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{
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{
"data": "What is the chart's main message or takeaway?",
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{
"data": "This is a area graph titled Number of Papa John 's restaurants in the United States from 2007 to 2019 , by mode of operation. The x-axis shows Year while the y-axis plots Company-owned. There was an increase in Papa John's restaurants from 2011 until 2017 from around 600 to approximate 700 restaurants, but after that, the number started to decline and are sitting at around 600 restaurants in 2019.",
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[] | [] | [
{
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{
"data": "Highlight the significant data points in this chart.",
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{
"data": "This is a bar chart named Monthly retail sales of legal cannabis stores in Canada from October 2018 to August 2020 (in million Canadian dollars). Along the y-axis, Month is defined along a categorical scale starting with Dec and ending with Oct. The x-axis shows 2018. From Oct the amount of sales has increased. This might be due to the winter months being a time when people are inside and bored.",
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[] | [] | [
{
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"data": "Summarize the key information in this chart.",
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{
"data": "This bar chart is labeled Monthly retail sales of legal cannabis stores in Canada from October 2018 to August 2020 (in million Canadian dollars). The x-axis shows Month with a categorical scale with Apr on one end and Sep at the other. There is a linear scale with a minimum of 0 and a maximum of 150 on the y-axis, marked 2019. Sales are the lowest at the beginning of the year in winter and spring then start to rise again starting in summer all the way through the end of the year.",
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[] | [] | [
{
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{
"data": "Estimate the changes over time shown in this chart.",
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{
"data": "This bar chart is labeled Monthly retail sales of legal cannabis stores in Canada from October 2018 to August 2020 (in million Canadian dollars). The x-axis shows Month with a categorical scale with Apr on one end and Sep at the other. There is a linear scale with a minimum of 0 and a maximum of 150 on the y-axis, marked 2019. Whilst at first a downward trend this has now reversed and is now nearly back at the level at the beginning of the study.",
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[] | [] | [
{
"data": "0",
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{
"data": "What is the chart's main message or takeaway?",
"modality": "text",
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{
"data": "Denmark : Distribution of employment by economic sector from 2010 to 2020 is a area diagram. On the y-axis, Agriculture is plotted. A linear scale with a minimum of 2010 and a maximum of 2018 can be found along the x-axis, marked Year. Employment in agricultural has fallen from 2010 to 2018.",
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[] | [] | [
{
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{
"data": "Describe this chart.",
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{
"data": "Denmark : Distribution of employment by economic sector from 2010 to 2020 is a area diagram. On the y-axis, Agriculture is plotted. A linear scale with a minimum of 2010 and a maximum of 2018 can be found along the x-axis, marked Year. Employment in agriculture peaked in 2012. An observable decline in agricultural employment took place in 2018.",
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[] | [] | [
{
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{
"data": "Describe this chart.",
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{
"data": "Here a area diagram is labeled Total net electricity generation in the United States from 1990 to 2019 , by fuel (in billion kilowatt hours). The y-axis measures Coal along linear scale of range 0 to 2,000 while the x-axis measures Year along linear scale from 1990 to 2015. The usage of coal peaked in 2005. Since 2005, the coal usage has a downward trend since 2005. The coal usage has halved between 2005, and 2020.",
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[] | [] | [
{
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"data": "Analyze the distribution shown in this chart.",
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{
"data": "Total net electricity generation in the United States from 1990 to 2019 , by fuel (in billion kilowatt hours) is a area graph. A linear scale of range 1990 to 2015 can be found on the x-axis, labeled Year. A categorical scale with −7 on one end and 0 at the other can be seen along the y-axis, labeled Hydroelectric pumped storage. The graph shows that the net amount of electricity generated in the United States has drastically changed in recent years in comparison to the mid 90s.",
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[] | [] | [
{
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{
"data": "Estimate the changes over time shown in this chart.",
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{
