes_22
Explain this meme.
["img/memes/memes_22.jpg"]
The chords form the word 'DEAD'.
open
key_items_matching
{"key_items": [["dead"]]}
{"source": "https://easterndriveink.com/product/grateful-dead-chords-t-shirt/"}
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memes
question_memes_23
What does this mean?
["img/memes/memes_23.jpg"]
The lyrics of Never Gonna Give You Up (known as "Ricky Roll").
open
key_items_matching
{"key_items": [["Never Gonna Give You Up"]]}
{"source": "https://printerval.com/never-gonna-give-you-up-rick-roll-eye-chart-t-shirt-p3915398", "uploader": "Okechukwu Umerah", "license": "https://creativecommons.org/licenses/by-nc/4.0/"}
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memes
question_memes_24
Explain the meme.
["img/memes/memes_24.jpg"]
Fez -> "Fezn't" (pheasant)
open
key_items_matching
{"key_items": [["fez"], ["pheasant"], ["fezn't", "fez not", "feznt", "fez-n't"]]}
{"source": "https://printerval.com/never-gonna-give-you-up-rick-roll-eye-chart-t-shirt-p3915398"}
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memes
question_memes_25
What's the message written in this meme?
["img/memes/memes_25.jpg"]
life is like a box of chocolate.
open
key_items_matching
{"key_items": [["life is like a box of chocolate"]]}
{"source": "https://imgflip.com/i/6ojiim"}
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memes
question_memes_26
What's the message written in this meme?
["img/memes/memes_26.jpg"]
Going back to the drawing board. (Gowing back too-the drawing bored)
open
key_items_matching
{"key_items": [["Going back to the drawing board"]]}
{"source": "https://imgflip.com/i/6owvmg"}
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memes
question_memes_27
What's the hidden message (word) in this meme?
["img/memes/memes_27.png"]
influencer
open
key_items_matching
{"key_items": [["influencer"]]}
{"source": "https://www.youtube.com/watch?v=ofc3UP7hmLc"}
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memes
question_memes_28
What's the hidden message (word) in this meme?
["img/memes/memes_28.png"]
dolphin
open
key_items_matching
{"key_items": [["dolphin"]]}
{"source": "https://www.tapswapcoin.com/zoo-riddle-of-the-day/"}
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memes
question_memes_29
What's the hidden message (word) in this meme?
["img/memes/memes_29.jpg"]
pollution
open
key_items_matching
{"key_items": [["pollution"]]}
{"source": "https://www.vecteezy.com/vector-art/23582964-rebus-puzzles-for-kids-creative-brain-teasers-and-picture-puzzles-to-exercise-a-kid-s-brain-worksheet-answer-garbage-pollution-recycle-and-reuse"}
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memes
question_memes_30
What's the hidden message (word) in this meme?
["img/memes/memes_30.png"]
Madagascar
open
key_items_matching
{"key_items": [["Madagascar"]]}
{"source": "https://www.etsy.com/listing/1370105914/geography-rebus-puzzles-brain-teaser-pdf"}
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geo
question_geo_1
Guess the location.
["img/geo/geo_location_0001.png"]
Luxembourg Gardens
open
location_matching
{"location_fine_grained": ["Luxembourg Gardens", "Jardin du Luxembourg"], "location_coarse_grained": ["Paris"]}
{"source": "self-collected"}
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geo
question_geo_2
Guess the location.
["img/geo/geo_location_0002.png"]
Osaka
open
location_matching
{"location_fine_grained": ["Osaka"]}
{"source": "self-collected"}
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geo
question_geo_3
Guess the location.
["img/geo/geo_location_0003.jpg"]
La Serena, Chile
open
location_matching
{"location_fine_grained": ["La Serena"], "location_coarse_grained": ["Chile"]}
{"source": "https://www.flickr.com/photos/armandolobos/54345111025/", "uploader": "alobos life", "license": "https://creativecommons.org/licenses/by-nc/2.0/"}
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geo
question_geo_4
Guess the location.
["img/geo/geo_location_0004.jpg"]
Udo (Korean: 우도; Hanja: 牛島; lit. Cow Island), an island in Jeju Province, South Korea
open
location_matching
{"location_fine_grained": ["Udo", "Cow Island"], "location_coarse_grained": ["Jeju"]}
{"source": "https://www.goodfon.com/landscapes/wallpaper-evgeni-fabis-italiia-sitsiliia-ostrov-more-skaly-doma-lodki.html", "uploader": "PETR0S", "license": "https://creativecommons.org/licenses/by-nc/4.0/"}
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geo
question_geo_5
Guess the location.
