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c000058 | q000083 | seed_2 | images/chartmuseum_dev/seed_2/c000058.png | Based on these three maps, in how many states do less than 50% of Americans believe that all three levels of government (Congress, the President, and their Governor) should do more about global warming? | 21 | chart_data/chartmuseum_dev/seed_2/c000058.json | chartmuseum_dev | 91 |
c000058 | q000083 | seed_3 | images/chartmuseum_dev/seed_3/c000058.png | Based on these three maps, in how many states do less than 50% of Americans believe that all three levels of government (Congress, the President, and their Governor) should do more about global warming? | 20 | chart_data/chartmuseum_dev/seed_3/c000058.json | chartmuseum_dev | 91 |
c000058 | q000083 | seed_4 | images/chartmuseum_dev/seed_4/c000058.png | Based on these three maps, in how many states do less than 50% of Americans believe that all three levels of government (Congress, the President, and their Governor) should do more about global warming? | 8 | chart_data/chartmuseum_dev/seed_4/c000058.json | chartmuseum_dev | 91 |
c000058 | q000083 | seed_5 | images/chartmuseum_dev/seed_5/c000058.png | Based on these three maps, in how many states do less than 50% of Americans believe that all three levels of government (Congress, the President, and their Governor) should do more about global warming? | 7 | chart_data/chartmuseum_dev/seed_5/c000058.json | chartmuseum_dev | 91 |
c000058 | q000083 | seed_6 | images/chartmuseum_dev/seed_6/c000058.png | Based on these three maps, in how many states do less than 50% of Americans believe that all three levels of government (Congress, the President, and their Governor) should do more about global warming? | 14 | chart_data/chartmuseum_dev/seed_6/c000058.json | chartmuseum_dev | 91 |
c000058 | q000083 | seed_7 | images/chartmuseum_dev/seed_7/c000058.png | Based on these three maps, in how many states do less than 50% of Americans believe that all three levels of government (Congress, the President, and their Governor) should do more about global warming? | 0 | chart_data/chartmuseum_dev/seed_7/c000058.json | chartmuseum_dev | 91 |
c000058 | q000083 | seed_8 | images/chartmuseum_dev/seed_8/c000058.png | Based on these three maps, in how many states do less than 50% of Americans believe that all three levels of government (Congress, the President, and their Governor) should do more about global warming? | 0 | chart_data/chartmuseum_dev/seed_8/c000058.json | chartmuseum_dev | 91 |
c000058 | q000083 | seed_9 | images/chartmuseum_dev/seed_9/c000058.png | Based on these three maps, in how many states do less than 50% of Americans believe that all three levels of government (Congress, the President, and their Governor) should do more about global warming? | 18 | chart_data/chartmuseum_dev/seed_9/c000058.json | chartmuseum_dev | 91 |
c000059 | q000084 | original | This chart shows the regional relationships in the Syrian conflict. Which countries and entities are shown to support Turkey? | Russia and USA | chartmuseum_dev | 87 | ||
c000059 | q000084 | reconstruction | images/chartmuseum_dev/reconstruction/c000059.png | This chart shows the regional relationships in the Syrian conflict. Which countries and entities are shown to support Turkey? | Russia, USA | chart_data/chartmuseum_dev/reconstruction/c000059.json | chartmuseum_dev | 87 |
c000059 | q000084 | seed_0 | images/chartmuseum_dev/seed_0/c000059.png | This chart shows the regional relationships in the Syrian conflict. Which countries and entities are shown to support Turkey? | GCC*, Russia, USA | chart_data/chartmuseum_dev/seed_0/c000059.json | chartmuseum_dev | 87 |
c000059 | q000084 | seed_1 | images/chartmuseum_dev/seed_1/c000059.png | This chart shows the regional relationships in the Syrian conflict. Which countries and entities are shown to support Turkey? | GCC*, Russia | chart_data/chartmuseum_dev/seed_1/c000059.json | chartmuseum_dev | 87 |
c000059 | q000084 | seed_2 | images/chartmuseum_dev/seed_2/c000059.png | This chart shows the regional relationships in the Syrian conflict. Which countries and entities are shown to support Turkey? | Free Syrian Army, Syrian Government, USA | chart_data/chartmuseum_dev/seed_2/c000059.json | chartmuseum_dev | 87 |
c000059 | q000084 | seed_3 | images/chartmuseum_dev/seed_3/c000059.png | This chart shows the regional relationships in the Syrian conflict. Which countries and entities are shown to support Turkey? | Free Syrian Army, GCC* | chart_data/chartmuseum_dev/seed_3/c000059.json | chartmuseum_dev | 87 |