"data": "This area diagram is called Number of employees at The Cheesecake Factory from 2009 to 2019 , by segment. There is a linear scale from 0 to 40,000 along the y-axis, marked Restaurant workers. On the x-axis, Year is shown along a linear scale of range 2010 to 2018. The number of restaurant workers has steadily increased from 2010 to 2018. There was a small decline in 2017 which was overtaken in 2018 by a significant rise of around 5000 employees in one year.",
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[] | [] | [
{
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{
"data": "Describe the relationship between variables in this chart.",
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{
"data": "Number of employees at The Cheesecake Factory from 2009 to 2019 , by segment is a line graph. Bakery operations is plotted as a linear scale with a minimum of 0 and a maximum of 800 on the y-axis. The x-axis plots Year. The number of employees remains above 600 between 2009 and 2019. 2012 saw the most employees at 900. The lowest number of employees was between 2016 and 2018. After 2018 the number of employees begins to rise again.",
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[] | [] | [
{
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"data": "Summarize the key information in this chart.",
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{
"data": "This bar graph is named Clinker capacity in selected countries from 2016 to 2019 (in million metric tons). The y-axis measures Country along categorical scale with Brazil on one end and Vietnam at the other while the x-axis measures 2016 as linear scale of range 0 to 2,000. China has the highest clinker capacity at 2000. All other named countries sit under 500 clinker capacity. Of other countries India has the largest clinker capacity second only to china.",
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[] | [] | [
{
"data": "0",
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{
"data": "What is the chart's main message or takeaway?",
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{
"data": "Clinker capacity in selected countries from 2016 to 2019 (in million metric tons) is a bar graph. The y-axis plots 2018 as linear scale with a minimum of 0 and a maximum of 2,000 while the x-axis shows Country as categorical scale starting at Brazil and ending at Vietnam. Whilst the bar graph title indicates clinker capacity in selected countries between 2016 and 2019, the actual bar graph only denotes data from 2018. China's clinker capacity vastly outweighed that of all other countries noted in 2018.",
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[] | [] | [
{
"data": "0",
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"data": "Describe the relationship between variables in this chart.",
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{
"data": "Here a bar diagram is labeled Clinker capacity in selected countries from 2016 to 2019 (in million metric tons). The y-axis plots Country while the x-axis plots 2019. China has much higher clinker capacity in 2019 than all other countries shown combined. Japan, Eqypt, and Korea are tied for the smallest clinker capacity on this graph. No countries except India and China have over 250 million metric tons clinker capacity in 2019.",
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[] | [] | [
{
"data": "0",
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{
"data": "Estimate the changes over time shown in this chart.",
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{
"data": "This is a line plot titled Distribution of Garmin 's revenue from 2009 to 2019 , by segment. The x-axis plots Year while the y-axis plots Automotive/Mobile. The line chart shows that Garmins revenue has plummeted since 2010. The trajectory could indicate close to 0 sales in future years.",
"modality": "text",
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[] | [] | [
{
"data": "0",
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"role": "user"
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{
"data": "Describe the pattern or trend evident in this chart.",
"modality": "text",
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{
"data": "Distribution of Garmin 's revenue from 2009 to 2019 , by segment is a area chart. The y-axis measures Aviation with a linear scale of range 0.00 to 0.20. A linear scale from 2010 to 2018 can be seen on the x-axis, marked Year. Over time the distribution of Garmin 's revenue's increased. There was a plateau in the growth of revenue between 2010 to 2011 and again between 2013 to 2014. The year with the highest distribution was 2019.",
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[] | [] | [
{
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"data": "Identify the main components of this chart.",
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{
"data": "Distribution of Garmin 's revenue from 2009 to 2019 , by segment is a line graph. The y-axis shows Marine while the x-axis shows Year. Although taking a slight dip between 2011 to 2012, the distribution of Garmin's revenue has steadily increased.",
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[] | [] | [
{
"data": "0",
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{
"data": "What insights can be drawn from this chart?",
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{
