diff --git "a/csv_data/val_mmc_bench.csv" "b/csv_data/val_mmc_bench.csv"
new file mode 100644--- /dev/null
+++ "b/csv_data/val_mmc_bench.csv"
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+img_path,caption,neg_caption
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4000.png,' There was a significant increase in something specific in 2014.',' There was a decrease or no change in something specific in 2014.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7477.png,' The data is being represented using an area chart.',' The data is being represented using a bar chart.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2482.png,' The range of the y-axis in the bar plot is from 0.0 to 0.4.',' The range of the y-axis in the bar plot is from 0.5 to 1.0.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7735.png,' The y-axis plots the Outflow of foreign nationals. ',' The y-axis plots the Inflow of foreign nationals.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8310.png,' The spending on all shown can be expected to decrease.',' The spending on all shown can be expected to increase.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1527.png,"' Switzerland is the top importer among Switzerland, UAE, and China.'","' UAE is the top importer among Switzerland, UAE, and China.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4170.png,"' The number of immigrants from 2004 to 2016 generally increased, with one exception year.'","' The number of immigrants remained constant from 2004 to 2016, with one exception year.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8378.png,"' The area diagram for Albania is named ""Albania: Age Structure.""'","' The area diagram for Albania is not named ""Albania: Age Structure.""'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5057.png,' The x-axis measures the year.',' The x-axis measures the temperature.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2405.png,"' The highest number of cases recorded on the y-axis is 8,000.'","' The highest number of cases recorded on the y-axis is 10,000.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4012.png,"' The volume of U.S. imports of trade goods in 2009 experienced a significant decrease, with a drop between -0.2 and -0.3.'",' The volume of U.S. imports of trade goods in 2009 saw a slight increase or remained relatively stable with no significant changes.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5975.png,' Warren Spahn won approximately 350 games.',' Warren Spahn won more than 400 games.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5228.png,"' The highest number of employees displayed in the line plot is 80,000.'","' The highest number of employees displayed in the line plot is 70,000.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4396.png,' Vale produced 400 tonnes of copper.',' Vale did not produce 400 tonnes of copper.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2032.png,' Russia has a lower level of freedom compared to Georgia.',' Georgia has a lower level of freedom compared to Russia.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3837.png,' The y-axis on the bar diagram represents the countries affected by terrorism incidents in 2019.',' The y-axis on the bar diagram represents the countries unaffected by terrorism incidents in 2019.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4139.png,"' The area graph represents the urbanization trend in Pakistan from 2009 to 2019, specifically showing the share of urban population in the total population over time.'","' The area graph represents the economic growth rate in Pakistan from 2009 to 2019, specifically showing the fluctuations in GDP over time.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1128.png,' The average ticket price has not changed significantly since 2005.',' The average ticket price has increased significantly since 2005.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3414.png,"' The bar diagram depicts the distribution of sickness absence in the United Kingdom (UK) in 2013, categorized by reason.'","' The bar diagram depicts the distribution of work-related injuries in the United Kingdom (UK) in 2013, categorized by reason.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-656.png,' The maximum value of the x-axis in the line graph is 2018.',' The maximum value of the x-axis in the line graph is 2020.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5548.png,' The largest surge in national debt was from 2015 to 2016.',' The largest surge in national debt was from 2008 to 2009.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-676.png,"' The line plot representing Apple's net income is named ""Apple's net income.""'","' The line plot representing Apple's net income is named ""Google's net income.""'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3933.png,' The data starts in 2011 and ends in 2020.',' The data starts in 2021 and ends in 2022.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2282.png,' The subject matter being represented in the line chart is the annual number of deaths resulting from breast cancer in Spain.',' The subject matter being represented in the line chart is the annual number of deaths resulting from lung cancer in Spain.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3584.png,' Matumbaman has the least gross earnings among all players represented.',' Matumbaman has the highest gross earnings among all players represented.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8063.png,' The economic sector shown on the y-axis is Agriculture.',' The economic sector shown on the y-axis is Manufacturing.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2945.png,"' The area plot is named ""Los Angeles Chargers player expenses (payroll) from 2001 to 2019 (in million U.S. dollars).""'","' The area plot is named ""Average NFL player expenses (payroll) from 2001 to 2019 for all teams (in million U.S. dollars).""'