c000059 | q000084 | seed_4 | images/chartmuseum_dev/seed_4/c000059.png | This chart shows the regional relationships in the Syrian conflict. Which countries and entities are shown to support Turkey? | GCC*, Other Islamic Groups, USA | chart_data/chartmuseum_dev/seed_4/c000059.json | chartmuseum_dev | 87 |
c000059 | q000084 | seed_5 | images/chartmuseum_dev/seed_5/c000059.png | This chart shows the regional relationships in the Syrian conflict. Which countries and entities are shown to support Turkey? | Free Syrian Army, Other Islamic Groups, Russia, USA | chart_data/chartmuseum_dev/seed_5/c000059.json | chartmuseum_dev | 87 |
c000059 | q000084 | seed_6 | images/chartmuseum_dev/seed_6/c000059.png | This chart shows the regional relationships in the Syrian conflict. Which countries and entities are shown to support Turkey? | Russia, Syrian Government | chart_data/chartmuseum_dev/seed_6/c000059.json | chartmuseum_dev | 87 |
c000059 | q000084 | seed_7 | images/chartmuseum_dev/seed_7/c000059.png | This chart shows the regional relationships in the Syrian conflict. Which countries and entities are shown to support Turkey? | Free Syrian Army, GCC*, Russia, USA | chart_data/chartmuseum_dev/seed_7/c000059.json | chartmuseum_dev | 87 |
c000059 | q000084 | seed_8 | images/chartmuseum_dev/seed_8/c000059.png | This chart shows the regional relationships in the Syrian conflict. Which countries and entities are shown to support Turkey? | GCC*, Russia, USA | chart_data/chartmuseum_dev/seed_8/c000059.json | chartmuseum_dev | 87 |
c000059 | q000084 | seed_9 | images/chartmuseum_dev/seed_9/c000059.png | This chart shows the regional relationships in the Syrian conflict. Which countries and entities are shown to support Turkey? | Other Islamic Groups, USA | chart_data/chartmuseum_dev/seed_9/c000059.json | chartmuseum_dev | 87 |
c000060 | q000085 | original | This chart shows the measures uses in psychology research papers as rectanges. Their areas are proportional to how often they are used. Which measure is the 10th most used measure? | TMT | chartmuseum_dev | 25 | ||
c000060 | q000085 | reconstruction | images/chartmuseum_dev/reconstruction/c000060.png | This chart shows the measures uses in psychology research papers as rectanges. Their areas are proportional to how often they are used. Which measure is the 10th most used measure? | TMT | chart_data/chartmuseum_dev/reconstruction/c000060.json | chartmuseum_dev | 25 |
c000060 | q000085 | seed_0 | images/chartmuseum_dev/seed_0/c000060.png | This chart shows the measures uses in psychology research papers as rectanges. Their areas are proportional to how often they are used. Which measure is the 10th most used measure? | SCL-90-R | chart_data/chartmuseum_dev/seed_0/c000060.json | chartmuseum_dev | 25 |
c000060 | q000085 | seed_1 | images/chartmuseum_dev/seed_1/c000060.png | This chart shows the measures uses in psychology research papers as rectanges. Their areas are proportional to how often they are used. Which measure is the 10th most used measure? | RSES | chart_data/chartmuseum_dev/seed_1/c000060.json | chartmuseum_dev | 25 |
c000060 | q000085 | seed_2 | images/chartmuseum_dev/seed_2/c000060.png | This chart shows the measures uses in psychology research papers as rectanges. Their areas are proportional to how often they are used. Which measure is the 10th most used measure? | PHQ-9 | chart_data/chartmuseum_dev/seed_2/c000060.json | chartmuseum_dev | 25 |
c000060 | q000085 | seed_3 | images/chartmuseum_dev/seed_3/c000060.png | This chart shows the measures uses in psychology research papers as rectanges. Their areas are proportional to how often they are used. Which measure is the 10th most used measure? | HADS | chart_data/chartmuseum_dev/seed_3/c000060.json | chartmuseum_dev | 25 |
c000060 | q000085 | seed_4 | images/chartmuseum_dev/seed_4/c000060.png | This chart shows the measures uses in psychology research papers as rectanges. Their areas are proportional to how often they are used. Which measure is the 10th most used measure? | SWLS | chart_data/chartmuseum_dev/seed_4/c000060.json | chartmuseum_dev | 25 |
c000060 | q000085 | seed_5 | images/chartmuseum_dev/seed_5/c000060.png | This chart shows the measures uses in psychology research papers as rectanges. Their areas are proportional to how often they are used. Which measure is the 10th most used measure? | SDQ | chart_data/chartmuseum_dev/seed_5/c000060.json | chartmuseum_dev | 25 |