"data": "Distribution of Garmin 's revenue from 2009 to 2019 , by segment is a line graph. The y-axis shows Marine while the x-axis shows Year. Garmin's revenue has doubled in 10 years from 2009 to 2019.",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
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{
"data": "Describe the relationship between variables in this chart.",
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{
"data": "Here a line diagram is called Age distribution in the United States from 2009 to 2019. The x-axis plots Year while the y-axis plots 0-14 years. The age distribution has been steadily going down between 2009 and 2019.",
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[] | [] | [
{
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{
"data": "Describe this chart.",
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{
"data": "Here a line diagram is called Age distribution in the United States from 2009 to 2019. The x-axis plots Year while the y-axis plots 0-14 years. The percentage of 0-14 year olds has steadily declined in the USA from 2010 to 2018. From this we may infer that birth rates are declining or perhaps older people are living longer contributing to 0-14 year olds accounting for less of the percentage of population. The percentage of 0-14 year olds is now less than 1 5th of the US population.",
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[] | [] | [
{
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"data": "Analyze the distribution shown in this chart.",
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{
"data": "Age distribution in the United States from 2009 to 2019 is a area graph. 15-64 years is measured along a scale with a minimum of 0.0 and a maximum of 0.6 along the y-axis. A linear scale from 2010 to 2018 can be found along the x-axis, labeled Year. There is an overall trend of decreasing age distribution over the years between 2009 to 2019. The decrease has been consistent and thus is shown by a straight line graph.",
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[] | [] | [
{
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"data": "Summarize the key information in this chart.",
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{
"data": "This bar diagram is named Number of tourist arrivals in Egypt from 2012 to 2018 , by month (in1,000s). The x-axis measures 2015 along linear scale with a minimum of 0 and a maximum of 1,000 while the y-axis plots Month using categorical scale from Apr to Sept. Generally there are fewer visitors in the colder months of winter and more in the summer. In December and November the numbers were at their lowest at around 400 while their highest was in April, August, and and July.",
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[] | [] | [
{
"data": "0",
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{
"data": "Explain the trends shown in this chart.",
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{
"data": "This bar diagram is named Number of tourist arrivals in Egypt from 2012 to 2018 , by month (in1,000s). The x-axis measures 2015 along linear scale with a minimum of 0 and a maximum of 1,000 while the y-axis plots Month using categorical scale from Apr to Sept. The lowest months were all around the winter period of the year, from Nov-Feb of each year. The rest of the year was fairly consistent with tourist numbers, with fairly small fluctuations of around 10%. The peak months had twice as many tourists as the lowest months.",
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[] | [] | [
{
"data": "0",
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{
"data": "Explain the correlation depicted in this chart.",
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{
"data": "Number of international visitor arrivals in Finland from January to July 2020 , by country of origin is a bar chart. The y-axis plots Country along categorical scale starting with China and ending with United States while the x-axis measures June* as linear scale from 0 to 4,000. The highest number of international visitors in Finland was by far estonia with over 3500. Norway and the United States roughly had 2000 visitors. The lowest number of visitors were China and Japan.",
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[] | [] | [
{
"data": "0",
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"data": "Analyze the distribution shown in this chart.",
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{
"data": "Number of international visitor arrivals in Finland from January to July 2020 , by country of origin is a bar graph. The y-axis shows February* as a linear scale of range 0 to 30,000. On the x-axis, 2020 to date is defined. The country represented by the bar labelled 70241 on the x-axis has had the most visitors in February with close to 30,000. The country represented by the bar labelled 12396 on the x-axis has had the least visitors in February with 5,000.",
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[] | [] | [
{
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{
"data": "Highlight the significant data points in this chart.",
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{