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1157.png,"' Cardiac & thoracic surgery, neurological surgery, and orthopaedic surgery (spine) have the highest average compensations among all types of surgery.'",' Plastic surgery has the highest average compensation among all types of surgery.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1452.png,"' The y-axis represents the occupancy rate of available hotel beds in Mallorca, Spain.'","' The y-axis represents the total number of available hotel beds in Mallorca, Spain.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8359.png,' The trend in refinery gold production in the United States showed a steady increase from 2008 to 2019.',' The trend in refinery gold production in the United States significantly declined from 2008 to 2019.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7989.png,' The mall revenue of The Outlets at Sands Bethlehem in 2015 is not provided in the given image.',' The mall revenue of The Outlets at Sands Bethlehem in 2015 was $10 million.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1909.png,' The profits showed a dip but they grew again over time.',' The profits showed a consistent decline over time.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4665.png,' The unit of measurement on the y-axis is million metric tons.',' The unit of measurement on the y-axis is kilograms.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-252.png,' The y-axis measures Age in years along a linear scale with a minimum of 0 and a maximum of 50 in the bar graph.',' The y-axis measures Gender in the bar graph.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-654.png,' Global unemployment has been decreasing',' Global unemployment has been increasing'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6634.png,"' The label on the y-axis of the area diagram is ""Services"".'","' The label on the y-axis of the area diagram is ""Gross Domestic Product"".'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2113.png,' Interest rates in Indonesia started being over 0.04 in 2008.',' Interest rates in Indonesia have never been over 0.04.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5303.png,' The response category with a value of approximately 0.625 is Software application development.',' The response category with a value of approximately 0.625 is Network security.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8561.png,"' In the line chart of Mozambique's age structure from 2009 to 2019, the x-axis represents the years.'","' In the line chart of Mozambique's age structure from 2009 to 2019, the x-axis represents the population age groups.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-174.png,' The per capita income in New Jersey has shown a steady upward trend without major fluctuations from 2000 to 2019.',' The per capita income in New Jersey has experienced significant fluctuations and remained unstable from 2000 to 2019.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1247.png,' The minimum number of Housing Development Board apartment units depicted on the y-axis is always 0.',' The minimum number of Housing Development Board apartment units depicted on the y-axis is always greater than 0.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3330.png,' The bar plot represents the usage of sites or services in the past three months.',' The bar plot represents the usage of sites or services in the past six months.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6916.png,' The y-axis on the bar graph measures Operating profit in million euros.',' The y-axis on the bar graph measures Number of employees.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5779.png,"' The overall trend of Whatsapp growth in India and Kenya is significant, trailing closely behind Egypt's growth. '","' The overall trend of Whatsapp growth in India and Kenya is insignificant, lagging far behind Egypt's growth.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3590.png,' The number of mobile connections has remained stable from 2014-2019.',' The number of mobile connections has significantly changed or fluctuated between 2014-2019.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-363.png,' The area plot focuses on Japan.',' The area plot focuses on China.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-896.png,' The y-axis of the bar diagram plots the share of respondents. ',' The y-axis of the bar diagram plots the frequency of respondents.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3767.png,' The area diagram covers the years from 2008 to 2017.',' The area diagram covers the years from 2010 to 2015.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6145.png,' The range of the y-axis is 0.00 to 0.35.',' The range of the y-axis is 0.35 to 0.00.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-531.png,' A categorical scale is used along the y-axis.',' A numerical scale is used along the y-axis.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5326.png,"' The y-axis represents the different countries of origin of the imported tuna, ranging from Ecuador to Thailand.'",' The y-axis represents the different species of tuna found in the ocean.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8775.png,' The scale range on the y-axis of the graph is from 0.0 to 0.6.',' The scale range on the y-axis of the graph is from 0.7 to 1.0.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5698.png,' The USA's Biomass energy consumption started to remain constant around 2014.',' The USA's Biomass energy consumption started to remain constant around 2009.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2929.png,' The years 2016 to 2019 experienced the peak in live births.',' The years 2000 to 2003 experienced the peak in live births.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2771.png,' Wendy's experienced a slump in profits in 2011 and 2015.',' Wendy's experienced a slump in profits in 2008 and 2013.