c000060 | q000085 | seed_6 | images/chartmuseum_dev/seed_6/c000060.png | This chart shows the measures uses in psychology research papers as rectanges. Their areas are proportional to how often they are used. Which measure is the 10th most used measure? | BDI-II | chart_data/chartmuseum_dev/seed_6/c000060.json | chartmuseum_dev | 25 |
c000060 | q000085 | seed_7 | images/chartmuseum_dev/seed_7/c000060.png | This chart shows the measures uses in psychology research papers as rectanges. Their areas are proportional to how often they are used. Which measure is the 10th most used measure? | RSES | chart_data/chartmuseum_dev/seed_7/c000060.json | chartmuseum_dev | 25 |
c000060 | q000085 | seed_8 | images/chartmuseum_dev/seed_8/c000060.png | This chart shows the measures uses in psychology research papers as rectanges. Their areas are proportional to how often they are used. Which measure is the 10th most used measure? | BPRS | chart_data/chartmuseum_dev/seed_8/c000060.json | chartmuseum_dev | 25 |
c000060 | q000085 | seed_9 | images/chartmuseum_dev/seed_9/c000060.png | This chart shows the measures uses in psychology research papers as rectanges. Their areas are proportional to how often they are used. Which measure is the 10th most used measure? | PSQI | chart_data/chartmuseum_dev/seed_9/c000060.json | chartmuseum_dev | 25 |
c000061 | q000086 | original | You are presented with a scatter plot where the median age is the 50th percentile age for all living people with the given name and the interquartile range is the 25th to the 75th percentile. Now we define a name is *timeless* if the name is one that has been consistently given to people over a long period. Based on t... | Lucille | chartmuseum_dev | 32 | ||
c000061 | q000087 | original | You are presented with a scatter plot where the median age is the 50th percentile age for all living people with the given name and the interquartile range is the 25th to the 75th percentile. Now we define a name is trendy if it experiences a sudden surge in popularity within a short time period. Based on the age stati... | Brittany | chartmuseum_dev | 51 | ||
c000061 | q000086 | reconstruction | images/chartmuseum_dev/reconstruction/c000061.png | You are presented with a scatter plot where the median age is the 50th percentile age for all living people with the given name and the interquartile range is the 25th to the 75th percentile. Now we define a name is *timeless* if the name is one that has been consistently given to people over a long period. Based on t... | Lucille | chart_data/chartmuseum_dev/reconstruction/c000061.json | chartmuseum_dev | 32 |
c000061 | q000087 | reconstruction | images/chartmuseum_dev/reconstruction/c000061.png | You are presented with a scatter plot where the median age is the 50th percentile age for all living people with the given name and the interquartile range is the 25th to the 75th percentile. Now we define a name is trendy if it experiences a sudden surge in popularity within a short time period. Based on the age stati... | Brittany | chart_data/chartmuseum_dev/reconstruction/c000061.json | chartmuseum_dev | 51 |
c000061 | q000086 | seed_0 | images/chartmuseum_dev/seed_0/c000061.png | You are presented with a scatter plot where the median age is the 50th percentile age for all living people with the given name and the interquartile range is the 25th to the 75th percentile. Now we define a name is *timeless* if the name is one that has been consistently given to people over a long period. Based on t... | Eleanor | chart_data/chartmuseum_dev/seed_0/c000061.json | chartmuseum_dev | 32 |
c000061 | q000087 | seed_0 | images/chartmuseum_dev/seed_0/c000061.png | You are presented with a scatter plot where the median age is the 50th percentile age for all living people with the given name and the interquartile range is the 25th to the 75th percentile. Now we define a name is trendy if it experiences a sudden surge in popularity within a short time period. Based on the age stati... | Oliver | chart_data/chartmuseum_dev/seed_0/c000061.json | chartmuseum_dev | 51 |
c000061 | q000086 | seed_1 | images/chartmuseum_dev/seed_1/c000061.png | You are presented with a scatter plot where the median age is the 50th percentile age for all living people with the given name and the interquartile range is the 25th to the 75th percentile. Now we define a name is *timeless* if the name is one that has been consistently given to people over a long period. Based on t... | Josephine | chart_data/chartmuseum_dev/seed_1/c000061.json | chartmuseum_dev | 32 |