"data": "This is a bar plot titled Number of international visitor arrivals in Finland from January to July 2020 , by country of origin. The y-axis measures Country while the x-axis plots February*. In Finland, there were between 25 000 and 30 000 visitors from Germany. In Finland, there were between 25 000 and 30 000 visitors from Russia. There were around 5 000 visitors from each of the following countries: Italy, Norway and Switzerland. There were 15 000 visitors from Sweden. There were almost 20 000 visitors from the UK.",
"modality": "text",
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}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
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{
"data": "Explain the correlation depicted in this chart.",
"modality": "text",
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{
"data": "This is a bar plot titled Number of international visitor arrivals in Finland from January to July 2020 , by country of origin. The y-axis measures Country while the x-axis plots February*. Finland gained the most visitors in 2020 from Russia and Germany, with Germany edging Russia ever so slightly with approximately 28,000 visitors. Countries on the far west of Europe, including Spain, visited less than countries in Central Europe such as Netherlands and also Asian countries, including China.",
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] |
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[] | [] | [
{
"data": "0",
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{
"data": "Identify the main components of this chart.",
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{
"data": "Here a is a bar chart called Number of international visitor arrivals in Finland from January to July 2020 , by country of origin. The x-axis measures January* while the y-axis measures Country. Finland have significantly more international visitor arrivals from China and Russia from January to July 2020. Norway Spain and Sweden being the smallest number to arrive.",
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] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
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{
"data": "Explain the trends shown in this chart.",
"modality": "text",
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{
"data": "Number of international visitor arrivals in Finland from January to July 2020 , by country of origin is a bar diagram. A scale from 12396 to 102423 can be found on the x-axis, labeled 2020 to date. A linear scale with a minimum of 0 and a maximum of 1,200 can be seen on the y-axis, labeled May*. More than double the amount of people from wherever 33439 is visited Finland than the next highest visiting country.",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
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{
"data": "Highlight the significant data points in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Number of international visitor arrivals in Finland from January to July 2020 , by country of origin is a bar diagram. A scale from 12396 to 102423 can be found on the x-axis, labeled 2020 to date. A linear scale with a minimum of 0 and a maximum of 1,200 can be seen on the y-axis, labeled May*. The highest number of visitors to Finland was over 1200. I am unable to understand this chart fully.",
"modality": "text",
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[] | [] | [
{
"data": "0",
"modality": "image",
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{
"data": "What insights can be drawn from this chart?",
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{
"data": "This line chart is titled Share of people participating in outdoor activities in the United States from 2007 to 2017 , by age group. Response is defined along the x-axis. There is a scale with a minimum of 0.0 and a maximum of 0.6 along the y-axis, marked 13-17 years. The age group of 13-17 year olds has been consistent in participating in outdoor activities in the United States since 2007 to 2017.",
"modality": "text",
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] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
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{
"data": "Explain the correlation depicted in this chart.",
"modality": "text",
"role": "user"
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{
"data": "Here a is a area plot titled Share of people participating in outdoor activities in the United States from 2007 to 2017 , by age group. There is a linear scale from 2008 to 2016 along the x-axis, marked Response. The y-axis shows 25-44 years on a scale of range 0.0 to 0.6. Between 2008 and 2012 the share increased slightly and hit a peak in 2012. After that it decreased slightly and then plateaued until 2016.",
"modality": "text",
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] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
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{
"data": "What insights can be drawn from this chart?",
"modality": "text",
"role": "user"
},
{
"data": "This area chart is called Share of people participating in outdoor activities in the United States from 2007 to 2017 , by age group. The x-axis plots Response while the y-axis plots 45+ years. Since 2009 there has been an overall decrease in the participation of outdoor activities by all age groups.",
"modality": "text",
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] |
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[] | [] | [
{
"data": "0",
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{
"data": "Describe the pattern or trend evident in this chart.",
