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stringlengths 36
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images listlengths 1
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stringclasses 17
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images listlengths 0
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0 | What is the total value of the chips shown in the image | [] | 795 | [
"OCR",
"CNT",
"MATH"
] | There are 4 stacks of poker chips. From left to right, we have 4 $100 chips, 5 $50 chips, 7 $20 chips, and 1 $5 chip. 100 * 4 + 50 * 5 + 20 * 7 + 5 * 1 = 795. |
|||
1 | What is the total value of the chips shown in the image | [] | 895 | [
"OCR",
"CNT",
"MATH",
"3DQNT"
] | There are 4 stacks of poker chips. 3 of which are visible in their entirety. From left to right, there are 5 $50 chips, 7 $20 chips, and 1 $5 chip. The stack of $100 chips is behind the aforementioned stacks, but appears to be of the same height as the $50 stack, giving us 5 $100 chips. 100 * 5 + 50 * 5 + 20 * 7 + 5 * 1 = 895. |
|||
2 | What is the total value of the chips shown in the image | [] | 800 | [
"OCR",
"CNT",
"MATH"
] | There are 4 stacks of poker chips. From left to right, we have 5 $100 chips, 3 $50 chips, 7 $20 chips, and 1 $10 chip. 100 * 5 + 50 * 3 + 20 * 7 + 10 * 1 = 800. |
|||
3 | What is the total value of the chips shown in the image | [] | 510 | [
"OCR",
"CNT",
"MATH"
] | There are 5 stacks of poker chips. From left to right, we have 3 $100 chips, 2 $50 chips, 4 $20 chips, 1 $10 chip, and 4 $5 chips. 100 * 3 + 50 * 2 + 20 * 4 + 10 * 1 + 5 * 4 = 510. |
|||
4 | What is the total value of the chips shown in the image | [] | 180 | [
"OCR",
"CNT",
"MATH",
"3DQNT"
] | There are 3 stacks of poker chips. 2 of which are visible in their entirety. From left to right, there are 4 $10 chips and 4 $5 chips in these 2 visible stacks. The stack in the back seems to contain 2 more chips than the stacks in the front, giving us 6 $20 chips. 20 * 6 + 10 * 4 + 5 * 4 = 180. |
|||
5 | What is the total value of the chips shown in the image | [] | 645 | [
"OCR",
"CNT",
"MATH"
] | There are 5 stacks of poker chips. From left to right, we have 7 $5 chips, 5 $10 chips, 3 $20 chips, 6 $50 chips, and 2 $100 chips. 100 * 2 + 50 * 6 + 20 * 3 + 10 * 5 + 5 * 7 = 645. |
|||
6 | What is the total value of the chips shown in the image | [] | 390 | [
"OCR",
"CNT",
"MATH"
] | There are 5 stacks of poker chips. From left to right, the row in the back has 1 $50 chip and 3 $100 chip, while the row in the front has 2 $5 chips, 1 $10 chip, and 1 $20 chip. 100 * 3 + 50 * 1 + 20 * 1 + 10 * 1 + 5 * 2 = 390. |
|||
7 | What is the total value of the chips shown in the image | [] | 185 | [
"OCR",
"CNT",
"MATH"
] | There are 3 stacks of poker chips. From left to right, we have 7 $5 chips, 3 $10 chips, and 6 $20 chips. 20 * 6 + 10 * 3 + 5 * 7 = 185. |
|||
8 | What is the total value of the chips shown in the image | [] | 605 | [
"OCR",
"CNT",
"MATH",
"3DQNT"
] | There are 4 stacks of poker chips, with another $100 chip leaning on the $20 stack. 3 stacks in the front row are clearly visible. From left to right, these stacks give us 7 $5 chips, 3 $10 chips, and 6 $50 chips. Although the $20 stack partially obstructed, it appears to be of the same height as the $5 stack, giving us 7 $20 chips. We should also count the single $100 chip. 100 * 1 + 50 * 6 + 20 * 7 + 10 * 3 + 5 * 7 = 605. |
|||
9 | What is the total value of the chips shown in the image | [] | 955 | [
"OCR",
"CNT",
"MATH"
] | There are 5 stacks of poker chips. From left to right, we have 1 $ chip, 2 $10 chip, 4 $20 chip, 3 $50 chip, and 6 $100 chip. Notably, there is another $100 chip leaning on the $100 stack, bringing the total of $100 chips to 7. 100 * 7 + 50 * 3 + 20 * 4 + 10 * 2 + 5 * 1 = 955. |
|||
10 | What is the total value of the chips shown in the image | [] | 310 | [
"OCR",
"CNT",
"MATH"
] | There are 3 stacks of poker chips. From left to right, we have 8 $10 chips, 3 $50 chips, and 4 $20 chips. 50 * 3 + 20 * 4 + 10 * 8 = 310. |
|||
11 | What is the total value of the chips shown in the image | [] | 1070 | [
"OCR",
"CNT",
"MATH"
] | There are 3 stacks of poker chips. We have 9 $100 chips, 6 $20 chips, and 1 $50 chip. 100 * 9 + 50 * 1 + 20 * 6 = 1070. |
|||
12 | What is the total value of the chips shown in the image | [] | 135 | [
"OCR",
"CNT",
"MATH"
] | There are 4 stacks of poker chips. From left to right, we have 1 $5 chip, 2 $10 chips, 3 $20 chips, and 1 $50 chip. 50 * 1 + 20 * 3 + 10 * 2 + 5 * 1 = 135. |
|||
13 | What is the total value of the chips shown in the image | [] | 510 | [
"OCR",
"CNT",
"MATH"
] | There are 3 stacks of poker chips. We have 4 $50 chips, 3 $100 chips, and 1 $10 chip. 100 * 3 + 50 * 4 + 10 * 1 = 510. |
|||
14 | What is the total value of the chips shown in the image | [] | 820 | [
"OCR",
"CNT",
"MATH"
] | There are 5 stacks of poker chips. We have 2 $5 chips, 4 $10 chips, 6 $20 chips, 3 $50 chips, and 5 $100 chips. 100 * 5 + 50 * 3 + 20 * 6 + 10 * 4 + 5 * 2 = 820. |
|||
15 | What is the total value of the chips shown in the image | [] | 50 | [
"OCR",
"CNT",
"MATH"
] | There are 10 $5 chips. 5 * 10 = 50. |
|||
16 | What is the total value of the chips shown in the image | [] | 460 | [
"OCR",
"CNT",
"MATH"
] | There are 5 stacks of chips. We have 2 $5 chips, 5 $10 chips, 5 $20 chips, 2 $50 chips, and 2 $100 chips. 100 * 2 + 50 * 2 + 20 * 5 + 10 * 5 + 5 * 2 = 460. |
|||
17 | What is the total value of the chips shown in the image | [] | 770 | [
"OCR",
"CNT",
"MATH"
] | There are 6 $100 chips at the bottom, 3 $50 chips in the middle layer, and 1 $20 chip at the top. 100 * 6 + 50 * 3 + 20 * 1 = 770. |
|||
18 | What is the total value of the chips shown in the image | [] | 190 | [
"OCR",
"CNT",
"MATH"
] | There are 3 stacks of poker chips. We have 5 $10 chips, 2 $20 chips, and 1 $100 chip. 100 * 1 + 20 * 2 + 10 * 5 = 190. |
|||
19 | What is the total value of the chips shown in the image | [] | 60 | [
"OCR",
"CNT",
"MATH"
] | We have 2 stacks of poker chips, and both are mixes of $10 and $5 chips. The left stack contains 3 $10 chips and 2 $5 chips. The right one contains 2 $5 chips and 1 $10 chip. 10 * 4 + 5 * 4 = 60. |
|||
20 | Which city is this streetview image from? | [] | This is a list of all possible city names. - Sydney
- Melbourne
- Brisbane
- Perth
- Adelaide
- Canberra
- Hobart
- Darwin
- Gold Coast
- Newcastle
- Wollongong
- Cairns
- Geelong
- Townsville
- Sunshine Coast
- Launceston
- Mackay
- Bendigo
- Albury
- Rockhampton
- Tokyo (東京)
- Osaka (大阪)
- Kyoto (京都)
- Yokohama (横浜)
- Sapporo (札幌)
- Nagoya (名古屋)
- Fukuoka (福岡)
- Kobe (神戸)
- Hiroshima (広島)
- Sendai (仙台)
- Kawasaki (川崎)
- Saitama (さいたま)
- Chiba (千葉)
- Kitakyushu (北九州)
- Shizuoka (静岡)
- Okayama (岡山)
- Kumamoto (熊本)
- Nara (奈良)
- Nagasaki (長崎)
- Utsunomiya (宇都宮)
- Taipei (台北)
- Kaohsiung (高雄)
- Taichung (台中)
- Tainan (台南)
- Taoyuan (桃園)
- Hsinchu (新竹)
- Keelung (基隆)
- Chiayi (嘉义)
- Changhua (彰化)
- Miaoli (苗栗)
- Taitung (台东)
- Pingtung (屏东)
- Hualien (花蓮)
- Yilan (宜兰)
- Nantou (南投)
- Yunlin (云林)
- Chiayi City (嘉义市)
- Keelung City (基隆市)
- New Taipei City (新北市)
- Taipei City (台北市)
- Macau (澳門)
- Hong Kong (香港)
- Berlin
- Munich (München)
- Hamburg
- Frankfurt
- Stuttgart
- Dusseldorf (Düsseldorf)
- Cologne (Köln)
- Leipzig
- Dortmund
- Essen | Brisbane | [
"OCR",
"3DTF"
] | The pink banners in this streetview are for the Brisbane Festival. Therefore, the city is most like Brisbane. |
||
21 | Which city is this streetview image from? | [] | This is a list of all possible city names. - Sydney
- Melbourne
- Brisbane
- Perth
- Adelaide
- Canberra
- Hobart
- Darwin
- Gold Coast
- Newcastle
- Wollongong
- Cairns
- Geelong
- Townsville
- Sunshine Coast
- Launceston
- Mackay
- Bendigo
- Albury
- Rockhampton
- Tokyo (東京)
- Osaka (大阪)
- Kyoto (京都)
- Yokohama (横浜)
- Sapporo (札幌)
- Nagoya (名古屋)
- Fukuoka (福岡)
- Kobe (神戸)
- Hiroshima (広島)
- Sendai (仙台)
- Kawasaki (川崎)
- Saitama (さいたま)
- Chiba (千葉)
- Kitakyushu (北九州)
- Shizuoka (静岡)
- Okayama (岡山)
- Kumamoto (熊本)
- Nara (奈良)
- Nagasaki (長崎)
- Utsunomiya (宇都宮)
- Taipei (台北)
- Kaohsiung (高雄)
- Taichung (台中)
- Tainan (台南)
- Taoyuan (桃園)
- Hsinchu (新竹)
- Keelung (基隆)
- Chiayi (嘉义)
- Changhua (彰化)
- Miaoli (苗栗)
- Taitung (台东)
- Pingtung (屏东)
- Hualien (花蓮)
- Yilan (宜兰)
- Nantou (南投)
- Yunlin (云林)
- Chiayi City (嘉义市)
- Keelung City (基隆市)
- New Taipei City (新北市)
- Taipei City (台北市)
- Macau (澳門)
- Hong Kong (香港)
- Berlin
- Munich (München)
- Hamburg
- Frankfurt
- Stuttgart
- Dusseldorf (Düsseldorf)
- Cologne (Köln)
- Leipzig
- Dortmund
- Essen | Darwin | [
"OCR"
] | The YETI FISHING AND OUTDOOR WORLD sign has DARWIN N.T. at the bottom, indicating that the city is Darwin. |
||
22 | Which city is this streetview image from? | [] | This is a list of all possible city names. - Sydney
- Melbourne
- Brisbane
- Perth
- Adelaide
- Canberra
- Hobart
- Darwin
- Gold Coast
- Newcastle
- Wollongong
- Cairns
- Geelong
- Townsville
- Sunshine Coast
- Launceston
- Mackay
- Bendigo
- Albury
- Rockhampton
- Tokyo (東京)
- Osaka (大阪)
- Kyoto (京都)
- Yokohama (横浜)
- Sapporo (札幌)
- Nagoya (名古屋)
- Fukuoka (福岡)
- Kobe (神戸)
- Hiroshima (広島)
- Sendai (仙台)
- Kawasaki (川崎)
- Saitama (さいたま)
- Chiba (千葉)
- Kitakyushu (北九州)
- Shizuoka (静岡)
- Okayama (岡山)
- Kumamoto (熊本)
- Nara (奈良)
- Nagasaki (長崎)
- Utsunomiya (宇都宮)
- Taipei (台北)
- Kaohsiung (高雄)
- Taichung (台中)
- Tainan (台南)
- Taoyuan (桃園)
- Hsinchu (新竹)
- Keelung (基隆)
- Chiayi (嘉义)
- Changhua (彰化)
- Miaoli (苗栗)
- Taitung (台东)
- Pingtung (屏东)
- Hualien (花蓮)
- Yilan (宜兰)
- Nantou (南投)
- Yunlin (云林)
- Chiayi City (嘉义市)
- Keelung City (基隆市)
- New Taipei City (新北市)
- Taipei City (台北市)
- Macau (澳門)
- Hong Kong (香港)
- Berlin
- Munich (München)
- Hamburg
- Frankfurt
- Stuttgart
- Dusseldorf (Düsseldorf)
- Cologne (Köln)
- Leipzig
- Dortmund
- Essen | Dusseldorf | [
"OCR",
"RET"