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5178.png,' The largest percentage increase in the gross consolidated debt occurred in 2019.',' The largest percentage increase in the gross consolidated debt occurred in 2020.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-775.png,' The graduation rate is plotted on the x-axis of the graph.',' The average income is plotted on the x-axis of the graph.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5121.png,' The area diagram represents CVS Health's share of retail prescriptions filled in the United States over the period from 2012 to 2025.',' The area diagram represents the total number of retail prescriptions filled in the United States by all pharmacies.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1179.png,' The scale used for plotting the financial years on the y-axis is a categorical scale.',' The scale used for plotting the financial years on the y-axis is a numerical scale.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4377.png,' The highest unemployment rate in Austria between 1999 and 2020 was recorded in 2010.',' The highest unemployment rate in Austria between 1999 and 2020 was recorded in 2004.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8408.png,' AG Insurance had the largest market share between 2015 and 2019.',' AG Insurance did not have the largest market share between 2015 and 2019.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2196.png,' The rates of treat-and-release ED visits for animal-related injuries data is from the year 2009.',' The rates of treat-and-release ED visits for animal-related injuries data is from the year 2015.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3134.png,' The unit of measurement for the total U.S. grain supply is million metric tons.',' The unit of measurement for the total U.S. grain supply is kilograms.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1068.png,"' Loud neighbors can disrupt the sleep and peace of other hotel guests, negatively impacting their overall experience and making it difficult for them to relax and enjoy their stay.'",' Loud neighbors have no effect on the hotel experience.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4650.png,' The lowest satisfaction level during the dip period was just above 70%.',' The lowest satisfaction level during the dip period was well below 70%.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8505.png,"' The title of the bar plot is ""Average retail price for roasted coffee in Canada from January 2015 to June 2020 (in Canadian dollars per 300 grams).""'","' The title of the bar plot is ""Population growth in major cities of Canada from 2010 to 2020.""'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1933.png,' The trend in duck production in Indonesia between 2006 and 2016 is a steady increase.',' The trend in duck production in Indonesia between 2006 and 2016 is a steady decrease.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5127.png,' The minimum value on the y-axis in the area diagram is 0.0.',' The minimum value on the y-axis in the area diagram is -1.0.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5450.png,' The wind energy industry experienced the fastest increase in jobs in 2015.',' The wind energy industry experienced the fastest increase in jobs in 2019.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7010.png,"' The bar chart shows the length of time respondents in different countries think the coronavirus outbreak will last, with a focus on durations ranging from 4-5 months to longer than a year.'",' The bar chart shows the number of respondents from different countries who believe the coronavirus outbreak will last for exactly 6 months.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5659.png,' The percentage ratio between heart disease and other diseases is significantly higher compared to other diseases.',' The percentage ratio between heart disease and other diseases is similar to or lower than the percentage ratios of other diseases.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8558.png,' Signal Iduna Park stadium hosted the most events in Germany in the first part of 2013.',' Allianz Arena stadium hosted the most events in Germany in the first part of 2013.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4266.png,' Further analysis or accessing the data for specific years is required to determine the highest net income achieved by Zalando.',' The highest net income achieved by Zalando within the given period can be determined directly from the area chart.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7006.png,' The highest value that selective retailing reached was just below 15000.',' The highest value that selective retailing reached was above 15000.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8470.png,' The condition of the runways has not improved since 2010.',' The condition of the runways has improved since 2010.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4827.png,' The unit of measurement used for the y-axis is million megawatt hours.',' The unit of measurement used for the y-axis is kilowatts.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7887.png,' The line graph provides information about the highest recorded number of Twitter followers for the Cincinnati Bengals in millions.',' The line graph does not provide information about the highest recorded number of Twitter followers for the Cincinnati Bengals in millions.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8660.png,' The x-axis in the Indonesia Age Structure diagram represents the years.',' The x-axis in the Indonesia Age Structure diagram represents the age groups.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8368.png,"' The field of study with the most African graduates was ""Business, Economics and Management"" with 35,000.'","' The field of study with the most African graduates was ""Medicine and Healthcare"" with 35,000.