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{
"data": "Number of of marriages and divorces per 1,000 population in Russia from 2000 to 2019 is a area plot. Along the x-axis, Year is defined on a linear scale from 2000 to 2015. On the y-axis, Divorces is defined along a linear scale of range 0 to 5. 2013 & 2014 saw a peak in marriages and divorces but that started to decline in 2015 and was at its lowest c 2017 but has slowly started to increase in recent years.",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
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{
"data": "What does this chart reveal about the data?",
"modality": "text",
"role": "user"
},
{
"data": "Number of of marriages and divorces per 1,000 population in Russia from 2000 to 2019 is a area plot. Along the x-axis, Year is defined on a linear scale from 2000 to 2015. On the y-axis, Divorces is defined along a linear scale of range 0 to 5. The number of divorces dropped sharply in 2014. Divorces continued to drop through 2015 but started to rise towards the end of the year. The number of divorces dtayed static at the start of the decade.",
"modality": "text",
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}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
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{
"data": "What does this chart reveal about the data?",
"modality": "text",
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{
"data": "Here a bar plot is called Percentage of households in the United States that paid no income tax in 2019 , by income level. The x-axis measures Cash income level in U\\.S\\. dollars on categorical scale starting with 10,000 to 20,000 and ending with while the y-axis measures Households that don't pay income tax with linear scale from 0.0 to 1.0. Those that earned less than 10,000 didn't pay tax.",
"modality": "text",
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[] | [] | [
{
"data": "0",
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"data": "Explain the trends shown in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Here a bar plot is called Percentage of households in the United States that paid no income tax in 2019 , by income level. The x-axis measures Cash income level in U\\.S\\. dollars on categorical scale starting with 10,000 to 20,000 and ending with while the y-axis measures Households that don't pay income tax with linear scale from 0.0 to 1.0. Earnings less than 10000 1% paid less tax . Least tax payers earnings 10 - 20000. Most tax paid earn 100000 upwards.",
"modality": "text",
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] |
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[] | [] | [
{
"data": "0",
"modality": "image",
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{
"data": "Explain the trends shown in this chart.",
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{
"data": "This is a area graph titled Greece : Distribution of the workforce across economic sectors from 2010 to 2020. The y-axis plots Agriculture. The x-axis measures Year. The distribution of the workforce has been slowly decreasing.",
"modality": "text",
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] |
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[] | [] | [
{
"data": "0",
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{
"data": "Describe the pattern or trend evident in this chart.",
"modality": "text",
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{
"data": "Here a line graph is called Greece : Distribution of the workforce across economic sectors from 2010 to 2020. A linear scale with a minimum of 0.00 and a maximum of 0.20 can be found along the y-axis, marked Industry. Along the x-axis, Year is drawn. There was a sharp decline in the workforce from 2010 to 2014 when it flat lined between 2014 to 2015 before increasing for 2016 and dipping back to 2015 levels in 2017 and a sloe decline to 2018.",
"modality": "text",
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] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
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{
"data": "Explain the trends shown in this chart.",
"modality": "text",
"role": "user"
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{
"data": "Here a line plot is called Greece : Distribution of the workforce across economic sectors from 2010 to 2020. A linear scale from 0.0 to 0.8 can be found along the y-axis, labeled Services. Year is defined along the x-axis. This graph is almost linear. The trend is slightly upwards from just below 0.7 in 2010 to just above 0.7 in 2020.",
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] |
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[] | [] | [
{
"data": "0",
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"data": "Summarize the key information in this chart.",
"modality": "text",
"role": "user"
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{
"data": "Here a line plot is called Greece : Distribution of the workforce across economic sectors from 2010 to 2020. A linear scale from 0.0 to 0.8 can be found along the y-axis, labeled Services. Year is defined along the x-axis. Between the years 2010 and 2020 services have shown a slight increase. In the year 2010, the level was below 0.7. In the year 2020, it was above 0.7.",
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] |