c000061 | q000087 | seed_1 | images/chartmuseum_dev/seed_1/c000061.png | You are presented with a scatter plot where the median age is the 50th percentile age for all living people with the given name and the interquartile range is the 25th to the 75th percentile. Now we define a name is trendy if it experiences a sudden surge in popularity within a short time period. Based on the age stati... | Oliver | chart_data/chartmuseum_dev/seed_1/c000061.json | chartmuseum_dev | 51 |
c000061 | q000086 | seed_2 | images/chartmuseum_dev/seed_2/c000061.png | You are presented with a scatter plot where the median age is the 50th percentile age for all living people with the given name and the interquartile range is the 25th to the 75th percentile. Now we define a name is *timeless* if the name is one that has been consistently given to people over a long period. Based on t... | Eleanor | chart_data/chartmuseum_dev/seed_2/c000061.json | chartmuseum_dev | 32 |
c000061 | q000087 | seed_2 | images/chartmuseum_dev/seed_2/c000061.png | You are presented with a scatter plot where the median age is the 50th percentile age for all living people with the given name and the interquartile range is the 25th to the 75th percentile. Now we define a name is trendy if it experiences a sudden surge in popularity within a short time period. Based on the age stati... | Oliver | chart_data/chartmuseum_dev/seed_2/c000061.json | chartmuseum_dev | 51 |
c000061 | q000086 | seed_3 | images/chartmuseum_dev/seed_3/c000061.png | You are presented with a scatter plot where the median age is the 50th percentile age for all living people with the given name and the interquartile range is the 25th to the 75th percentile. Now we define a name is *timeless* if the name is one that has been consistently given to people over a long period. Based on t... | Josephine | chart_data/chartmuseum_dev/seed_3/c000061.json | chartmuseum_dev | 32 |
c000061 | q000087 | seed_3 | images/chartmuseum_dev/seed_3/c000061.png | You are presented with a scatter plot where the median age is the 50th percentile age for all living people with the given name and the interquartile range is the 25th to the 75th percentile. Now we define a name is trendy if it experiences a sudden surge in popularity within a short time period. Based on the age stati... | Oliver | chart_data/chartmuseum_dev/seed_3/c000061.json | chartmuseum_dev | 51 |
c000061 | q000086 | seed_4 | images/chartmuseum_dev/seed_4/c000061.png | You are presented with a scatter plot where the median age is the 50th percentile age for all living people with the given name and the interquartile range is the 25th to the 75th percentile. Now we define a name is *timeless* if the name is one that has been consistently given to people over a long period. Based on t... | Josephine | chart_data/chartmuseum_dev/seed_4/c000061.json | chartmuseum_dev | 32 |
c000061 | q000087 | seed_4 | images/chartmuseum_dev/seed_4/c000061.png | You are presented with a scatter plot where the median age is the 50th percentile age for all living people with the given name and the interquartile range is the 25th to the 75th percentile. Now we define a name is trendy if it experiences a sudden surge in popularity within a short time period. Based on the age stati... | Oliver | chart_data/chartmuseum_dev/seed_4/c000061.json | chartmuseum_dev | 51 |
c000061 | q000086 | seed_5 | images/chartmuseum_dev/seed_5/c000061.png | You are presented with a scatter plot where the median age is the 50th percentile age for all living people with the given name and the interquartile range is the 25th to the 75th percentile. Now we define a name is *timeless* if the name is one that has been consistently given to people over a long period. Based on t... | Eleanor | chart_data/chartmuseum_dev/seed_5/c000061.json | chartmuseum_dev | 32 |
c000061 | q000087 | seed_5 | images/chartmuseum_dev/seed_5/c000061.png | You are presented with a scatter plot where the median age is the 50th percentile age for all living people with the given name and the interquartile range is the 25th to the 75th percentile. Now we define a name is trendy if it experiences a sudden surge in popularity within a short time period. Based on the age stati... | Liam | chart_data/chartmuseum_dev/seed_5/c000061.json | chartmuseum_dev | 51 |