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5852.png,' Penske Logistics has a net revenue slightly more than $2000 million.',' Penske Logistics does not have a net revenue slightly more than $2000 million.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3063.png,' The volume of US exports of trade goods to Malaysia has significantly increased compared to 1985.',' The volume of US exports of trade goods to Malaysia has significantly decreased compared to 1985.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2949.png,' The age group represented in the area graph is 14 to 24.',' The age group represented in the area graph is 25 to 34.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3425.png,' The export value in the area graph is represented in thousand GBP.',' The export value in the area graph is represented in US dollars.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5169.png,' The x-axis measures the variable being compared in the bar plot.',' The x-axis measures the number of deaths.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7670.png,' The number of people getting married has shown a gradual increase over time.',' The rise in the number of people getting married is not significant and remains constant.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4646.png,"' After 2011, the trend in shooting sports participation continued to rise.'",' The trend in shooting sports participation declined after 2011.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7032.png,' The maximum value on the x-axis scale is 0.6.',' The maximum value on the x-axis scale is 0.8.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5697.png,' The highest value of net income shown on the bar plot is 15 billion U.S. dollars.',' The highest value of net income shown on the bar plot is 10 billion U.S. dollars.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2552.png,' Wesley Sneijder is the goal scorer labeled as the last on the x-axis.',' Wesley Sneijder is not the goal scorer labeled as the last on the x-axis.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2486.png,' The highest amount of US dollars consumed was 4 billion.',' The highest amount of US dollars consumed was 1 trillion.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6127.png,' There is a noticeable difference in the industry's performance between 2010 and 2020.',' There is no difference in the industry's performance between 2010 and 2020.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3665.png,' Life expectancy in Sweden increased between 2008 and 2018.',' Life expectancy in Sweden decreased between 2008 and 2018.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7424.png,"' The title of the bar plot is ""Total value of retail real estate investment in Europe from first to third quarter of 2018 and 2019, by city (in million euros)"".'","' The title of the bar plot is ""Average temperature in European cities from 2018 to 2019"".'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5880.png,"' The overall performance of the companies was mixed, but three of them had a really strong year with high turnovers.'",' The overall performance of the companies was consistently strong with all of them having high turnovers.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2657.png,' The relative distribution between chemical synthetic and biological protein antibodies is dominated by chemical synthesis.',"' The relative distribution between chemical synthetic and biological protein antibodies is evenly balanced, with both having a significant presence.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8785.png,' The scale on the y-axis ranges from 0.0 to 0.6.',' The scale on the y-axis ranges from 0.0 to 1.0.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8009.png,' It is expected that the population will continue to increase steadily in the upcoming years.',' It is believed that the population will remain constant in the upcoming years.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3098.png,' There was a decrease in the number of passengers boarding in 2009.',' There was no decrease in the number of passengers boarding in 2009.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8571.png,"' The line graph represents the monthly prevalence of health-related workplace absenteeism among full-time workers during the 2017-2018 influenza season, categorized by gender.'","' The line graph represents the daily prevalence of health-related workplace absenteeism among part-time workers during the 2019-2020 influenza season, categorized by age.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7912.png,' The line diagram shows the share of economic sectors in the GDP from 1997 to 2007.',' The line diagram shows the share of economic sectors in the GDP from 2007 to 2017.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4504.png,' The lowest net income of Chuck E. Cheese worldwide was -60 million dollars in 2014.',' The lowest net income of Chuck E. Cheese worldwide was -40 million dollars in 2014.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3803.png,' Anti-biotics and Anti-infectives saw one of the highest percentages of ADEs (adverse drug events) in US hospitals in 2014.',"' Other categories of medications, such as pain relievers or cardiovascular drugs, saw higher percentages of ADEs in US hospitals in 2014 compared to anti-biotics and anti-infectives.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1985.png,' Jack Nicklaus won the most Masters in the time frame mentioned.',' Tiger Woods won the most Masters in the time frame mentioned.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8691.png,' The x-axis represents the years from 1999 to 2019.',' The x-axis represents the months from January to December.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4025.png,' The range of years represented on the x-axis is from 2015 to 2025.',' The range of years represented on the x-axis is from 2000 to 2010.