] | The KIOSK store has a poster that reads I ♥ DUSSELDORF, located just beneath the Marlboro sign. Therefore, the city is most likely Dusseldorf. |
||
23 | Which city is this streetview image from? | [] | This is a list of all possible city names. - Sydney
- Melbourne
- Brisbane
- Perth
- Adelaide
- Canberra
- Hobart
- Darwin
- Gold Coast
- Newcastle
- Wollongong
- Cairns
- Geelong
- Townsville
- Sunshine Coast
- Launceston
- Mackay
- Bendigo
- Albury
- Rockhampton
- Tokyo (東京)
- Osaka (大阪)
- Kyoto (京都)
- Yokohama (横浜)
- Sapporo (札幌)
- Nagoya (名古屋)
- Fukuoka (福岡)
- Kobe (神戸)
- Hiroshima (広島)
- Sendai (仙台)
- Kawasaki (川崎)
- Saitama (さいたま)
- Chiba (千葉)
- Kitakyushu (北九州)
- Shizuoka (静岡)
- Okayama (岡山)
- Kumamoto (熊本)
- Nara (奈良)
- Nagasaki (長崎)
- Utsunomiya (宇都宮)
- Taipei (台北)
- Kaohsiung (高雄)
- Taichung (台中)
- Tainan (台南)
- Taoyuan (桃園)
- Hsinchu (新竹)
- Keelung (基隆)
- Chiayi (嘉义)
- Changhua (彰化)
- Miaoli (苗栗)
- Taitung (台东)
- Pingtung (屏东)
- Hualien (花蓮)
- Yilan (宜兰)
- Nantou (南投)
- Yunlin (云林)
- Chiayi City (嘉义市)
- Keelung City (基隆市)
- New Taipei City (新北市)
- Taipei City (台北市)
- Macau (澳門)
- Hong Kong (香港)
- Berlin
- Munich (München)
- Hamburg
- Frankfurt
- Stuttgart
- Dusseldorf (Düsseldorf)
- Cologne (Köln)
- Leipzig
- Dortmund
- Essen | Gold Coast | [
"OCR"
] | The sign in median of the road reads Gold Coast Aquatic Centre NEXT RIGHT, indicating that the Gold Coast Aquatic Centre is nearby. Therefore, the city is most likely Gold Coast. |
||
24 | Which city is this streetview image from? | [] | This is a list of all possible city names. - Sydney
- Melbourne
- Brisbane
- Perth
- Adelaide
- Canberra
- Hobart
- Darwin
- Gold Coast
- Newcastle
- Wollongong
- Cairns
- Geelong
- Townsville
- Sunshine Coast
- Launceston
- Mackay
- Bendigo
- Albury
- Rockhampton
- Tokyo (東京)
- Osaka (大阪)
- Kyoto (京都)
- Yokohama (横浜)
- Sapporo (札幌)
- Nagoya (名古屋)
- Fukuoka (福岡)
- Kobe (神戸)
- Hiroshima (広島)
- Sendai (仙台)
- Kawasaki (川崎)
- Saitama (さいたま)
- Chiba (千葉)
- Kitakyushu (北九州)
- Shizuoka (静岡)
- Okayama (岡山)
- Kumamoto (熊本)
- Nara (奈良)
- Nagasaki (長崎)
- Utsunomiya (宇都宮)
- Taipei (台北)
- Kaohsiung (高雄)
- Taichung (台中)
- Tainan (台南)
- Taoyuan (桃園)
- Hsinchu (新竹)
- Keelung (基隆)
- Chiayi (嘉义)
- Changhua (彰化)
- Miaoli (苗栗)
- Taitung (台东)
- Pingtung (屏东)
- Hualien (花蓮)
- Yilan (宜兰)
- Nantou (南投)
- Yunlin (云林)
- Chiayi City (嘉义市)
- Keelung City (基隆市)
- New Taipei City (新北市)
- Taipei City (台北市)
- Macau (澳門)
- Hong Kong (香港)
- Berlin
- Munich (München)
- Hamburg
- Frankfurt
- Stuttgart
- Dusseldorf (Düsseldorf)
- Cologne (Köln)
- Leipzig
- Dortmund
- Essen | Hualien | [
"OCR",
"RET",
"MTLIN"
] | The SUNFAR store sign contains the word 花蓮店, which stands for Hualien Branch. This strongly suggests that the city is Hualien. |
||
25 | Which city is this streetview image from? | [] | This is a list of all possible city names. - Sydney
- Melbourne
- Brisbane
- Perth
- Adelaide
- Canberra
- Hobart
- Darwin
- Gold Coast
- Newcastle
- Wollongong
- Cairns
- Geelong
- Townsville
- Sunshine Coast
- Launceston
- Mackay
- Bendigo
- Albury
- Rockhampton
- Tokyo (東京)
- Osaka (大阪)
- Kyoto (京都)
- Yokohama (横浜)
- Sapporo (札幌)
- Nagoya (名古屋)
- Fukuoka (福岡)
- Kobe (神戸)
- Hiroshima (広島)
- Sendai (仙台)
- Kawasaki (川崎)
- Saitama (さいたま)
- Chiba (千葉)
- Kitakyushu (北九州)
- Shizuoka (静岡)
- Okayama (岡山)
- Kumamoto (熊本)
- Nara (奈良)
- Nagasaki (長崎)
- Utsunomiya (宇都宮)
- Taipei (台北)
- Kaohsiung (高雄)
- Taichung (台中)
- Tainan (台南)
- Taoyuan (桃園)
- Hsinchu (新竹)
- Keelung (基隆)
- Chiayi (嘉义)
- Changhua (彰化)
- Miaoli (苗栗)
- Taitung (台东)
- Pingtung (屏东)
- Hualien (花蓮)
- Yilan (宜兰)
- Nantou (南投)
- Yunlin (云林)
- Chiayi City (嘉义市)
- Keelung City (基隆市)
- New Taipei City (新北市)
- Taipei City (台北市)
- Macau (澳門)
- Hong Kong (香港)
- Berlin
- Munich (München)
- Hamburg
- Frankfurt
- Stuttgart
- Dusseldorf (Düsseldorf)
- Cologne (Köln)
- Leipzig
- Dortmund
- Essen | Keelung | [
"OCR",
"RET",
"MTLIN"
] | The billboard on the right contains the word 基隆市環境保護局 (Keelung City Environment Protection Bureau). The tall bulding on the left contains the word 基隆廣播電台 (Keelung Radio). The bus on the left has the word 基隆市公車處 (Keelung Bus Agency). All of these clues points to Keelung as the answer. |
||
26 | Which city is this streetview image from? | [] | This is a list of all possible city names. - Sydney
- Melbourne
- Brisbane
- Perth
- Adelaide
- Canberra
- Hobart
- Darwin
- Gold Coast
- Newcastle
- Wollongong
- Cairns
- Geelong
- Townsville
- Sunshine Coast
- Launceston
- Mackay
- Bendigo
- Albury
- Rockhampton
- Tokyo (東京)
- Osaka (大阪)
- Kyoto (京都)
- Yokohama (横浜)
- Sapporo (札幌)
- Nagoya (名古屋)
- Fukuoka (福岡)
- Kobe (神戸)
- Hiroshima (広島)
- Sendai (仙台)
- Kawasaki (川崎)
- Saitama (さいたま)
- Chiba (千葉)
- Kitakyushu (北九州)
- Shizuoka (静岡)
- Okayama (岡山)
- Kumamoto (熊本)
- Nara (奈良)
- Nagasaki (長崎)
- Utsunomiya (宇都宮)
- Taipei (台北)
- Kaohsiung (高雄)
- Taichung (台中)
- Tainan (台南)
- Taoyuan (桃園)
- Hsinchu (新竹)
- Keelung (基隆)
- Chiayi (嘉义)
- Changhua (彰化)
- Miaoli (苗栗)
- Taitung (台东)
- Pingtung (屏东)
- Hualien (花蓮)
- Yilan (宜兰)
- Nantou (南投)
- Yunlin (云林)
- Chiayi City (嘉义市)
- Keelung City (基隆市)
- New Taipei City (新北市)
- Taipei City (台北市)
- Macau (澳門)
- Hong Kong (香港)
- Berlin
- Munich (München)
- Hamburg
- Frankfurt
- Stuttgart
- Dusseldorf (Düsseldorf)
- Cologne (Köln)
- Leipzig
- Dortmund
- Essen | Kobe | [
"OCR",
"MTLIN"
] | The sign for the Volkswagen dealership on the right reads Volkswagen 神戸東, which translates to Volkwagen East Kobe. This strongly suggests that the streetview was taken in Kobe. |
||
27 | Which city is this streetview image from? | [] | This is a list of all possible city names. - Sydney
- Melbourne
- Brisbane
- Perth
- Adelaide
- Canberra
- Hobart
- Darwin
- Gold Coast
- Newcastle
- Wollongong
- Cairns
- Geelong
- Townsville
- Sunshine Coast
- Launceston
- Mackay
- Bendigo
- Albury
- Rockhampton
- Tokyo (東京)
- Osaka (大阪)
- Kyoto (京都)
- Yokohama (横浜)
- Sapporo (札幌)
- Nagoya (名古屋)
- Fukuoka (福岡)
- Kobe (神戸)
- Hiroshima (広島)
- Sendai (仙台)
- Kawasaki (川崎)
- Saitama (さいたま)
- Chiba (千葉)
- Kitakyushu (北九州)
- Shizuoka (静岡)
- Okayama (岡山)
- Kumamoto (熊本)
- Nara (奈良)
- Nagasaki (長崎)
- Utsunomiya (宇都宮)
- Taipei (台北)
- Kaohsiung (高雄)
- Taichung (台中)
- Tainan (台南)
- Taoyuan (桃園)
- Hsinchu (新竹)
- Keelung (基隆)
- Chiayi (嘉义)
- Changhua (彰化)
- Miaoli (苗栗)
- Taitung (台东)
- Pingtung (屏东)
- Hualien (花蓮)
- Yilan (宜兰)
- Nantou (南投)
- Yunlin (云林)
- Chiayi City (嘉义市)
- Keelung City (基隆市)
- New Taipei City (新北市)
- Taipei City (台北市)
- Macau (澳門)
- Hong Kong (香港)
- Berlin
- Munich (München)
- Hamburg
- Frankfurt
- Stuttgart
- Dusseldorf (Düsseldorf)
- Cologne (Köln)
- Leipzig
- Dortmund
- Essen | Kobe | [
"OCR",
"MTLIN"
] | The road sign ahead shows the way to 神戸空港 (Kobe Airport). This suggests that the city is Kobe. |
||
28 | Which city is this streetview image from? | [] | This is a list of all possible city names. - Sydney
- Melbourne
- Brisbane
- Perth
- Adelaide
- Canberra
- Hobart
- Darwin
- Gold Coast
- Newcastle
- Wollongong
- Cairns
- Geelong
- Townsville
- Sunshine Coast
- Launceston
- Mackay
- Bendigo
- Albury
- Rockhampton
- Tokyo (東京)
- Osaka (大阪)
- Kyoto (京都)
- Yokohama (横浜)
- Sapporo (札幌)
- Nagoya (名古屋)
- Fukuoka (福岡)
- Kobe (神戸)
- Hiroshima (広島)
- Sendai (仙台)
- Kawasaki (川崎)
- Saitama (さいたま)
- Chiba (千葉)
- Kitakyushu (北九州)
- Shizuoka (静岡)
- Okayama (岡山)
- Kumamoto (熊本)
- Nara (奈良)
- Nagasaki (長崎)
- Utsunomiya (宇都宮)
- Taipei (台北)
- Kaohsiung (高雄)
- Taichung (台中)
- Tainan (台南)
- Taoyuan (桃園)
- Hsinchu (新竹)
- Keelung (基隆)
- Chiayi (嘉义)
- Changhua (彰化)
- Miaoli (苗栗)
- Taitung (台东)
- Pingtung (屏东)
- Hualien (花蓮)
- Yilan (宜兰)
- Nantou (南投)
- Yunlin (云林)
- Chiayi City (嘉义市)
- Keelung City (基隆市)
- New Taipei City (新北市)
- Taipei City (台北市)
- Macau (澳門)
- Hong Kong (香港)
- Berlin
- Munich (München)
- Hamburg
- Frankfurt
- Stuttgart
- Dusseldorf (Düsseldorf)
- Cologne (Köln)
- Leipzig
- Dortmund
- Essen | Kobe | [
"OCR",
"MTLIN"
] | The architecture and the cherry blossom points to a Japanese city. The bus stop sign on the right contains the word 神戸市バス (Kobe City Bus). Therefore, the city is most likely Kobe. |
||
29 | Which city is this streetview image from? | [] | This is a list of all possible city names. - Sydney
- Melbourne
- Brisbane
- Perth
- Adelaide
- Canberra
- Hobart
- Darwin
- Gold Coast
- Newcastle
- Wollongong
- Cairns
- Geelong
- Townsville
- Sunshine Coast
- Launceston
- Mackay
- Bendigo
- Albury
- Rockhampton
- Tokyo (東京)
- Osaka (大阪)
- Kyoto (京都)
- Yokohama (横浜)
- Sapporo (札幌)
- Nagoya (名古屋)
- Fukuoka (福岡)
- Kobe (神戸)
- Hiroshima (広島)
- Sendai (仙台)
- Kawasaki (川崎)
- Saitama (さいたま)
- Chiba (千葉)
- Kitakyushu (北九州)
- Shizuoka (静岡)
- Okayama (岡山)
- Kumamoto (熊本)
- Nara (奈良)
- Nagasaki (長崎)
- Utsunomiya (宇都宮)
- Taipei (台北)
- Kaohsiung (高雄)
- Taichung (台中)
- Tainan (台南)
- Taoyuan (桃園)
- Hsinchu (新竹)
- Keelung (基隆)
- Chiayi (嘉义)
- Changhua (彰化)
- Miaoli (苗栗)
- Taitung (台东)
- Pingtung (屏东)
- Hualien (花蓮)
- Yilan (宜兰)
- Nantou (南投)
- Yunlin (云林)
- Chiayi City (嘉义市)
- Keelung City (基隆市)
- New Taipei City (新北市)
- Taipei City (台北市)
- Macau (澳門)
- Hong Kong (香港)
- Berlin
- Munich (München)
- Hamburg
- Frankfurt
- Stuttgart
- Dusseldorf (Düsseldorf)
- Cologne (Köln)
- Leipzig
- Dortmund
- Essen | Kyoto | [
"OCR",
"MTLIN"
] | The Japanese text points to a location in Japan. The signs on the left are generic shop signs, while the post office on the right contains more clues. Specifically, The door of the post office has the words 京都六条郵便局 (Kyoto Rokujo Post Office) written on it, suggesting that the city is Kyoto. |
||
30 | Which city is this streetview image from? | [] | This is a list of all possible city names. - Sydney
- Melbourne
- Brisbane
- Perth
- Adelaide
- Canberra
- Hobart
- Darwin
- Gold Coast
- Newcastle
- Wollongong
- Cairns
- Geelong
- Townsville
- Sunshine Coast
- Launceston
- Mackay
- Bendigo
- Albury
- Rockhampton
- Tokyo (東京)
- Osaka (大阪)
- Kyoto (京都)
- Yokohama (横浜)
- Sapporo (札幌)
- Nagoya (名古屋)
- Fukuoka (福岡)
- Kobe (神戸)
- Hiroshima (広島)