c000061 | q000086 | seed_6 | images/chartmuseum_dev/seed_6/c000061.png | You are presented with a scatter plot where the median age is the 50th percentile age for all living people with the given name and the interquartile range is the 25th to the 75th percentile. Now we define a name is *timeless* if the name is one that has been consistently given to people over a long period. Based on t... | Leah | chart_data/chartmuseum_dev/seed_6/c000061.json | chartmuseum_dev | 32 |
c000061 | q000087 | seed_6 | images/chartmuseum_dev/seed_6/c000061.png | You are presented with a scatter plot where the median age is the 50th percentile age for all living people with the given name and the interquartile range is the 25th to the 75th percentile. Now we define a name is trendy if it experiences a sudden surge in popularity within a short time period. Based on the age stati... | Debbie | chart_data/chartmuseum_dev/seed_6/c000061.json | chartmuseum_dev | 51 |
c000061 | q000086 | seed_7 | images/chartmuseum_dev/seed_7/c000061.png | You are presented with a scatter plot where the median age is the 50th percentile age for all living people with the given name and the interquartile range is the 25th to the 75th percentile. Now we define a name is *timeless* if the name is one that has been consistently given to people over a long period. Based on t... | Eleanor | chart_data/chartmuseum_dev/seed_7/c000061.json | chartmuseum_dev | 32 |
c000061 | q000087 | seed_7 | images/chartmuseum_dev/seed_7/c000061.png | You are presented with a scatter plot where the median age is the 50th percentile age for all living people with the given name and the interquartile range is the 25th to the 75th percentile. Now we define a name is trendy if it experiences a sudden surge in popularity within a short time period. Based on the age stati... | Oliver | chart_data/chartmuseum_dev/seed_7/c000061.json | chartmuseum_dev | 51 |
c000061 | q000086 | seed_8 | images/chartmuseum_dev/seed_8/c000061.png | You are presented with a scatter plot where the median age is the 50th percentile age for all living people with the given name and the interquartile range is the 25th to the 75th percentile. Now we define a name is *timeless* if the name is one that has been consistently given to people over a long period. Based on t... | Audrey | chart_data/chartmuseum_dev/seed_8/c000061.json | chartmuseum_dev | 32 |
c000061 | q000087 | seed_8 | images/chartmuseum_dev/seed_8/c000061.png | You are presented with a scatter plot where the median age is the 50th percentile age for all living people with the given name and the interquartile range is the 25th to the 75th percentile. Now we define a name is trendy if it experiences a sudden surge in popularity within a short time period. Based on the age stati... | Oliver | chart_data/chartmuseum_dev/seed_8/c000061.json | chartmuseum_dev | 51 |
c000061 | q000086 | seed_9 | images/chartmuseum_dev/seed_9/c000061.png | You are presented with a scatter plot where the median age is the 50th percentile age for all living people with the given name and the interquartile range is the 25th to the 75th percentile. Now we define a name is *timeless* if the name is one that has been consistently given to people over a long period. Based on t... | Naomi | chart_data/chartmuseum_dev/seed_9/c000061.json | chartmuseum_dev | 32 |
c000061 | q000087 | seed_9 | images/chartmuseum_dev/seed_9/c000061.png | You are presented with a scatter plot where the median age is the 50th percentile age for all living people with the given name and the interquartile range is the 25th to the 75th percentile. Now we define a name is trendy if it experiences a sudden surge in popularity within a short time period. Based on the age stati... | Oliver | chart_data/chartmuseum_dev/seed_9/c000061.json | chartmuseum_dev | 51 |
c000062 | q000088 | original | In what field are the number of countries with more female graduates closest to the number of countries with more male graduates? | Services | chartmuseum_dev | 10 | ||
c000062 | q000088 | reconstruction | images/chartmuseum_dev/reconstruction/c000062.png | In what field are the number of countries with more female graduates closest to the number of countries with more male graduates? | Services | chart_data/chartmuseum_dev/reconstruction/c000062.json | chartmuseum_dev | 10 |
c000062 | q000088 | seed_0 | images/chartmuseum_dev/seed_0/c000062.png | In what field are the number of countries with more female graduates closest to the number of countries with more male graduates? | Agriculture, Forestry, Fisheries and Veterinary | chart_data/chartmuseum_dev/seed_0/c000062.json | chartmuseum_dev | 10 |