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7413.png,' The range of values on the y-axis is from 0 to 250.',' The range of values on the y-axis is from 100 to 350.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4568.png,' The cost started rising in 2013.',' The cost started rising in 2014.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3255.png,"' The range of the x-axis on the bar chart is from 0 to 150,000.'","' The range of the x-axis on the bar chart is from 0 to 100,000.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1569.png,' The x-axis of the chart plots the years from 2008 to 2018.',' The x-axis of the chart plots the months from 2008 to 2018.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8562.png,"' The y-axis on the graph represents the percentage of people aged 65 years and older in Mozambique, ranging from 0.000 to 0.035.'",' The y-axis on the graph represents the total population of Mozambique.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5730.png,"' The unit of measurement on the x-axis of the line diagram is ""Year"".'","' The unit of measurement on the x-axis of the line diagram is ""Month"".'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2453.png,' The number of Covid cases in Egypt increased significantly between April 2020 and January 2021.',' The number of Covid cases in Egypt remained stable or decreased between April 2020 and January 2021.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5544.png,' The poverty rate in 2011 was approximately 0.18%.',' The poverty rate in 2011 was nearly 10%.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2863.png,' The Trade union density graph covers the years from 2000 to 2013.',' The Trade union density graph covers the years from 1995 to 2005.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2349.png,"' The range of names on the x-axis starts at ""Alessandro"" and ends at ""Tommaso"".'","' The range of names on the x-axis starts at ""Francesco"" and ends at ""Giuseppe"".'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1410.png,' The highest all-time transfer fees of Dutch football players as of September 2019 cover the time period from the inception of professional football in the Netherlands until September 2019.',' The highest all-time transfer fees of Dutch football players as of September 2019 cover only the time period from 2010 onwards.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7535.png,' The age structure is highest in 2018.',' The age structure is highest in 2020.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1275.png,' The data was collected in 2019.',' The data was collected in 2020.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3887.png,' The number of users of elliptical motion trainers never went below 20 million.',' The number of users of elliptical motion trainers went below 20 million at some point.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2491.png,' China imported over 8 million metric tons of US soya beans in 2018.',' China did not import over 8 million metric tons of US soya beans in 2018.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8213.png,"' Based on historical data, the population of North America has generally increased over time.'","' The population of North America can decrease over time due to various factors such as declining birth rates, increased mortality rates, or significant emigration.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3761.png,' The movie Cats and Dogs: Paws United was one of the worst performing movies.',' The movie Cats and Dogs: Paws United was not one of the worst performing movies.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6886.png,' The bar diagram covers the years from 2003 to 2018.',' The bar diagram covers the years from 2000 to 2014.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5034.png,' The y-axis in a bar diagram plots the residents in million.',' The y-axis in a bar diagram plots the total number of bars.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1491.png,' The time period covered by the graph is from 2005 to 2018.',' The time period covered by the graph is from 2003 to 2020.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1505.png,' The number of wage and salary workers has increased by approximately 120 million between the years 1979 and 2019.',' The number of wage and salary workers has remained the same between the years 1979 and 2019.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1148.png,' The data collection on the line chart ends in the year 2018.',' The data collection on the line chart ends in the year 2019.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5346.png,' There was a notable peak in the penetration rates of mobile subscriptions in 2013.',' There was no notable peak in the penetration rates of mobile subscriptions in 2013.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2151.png,"' The lowest gross output mentioned is just under 4 billion US dollars, while the highest gross output mentioned is around 7 billion US dollars.'","' The lowest gross output mentioned is around 7 billion US dollars, while the highest gross output mentioned is just under 4 billion US dollars.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8443.png,"' The y-axis on the bar graph represents the confidence levels measured on a linear scale, ranging from 0.00 (minimum) to 0.06 (maximum).'",' The y-axis on the bar graph represents the time or duration of the data being displayed.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7855.png,"' Coca Cola reported an income of under 8,000,000,000 in 2017.'","' Coca Cola reported an income of over 8,000,000,000 in 2018.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1633.png,"' After the significant jump in 2015, the revenue experienced a dip. '","' After the significant jump in 2015, the revenue continued to increase significantly.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-479.png,"' ""Alaska had the lowest proportion of earthquakes in the US between 1974 and 2003.""'","' ""California had the lowest proportion of earthquakes in the US between 1974 and 2003.""'