- Sendai (仙台)
- Kawasaki (川崎)
- Saitama (さいたま)
- Chiba (千葉)
- Kitakyushu (北九州)
- Shizuoka (静岡)
- Okayama (岡山)
- Kumamoto (熊本)
- Nara (奈良)
- Nagasaki (長崎)
- Utsunomiya (宇都宮)
- Taipei (台北)
- Kaohsiung (高雄)
- Taichung (台中)
- Tainan (台南)
- Taoyuan (桃園)
- Hsinchu (新竹)
- Keelung (基隆)
- Chiayi (嘉义)
- Changhua (彰化)
- Miaoli (苗栗)
- Taitung (台东)
- Pingtung (屏东)
- Hualien (花蓮)
- Yilan (宜兰)
- Nantou (南投)
- Yunlin (云林)
- Chiayi City (嘉义市)
- Keelung City (基隆市)
- New Taipei City (新北市)
- Taipei City (台北市)
- Macau (澳門)
- Hong Kong (香港)
- Berlin
- Munich (München)
- Hamburg
- Frankfurt
- Stuttgart
- Dusseldorf (Düsseldorf)
- Cologne (Köln)
- Leipzig
- Dortmund
- Essen | Kyoto | [
"OCR",
"MTLIN"
] | The architecture on the left are clearly East Asian. The Japanese text points to a city in Japan. The poster on the right has the word 京都限定 on it, which translates as Kyoto Only. This strongly suggest that the streetview was taken in Kyoto. |
||
31 | Which city is this streetview image from? | [] | This is a list of all possible city names. - Sydney
- Melbourne
- Brisbane
- Perth
- Adelaide
- Canberra
- Hobart
- Darwin
- Gold Coast
- Newcastle
- Wollongong
- Cairns
- Geelong
- Townsville
- Sunshine Coast
- Launceston
- Mackay
- Bendigo
- Albury
- Rockhampton
- Tokyo (東京)
- Osaka (大阪)
- Kyoto (京都)
- Yokohama (横浜)
- Sapporo (札幌)
- Nagoya (名古屋)
- Fukuoka (福岡)
- Kobe (神戸)
- Hiroshima (広島)
- Sendai (仙台)
- Kawasaki (川崎)
- Saitama (さいたま)
- Chiba (千葉)
- Kitakyushu (北九州)
- Shizuoka (静岡)
- Okayama (岡山)
- Kumamoto (熊本)
- Nara (奈良)
- Nagasaki (長崎)
- Utsunomiya (宇都宮)
- Taipei (台北)
- Kaohsiung (高雄)
- Taichung (台中)
- Tainan (台南)
- Taoyuan (桃園)
- Hsinchu (新竹)
- Keelung (基隆)
- Chiayi (嘉义)
- Changhua (彰化)
- Miaoli (苗栗)
- Taitung (台东)
- Pingtung (屏东)
- Hualien (花蓮)
- Yilan (宜兰)
- Nantou (南投)
- Yunlin (云林)
- Chiayi City (嘉义市)
- Keelung City (基隆市)
- New Taipei City (新北市)
- Taipei City (台北市)
- Macau (澳門)
- Hong Kong (香港)
- Berlin
- Munich (München)
- Hamburg
- Frankfurt
- Stuttgart
- Dusseldorf (Düsseldorf)
- Cologne (Köln)
- Leipzig
- Dortmund
- Essen | Kyoto | [
"OCR",
"MTLIN"
] | The architecture is broadly East Asian. The board containing poster on the left is titled 京都市広報板 (Kyoto City Public Relation Board). Therefore, the streetview is most likely taken in Kyoto. |
||
32 | Which city is this streetview image from? | [] | This is a list of all possible city names. - Sydney
- Melbourne
- Brisbane
- Perth
- Adelaide
- Canberra
- Hobart
- Darwin
- Gold Coast
- Newcastle
- Wollongong
- Cairns
- Geelong
- Townsville
- Sunshine Coast
- Launceston
- Mackay
- Bendigo
- Albury
- Rockhampton
- Tokyo (東京)
- Osaka (大阪)
- Kyoto (京都)
- Yokohama (横浜)
- Sapporo (札幌)
- Nagoya (名古屋)
- Fukuoka (福岡)
- Kobe (神戸)
- Hiroshima (広島)
- Sendai (仙台)
- Kawasaki (川崎)
- Saitama (さいたま)
- Chiba (千葉)
- Kitakyushu (北九州)
- Shizuoka (静岡)
- Okayama (岡山)
- Kumamoto (熊本)
- Nara (奈良)
- Nagasaki (長崎)
- Utsunomiya (宇都宮)
- Taipei (台北)
- Kaohsiung (高雄)
- Taichung (台中)
- Tainan (台南)
- Taoyuan (桃園)
- Hsinchu (新竹)
- Keelung (基隆)
- Chiayi (嘉义)
- Changhua (彰化)
- Miaoli (苗栗)
- Taitung (台东)
- Pingtung (屏东)
- Hualien (花蓮)
- Yilan (宜兰)
- Nantou (南投)
- Yunlin (云林)
- Chiayi City (嘉义市)
- Keelung City (基隆市)
- New Taipei City (新北市)
- Taipei City (台北市)
- Macau (澳門)
- Hong Kong (香港)
- Berlin
- Munich (München)
- Hamburg
- Frankfurt
- Stuttgart
- Dusseldorf (Düsseldorf)
- Cologne (Köln)
- Leipzig
- Dortmund
- Essen | Kyoto | [
"OCR",
"RET",
"MTLIN"
] | The Japanese text points to a city in Japan. The Torii gate further confirms this. The shops signs on the right are fairly generic, while the sign for the Pico Organic Coffee shop has the word 京都 (Kyoto) on it. This suggests that the streetview was taken in Kyoto. |
||
33 | Which city is this streetview image from? | [] | This is a list of all possible city names. - Sydney
- Melbourne
- Brisbane
- Perth
- Adelaide
- Canberra
- Hobart
- Darwin
- Gold Coast
- Newcastle
- Wollongong
- Cairns
- Geelong
- Townsville
- Sunshine Coast
- Launceston
- Mackay
- Bendigo
- Albury
- Rockhampton
- Tokyo (東京)
- Osaka (大阪)
- Kyoto (京都)
- Yokohama (横浜)
- Sapporo (札幌)
- Nagoya (名古屋)
- Fukuoka (福岡)
- Kobe (神戸)
- Hiroshima (広島)
- Sendai (仙台)
- Kawasaki (川崎)
- Saitama (さいたま)
- Chiba (千葉)
- Kitakyushu (北九州)
- Shizuoka (静岡)
- Okayama (岡山)
- Kumamoto (熊本)
- Nara (奈良)
- Nagasaki (長崎)
- Utsunomiya (宇都宮)
- Taipei (台北)
- Kaohsiung (高雄)
- Taichung (台中)
- Tainan (台南)
- Taoyuan (桃園)
- Hsinchu (新竹)
- Keelung (基隆)
- Chiayi (嘉义)
- Changhua (彰化)
- Miaoli (苗栗)
- Taitung (台东)
- Pingtung (屏东)
- Hualien (花蓮)
- Yilan (宜兰)
- Nantou (南投)
- Yunlin (云林)
- Chiayi City (嘉义市)
- Keelung City (基隆市)
- New Taipei City (新北市)
- Taipei City (台北市)
- Macau (澳門)
- Hong Kong (香港)
- Berlin
- Munich (München)
- Hamburg
- Frankfurt
- Stuttgart
- Dusseldorf (Düsseldorf)
- Cologne (Köln)
- Leipzig
- Dortmund
- Essen | Macau | [
"OCR",
"RET",
"MTLIN"
] | The streetview has a lot of tradition Chinese characters, which are common in Hong Kong, Macau, and Taiwan. Specifically, the sign on the right reads 澳門國際銀行, while the yellow sign above the gate of the building on the right reads 澳門地產業總商會. Both points to Macau (澳門) as the answer. |
||
34 | Which city is this streetview image from? | [] | This is a list of all possible city names. - Sydney
- Melbourne
- Brisbane
- Perth
- Adelaide
- Canberra
- Hobart
- Darwin
- Gold Coast
- Newcastle
- Wollongong
- Cairns
- Geelong
- Townsville
- Sunshine Coast
- Launceston
- Mackay
- Bendigo
- Albury
- Rockhampton
- Tokyo (東京)
- Osaka (大阪)
- Kyoto (京都)
- Yokohama (横浜)
- Sapporo (札幌)
- Nagoya (名古屋)
- Fukuoka (福岡)
- Kobe (神戸)
- Hiroshima (広島)
- Sendai (仙台)
- Kawasaki (川崎)
- Saitama (さいたま)
- Chiba (千葉)
- Kitakyushu (北九州)
- Shizuoka (静岡)
- Okayama (岡山)
- Kumamoto (熊本)
- Nara (奈良)
- Nagasaki (長崎)
- Utsunomiya (宇都宮)
- Taipei (台北)
- Kaohsiung (高雄)
- Taichung (台中)
- Tainan (台南)
- Taoyuan (桃園)
- Hsinchu (新竹)
- Keelung (基隆)
- Chiayi (嘉义)
- Changhua (彰化)
- Miaoli (苗栗)
- Taitung (台东)
- Pingtung (屏东)
- Hualien (花蓮)
- Yilan (宜兰)
- Nantou (南投)
- Yunlin (云林)
- Chiayi City (嘉义市)
- Keelung City (基隆市)
- New Taipei City (新北市)
- Taipei City (台北市)
- Macau (澳門)
- Hong Kong (香港)
- Berlin
- Munich (München)
- Hamburg
- Frankfurt
- Stuttgart
- Dusseldorf (Düsseldorf)
- Cologne (Köln)
- Leipzig
- Dortmund
- Essen | Nara | [
"OCR",
"RET",
"MTLIN"
] | The Japanese on the signs points to a city in Japan. The concrete viaduct crossing the street in the background has a direction to 奈良駅 (Nara Station). This suggests that the streetview is taken in Nara, probably at a spot near the railway station. |
||
35 | Which city is this streetview image from? | [] | This is a list of all possible city names. - Sydney
- Melbourne
- Brisbane
- Perth
- Adelaide
- Canberra
- Hobart
- Darwin
- Gold Coast
- Newcastle
- Wollongong
- Cairns
- Geelong
- Townsville
- Sunshine Coast
- Launceston
- Mackay
- Bendigo
- Albury
- Rockhampton
- Tokyo (東京)
- Osaka (大阪)
- Kyoto (京都)
- Yokohama (横浜)
- Sapporo (札幌)
- Nagoya (名古屋)
- Fukuoka (福岡)
- Kobe (神戸)
- Hiroshima (広島)
- Sendai (仙台)
- Kawasaki (川崎)
- Saitama (さいたま)
- Chiba (千葉)
- Kitakyushu (北九州)
- Shizuoka (静岡)
- Okayama (岡山)
- Kumamoto (熊本)
- Nara (奈良)
- Nagasaki (長崎)
- Utsunomiya (宇都宮)
- Taipei (台北)
- Kaohsiung (高雄)
- Taichung (台中)
- Tainan (台南)
- Taoyuan (桃園)
- Hsinchu (新竹)
- Keelung (基隆)
- Chiayi (嘉义)
- Changhua (彰化)
- Miaoli (苗栗)
- Taitung (台东)
- Pingtung (屏东)
- Hualien (花蓮)
- Yilan (宜兰)
- Nantou (南投)
- Yunlin (云林)
- Chiayi City (嘉义市)
- Keelung City (基隆市)
- New Taipei City (新北市)
- Taipei City (台北市)
- Macau (澳門)
- Hong Kong (香港)
- Berlin
- Munich (München)
- Hamburg
- Frankfurt
- Stuttgart
- Dusseldorf (Düsseldorf)
- Cologne (Köln)
- Leipzig
- Dortmund
- Essen | Newcastle | [
"OCR",
"RET",
"3DTF"
] | The English text brings us to an English speaking country or territory. The banner on the left prominently features the words City of Newcastle, indicating that the answer is Newcastle. |
||
36 | Which city is this streetview image from? | [] | This is a list of all possible city names. - Sydney
- Melbourne
- Brisbane
- Perth
- Adelaide
- Canberra
- Hobart
- Darwin
- Gold Coast
- Newcastle
- Wollongong
- Cairns
- Geelong
- Townsville
- Sunshine Coast
- Launceston
- Mackay
- Bendigo
- Albury
- Rockhampton
- Tokyo (東京)
- Osaka (大阪)
- Kyoto (京都)
- Yokohama (横浜)
- Sapporo (札幌)
- Nagoya (名古屋)
- Fukuoka (福岡)
- Kobe (神戸)
- Hiroshima (広島)
- Sendai (仙台)
- Kawasaki (川崎)
- Saitama (さいたま)
- Chiba (千葉)
- Kitakyushu (北九州)
- Shizuoka (静岡)
- Okayama (岡山)
- Kumamoto (熊本)
- Nara (奈良)
- Nagasaki (長崎)
- Utsunomiya (宇都宮)
- Taipei (台北)
- Kaohsiung (高雄)
- Taichung (台中)
- Tainan (台南)
- Taoyuan (桃園)
- Hsinchu (新竹)
- Keelung (基隆)
- Chiayi (嘉义)
- Changhua (彰化)
- Miaoli (苗栗)
- Taitung (台东)
- Pingtung (屏东)
- Hualien (花蓮)
- Yilan (宜兰)
- Nantou (南投)
- Yunlin (云林)
- Chiayi City (嘉义市)
- Keelung City (基隆市)
- New Taipei City (新北市)
- Taipei City (台北市)
- Macau (澳門)
- Hong Kong (香港)
- Berlin
- Munich (München)
- Hamburg
- Frankfurt
- Stuttgart
- Dusseldorf (Düsseldorf)
- Cologne (Köln)
- Leipzig
- Dortmund
- Essen | Newcastle | [
"OCR"
] | The STOP sign and the generally western architecture lead to the conclusion that the photo is taken in an English speaking country. The sign in the front reads Newcastle. Therefore, the answer is Newcastle. |
||
37 | Which city is this streetview image from? | [] | This is a list of all possible city names. - Sydney
- Melbourne
- Brisbane
- Perth
- Adelaide
- Canberra
- Hobart
- Darwin
- Gold Coast
- Newcastle
- Wollongong
- Cairns
- Geelong
- Townsville
- Sunshine Coast
- Launceston
- Mackay
- Bendigo
- Albury
- Rockhampton
- Tokyo (東京)
- Osaka (大阪)
- Kyoto (京都)
- Yokohama (横浜)
- Sapporo (札幌)
- Nagoya (名古屋)
- Fukuoka (福岡)
- Kobe (神戸)
- Hiroshima (広島)
- Sendai (仙台)
- Kawasaki (川崎)
- Saitama (さいたま)
- Chiba (千葉)
- Kitakyushu (北九州)
- Shizuoka (静岡)
- Okayama (岡山)
- Kumamoto (熊本)
- Nara (奈良)
- Nagasaki (長崎)
- Utsunomiya (宇都宮)
- Taipei (台北)
- Kaohsiung (高雄)
- Taichung (台中)
- Tainan (台南)
- Taoyuan (桃園)
- Hsinchu (新竹)