["img/geo/geo_location_0009.png"]
Universidad de Malmö
open
location_matching
{"location_fine_grained": ["Malm\u00f6", "Malmo"], "location_coarse_grained": ["Sweden"]}
{"source": "https://www.flickr.com/photos/deusto/54518654656"}
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geo
question_geo_6
Guess the location.
["img/geo/geo_location_0010.png"]
Tsinghua University
open
location_matching
{"location_fine_grained": ["Tsinghua University"], "location_coarse_grained": ["Beijing"]}
{"source": "self-collected"}
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geo
question_geo_7
Guess the location.
["img/geo/geo_location_0011.png"]
Wuhan University
open
location_matching
{"location_fine_grained": ["Wuhan University"], "location_coarse_grained": ["Hubei", "Central China"]}
{"source": "self-collected"}
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geo
question_geo_8
Guess the location.
["img/geo/geo_location_0016.png"]
Ping An Finance Centre, Shenzhen
open
location_matching
{"location_fine_grained": ["Shenzhen"], "location_coarse_grained": ["Guangdong"]}
{"source": "self-collected"}
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geo
question_geo_9
Guess the location.
["img/geo/geo_location_0017.png"]
Bryce Canyon
open
location_matching
{"location_fine_grained": ["Bryce Canyon"], "location_coarse_grained": ["United States", "USA"]}
{"source": "self-collected"}
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geo
question_geo_10
Guess the location.
["img/geo/geo_location_0020.png"]
Rio de Janeiro, Brazil
open
location_matching
{"location_fine_grained": ["Rio de Janeiro"], "location_coarse_grained": ["Brazil"]}
{"source": "https://www.flickr.com/photos/rdes/31350621670/"}
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geo
question_geo_11
Guess the location.
["img/geo/geo_location_0021.png"]
Harbin, Heilongjiang
open
location_matching
{"location_fine_grained": ["Harbin"], "location_coarse_grained": ["Heilongjiang"]}
{"source": "self-collected"}
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geo
question_geo_12
Guess the location.
["img/geo/geo_location_0023.png"]
Melbourne, Australia
open
location_matching
{"location_fine_grained": ["Melbourne"], "location_coarse_grained": ["Australia"]}
{"source": "https://www.flickr.com/photos/dullhunk/462737831/", "uploader": "Dunk", "license": "https://creativecommons.org/licenses/by-nc-sa/2.0/"}
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geo
question_geo_13
Guess the location.
["img/geo/geo_location_0024.png"]
Nara, Japan
open
location_matching
{"location_fine_grained": ["Nara"], "location_coarse_grained": ["Japan"]}
{"source": "self-collected"}
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geo
question_geo_14
Guess the location.
["img/geo/geo_location_0025.png"]
Beppu, Japan
open
location_matching
{"location_fine_grained": ["Beppu"], "location_coarse_grained": ["Japan"]}
{"source": "self-collected"}
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geo
question_geo_15
Guess the location.
["img/geo/geo_location_0026.png"]
Naha, Okinawa
open
location_matching
{"location_fine_grained": ["Okinawa", "Naha"]}
{"source": "self-collected"}
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geo
question_geo_16
Guess the location.
["img/geo/geo_location_0027.png"]
Kyoto, Japan
open
location_matching
{"location_fine_grained": ["Kyoto"], "location_coarse_grained": ["Japan"]}
{"source": "self-collected"}
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geo
question_geo_17
Guess the location.
["img/geo/geo_location_0028.png"]
Xishuangbanna, Yunnan
open
location_matching
{"location_fine_grained": ["Banna", "Xishuangbanna"], "location_coarse_grained": ["Yunnan"]}
{"source": "self-collected"}
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geo
question_geo_18
Guess the location.
["img/geo/geo_location_0029.png"]
Kinmen
open
location_matching
{"location_fine_grained": ["Kinmen", "Jinmen"], "location_coarse_grained": ["Fujian", "Taiwan"]}
{"source": "https://cyberisland.teldap.tw/P/qxVoxXvwKDQ", "uploader": "\u9673\u65fa\u5c55CHEN\uff0cWANG-CHAN", "license": "https://creativecommons.org/licenses/by-nc-sa/3.0/tw/"}
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geo
question_geo_19
Guess the location.