c000062 | q000088 | seed_1 | images/chartmuseum_dev/seed_1/c000062.png | In what field are the number of countries with more female graduates closest to the number of countries with more male graduates? | Agriculture, Forestry, Fisheries and Veterinary | chart_data/chartmuseum_dev/seed_1/c000062.json | chartmuseum_dev | 10 |
c000062 | q000088 | seed_2 | images/chartmuseum_dev/seed_2/c000062.png | In what field are the number of countries with more female graduates closest to the number of countries with more male graduates? | Science, Technology, Engineering and
Mathematics (STEM) | chart_data/chartmuseum_dev/seed_2/c000062.json | chartmuseum_dev | 10 |
c000062 | q000088 | seed_3 | images/chartmuseum_dev/seed_3/c000062.png | In what field are the number of countries with more female graduates closest to the number of countries with more male graduates? | Arts and Humanities | chart_data/chartmuseum_dev/seed_3/c000062.json | chartmuseum_dev | 10 |
c000062 | q000088 | seed_4 | images/chartmuseum_dev/seed_4/c000062.png | In what field are the number of countries with more female graduates closest to the number of countries with more male graduates? | Engineering, manufacturing and construction | chart_data/chartmuseum_dev/seed_4/c000062.json | chartmuseum_dev | 10 |
c000062 | q000088 | seed_5 | images/chartmuseum_dev/seed_5/c000062.png | In what field are the number of countries with more female graduates closest to the number of countries with more male graduates? | Engineering, manufacturing and construction | chart_data/chartmuseum_dev/seed_5/c000062.json | chartmuseum_dev | 10 |
c000062 | q000088 | seed_6 | images/chartmuseum_dev/seed_6/c000062.png | In what field are the number of countries with more female graduates closest to the number of countries with more male graduates? | Agriculture, Forestry, Fisheries and Veterinary | chart_data/chartmuseum_dev/seed_6/c000062.json | chartmuseum_dev | 10 |
c000062 | q000088 | seed_7 | images/chartmuseum_dev/seed_7/c000062.png | In what field are the number of countries with more female graduates closest to the number of countries with more male graduates? | Agriculture, Forestry, Fisheries and Veterinary, Natural Sciences, Mathematics and Statistics | chart_data/chartmuseum_dev/seed_7/c000062.json | chartmuseum_dev | 10 |
c000062 | q000088 | seed_8 | images/chartmuseum_dev/seed_8/c000062.png | In what field are the number of countries with more female graduates closest to the number of countries with more male graduates? | Services | chart_data/chartmuseum_dev/seed_8/c000062.json | chartmuseum_dev | 10 |
c000062 | q000088 | seed_9 | images/chartmuseum_dev/seed_9/c000062.png | In what field are the number of countries with more female graduates closest to the number of countries with more male graduates? | Services | chart_data/chartmuseum_dev/seed_9/c000062.json | chartmuseum_dev | 10 |
c000063 | q000089 | original | Among 11 causes of death in 2019, which cause(s) have the largest increase in the ranking from the starting position in 2019 to the ending position in 2023? Note that the ranking decreasing from the top to the bottom. | Chronic liver disease and cirrhosis | chartmuseum_dev | 61 | ||
c000063 | q000090 | original | Between 2020-2023, which year showed the least change in the ranking of leading causes of death from one year before? | 2021 | chartmuseum_dev | 142 | ||
c000063 | q000089 | reconstruction | images/chartmuseum_dev/reconstruction/c000063.png | Among 11 causes of death in 2019, which cause(s) have the largest increase in the ranking from the starting position in 2019 to the ending position in 2023? Note that the ranking decreasing from the top to the bottom. | Chronic liver disease and cirrhosis | chart_data/chartmuseum_dev/reconstruction/c000063.json | chartmuseum_dev | 61 |
c000063 | q000090 | reconstruction | images/chartmuseum_dev/reconstruction/c000063.png | Between 2020-2023, which year showed the least change in the ranking of leading causes of death from one year before? | 2021 | chart_data/chartmuseum_dev/reconstruction/c000063.json | chartmuseum_dev | 142 |
c000063 | q000089 | seed_0 | images/chartmuseum_dev/seed_0/c000063.png | Among 11 causes of death in 2019, which cause(s) have the largest increase in the ranking from the starting position in 2019 to the ending position in 2023? Note that the ranking decreasing from the top to the bottom. | Alzheimer’s disease | chart_data/chartmuseum_dev/seed_0/c000063.json | chartmuseum_dev | 61 |