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[] | [] | [
{
"data": "0",
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"role": "user"
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{
"data": "Summarize the key information in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Here a bar plot is titled Which of the following genres of reality TV shows do you typically watch ?. The x-axis measures 55+. On the y-axis, Response is defined. The highest response was not applicable. Competition and then cooking were the next most popular responses.",
"modality": "text",
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}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Summarize the key information in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Here a bar plot is titled Which of the following genres of reality TV shows do you typically watch ?. The x-axis measures 55+. On the y-axis, Response is defined. The biggest response was that people do not watch reality tv shows. Competition, dating, and supernatural shows all scored amongst the highest actual types of shows.",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Analyze the distribution shown in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "This is a bar graph named Players with the most kick/punt return touchdowns in NFL history as of January 9 , 2020. The y-axis measures Punt return while the x-axis plots National Foootball League players. Leon Washington had no kick/punt return touchdowns. Devin Hester had the most at 14 punt returns. Desmond howard, jack chritiansen and Rick up church all had the same number of kick/punt returns.",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Describe the pattern or trend evident in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Total expenditure in grocery stores in Great Britain in 1st quarter 2015 to 1st quarter 2017 , by grocer (in million GBP) is a bar diagram. Grocers is measured along the y-axis. There is a linear scale with a minimum of 0 and a maximum of 8,000 on the x-axis, marked 12 weeks to March 29, 2015. In the 12 weeks to 29 March 2015 Tesco had the most expenditure at approximately £7,000 (million GBP), and Iceland had the least. Sainsburys and Asda had a very similar expenditure. No grocery store had zero expenditure as would be expected and Iceland, Lidl and Other stores all performed at the lower end of the expenditure scale.",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Estimate the changes over time shown in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Birth rate in the United States from 2005 to 2019 , by poverty status is a line diagram. The x-axis measures Year on linear scale with a minimum of 2006 and a maximum of 2018 while the y-axis plots Income below poverty level along linear scale with a minimum of 0 and a maximum of 100. The birth rate by poverty status has decreased from 2005 to 2019, when it became about 75 (down from just under 100 in 2005).",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Describe the pattern or trend evident in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Birth rate in the United States from 2005 to 2019 , by poverty status is a line diagram. The x-axis measures Year on linear scale with a minimum of 2006 and a maximum of 2018 while the y-axis plots Income below poverty level along linear scale with a minimum of 0 and a maximum of 100. The birth rate trend has slowly decreased since 2008. The birthe rate appeared tp peak in 2008 just before the downward trend started.",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Identify the main components of this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Birth rate in the United States from 2005 to 2019 , by poverty status is a line diagram. The x-axis measures Year on linear scale with a minimum of 2006 and a maximum of 2018 while the y-axis plots Income below poverty level along linear scale with a minimum of 0 and a maximum of 100. the birth rate has slowly declined since 2006, showing a temporary peak in 2008.",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Explain the correlation depicted in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Birth rate in the United States from 2005 to 2019 , by poverty status is a line diagram. The x-axis measures Year on linear scale with a minimum of 2006 and a maximum of 2018 while the y-axis plots Income below poverty level along linear scale with a minimum of 0 and a maximum of 100. Birth rate with poverty status is reducing as 12 years go by from almost 100 down to 80 in 2018.",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "What does this chart reveal about the data?",
"modality": "text",
"role": "user"
},
{
"data": "Birth rate in the United States from 2005 to 2019 , by poverty status is a line graph. The y-axis measures Income 200 percent of poverty level or more. Along the x-axis, Year is plotted as a linear scale from 2006 to 2018. Birth rate by poverty peaked in 2008, but stayed fairly similar over the recent years. Being it nearly the same from 2006 and 2018.",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "What is the chart's main message or takeaway?",
"modality": "text",
"role": "user"
},
{