- Keelung (基隆)
- Chiayi (嘉义)
- Changhua (彰化)
- Miaoli (苗栗)
- Taitung (台东)
- Pingtung (屏东)
- Hualien (花蓮)
- Yilan (宜兰)
- Nantou (南投)
- Yunlin (云林)
- Chiayi City (嘉义市)
- Keelung City (基隆市)
- New Taipei City (新北市)
- Taipei City (台北市)
- Macau (澳門)
- Hong Kong (香港)
- Berlin
- Munich (München)
- Hamburg
- Frankfurt
- Stuttgart
- Dusseldorf (Düsseldorf)
- Cologne (Köln)
- Leipzig
- Dortmund
- Essen | Osaka | [
"OCR",
"RET",
"MTLIN"
] | The architecture and Japanese text bring us to a city in Japan. There are some campaign posters on the right. Upon closer inspection, the pink poster has the word 大阪府議会 (Osaka Prefectural Assembly) written on it, suggesting that the photo is taken in Osaka. |
||
38 | Which city is this streetview image from? | [] | This is a list of all possible city names. - Sydney
- Melbourne
- Brisbane
- Perth
- Adelaide
- Canberra
- Hobart
- Darwin
- Gold Coast
- Newcastle
- Wollongong
- Cairns
- Geelong
- Townsville
- Sunshine Coast
- Launceston
- Mackay
- Bendigo
- Albury
- Rockhampton
- Tokyo (東京)
- Osaka (大阪)
- Kyoto (京都)
- Yokohama (横浜)
- Sapporo (札幌)
- Nagoya (名古屋)
- Fukuoka (福岡)
- Kobe (神戸)
- Hiroshima (広島)
- Sendai (仙台)
- Kawasaki (川崎)
- Saitama (さいたま)
- Chiba (千葉)
- Kitakyushu (北九州)
- Shizuoka (静岡)
- Okayama (岡山)
- Kumamoto (熊本)
- Nara (奈良)
- Nagasaki (長崎)
- Utsunomiya (宇都宮)
- Taipei (台北)
- Kaohsiung (高雄)
- Taichung (台中)
- Tainan (台南)
- Taoyuan (桃園)
- Hsinchu (新竹)
- Keelung (基隆)
- Chiayi (嘉义)
- Changhua (彰化)
- Miaoli (苗栗)
- Taitung (台东)
- Pingtung (屏东)
- Hualien (花蓮)
- Yilan (宜兰)
- Nantou (南投)
- Yunlin (云林)
- Chiayi City (嘉义市)
- Keelung City (基隆市)
- New Taipei City (新北市)
- Taipei City (台北市)
- Macau (澳門)
- Hong Kong (香港)
- Berlin
- Munich (München)
- Hamburg
- Frankfurt
- Stuttgart
- Dusseldorf (Düsseldorf)
- Cologne (Köln)
- Leipzig
- Dortmund
- Essen | Osaka | [
"OCR",
"RET",
"MTLIN"
] | The Japanese style signage as well as the fact that the cars drive on the left confirm that the streetview is from Japan. The sign on the expressway viaduct reads 阪神高速 (Hanshin Expressway), Which narrows down the area to Osaka (大阪), Kobe (神戸), and the surrounding area. A sign on the pedestrian overpass reads 大阪歴史博物館 (Osaka History Museum), which strongly suggests that the photo is taken in Osaka. |
||
39 | Which city is this streetview image from? | [] | This is a list of all possible city names. - Sydney
- Melbourne
- Brisbane
- Perth
- Adelaide
- Canberra
- Hobart
- Darwin
- Gold Coast
- Newcastle
- Wollongong
- Cairns
- Geelong
- Townsville
- Sunshine Coast
- Launceston
- Mackay
- Bendigo
- Albury
- Rockhampton
- Tokyo (東京)
- Osaka (大阪)
- Kyoto (京都)
- Yokohama (横浜)
- Sapporo (札幌)
- Nagoya (名古屋)
- Fukuoka (福岡)
- Kobe (神戸)
- Hiroshima (広島)
- Sendai (仙台)
- Kawasaki (川崎)
- Saitama (さいたま)
- Chiba (千葉)
- Kitakyushu (北九州)
- Shizuoka (静岡)
- Okayama (岡山)
- Kumamoto (熊本)
- Nara (奈良)
- Nagasaki (長崎)
- Utsunomiya (宇都宮)
- Taipei (台北)
- Kaohsiung (高雄)
- Taichung (台中)
- Tainan (台南)
- Taoyuan (桃園)
- Hsinchu (新竹)
- Keelung (基隆)
- Chiayi (嘉义)
- Changhua (彰化)
- Miaoli (苗栗)
- Taitung (台东)
- Pingtung (屏东)
- Hualien (花蓮)
- Yilan (宜兰)
- Nantou (南投)
- Yunlin (云林)
- Chiayi City (嘉义市)
- Keelung City (基隆市)
- New Taipei City (新北市)
- Taipei City (台北市)
- Macau (澳門)
- Hong Kong (香港)
- Berlin
- Munich (München)
- Hamburg
- Frankfurt
- Stuttgart
- Dusseldorf (Düsseldorf)
- Cologne (Köln)
- Leipzig
- Dortmund
- Essen | Osaka | [
"OCR",
"RET",
"MTLIN"
] | The Japanese text indicate that the streetview is from Japan. The sign prohibiting bicycle parking on the pole in the left of the photo has the word 大阪市 (City of Osaka) on it, suggesting that the streetview is from Osaka. |
||
40 | Which city is this streetview image from? | [] | This is a list of all possible city names. - Sydney
- Melbourne
- Brisbane
- Perth
- Adelaide
- Canberra
- Hobart
- Darwin
- Gold Coast
- Newcastle
- Wollongong
- Cairns
- Geelong
- Townsville
- Sunshine Coast
- Launceston
- Mackay
- Bendigo
- Albury
- Rockhampton
- Tokyo (東京)
- Osaka (大阪)
- Kyoto (京都)
- Yokohama (横浜)
- Sapporo (札幌)
- Nagoya (名古屋)
- Fukuoka (福岡)
- Kobe (神戸)
- Hiroshima (広島)
- Sendai (仙台)
- Kawasaki (川崎)
- Saitama (さいたま)
- Chiba (千葉)
- Kitakyushu (北九州)
- Shizuoka (静岡)
- Okayama (岡山)
- Kumamoto (熊本)
- Nara (奈良)
- Nagasaki (長崎)
- Utsunomiya (宇都宮)
- Taipei (台北)
- Kaohsiung (高雄)
- Taichung (台中)
- Tainan (台南)
- Taoyuan (桃園)
- Hsinchu (新竹)
- Keelung (基隆)
- Chiayi (嘉义)
- Changhua (彰化)
- Miaoli (苗栗)
- Taitung (台东)
- Pingtung (屏东)
- Hualien (花蓮)
- Yilan (宜兰)
- Nantou (南投)
- Yunlin (云林)
- Chiayi City (嘉义市)
- Keelung City (基隆市)
- New Taipei City (新北市)
- Taipei City (台北市)
- Macau (澳門)
- Hong Kong (香港)
- Berlin
- Munich (München)
- Hamburg
- Frankfurt
- Stuttgart
- Dusseldorf (Düsseldorf)
- Cologne (Köln)
- Leipzig
- Dortmund
- Essen | Perth | [
"OCR"
] | The building on the right has a sign that reads Consulate-General of Malaysia, Perth, Western Australia. Therefore, the answer is Perth. |
||
41 | Which city is this streetview image from? | [] | This is a list of all possible city names. - Sydney
- Melbourne
- Brisbane
- Perth
- Adelaide
- Canberra
- Hobart
- Darwin
- Gold Coast
- Newcastle
- Wollongong
- Cairns
- Geelong
- Townsville
- Sunshine Coast
- Launceston
- Mackay
- Bendigo
- Albury
- Rockhampton
- Tokyo (東京)
- Osaka (大阪)
- Kyoto (京都)
- Yokohama (横浜)
- Sapporo (札幌)
- Nagoya (名古屋)
- Fukuoka (福岡)
- Kobe (神戸)
- Hiroshima (広島)
- Sendai (仙台)
- Kawasaki (川崎)
- Saitama (さいたま)
- Chiba (千葉)
- Kitakyushu (北九州)
- Shizuoka (静岡)
- Okayama (岡山)
- Kumamoto (熊本)
- Nara (奈良)
- Nagasaki (長崎)
- Utsunomiya (宇都宮)
- Taipei (台北)
- Kaohsiung (高雄)
- Taichung (台中)
- Tainan (台南)
- Taoyuan (桃園)
- Hsinchu (新竹)
- Keelung (基隆)
- Chiayi (嘉义)
- Changhua (彰化)
- Miaoli (苗栗)
- Taitung (台东)
- Pingtung (屏东)
- Hualien (花蓮)
- Yilan (宜兰)
- Nantou (南投)
- Yunlin (云林)
- Chiayi City (嘉义市)
- Keelung City (基隆市)
- New Taipei City (新北市)
- Taipei City (台北市)
- Macau (澳門)
- Hong Kong (香港)
- Berlin
- Munich (München)
- Hamburg
- Frankfurt
- Stuttgart
- Dusseldorf (Düsseldorf)
- Cologne (Köln)
- Leipzig
- Dortmund
- Essen | Sendai | [
"OCR",
"RET",
"MTLIN"
] | The Japanese signs indicate that the streetview is from Japan. The large poster on the right features the word 東北電力 (Tohuku Electricity), and narrows the choices down to the Tohuku region in Northeast Japan. On of the signs from the building in the middle has the word 仙台 (Sendai) on it, suggesting that Sendai is the most likely answer. |
||
42 | Which city is this streetview image from? | [] | This is a list of all possible city names. - Sydney
- Melbourne
- Brisbane
- Perth
- Adelaide
- Canberra
- Hobart
- Darwin
- Gold Coast
- Newcastle
- Wollongong
- Cairns
- Geelong
- Townsville
- Sunshine Coast
- Launceston
- Mackay
- Bendigo
- Albury
- Rockhampton
- Tokyo (東京)
- Osaka (大阪)
- Kyoto (京都)
- Yokohama (横浜)
- Sapporo (札幌)
- Nagoya (名古屋)
- Fukuoka (福岡)
- Kobe (神戸)
- Hiroshima (広島)
- Sendai (仙台)
- Kawasaki (川崎)
- Saitama (さいたま)
- Chiba (千葉)
- Kitakyushu (北九州)
- Shizuoka (静岡)
- Okayama (岡山)
- Kumamoto (熊本)
- Nara (奈良)
- Nagasaki (長崎)
- Utsunomiya (宇都宮)
- Taipei (台北)
- Kaohsiung (高雄)
- Taichung (台中)
- Tainan (台南)
- Taoyuan (桃園)
- Hsinchu (新竹)
- Keelung (基隆)
- Chiayi (嘉义)
- Changhua (彰化)
- Miaoli (苗栗)
- Taitung (台东)
- Pingtung (屏东)
- Hualien (花蓮)
- Yilan (宜兰)
- Nantou (南投)
- Yunlin (云林)
- Chiayi City (嘉义市)
- Keelung City (基隆市)
- New Taipei City (新北市)
- Taipei City (台北市)
- Macau (澳門)
- Hong Kong (香港)
- Berlin
- Munich (München)
- Hamburg
- Frankfurt
- Stuttgart
- Dusseldorf (Düsseldorf)
- Cologne (Köln)
- Leipzig
- Dortmund
- Essen | Sendai | [
"OCR",
"MTLIN"
] | The architecture and Japanese text confirm that the image is from Japan. The blue sign to the left of the banner reads 河合塾仙台校, suggesting that it is the branch of a school in Sendai. Therefore, Sendai is the answer to the question. |
||
43 | Which city is this streetview image from? | [] | This is a list of all possible city names. - Sydney
- Melbourne
- Brisbane
- Perth
- Adelaide
- Canberra
- Hobart
- Darwin
- Gold Coast
- Newcastle
- Wollongong
- Cairns
- Geelong
- Townsville
- Sunshine Coast
- Launceston
- Mackay
- Bendigo
- Albury
- Rockhampton
- Tokyo (東京)
- Osaka (大阪)
- Kyoto (京都)
- Yokohama (横浜)
- Sapporo (札幌)
- Nagoya (名古屋)
- Fukuoka (福岡)
- Kobe (神戸)
- Hiroshima (広島)
- Sendai (仙台)
- Kawasaki (川崎)
- Saitama (さいたま)
- Chiba (千葉)
- Kitakyushu (北九州)
- Shizuoka (静岡)
- Okayama (岡山)
- Kumamoto (熊本)
- Nara (奈良)
- Nagasaki (長崎)
- Utsunomiya (宇都宮)
- Taipei (台北)
- Kaohsiung (高雄)
- Taichung (台中)
- Tainan (台南)
- Taoyuan (桃園)
- Hsinchu (新竹)
- Keelung (基隆)
- Chiayi (嘉义)
- Changhua (彰化)
- Miaoli (苗栗)
- Taitung (台东)
- Pingtung (屏东)
- Hualien (花蓮)
- Yilan (宜兰)
- Nantou (南投)
- Yunlin (云林)
- Chiayi City (嘉义市)
- Keelung City (基隆市)
- New Taipei City (新北市)
- Taipei City (台北市)
- Macau (澳門)
- Hong Kong (香港)
- Berlin
- Munich (München)
- Hamburg
- Frankfurt
- Stuttgart
- Dusseldorf (Düsseldorf)
- Cologne (Köln)
- Leipzig
- Dortmund
- Essen | Taichung | [
"OCR",
"RET",
"MTLIN"
] | The signs are all in tradition Chinese, suggesting that the streetview is from Hong Kong, Macau, or Taiwan. The commercial signs on the left does not contain clues to the location. The Medfirst sign on the right has the words 北區忠明藥局 (North District Chung Ming Pharmacy), which provides a name for the district but not the city itself. On the bottom right corner, there is an equipment box with the words 台中市警察局監視系統設備 (Taichung City Police Department Surveillance Equipment), which strongly suggests that the streetview is taken in Taichung, probably in the North District. |
||
44 | Which city is this streetview image from? | [] | This is a list of all possible city names. - Sydney
- Melbourne
- Brisbane
- Perth
- Adelaide
- Canberra
- Hobart
- Darwin
- Gold Coast
- Newcastle
- Wollongong
- Cairns
- Geelong
- Townsville
- Sunshine Coast
- Launceston
- Mackay
- Bendigo
- Albury
- Rockhampton
- Tokyo (東京)
- Osaka (大阪)
- Kyoto (京都)
- Yokohama (横浜)
- Sapporo (札幌)
- Nagoya (名古屋)
- Fukuoka (福岡)