["img/geo/geo_location_0030.png"]
Kumamoto, Japan
open
location_matching
{"location_fine_grained": ["Kumamoto"], "location_coarse_grained": ["Japan"]}
{"source": "self-collected"}
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geo
question_geo_20
Guess the location.
["img/geo/geo_location_0031.png"]
Tokyo Disney Resort
open
location_matching
{"location_fine_grained": ["Tokyo Disney"], "location_coarse_grained": ["Tokyo"]}
{"source": "self-collected"}
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geo
question_geo_21
Guess the location.
["img/geo/geo_location_0032.png"]
Kinmen, Taiwan
open
location_matching
{"location_fine_grained": ["Kinmen", "Jinmen"], "location_coarse_grained": ["Fujian", "Taiwan"]}
{"source": "https://cyberisland.teldap.tw/P/qxVoxXvwKDQ", "uploader": "\u9673\u65fa\u5c55CHEN\uff0cWANG-CHAN", "license": "https://creativecommons.org/licenses/by-nc-sa/3.0/tw/"}
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geo
question_geo_22
Guess the location.
["img/geo/geo_location_0033.png"]
Monkton Park Methodist Church, Wood Terrace, Jarrow, England
open
location_matching
{"location_fine_grained": ["Jarrow"], "location_coarse_grained": ["England"]}
{"source": "https://www.flickr.com/photos/73064996@N08/7875992510/in/photostream/", "uploader": "Jimmy McIntyre", "license": "https://creativecommons.org/licenses/by-sa/2.0/"}
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geo
question_geo_23
Guess the location.
["img/geo/geo_location_0034.png"]
Dongguan, Guangdong
open
location_matching
{"location_fine_grained": ["Dongguan"], "location_coarse_grained": ["Guangdong"]}
{"source": "https://commons.wikimedia.org/wiki/File:DG_%E6%9D%B1%E8%8E%9E_DongGuan_%E5%8D%97%E5%9F%8E%E5%8D%80_Nancheng_%E9%B4%BB%E7%A6%8F%E8%B7%AF_HongFu_Road_%E6%9D%B1%E8%8E%9E%E9%9C%B2%E5%A4%A9%E5%BB%A3%E5%A0%B4_outdoor_square_%E5%85%AC%E5%9C%92_park_water_pool_March_2024_R12S_14.jpg", "uploader": "Loo LaLa GDong 0392", "license": "https://creativecommons.org/publicdomain/zero/1.0/deed.en"}
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geo
question_geo_24
Guess the location.
["img/geo/geo_location_0035.png"]
Busan, South Korea
open
location_matching
{"location_fine_grained": ["Busan"], "location_coarse_grained": ["South Korea"]}
{"source": "https://www.pexels.com/photo/train-cars-in-busan-17318323/", "uploader": "Alvin & Chelsea", "license": "https://creativecommons.org/public-domain/"}
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geo
question_geo_25
Guess the location.
["img/geo/geo_location_0036.png"]
Snow poles in Otaru, Japan
open
location_matching
{"location_fine_grained": ["Otaru"]}
{"source": "https://commons.wikimedia.org/wiki/File:Snow_poles_in_Otaru,_Japan_%283215878334%29.jpg", "uploader": "Batholith", "license": "https://creativecommons.org/licenses/by/2.0/deed.en"}
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geo
question_geo_26
Guess the location.
["img/geo/geo_location_0037.png"]
Street in Puerto Rico
open
location_matching
{"location_fine_grained": ["Puerto Rico"]}
{"source": "https://flickr.com/photos/laura0509/3715006507/", "uploader": "laura0509", "license": "https://creativecommons.org/licenses/by-sa/2.0"}
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geo
question_geo_27
Guess the location.
["img/geo/geo_location_0038.png"]
Yantai
open
location_matching
{"location_fine_grained": ["Yantai"], "location_coarse_grained": ["Shandong"]}
{"source": "self-collected"}
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geo
question_geo_28
Guess the location.
["img/geo/geo_location_0039.png"]
Haikou Marriott
open
location_matching
{"location_fine_grained": ["Haikou"], "location_coarse_grained": ["Marriott"]}
{"source": "self-collected"}
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geo
question_geo_29
Guess the location.