"data": "This is a bar diagram named Foreign exchange earnings from tourism in India from 2012 to 2016 , with estimates until 2020 , by month (in billion U.S. dollars). The x-axis measures 2020** as linear scale with a minimum of 0.0 and a maximum of 3.0 while the y-axis shows Month as categorical scale starting at Feb and ending at Mar. The highest exchange rate earnings from tourism was january the lowest was march. whilst.",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Describe this chart.",
"modality": "text",
"role": "user"
},
{
"data": "This is a bar chart called Average retail price for bananas in Canada from January 2015 to June 2020 (in Canadian dollars per kilogram). The y-axis measures Month using categorical scale starting with Apr and ending with Sep while the x-axis shows 2015 with linear scale of range 0.0 to 1.5. The prices don’t seem to change much throughout. It seems that bananas are a bit cheaper from Jan to December.",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Explain the correlation depicted in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Here a is a area diagram labeled Number of unprovoked shark attacks worldwide from 2000 to 2019. The y-axis measures Total Attacks while the x-axis plots Year. Between 2000 at 80 attacks and 2015 at 100 attacks .2 increase.",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "What insights can be drawn from this chart?",
"modality": "text",
"role": "user"
},
{
"data": "This line chart is called Number of unprovoked shark attacks worldwide from 2000 to 2019. The y-axis measures Non-fatal with linear scale of range 0 to 100 while the x-axis plots Year as linear scale from 2000 to 2015. That the non-fatal attacks increased in 2015. The non-fatal attacks were the lowest ever between 2005 and 2010.",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Describe the relationship between variables in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Ireland : Government revenue and spending from 2014 to 2024 (in billion euros) is a bar graph. There is a linear scale from 0 to 100 on the x-axis, labeled Spending. Year is drawn using a categorical scale from 2014 to 2024* on the y-axis. Between 2014 and 2024 Irish government spending consistently grew from just over €70 bn at the start of that period to just over €100bn at the end. Only 2016 saw a minor decline in spending.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Describe the relationship between variables in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Costa Rica : Distribution of employment by economic sector from 2010 to 2020 is a area chart. The y-axis plots Industry while the x-axis plots Year. Distribution has remained relatively stable over past few years.",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Explain the correlation depicted in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Costa Rica : Distribution of employment by economic sector from 2010 to 2020 is a area chart. The y-axis plots Industry while the x-axis plots Year. The distribution of employment over the last 10 years in Costa Rica has fluctuated very minimally. With the highest dip between 2012 and 2014.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "What insights can be drawn from this chart?",
"modality": "text",
"role": "user"
},
{
"data": "Costa Rica : Distribution of employment by economic sector from 2010 to 2020 is a area chart. The y-axis plots Industry while the x-axis plots Year. The chart shows that the distribution of employment varies over the time period. It is not clear what the industry axis relates to as the values are numbers with no units.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Analyze the distribution shown in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "This bar diagram is called Export volume of automobiles from India from financial year 2011 to 2020 , by type (in 1,000s). On the y-axis, year is drawn as a categorical scale with FY 2011 on one end and FY 2020 at the other. There is a linear scale with a minimum of 0 and a maximum of 4,000 on the x-axis, labeled Two wheelers. The export of two wheelers from India between 2011 and 2018 has generally increased. Despite small decreases in 2013 and 2017 the overall trend has been increasing exports.",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "What is the chart's main message or takeaway?",
"modality": "text",
"role": "user"
},
{
"data": "Here a bar diagram is titled Distribution of World of Warcraft Horde characters in U.S. and EU realms as of December 2019 , by class. The y-axis measures US realms as linear scale from 0.00 to 0.10 while the x-axis measures World of Warcraft Horde characters along categorical scale starting with Death Knight and ending with Warrior. According to the graph, most US Realms have Horde Characters of Hunters, which specialises in Ranged Attacks and likely buffs in the game. The second most popular Horde Character is the Warrior, who specialises in Close Ranged Combat and likely has a higher defence in the game. The pattern I am seeing is that the two most popular Horde Characters are Offensive Classes, in addition to the Druid Class being third place, which specialises in Offensive Magic.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "What does this chart reveal about the data?",
"modality": "text",
"role": "user"
},
{