- Kobe (神戸)
- Hiroshima (広島)
- Sendai (仙台)
- Kawasaki (川崎)
- Saitama (さいたま)
- Chiba (千葉)
- Kitakyushu (北九州)
- Shizuoka (静岡)
- Okayama (岡山)
- Kumamoto (熊本)
- Nara (奈良)
- Nagasaki (長崎)
- Utsunomiya (宇都宮)
- Taipei (台北)
- Kaohsiung (高雄)
- Taichung (台中)
- Tainan (台南)
- Taoyuan (桃園)
- Hsinchu (新竹)
- Keelung (基隆)
- Chiayi (嘉义)
- Changhua (彰化)
- Miaoli (苗栗)
- Taitung (台东)
- Pingtung (屏东)
- Hualien (花蓮)
- Yilan (宜兰)
- Nantou (南投)
- Yunlin (云林)
- Chiayi City (嘉义市)
- Keelung City (基隆市)
- New Taipei City (新北市)
- Taipei City (台北市)
- Macau (澳門)
- Hong Kong (香港)
- Berlin
- Munich (München)
- Hamburg
- Frankfurt
- Stuttgart
- Dusseldorf (Düsseldorf)
- Cologne (Köln)
- Leipzig
- Dortmund
- Essen | Tainan | [
"OCR",
"RET",
"MTLIN"
] | The streetview shows a large number of traditional Chinese signs, indicating that the photo is most likely from Hong Kong, Macau or Taiwan, instead of Japan. The signs on the right contain the names and telephone numbers of various stores, but do not narrow down the possible region. The sign on the top left corner is for 和泰產險 台南分公司 (Hotai Insurance Tainan Branch), suggesting that the photo was taken in Tainan. |
||
45 | Which city is this streetview image from? | [] | This is a list of all possible city names. - Sydney
- Melbourne
- Brisbane
- Perth
- Adelaide
- Canberra
- Hobart
- Darwin
- Gold Coast
- Newcastle
- Wollongong
- Cairns
- Geelong
- Townsville
- Sunshine Coast
- Launceston
- Mackay
- Bendigo
- Albury
- Rockhampton
- Tokyo (東京)
- Osaka (大阪)
- Kyoto (京都)
- Yokohama (横浜)
- Sapporo (札幌)
- Nagoya (名古屋)
- Fukuoka (福岡)
- Kobe (神戸)
- Hiroshima (広島)
- Sendai (仙台)
- Kawasaki (川崎)
- Saitama (さいたま)
- Chiba (千葉)
- Kitakyushu (北九州)
- Shizuoka (静岡)
- Okayama (岡山)
- Kumamoto (熊本)
- Nara (奈良)
- Nagasaki (長崎)
- Utsunomiya (宇都宮)
- Taipei (台北)
- Kaohsiung (高雄)
- Taichung (台中)
- Tainan (台南)
- Taoyuan (桃園)
- Hsinchu (新竹)
- Keelung (基隆)
- Chiayi (嘉义)
- Changhua (彰化)
- Miaoli (苗栗)
- Taitung (台东)
- Pingtung (屏东)
- Hualien (花蓮)
- Yilan (宜兰)
- Nantou (南投)
- Yunlin (云林)
- Chiayi City (嘉义市)
- Keelung City (基隆市)
- New Taipei City (新北市)
- Taipei City (台北市)
- Macau (澳門)
- Hong Kong (香港)
- Berlin
- Munich (München)
- Hamburg
- Frankfurt
- Stuttgart
- Dusseldorf (Düsseldorf)
- Cologne (Köln)
- Leipzig
- Dortmund
- Essen | Taoyuan | [
"OCR",
"RET",
"MTLIN"
] | The image contains Japanese text on the left and traditional Chinese text on the right. Considering that the text accompanying the no entry sign is written in traditional Chinese, this is most likely Hong Kong, Macau or Taiwan. The blue sign slightly to the left of center is for 桃園縣觀光協會 (Taoyuan County Tourism Association), suggesting that the photo is taken in Taoyuan. |
||
46 | Which city is this streetview image from? | [] | This is a list of all possible city names. - Sydney
- Melbourne
- Brisbane
- Perth
- Adelaide
- Canberra
- Hobart
- Darwin
- Gold Coast
- Newcastle
- Wollongong
- Cairns
- Geelong
- Townsville
- Sunshine Coast
- Launceston
- Mackay
- Bendigo
- Albury
- Rockhampton
- Tokyo (東京)
- Osaka (大阪)
- Kyoto (京都)
- Yokohama (横浜)
- Sapporo (札幌)
- Nagoya (名古屋)
- Fukuoka (福岡)
- Kobe (神戸)
- Hiroshima (広島)
- Sendai (仙台)
- Kawasaki (川崎)
- Saitama (さいたま)
- Chiba (千葉)
- Kitakyushu (北九州)
- Shizuoka (静岡)
- Okayama (岡山)
- Kumamoto (熊本)
- Nara (奈良)
- Nagasaki (長崎)
- Utsunomiya (宇都宮)
- Taipei (台北)
- Kaohsiung (高雄)
- Taichung (台中)
- Tainan (台南)
- Taoyuan (桃園)
- Hsinchu (新竹)
- Keelung (基隆)
- Chiayi (嘉义)
- Changhua (彰化)
- Miaoli (苗栗)
- Taitung (台东)
- Pingtung (屏东)
- Hualien (花蓮)
- Yilan (宜兰)
- Nantou (南投)
- Yunlin (云林)
- Chiayi City (嘉义市)
- Keelung City (基隆市)
- New Taipei City (新北市)
- Taipei City (台北市)
- Macau (澳門)
- Hong Kong (香港)
- Berlin
- Munich (München)
- Hamburg
- Frankfurt
- Stuttgart
- Dusseldorf (Düsseldorf)
- Cologne (Köln)
- Leipzig
- Dortmund
- Essen | Townsville | [
"OCR"
] | The streetview seems to be from an English speaking country. The board slightly to the left of center contains directions to various places. Zooming in, we can see one of the places is Townsville Bulletin, suggesting that we are in Townsville, Australia. |
||
47 | Which city is this streetview image from? | [] | This is a list of all possible city names. - Sydney
- Melbourne
- Brisbane
- Perth
- Adelaide
- Canberra
- Hobart
- Darwin
- Gold Coast
- Newcastle
- Wollongong
- Cairns
- Geelong
- Townsville
- Sunshine Coast
- Launceston
- Mackay
- Bendigo
- Albury
- Rockhampton
- Tokyo (東京)
- Osaka (大阪)
- Kyoto (京都)
- Yokohama (横浜)
- Sapporo (札幌)
- Nagoya (名古屋)
- Fukuoka (福岡)
- Kobe (神戸)
- Hiroshima (広島)
- Sendai (仙台)
- Kawasaki (川崎)
- Saitama (さいたま)
- Chiba (千葉)
- Kitakyushu (北九州)
- Shizuoka (静岡)
- Okayama (岡山)
- Kumamoto (熊本)
- Nara (奈良)
- Nagasaki (長崎)
- Utsunomiya (宇都宮)
- Taipei (台北)
- Kaohsiung (高雄)
- Taichung (台中)
- Tainan (台南)
- Taoyuan (桃園)
- Hsinchu (新竹)
- Keelung (基隆)
- Chiayi (嘉义)
- Changhua (彰化)
- Miaoli (苗栗)
- Taitung (台东)
- Pingtung (屏东)
- Hualien (花蓮)
- Yilan (宜兰)
- Nantou (南投)
- Yunlin (云林)
- Chiayi City (嘉义市)
- Keelung City (基隆市)
- New Taipei City (新北市)
- Taipei City (台北市)
- Macau (澳門)
- Hong Kong (香港)
- Berlin
- Munich (München)
- Hamburg
- Frankfurt
- Stuttgart
- Dusseldorf (Düsseldorf)
- Cologne (Köln)
- Leipzig
- Dortmund
- Essen | Yokohama | [
"OCR",
"RET",
"MTLIN"
] | The Japanese signage suggest that the streetview is from Japan. The road sign above the traffic light reads Isezaki Police Station Exit, suggesting that we are near Isezaki Police Station but does not provide the name of the city. To the left there is a sign providing directions to a place with 横浜 (Yokohama) in its name, suggesting that the streetview was taken in Yokohama, possibly near Isezaki Police Station. |
||
48 | Which city is this streetview image from? | [] | This is a list of all possible city names. - Sydney
- Melbourne
- Brisbane
- Perth
- Adelaide
- Canberra
- Hobart
- Darwin
- Gold Coast
- Newcastle
- Wollongong
- Cairns
- Geelong
- Townsville
- Sunshine Coast
- Launceston
- Mackay
- Bendigo
- Albury
- Rockhampton
- Tokyo (東京)
- Osaka (大阪)
- Kyoto (京都)
- Yokohama (横浜)
- Sapporo (札幌)
- Nagoya (名古屋)
- Fukuoka (福岡)
- Kobe (神戸)
- Hiroshima (広島)
- Sendai (仙台)
- Kawasaki (川崎)
- Saitama (さいたま)
- Chiba (千葉)
- Kitakyushu (北九州)
- Shizuoka (静岡)
- Okayama (岡山)
- Kumamoto (熊本)
- Nara (奈良)
- Nagasaki (長崎)
- Utsunomiya (宇都宮)
- Taipei (台北)
- Kaohsiung (高雄)
- Taichung (台中)
- Tainan (台南)
- Taoyuan (桃園)
- Hsinchu (新竹)
- Keelung (基隆)
- Chiayi (嘉义)
- Changhua (彰化)
- Miaoli (苗栗)
- Taitung (台东)
- Pingtung (屏东)
- Hualien (花蓮)
- Yilan (宜兰)
- Nantou (南投)
- Yunlin (云林)
- Chiayi City (嘉义市)
- Keelung City (基隆市)
- New Taipei City (新北市)
- Taipei City (台北市)
- Macau (澳門)
- Hong Kong (香港)
- Berlin
- Munich (München)
- Hamburg
- Frankfurt
- Stuttgart
- Dusseldorf (Düsseldorf)
- Cologne (Köln)
- Leipzig
- Dortmund
- Essen | Yokohama | [
"OCR",
"RET",
"MTLIN"
] | The Japanese billboards and shop signs suggest that the streetview is from Japan. The building on the left has two signs that read Yodobashi-Yokohama, suggesting that the photo was taken in Yokohama. |
||
49 | Which city is this streetview image from? | [] | This is a list of all possible city names. - Sydney
- Melbourne
- Brisbane
- Perth
- Adelaide
- Canberra
- Hobart
- Darwin
- Gold Coast
- Newcastle
- Wollongong
- Cairns
- Geelong
- Townsville
- Sunshine Coast
- Launceston
- Mackay
- Bendigo
- Albury
- Rockhampton
- Tokyo (東京)
- Osaka (大阪)
- Kyoto (京都)
- Yokohama (横浜)
- Sapporo (札幌)
- Nagoya (名古屋)
- Fukuoka (福岡)
- Kobe (神戸)
- Hiroshima (広島)
- Sendai (仙台)
- Kawasaki (川崎)
- Saitama (さいたま)
- Chiba (千葉)
- Kitakyushu (北九州)
- Shizuoka (静岡)
- Okayama (岡山)
- Kumamoto (熊本)
- Nara (奈良)
- Nagasaki (長崎)
- Utsunomiya (宇都宮)
- Taipei (台北)
- Kaohsiung (高雄)
- Taichung (台中)
- Tainan (台南)
- Taoyuan (桃園)
- Hsinchu (新竹)
- Keelung (基隆)
- Chiayi (嘉义)
- Changhua (彰化)
- Miaoli (苗栗)
- Taitung (台东)
- Pingtung (屏东)
- Hualien (花蓮)
- Yilan (宜兰)
- Nantou (南投)
- Yunlin (云林)
- Chiayi City (嘉义市)
- Keelung City (基隆市)
- New Taipei City (新北市)
- Taipei City (台北市)
- Macau (澳門)
- Hong Kong (香港)
- Berlin
- Munich (München)
- Hamburg
- Frankfurt
- Stuttgart
- Dusseldorf (Düsseldorf)
- Cologne (Köln)
- Leipzig
- Dortmund
- Essen | Yokohama | [
"OCR",
"RET",
"MTLIN"
] | The streetview is taken on an elevated expressway. The Japanese text in the environment suggest that the photo was taken in Japan. The green road sign in the middle is for the exit leading to Yokohama Station, suggesting that the photo was taken in Yokohama. |
||
50 | Which type of Antarctic orca is shown in the image? Type B1 and type B2 are both considered Type B in this question. | [
"Type A",
"Type B",
"Type C",
"Type D"
] | The image below is a reference sheet for Antarctic orca classification. In our task, you may consider both type B1 and type B2 as a single type (type B). | Type A | [
"3DQNT",
"GNDV",
"MTIMG",
"3DTF"
] | The skin color of the orca is black and white, without the yellowish and greyish hue of type B and type C orcas. This leaves us with type A and type D. The eye patches of the orca seems larger than those found in type D. Therefore, this is most likely a type A orca. |
||
51 | Which type of Antarctic orca is shown in the image? Type B1 and type B2 are both considered Type B in this question. | [
"Type A",
"Type B",
"Type C",
"Type D"
] | The image below is a reference sheet for Antarctic orca classification. In our task, you may consider both type B1 and type B2 as a single type (type B). | Type A | [
"GNDV",
"MTIMG",
"3DTF"
] | Only the saddle patch and the dorsal fin is visible in this image. The saddle patch is greyish and matches the open saddle patch shown in the reference sheet. Therefore, the most likely answer is type A. |
||
52 | Which type of Antarctic orca is shown in the image? Type B1 and type B2 are both considered Type B in this question. | [
"Type A",
"Type B",
"Type C",
"Type D"
] | The image below is a reference sheet for Antarctic orca classification. In our task, you may consider both type B1 and type B2 as a single type (type B). | Type A | [