c000063 | q000090 | seed_0 | images/chartmuseum_dev/seed_0/c000063.png | Between 2020-2023, which year showed the least change in the ranking of leading causes of death from one year before? | 2021 | chart_data/chartmuseum_dev/seed_0/c000063.json | chartmuseum_dev | 142 |
c000063 | q000089 | seed_1 | images/chartmuseum_dev/seed_1/c000063.png | Among 11 causes of death in 2019, which cause(s) have the largest increase in the ranking from the starting position in 2019 to the ending position in 2023? Note that the ranking decreasing from the top to the bottom. | Alzheimer’s disease | chart_data/chartmuseum_dev/seed_1/c000063.json | chartmuseum_dev | 61 |
c000063 | q000090 | seed_1 | images/chartmuseum_dev/seed_1/c000063.png | Between 2020-2023, which year showed the least change in the ranking of leading causes of death from one year before? | 2021 | chart_data/chartmuseum_dev/seed_1/c000063.json | chartmuseum_dev | 142 |
c000063 | q000089 | seed_2 | images/chartmuseum_dev/seed_2/c000063.png | Among 11 causes of death in 2019, which cause(s) have the largest increase in the ranking from the starting position in 2019 to the ending position in 2023? Note that the ranking decreasing from the top to the bottom. | Diabetes, Kidney disease, Chronic liver disease and cirrhosis | chart_data/chartmuseum_dev/seed_2/c000063.json | chartmuseum_dev | 61 |
c000063 | q000090 | seed_2 | images/chartmuseum_dev/seed_2/c000063.png | Between 2020-2023, which year showed the least change in the ranking of leading causes of death from one year before? | 2023 | chart_data/chartmuseum_dev/seed_2/c000063.json | chartmuseum_dev | 142 |
c000063 | q000089 | seed_3 | images/chartmuseum_dev/seed_3/c000063.png | Among 11 causes of death in 2019, which cause(s) have the largest increase in the ranking from the starting position in 2019 to the ending position in 2023? Note that the ranking decreasing from the top to the bottom. | Stroke, Kidney disease | chart_data/chartmuseum_dev/seed_3/c000063.json | chartmuseum_dev | 61 |
c000063 | q000090 | seed_3 | images/chartmuseum_dev/seed_3/c000063.png | Between 2020-2023, which year showed the least change in the ranking of leading causes of death from one year before? | 2021 | chart_data/chartmuseum_dev/seed_3/c000063.json | chartmuseum_dev | 142 |
c000063 | q000089 | seed_4 | images/chartmuseum_dev/seed_4/c000063.png | Among 11 causes of death in 2019, which cause(s) have the largest increase in the ranking from the starting position in 2019 to the ending position in 2023? Note that the ranking decreasing from the top to the bottom. | Diabetes | chart_data/chartmuseum_dev/seed_4/c000063.json | chartmuseum_dev | 61 |
c000063 | q000090 | seed_4 | images/chartmuseum_dev/seed_4/c000063.png | Between 2020-2023, which year showed the least change in the ranking of leading causes of death from one year before? | 2021 | chart_data/chartmuseum_dev/seed_4/c000063.json | chartmuseum_dev | 142 |
c000063 | q000089 | seed_5 | images/chartmuseum_dev/seed_5/c000063.png | Among 11 causes of death in 2019, which cause(s) have the largest increase in the ranking from the starting position in 2019 to the ending position in 2023? Note that the ranking decreasing from the top to the bottom. | Kidney disease | chart_data/chartmuseum_dev/seed_5/c000063.json | chartmuseum_dev | 61 |
c000063 | q000090 | seed_5 | images/chartmuseum_dev/seed_5/c000063.png | Between 2020-2023, which year showed the least change in the ranking of leading causes of death from one year before? | 2021 | chart_data/chartmuseum_dev/seed_5/c000063.json | chartmuseum_dev | 142 |
c000063 | q000089 | seed_6 | images/chartmuseum_dev/seed_6/c000063.png | Among 11 causes of death in 2019, which cause(s) have the largest increase in the ranking from the starting position in 2019 to the ending position in 2023? Note that the ranking decreasing from the top to the bottom. | Unintentional injuries | chart_data/chartmuseum_dev/seed_6/c000063.json | chartmuseum_dev | 61 |
c000063 | q000090 | seed_6 | images/chartmuseum_dev/seed_6/c000063.png | Between 2020-2023, which year showed the least change in the ranking of leading causes of death from one year before? | 2022 | chart_data/chartmuseum_dev/seed_6/c000063.json | chartmuseum_dev | 142 |
c000063 | q000089 | seed_7 | images/chartmuseum_dev/seed_7/c000063.png | Among 11 causes of death in 2019, which cause(s) have the largest increase in the ranking from the starting position in 2019 to the ending position in 2023? Note that the ranking decreasing from the top to the bottom. | Kidney disease | chart_data/chartmuseum_dev/seed_7/c000063.json | chartmuseum_dev | 61 |