"data": "Here a line plot is labeled Number of road traffic-related injuries and fatalities in the U.S. from 1990 to 2018. The x-axis measures Year on linear scale of range 1990 to 2015 while the y-axis plots Injuries with linear scale with a minimum of 0 and a maximum of 3,500,000. The number of road traffic-related injuries and fatalities peaked in 1995, however after this year there was a significant drop in such reports up to 2010 when reports of these incidents began to slowly rise.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Describe the relationship between variables in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Number of road traffic-related injuries and fatalities in the U.S. from 1990 to 2018 is a area chart. On the y-axis, Fatalities is defined with a linear scale with a minimum of 0 and a maximum of 40,000. Year is plotted on a linear scale from 1990 to 2015 on the x-axis. In 1990 there were over 45000 road traffic-related injuries and fatalities in the U.S. In 2010 there were much fewer road traffic-related injuries and fatalities in the U.S. Overall, as the years go by there is a decline in road traffic-related injuries and fatalities in the U.S.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Describe this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Employment rate in Sweden from 2009 to 2019 , by gender is a area plot. A linear scale of range 2010 to 2018 can be found along the x-axis, marked Year. Women is plotted on the y-axis. The chart shows an increase in the employment rate of women in Sweden in the years between 2009 and 2019, from just over 0.6 to nearly 0.7.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Describe the relationship between variables in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "This is a line graph labeled Value of motor vehicles imported and exported in the United Kingdom (UK) from 2007 to 2017 (in billion GBP). Exports is measured as a linear scale of range 0 to 35 along the y-axis. Year is measured on the x-axis. Over the last ten years the general trend of value for Exports has trended upwards. The number of exports from Great Britain more than doubled by 2017. From 2009 to 2010 is the year with the largest increase in percentage of exports. 2008 to 2009 is the year with the largest decrease in percentage of motor vehicle exports. From 2014 to 2015 was they year with the least amount of change in percent of motor vehicles exported.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "What is the chart's main message or takeaway?",
"modality": "text",
"role": "user"
},
{
"data": "This is a line graph labeled Value of motor vehicles imported and exported in the United Kingdom (UK) from 2007 to 2017 (in billion GBP). Exports is measured as a linear scale of range 0 to 35 along the y-axis. Year is measured on the x-axis. The value of automobiles imported into the UK from 2007 to 2017 increased in value, with the steepest increase being from 2015 to 2017.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Analyze the distribution shown in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Digital and print advertising revenue of U.S. newspapers from 2003 to 2014 (in billion U.S. dollars) is a line plot. A linear scale with a minimum of 2004 and a maximum of 2012 can be seen on the x-axis, marked Year. There is a linear scale of range 0 to 50 on the y-axis, marked Print. In 2003 the digital and print advertising revenue of U.S. newspapers was around 45 billon US dollars. After a small rise this then fell from 2005 to 2019 when it reached 25 billion. It has since decreased to roughly 18 billion in 2014.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Summarize the key information in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Here a is a area graph called Digital and print advertising revenue of U.S. newspapers from 2003 to 2014 (in billion U.S. dollars). The y-axis plots Digital with linear scale of range 0.0 to 3.5 while the x-axis plots Year along linear scale of range 2004 to 2012. As of 2004, the digital and printing advertising revenue was very low but through out the years it kept increasing and in 2012 it was able to reach its highest peak.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Estimate the changes over time shown in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Here a is a area graph called Digital and print advertising revenue of U.S. newspapers from 2003 to 2014 (in billion U.S. dollars). The y-axis plots Digital with linear scale of range 0.0 to 3.5 while the x-axis plots Year along linear scale of range 2004 to 2012. There is a gradual increase over the 8-year period from 1.25 in 2004 to 3.4 in 2012. The figure is expected to go up and reach 3.5 the years after.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Describe the pattern or trend evident in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Here a is a area chart labeled Number of passenger cars and commercial vehicles in use worldwide from 2006 to 2015 in (1,000 units). The x-axis measures Year while the y-axis measures Passenger cars. The volume of users is consistently highThere is a rising trend year on year.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Identify the main components of this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Here a is a area chart labeled Number of passenger cars and commercial vehicles in use worldwide from 2006 to 2015 in (1,000 units). The x-axis measures Year while the y-axis measures Passenger cars. As the year increases the number of passenger cars and commercial vehicles in use worldwide increases. It has an exponential increase between 2006 to 2014.",
"modality": "text",
"role": "assistant"
}
] |