"3DQNT",
"GNDV",
"MTIMG"
] | The stark black and white coloration rules out type B and type C, which are usually greyish and yellowish. The eye patch is of moderate size, ruling out type D, which are characterized by tiny eye patches. Therefore, the most likely answer is type A. |
||
53 | Which type of Antarctic orca is shown in the image? Type B1 and type B2 are both considered Type B in this question. | [
"Type A",
"Type B",
"Type C",
"Type D"
] | The image below is a reference sheet for Antarctic orca classification. In our task, you may consider both type B1 and type B2 as a single type (type B). | Type A | [
"3DQNT",
"GNDV",
"MTIMG"
] | The shape of the eye patch and the stark black and white coloration of the orca aligns most closely with type A. |
||
54 | Which type of Antarctic orca is shown in the image? Type B1 and type B2 are both considered Type B in this question. | [
"Type A",
"Type B",
"Type C",
"Type D"
] | The image below is a reference sheet for Antarctic orca classification. In our task, you may consider both type B1 and type B2 as a single type (type B). | Type A | [
"3DQNT",
"GNDV",
"MTIMG",
"3DTF"
] | The shape of the eye patch and the saddle patch, coupled with the stark black and white coloration, makes this a type A orca. |
||
55 | Which type of Antarctic orca is shown in the image? Type B1 and type B2 are both considered Type B in this question. | [
"Type A",
"Type B",
"Type C",
"Type D"
] | The image below is a reference sheet for Antarctic orca classification. In our task, you may consider both type B1 and type B2 as a single type (type B). | Type B | [
"3DQNT",
"GNDV",
"MTIMG",
"3DTF"
] | The greyish hue as well as the pronounced lump in the head makes this a type B orca. The gradually fading trailing edge of the eye patch further confirms this. |
||
56 | Which type of Antarctic orca is shown in the image? Type B1 and type B2 are both considered Type B in this question. | [
"Type A",
"Type B",
"Type C",
"Type D"
] | The image below is a reference sheet for Antarctic orca classification. In our task, you may consider both type B1 and type B2 as a single type (type B). | Type B | [
"3DQNT",
"GNDV",
"MTIMG",
"3DTF"
] | The gradually fading trailing edge of the eye patch, and the fact that the saddle patch continues as a thin line over the eye patch makes it a type B orca. |
||
57 | Which type of Antarctic orca is shown in the image? Type B1 and type B2 are both considered Type B in this question. | [
"Type A",
"Type B",
"Type C",
"Type D"
] | The image below is a reference sheet for Antarctic orca classification. In our task, you may consider both type B1 and type B2 as a single type (type B). | Type B | [
"3DQNT",
"GNDV",
"MTIMG",
"3DTF"
] | The gradually fading trailing edge of the eye patch, the yellowish hue of the eye patch, as well as the lump in the forehead makes type B the most likely answer. |
||
58 | Which type of Antarctic orca is shown in the image? Type B1 and type B2 are both considered Type B in this question. | [
"Type A",
"Type B",
"Type C",
"Type D"
] | The image below is a reference sheet for Antarctic orca classification. In our task, you may consider both type B1 and type B2 as a single type (type B). | Type B | [
"3DQNT",
"GNDV",
"MTIMG"
] | The yellowish hue of the eye patch and saddle patch, as well as the fact that the saddle patch extends well over the eye patch, makes this a type B or type C orca. The shape and angle of the eye patch aligns with type B. Therefore, this is most likely a type B orca. |
||
59 | Which type of Antarctic orca is shown in the image? Type B1 and type B2 are both considered Type B in this question. | [
"Type A",
"Type B",
"Type C",
"Type D"
] | The image below is a reference sheet for Antarctic orca classification. In our task, you may consider both type B1 and type B2 as a single type (type B). | Type B | [
"3DQNT",
"GNDV",
"MTIMG",
"3DTF"
] | The lump in the forehead, coupled with a large eye patch that fades at the trailing edges, makes this a type B orca. |
||
60 | Which type of Antarctic orca is shown in the image? Type B1 and type B2 are both considered Type B in this question. | [
"Type A",
"Type B",
"Type C",
"Type D"
] | The image below is a reference sheet for Antarctic orca classification. In our task, you may consider both type B1 and type B2 as a single type (type B). | Type C | [
"3DQNT",
"GNDV",
"MTIMG",
"3DTF"
] | The yellowish hue of the eye patch, as well as its small size and forward slanting angle, makes the orcas in this image type C. |
||
61 | Which type of Antarctic orca is shown in the image? Type B1 and type B2 are both considered Type B in this question. | [
"Type A",
"Type B",
"Type C",
"Type D"
] | The image below is a reference sheet for Antarctic orca classification. In our task, you may consider both type B1 and type B2 as a single type (type B). | Type C | [
"3DQNT",
"GNDV",
"MTIMG",
"3DTF"
] | The yellowish hue on the white parts of this orca makes this a type B or type C. The forward slant and small size of the eye patch lead to the conclusion that this a type C orca. |
||
62 | Which type of Antarctic orca is shown in the image? Type B1 and type B2 are both considered Type B in this question. | [
"Type A",
"Type B",
"Type C",
"Type D"
] | The image below is a reference sheet for Antarctic orca classification. In our task, you may consider both type B1 and type B2 as a single type (type B). | Type C | [
"3DQNT",
"GNDV",
"MTIMG"
] | The very pronounced forward slant of the eye patch makes these orca type C. |
||
63 | Which type of Antarctic orca is shown in the image? Type B1 and type B2 are both considered Type B in this question. | [
"Type A",
"Type B",
"Type C",
"Type D"
] | The image below is a reference sheet for Antarctic orca classification. In our task, you may consider both type B1 and type B2 as a single type (type B). | Type C | [
"3DQNT",
"GNDV",
"MTIMG",
"3DTF"
] | The yellowish hue on the white parts makes these orca type B or type C. The small and forward slanted eye patches confirm that these are type C orcas. |
||
64 | Which type of Antarctic orca is shown in the image? Type B1 and type B2 are both considered Type B in this question. | [
"Type A",
"Type B",
"Type C",
"Type D"
] | The image below is a reference sheet for Antarctic orca classification. In our task, you may consider both type B1 and type B2 as a single type (type B). | Type C | [
"3DQNT",
"GNDV",
"MTIMG"
] | The forward slant of the eye patch matches perfectly with those typicaly found in type C orcas. |
||
65 | Which type of Antarctic orca is shown in the image? Type B1 and type B2 are both considered Type B in this question. | [
"Type A",
"Type B",
"Type C",
"Type D"
] | The image below is a reference sheet for Antarctic orca classification. In our task, you may consider both type B1 and type B2 as a single type (type B). | Type D | [
"3DQNT",
"GNDV",
"MTIMG"
] | The tiny eye patch, combined with a stark black and white coloration, makes this orca a type D |
||
66 | Which type of Antarctic orca is shown in the image? Type B1 and type B2 are both considered Type B in this question. | [
"Type A",
"Type B",
"Type C",
"Type D"
] | The image below is a reference sheet for Antarctic orca classification. In our task, you may consider both type B1 and type B2 as a single type (type B). | Type D | [
"3DQNT",
"GNDV",
"MTIMG",
"3DTF"
] | The tiny eye patch and the large dorsal fin make this a type D orca. |
||
67 | Which type of Antarctic orca is shown in the image? Type B1 and type B2 are both considered Type B in this question. | [
"Type A",
"Type B",
"Type C",
"Type D"
] | The image below is a reference sheet for Antarctic orca classification. In our task, you may consider both type B1 and type B2 as a single type (type B). | Type D | [
"3DQNT",
"GNDV",
"MTIMG",
"3DTF"
] | The tiny eye patch and the very tall dorsal fin are characteristic of type D orcas. |
||
68 | Which type of Antarctic orca is shown in the image? Type B1 and type B2 are both considered Type B in this question. | [
"Type A",
"Type B",
"Type C",
"Type D"
] | The image below is a reference sheet for Antarctic orca classification. In our task, you may consider both type B1 and type B2 as a single type (type B). | Type D | [
"3DQNT",
"GNDV",
"MTIMG"
] | The tiny eye patch, very tall dorsal fin, and faint saddle patch all match perfectly with type D. |
||
69 | For a person heading to Narita Airport (成田空港), which way should they go? | [
"Turn left",
"Go forward on the path on the right",
"Turn right",
"Turn around"
] | Turn left | [
"RET",
"OCR",
"UCV",
"RLA"
] | The signage has an airport logo on it. Upon further inspection, it is indeed for the Narita Express. Following the sign, the person should turn left and get on the Narita Express on platform 5 or 6. |
|||
70 | For a person heading to Narita Airport (成田空港), which way should they go? | [
"Turn left",
"Go forward",
"Turn right and go through the ticket gates",
"Turn around"
] | Turn left | [
"RET",
"OCR",
"UCV",
"3DTF",
"RLA",
"MTLIN"
] | The signage has an airport logo on it. Upon further inspection, it is indeed for the Narita Express. Following the sign, the person should turn left and get on the Narita Express on platform 5 or 6. |
|||
71 | For a person heading to the Fushimi Inari Shrine (伏見稲荷大社), which way should they go? | [
"Turn left",
"Go forward down the path",
"Turn right",
"Turn around"
] | The station closest to the Fushimi Inari Shrine is Inari (稲荷) | Go forward down the path | [
"RET",
"OCR",
"UCV",
"3DTF",
"RLA"
] | The sign on the right has the words 'for Inari, Uji, Nara' on the tab for platforms 8 to 10. Following the sign, the person should go straight forward down the path. |
||
72 | For a person heading to Narita Airport (成田空港), which way should they go? | [
"Turn left",
"Go forward down the path",
"Turn right",
"Turn around"