c000063 | q000090 | seed_7 | images/chartmuseum_dev/seed_7/c000063.png | Between 2020-2023, which year showed the least change in the ranking of leading causes of death from one year before? | 2020 | chart_data/chartmuseum_dev/seed_7/c000063.json | chartmuseum_dev | 142 |
c000063 | q000089 | seed_8 | images/chartmuseum_dev/seed_8/c000063.png | Among 11 causes of death in 2019, which cause(s) have the largest increase in the ranking from the starting position in 2019 to the ending position in 2023? Note that the ranking decreasing from the top to the bottom. | Diabetes, Suicide | chart_data/chartmuseum_dev/seed_8/c000063.json | chartmuseum_dev | 61 |
c000063 | q000090 | seed_8 | images/chartmuseum_dev/seed_8/c000063.png | Between 2020-2023, which year showed the least change in the ranking of leading causes of death from one year before? | 2021 | chart_data/chartmuseum_dev/seed_8/c000063.json | chartmuseum_dev | 142 |
c000063 | q000089 | seed_9 | images/chartmuseum_dev/seed_9/c000063.png | Among 11 causes of death in 2019, which cause(s) have the largest increase in the ranking from the starting position in 2019 to the ending position in 2023? Note that the ranking decreasing from the top to the bottom. | Stroke, Suicide | chart_data/chartmuseum_dev/seed_9/c000063.json | chartmuseum_dev | 61 |
c000063 | q000090 | seed_9 | images/chartmuseum_dev/seed_9/c000063.png | Between 2020-2023, which year showed the least change in the ranking of leading causes of death from one year before? | 2022 | chart_data/chartmuseum_dev/seed_9/c000063.json | chartmuseum_dev | 142 |
c000064 | q000091 | original | You are presented with various corpora on the x-axis and 4 models in the legend. Among the 4 corpora (Average not counted) that has the least variance across 4 models, which corpora has the highest perplexity? | OpenSubs | chartmuseum_dev | 93 | ||
c000064 | q000091 | reconstruction | images/chartmuseum_dev/reconstruction/c000064.png | You are presented with various corpora on the x-axis and 4 models in the legend. Among the 4 corpora (Average not counted) that has the least variance across 4 models, which corpora has the highest perplexity? | OpenSubs | chart_data/chartmuseum_dev/reconstruction/c000064.json | chartmuseum_dev | 93 |
c000064 | q000091 | seed_0 | images/chartmuseum_dev/seed_0/c000064.png | You are presented with various corpora on the x-axis and 4 models in the legend. Among the 4 corpora (Average not counted) that has the least variance across 4 models, which corpora has the highest perplexity? | PG-19 | chart_data/chartmuseum_dev/seed_0/c000064.json | chartmuseum_dev | 93 |
c000064 | q000091 | seed_1 | images/chartmuseum_dev/seed_1/c000064.png | You are presented with various corpora on the x-axis and 4 models in the legend. Among the 4 corpora (Average not counted) that has the least variance across 4 models, which corpora has the highest perplexity? | Github | chart_data/chartmuseum_dev/seed_1/c000064.json | chartmuseum_dev | 93 |
c000064 | q000091 | seed_2 | images/chartmuseum_dev/seed_2/c000064.png | You are presented with various corpora on the x-axis and 4 models in the legend. Among the 4 corpora (Average not counted) that has the least variance across 4 models, which corpora has the highest perplexity? | Enron | chart_data/chartmuseum_dev/seed_2/c000064.json | chartmuseum_dev | 93 |
c000064 | q000091 | seed_3 | images/chartmuseum_dev/seed_3/c000064.png | You are presented with various corpora on the x-axis and 4 models in the legend. Among the 4 corpora (Average not counted) that has the least variance across 4 models, which corpora has the highest perplexity? | NIH | chart_data/chartmuseum_dev/seed_3/c000064.json | chartmuseum_dev | 93 |
c000064 | q000091 | seed_4 | images/chartmuseum_dev/seed_4/c000064.png | You are presented with various corpora on the x-axis and 4 models in the legend. Among the 4 corpora (Average not counted) that has the least variance across 4 models, which corpora has the highest perplexity? | Phil | chart_data/chartmuseum_dev/seed_4/c000064.json | chartmuseum_dev | 93 |
c000064 | q000091 | seed_5 | images/chartmuseum_dev/seed_5/c000064.png | You are presented with various corpora on the x-axis and 4 models in the legend. Among the 4 corpora (Average not counted) that has the least variance across 4 models, which corpora has the highest perplexity? | PG-19 | chart_data/chartmuseum_dev/seed_5/c000064.json | chartmuseum_dev | 93 |
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