["img/geo/geo_location_0040.jpg"]
Wrocław, Poland
open
location_matching
{"location_fine_grained": ["Wroc\u0142aw", "Wroclaw"], "location_coarse_grained": ["Poland"]}
{"source": "https://www.pexels.com/photo/historic-architecture-in-wroclaw-poland-32071591/", "uploader": "Kostiantyn Klymovets", "license": "https://creativecommons.org/public-domain/"}
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geo
question_geo_30
Guess the location.
["img/geo/geo_location_0041.png"]
Woodside Park Station, Northen Line, London, UK
open
location_matching
{"location_fine_grained": ["Woodside Park"], "location_coarse_grained": ["London"]}
{"source": "self-collected"}
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geo
question_geo_31
Guess the location.
["img/geo/geo_location_0042.jpg"]
Small village in the lap of Western Ghats of India, located at Ratnagiri District of Maharashtra.
open
location_matching
{"location_fine_grained": ["Ratnagiri", "Maharashtra"], "location_coarse_grained": ["India"]}
{"source": "https://commons.wikimedia.org/wiki/File:Nature_Village,_Ratnagiri,_Maharashtra_%28kokan%29_8.jpg", "uploader": "Kostiantyn Klymovets", "license": "https://creativecommons.org/public-domain/"}
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geo
question_geo_32
Guess the location.
["img/geo/geo_location_0043.png"]
St. Stephen's Cathedral, Vienna
open
location_matching
{"location_fine_grained": ["Stephen"], "location_coarse_grained": ["Vienna"]}
{"source": "self-collected"}
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geo
question_geo_33
Guess the location.
["img/geo/geo_location_0044.png"]
The Monserrate Palace
open
location_matching
{"location_fine_grained": ["Monserrate"], "location_coarse_grained": ["Portugal"]}
{"source": "self-collected"}
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geo
question_geo_34
Guess the location.
["img/geo/geo_location_0045.png"]
Grindelwald
open
location_matching
{"location_fine_grained": ["Grindelwald"], "location_coarse_grained": ["Switzerland"]}
{"source": "self-collected"}
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geo
question_geo_35
Guess the location.
["img/geo/geo_location_0046.png"]
Gyeongbokgung, Seoul
open
location_matching
{"location_fine_grained": ["Gyeongbokgung"], "location_coarse_grained": ["Seoul"]}
{"source": "self-collected"}
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geo
question_geo_36
Guess the location.
["img/geo/geo_location_0047.jpg"]
Holy Ghost College in Leuven
open
location_matching
{"location_fine_grained": ["Leuven"], "location_coarse_grained": ["Belgium"]}
{"source": "https://www.pexels.com/photo/holy-ghost-college-in-leuven-15999108/", "uploader": "Xandd M", "license": "https://creativecommons.org/public-domain/"}
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geo
question_geo_37
Guess the location.
["img/geo/geo_location_0048.png"]
The current central library of the Catholic University of Leuven, rebuilt after the fire of 1940.
open
location_matching
{"location_fine_grained": ["Leuven"], "location_coarse_grained": ["Belgium"]}
{"source": "https://www.instagram.com/p/DEbWf5yAI-O/", "uploader": "concretelibraries", "license": "CC BY-SA 3.0"}
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geo
question_geo_38
Guess the location.
["img/geo/geo_location_0049.jpg"]
Shandong University Weihai Campus in Weihai, Shandong, China.
open
location_matching
{"location_fine_grained": ["Weihai"], "location_coarse_grained": ["Shandong"]}
{"source": "https://commons.wikimedia.org/wiki/File:Sdu_weihei_campus_yang_yunlei.jpg", "uploader": "Rolfmueller", "license": "https://creativecommons.org/licenses/by-sa/3.0"}
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geo
question_geo_39
Guess the location.
["img/geo/geo_location_0050.jpg"]
Madrid Atocha railway station (Estación de Madrid Atocha) in Madrid, Spain.
open
location_matching
{"location_fine_grained": ["Atocha", "Madrid"], "location_coarse_grained": ["Spain"]}
{"source": "self-collected"}
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geo
question_geo_40
Guess the location.
["img/geo/geo_location_0051.jpg"]
Catbells Northern Ascent, Lake District, the county of Cumbria (North West England)
open
location_matching
{"location_fine_grained": ["Lake District"], "location_coarse_grained": ["England", "UK"]}
{"source": "https://en.wikipedia.org/wiki/File:Catbells_Northern_Ascent,_Lake_District_-_June_2009.jpg", "uploader": "DAVID ILIFF", "license": "https://creativecommons.org/licenses/by-sa/3.0/"}
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