] | Go forward down the path | [
"RET",
"OCR",
"UCV",
"RLA",
"MTLIN"
] | The signs pointing to the left contain no reference to Narita Airport. The sign in the center for deep blue line has an airport symbol and the word 成田空港 on it. Therefore, the person should follow the sign and go straight forward. |
|||
73 | For a wheelchair user heading to Wakayama (和歌山), which way should they go? | [
"Turn left",
"Go forward down the escalators",
"Move to the right and then go forward",
"Turn around"
] | Move to the right and then go forward | [
"RET",
"OCR",
"UCV",
"RLA"
] | We first need to establish which line the person should take. The sign on the left suggest that, for Wakayama, we should take the lines labeled 'R' or 'S'. The sign on top suggest that these lines are the Hanwa Line and Kansai Airport Line. The sign on the top right corner indicate that, for these lines, a wheelchair accessible route can be reached by moving to the right and then go forward. That is the correct way for the wheelchair user heading to Wakayama. |
|||
74 | For a wheelchair user heading to Shikoku (四国), which way should they go? | [
"Use the elevator on the left",
"Go forward down the path",
"Turn right",
"Turn around"
] | Use the elevator on the left | [
"RET",
"OCR",
"UCV",
"3DTF",
"RLA"
] | First, we need to know which platform the person should go to. The sign on the top clearly indicates that the trains to Shikoku is on platforms 5, 6, 7, and 8. For a wheelchair user, the elevator on the left, which leads to the correct platforms, is most suitable. |
|||
75 | For a person heading to Kansai Airport (関西空港), which way should they go? | [
"Go up the stairs on the left",
"Go forward down the path",
"Go up the stairs on the right",
"Turn around"
] | Turn around | [
"RET",
"OCR",
"UCV",
"3DTF",
"RLA"
] | The sign on the column suggest that the trains for Kansai Airport is on platform 30, and the person should turn around to get to that platform. |
|||
76 | For a person heading to Haneda Airport (羽田空港), which way should they go? | [
"Go forward and then turn left",
"Go forward down the path",
"Turn right",
"Turn around"
] | Haneda Airport is connected to the Tokyo Monorail (東京モノレール) and the Keikyu Line (京急線) | Go forward and then turn left | [
"RET",
"OCR",
"UCV",
"RLA",
"MTLIN"
] | The sign on the top left provides a direction for the Keikyu line, which goes to Haneda Airport. Following the direction on that sign, the person should go forward and then turn left. |
||
77 | For a wheelchair user heading to Narita Airport (成田空港), which way should they go? | [
"Turn left",
"Use the first (nearer) elevator",
"Use the second (farther) elevator",
"Go forward past the second elevator"
] | Narita Airport is connected to the Narita Line (成田線), Keisei Line (京成線), Narita Express (成田エクスプレス), and Skyliner (スカイライナー) services. | Use the second (farther) elevator | [
"RET",
"OCR",
"UCV",
"3DTF",
"RLA"
] | We first need to find the platform for the Narita Line, Keisei Line, Narita Express, or Skyliner services. The sign in the middle indicates that Narita Line trains are on platforms 9 - 12. In addition, the Narita Line has turquoise as its color code. Upon closer inspection, the farther elevator leads to some of the correct platforms (9 and 10) and there is turquoise on the sign of the elevator. Therefore, taking the second (farther) elevator is the best option for the wheelchair user. |
||
78 | For a person heading to Narita Airport (成田空港), which way should they go? | [
"Turn left",
"Go up the escalators",
"Go through the fare gates",
"Turn right"
] | Turn left | [
"RET",
"OCR",
"UCV",
"RLA"
] | The sign clearly shows that the Narita Express is to the person's left. The airport symbol on the sign further confirms that the correct option is turning left. |
|||
79 | For a person heading to Kansai Airport (関西空港), which way should they go? | [
"Use the elevator on the left",
"Go forward",
"Turn right",
"Turn around"
] | Use the elevator on the left | [
"RET",
"OCR",
"UCV",
"3DTF",
"RLA"
] | The elevator on the left has a sign that reads 'Kansai Airport'. Therefore, the person should take the elevator on the left. |
|||
80 | For a wheelchair user heading to Tokyo Skytree (東京スカイツリー), which way should they go? | [
"Turn left",
"Go forward",
"Go down the stairs on the left",
"Turn right"
] | The station closest to Tokyo Skytree is Oshiage (押上). | Turn left | [
"RET",
"OCR",
"UCV",
"3DTF",
"RLA"
] | The screen in the middle shows that the purple line (Hanzomon Line) goes to Oshiage. Following the directions on the column, one way to reach the Hanzomon Line is through the stairs on the right, but it is not suitable for the wheelchair user. On the column in the left, the sign indicates that elevators C and D, which are more suitable for a wheelchair user, lead to the Hanzomon Line, too. Therefore, the wheelchair user should follow that sign and turn left. |
||
81 | For a person heading to Kansai Airport (関西空港), which way should they go? | [
"Turn left",
"Go forward",
"Turn right and go through the ticket gates",
"Turn around"
] | Turn around | [
"RET",
"OCR",
"UCV",
"3DTF",
"RLA"
] | Following the sign on the top left, the person should turn around and head to platforms 1 and 2, which have trains to Kansai Airport. |
|||
82 | A person is following the directions shown in image 1. They are currently at Akihabara Station, and image 2 is their first person view. Which way should they go? | [
"Turn left",
"Use the escalator on the left",
"Use the escalator on the right",
"Turn right"
] | Use the escalator on the left | [
"RET",
"OCR",
"UCV",
"RLA",
"MTIMG"
] | According to image 1, the person should take the local train heading to Omiya on the Keihin Tohuku Line at Akihabara, which stops at platform 1. According to the signs, the elevator on the left leads to platform 1, therefore the person should take the elevator on the left. |
|||
83 | A person is following the directions shown in image 1. They are currently at Shimbashi Station, and image 2 is their first person view. Which way should they go? | [
"Go down the stairs on the left",
"Go forward through the ticket gates",
"Go down the stairs on the right",
"Turn around"
] | Go down the stairs on the left | [
"RET",
"OCR",
"UCV",
"3DTF",
"RLA",
"MTIMG"
] | According to image 1, the person should head to platform 1 at Shimbashi Station and take the local train on the Ginza Line that heads to Shibuya. The sign in the middle clearly shows that the stairs on the left leads to platform 1 and trains to Shibuya. Therefore, the person should go down the stairs on the left. |
|||
84 | A person is following the directions shown in image 1. They are currently at Shinagawa Station, and image 2 is their first person view. Which way should they go? | [
"Go down the stairs on the left",
"Turn left and go past the stairs on the left",
"Go forward down the path",
"Turn right and go past the stairs on the right"
] | Go down the stairs on the left | [
"RET",
"OCR",
"UCV",
"RLA",
"MTIMG"
] | According to image 1, the person should head to platform 6 at Shinagawa and take the local train on the Ueno-Tokyo Line heading to Utsunomiya. The sign on the top left prominently shows that the stairs on the left lead to platform 6. The sign in the middle further confirms that platform 6 is indeed for the Ueno-Tokyo Line. Therefore, the person should go down the stairs on the left. |
|||
85 | A person is following the directions shown in image 1. They are currently at Otemachi Station, and image 2 is their first person view. Which way should they go? | [
"Turn left and go through the ticket gates",
"go past the ticket gates and then turn left",
"Go forward down the path",
"Turn around"
] | Go forward down the path | [
"RET",
"OCR",
"UCV",
"3DTF",
"RLA",
"MTIMG"
] | According to image 1, the person should head to platform 1 at Otemachi Station and take the local train on the Mita Line heading to Hiyoshi. The sign in the middle shows that the person should go forward to reach the Mita Line. |
|||
86 | A person is following the directions shown in image 1. They are currently at Osaka Umeda Station, and image 2 is their first person view. Which way should they go? | [
"Go through the ticket gates and turn left",
"Go through the ticket gates and down the path ahead",
"Go through the ticket gates and turn right",
"Turn around"
] | Go through the ticket gates and turn right | [
"RET",
"OCR",
"UCV",
"RLA",
"MTIMG"
] | According to image 1, the person should take the Hanshin Line at Osaka Umeda Station. The sign on the right indicates that the person should turn right to reach the Hanshin Line. Therefore, they should go through the ticket gates and turn right. |
|||
87 | A person is following the directions shown in image 1. They are currently at Shin-Osaka Station, and image 2 is their first person view. Which way should they go? | [
"Turn left",
"Go down the path on the left",
"Turn right",
"Turn around"
] | Turn right | [
"RET",
"OCR",
"UCV",
"RLA",
"MTIMG"
] | According to image 1, the person should head to platform 26 at Shin-Osaka Station and take the Nozomi 222 train on the Tokaido Shinkansen. The sign on the column indicates that the person should turn right to reach the Shinkansen platforms. |
|||
88 | A person is following the directions shown in image 1. They are currently at Kyoto Station, and image 2 is their first person view. Which way should they go? | [
"Turn left",
"Go forward down the path",
"Go up the stairs on the right",
"Turn around"
] | Go forward down the path | [
"RET",
"OCR",
"UCV",
"3DTF",
"RLA",
"MTIMG"
] | According to image 1, the person should head to platform 31 at Kyoto Station and take the Hashidate 1 Limited Express train to Amanohashidate. The sign on the column on the left indicates that the person should go forward down the path to reach platforms 31 - 33. |
|||
89 | A person is following the directions shown in image 1. They are currently at Tennoji Station, and image 2 is their first person view. Which way should they go? | [
"Turn around",
"Go down the escalator and get on car 3",
"Go down the escalator and get on car 5",
"Go down the escalator and get on car 7"
] | On some Japanese train services, different carriages might be separated during the journey and end up in different destinations | Go down the escalator and get on car 3 | [
"RET",
"OCR",
"UCV",
"RLA",
"MTIMG"
] | According to image 1, the person should head to platform 15 at Tennoji Station and take the Kanku-Rapid Kansai-Airport service on the Hanwa Line. The sign in the middle shows that the elevator is indeed for platform 15. The sign shows that different cars on the train heads to different destinations, with cars 1 - 4 heading to Kansai Airport. Therefore, the only correct option is to go down the escalator and get on car 3. |
||
90 | A wheelchair user is following the directions shown in image 1. They are currently at Tokyo Station, and image 2 is their first person view. Which way should they go? | [
"Turn left",
"Use the elevator on the left",
"Go forward down the path",
"Turn right"
] | Use the elevator on the left | [
"RET",
"OCR",
"UCV",
"RLA",
"MTIMG"
] | According to image 1, the person should head to platform 4 at Tokyo Station and take the rapid train on the Sobu Line to Narita Airport. Since the person is a wheelchair user, elevators and stairs are out of the question. The signs indicate that the elevator on the left also leads to the Yokosuka·Sobu (Rapid) Line. Therefore, the person should use the elevator on the left. |
|||
91 | A wheelchair user is following the directions shown in image 1. They are currently at Shinjuku Station, and image 2 is their first person view. Which way should they go? | [
"Turn left",
"Go through the ticket gates and down the path ahead",
"Go through the ticket gates and turn right",
"Turn around"
] | Go through the ticket gates and turn right | [
"RET",
"OCR",
"UCV",
"3DTF",
"RLA",
"MTIMG"
] | According to image 1, the person should head to platform 6 at Shinjuku station and take the local train on the Oedo Line heading to Tocho-Mae via Roppongi/Daimon. The sign on the top left shows that platform 6 is to our left, but is not for the Oedo Line. The sign in the middle indicates that, in order to get to the Oedo Line, the person should go through the ticket gates and turn right. The discrepancy in platform number is probably caused by JR and Toei Subway numbering the platforms separately. |
|||
92 | A person is following the directions shown in image 1. They are currently at Osaka Station, and image 2 is their first person view. Which way should they go? | [
"Go through the ticket gates and turn left",
"Go through the ticket gates and up the stairs ahead",
"Go through the ticket gates and turn right",
"Turn around, this is the wrong ticket gate"
] | Go through the ticket gates and turn left | [
"RET",
"OCR",
"UCV",
"RLA",
"MTIMG"
] | According to image 1, the person should head to platform 8 and take the Special Rapid Kusatsu service on the Tokaido-Sanyo Line to Kyoto. The sign on the column clearly indicates that platforms 1 - 8 are on our left. Therefore, the person should go through the ticket gates and turn left. |
|||
93 | A person is following the directions shown in image 1. They are currently at Osaka Station, and image 2 is their first person view. Which way should they go? | [
"Turn left",
"Go down the stairs on the left",
"Turn right",
"Turn around, this is the wrong area of the station"
] | Turn right | [
"RET",
"OCR",
"UCV",
"3DTF",
"RLA",
"MTIMG"
] | According to image 1, the person should head to platform 2 at Osaka Station and take the Kishuji Rapid service to Tennoji on the Osaka Loop Line. The sign in the middle clearly shows that platform 2 and the Osaka Loop line is to the right. Therefore, the person should turn right. |
|||
94 | A person is following the directions shown in image 1. They are currently at Kyoto Station, and image 2 is their first person view. Which way should they go? | [
"Go forward on the same floor",
"Go down the stairs",
"Go to the platform on the right",
"Turn around"
] | Go down the stairs | [
"RET",
"OCR",
"UCV",
"RLA",
"MTIMG"
] | According to image 1, the person should head to platform 2 and take the local train on the Karasuma Line heading to Kokusaikaikan. The yellow sign for Underground East Exit shows that the exit leads to the Subway Karasuma Line. Therefore, the person should follow the sign and go down the stairs. |
|||
95 | A person is following the directions shown in image 1. They are currently at Ueno Station, and image 2 is their first person view. Which way should they go? | [
"Turn left",
"Go straight forward",
"Turn right",
"Turn around"
] | Go straight forward | [
"RET",
"OCR",
"UCV",
"RLA",
"MTIMG"
] | According to image 1, the person should head to platform 15 at Ueno Station and take the local train on the Takasaki Line heading to Kagohara. The sign in the middle clearly indicates that platforms 13 - 15 and the Takasaki Line is in front of the person. Therefore, they should go straight forward. |
|||
96 | A person is following the directions shown in image 1. They are currently at Ueno Station, and image 2 is their first person view. Which way should they go? | [
"Go down the stairs on the left",
"Go straight forward",
"Go down the stairs on the right",
"Use the first (nearest) elevator"
] | Go straight forward | [
"RET",
"OCR",
"UCV",
"3DTF",
"RLA",
"MTIMG"
] | According to image 1, the person should head to platform 11 at Ueno Station and take the rapid service on the Joban Line heading to Toride. The sign in the middle clearly indicates that platform 11 and the Joban Line is in front of the person. Therefore, they should keep going forward. |
|||
97 | What is the total score of the 5 arrows on the target? | [] | The yellow circle in the center and the ring around it is the area for 10. The outer yellow ring is the area for 9. The inner red ring is the area for 8. The outer red ring is the area for 7. The outer blue ring is the area for 6. An arrow hitting all other areas count as a miss and get no score. If an arrow impacts the target on the boundary of two different areas, it counts as hitting the area with the higher score. | 50 | [
"RLA",
"GNDT",
"MATH"
] | Of the 5 arrows, 2 are inside the central yellow circle and 3 landed in the yellow ring around the central circle. The total score is 5 * 10 = 50. |
||
98 | What is the total score of the 8 arrows on the target? | [] | The yellow circle in the center and the ring around it is the area for 10. The outer yellow ring is the area for 9. The inner red ring is the area for 8. The outer red ring is the area for 7. The outer blue ring is the area for 6. An arrow hitting all other areas count as a miss and get no score. If an arrow impacts the target on the boundary of two different areas, it counts as hitting the area with the higher score. | 73 | [
"RLA",
"GNDT",
"MATH"
] | Of the 8 arrows, 2 landed in the yellow ring surrounding the central circle, 5 landed in the outer yellow ring, and 1 landed in the inner red ring. The total score is 2 * 10 + 5 * 9 + 1 * 8 = 73. |
||
99 | What is the total score of the 8 arrows on the target? | [] | The yellow circle in the center and the ring around it is the area for 10. The outer yellow ring is the area for 9. The inner red ring is the area for 8. The outer red ring is the area for 7. The outer blue ring is the area for 6. An arrow hitting all other areas count as a miss and get no score. If an arrow impacts the target on the boundary of two different areas, it counts as hitting the area with the higher score. | 75 | [
"RLA",
"GNDT",
"MATH"
] | Of the 8 arrows, 2 landed in the central yellow circle, 1 landed on the circle's border with the inner yellow ring, 4 landed in the outer yellow ring, and 1 landed in the border between the yellow and red areas. The final score is 3 * 10 + 5 * 9 = 75. |
MOAT: Evaluating LMMs for Capability Integration and Instruction Grounding
Overview
MOAT (Multimodal model Of All Trades) is a challenging benchmark for large multimodal models (LMMs). It consists of vision language (VL) tasks that require the LMM to integrate several VL capabilities and engage in human-like generalist visual problem solving. Moreover, many tasks in MOAT focus on LMMs' capability to ground complex text and visual instructions, which is crucial for the application of LMMs in-the-wild. Developing on the VL capability taxonomies proposed in previous benchmark papers, we define 10 fundamental VL capabilities in MOAT.
Please check out our GitHub repo for further information.
Usage
Please check out our GitHub repo for detail usage.
Run Your Own Evaluation
You can access our dataset with the following code:
from datasets import load_dataset
dataset = load_dataset("waltsun/MOAT", split='test')
As some questions are formatted as interleaved text and image(s), we recommend referring to the ./inference/eval_API.py
file in our GitHub repo for the correct way to query the LMM.
Column Description
index
: The index of the question in the dataset.question
: The question text.choices
: A list of the answer choices. Can be empty.images
: The list of PIL images.outside_knowledge_text
: The essential information for answering the question. Optional.outside_knowledge_images
: The list of PIL images that are essential for answering the question. Can be empty.answer
: The correct answer.capability
: The VL capabilities required to answer the question. A list of strings.human_cot
: The human annotation for the CoT reasoning process.
Future Work
Going forward, we intend to further increase the diversity of the tasks in MOAT, involving more capability combinations and encompassing more domains and scenarios. Stay tuned!
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