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3932.png,' The person can derive useful information and patterns from the given graph.',' The person cannot find any useful information or patterns from the given graph.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4389.png,' The ticket prices have not exceeded $30 for the majority of the years.',' The ticket prices have occasionally exceeded $30 over the years.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7331.png,' The minimum power rating of the top 10 largest wind turbines worldwide is 5 megawatts.',' The minimum power rating of the top 10 largest wind turbines worldwide is 10 megawatts.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7327.png,' The diagram only presents data from 2009 to 2019; there is no information about years beyond 2019.',"' The diagram includes data for years beyond 2019, providing information about future trends.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5934.png,' The predicted population density in Spain from 209 to 2025 is expected to remain at current levels.',' The predicted population density in Spain from 209 to 2025 is expected to significantly increase or decrease compared to current levels.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-471.png,"' The number of police stop and searches peaked during 2008/09, according to available data.'",' The number of police stop and searches peaked during 2012/13.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8642.png,' The increase in the population of Hong Kong living outside the 15-64 age boundary suggests an increase in life expectancy.',' The increase in the population of Hong Kong living outside the 15-64 age boundary suggests a decrease in infant mortality rates.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3659.png,' Player expenses increased to almost 120 million US dollars in the 2018/2019 season.',' Player expenses decreased to almost 120 million US dollars in the 2018/2019 season.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3907.png,"' Only two cities and municipalities, Antwerpen and Ghent, have a population over 200,000.'","' Multiple cities and municipalities have a population over 200,000.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4208.png,' Virgin Media's revenues consistently increased each year between 2008 and 2019.',' Virgin Media's revenues declined each year between 2008 and 2019.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7485.png,' The bar plot covers the years from 2002 to 2019.',' The bar plot covers the years from 2010 to 2017.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2534.png,' The ratio of non-hydro renewables in 2012 was higher than in 2008.',' There were half as many non-hydro renewables in 2012 compared to 2008.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2107.png,"' The y-axis of the line plot represents the infant mortality rate in deaths per 1,000 live births.'",' The y-axis of the line plot represents the average income per capita.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4817.png,' Ontario has a higher population than Quebec.',' Quebec has a higher population than Ontario.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3676.png,"' The range of the x-axis in the bar diagram is from 0.0 to 0.8, plotted on a linear scale.'","' The range of the x-axis in the bar diagram is from 0.0 to 0.8, plotted on a logarithmic scale.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1339.png,' Annual spending growth is measured on the x-axis along a linear scale of range 0.00 to 0.06.',' Annual spending growth is measured on the y-axis along a linear scale of range 0.00 to 0.06.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1762.png,' The line chart covers the period from 2008 to 2018.',' The line chart covers the period from 2009 to 2017.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7792.png,' The net income for medical companies started to increase again in 2013.',' The net income for medical companies started to increase again in 2015.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5040.png,' Not all the influencers on Twitter received the same score.',' All the influencers on Twitter received the same score.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1417.png,' The number of publicly owned hospitals in Germany decreased from 2015 to 2017.',' The number of publicly owned hospitals in Germany increased from 2015 to 2017.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1184.png,' The overall time frame covered by the line graph is from 2005 to 2019.',' The overall time frame covered by the line graph is from 2003 to 2021.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8595.png,' The bar chart covers the time period from 2015/16 to 2019/20.',' The bar chart covers the time period from 2020/21 to 2022/23.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-399.png,' The majority of the players have less than 3000 yards.',' The majority of the players have more than 3000 yards.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1008.png,' The highest year represented on the bar graph is 2020.',' The highest year represented on the bar graph is 2019.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8041.png,' Customer satisfaction with online news brands significantly increased over the years.',' Customer satisfaction with online news brands significantly decreased over the years.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6084.png,"' The latest date of the data represented in the diagram is March 30, 2016.'","' The latest date of the data represented in the diagram is April 1, 2016.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3754.png,' The highest year displayed on the x-axis of the graph is 2019.',' The highest year displayed on the x-axis of the graph is 2021.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7754.png,"' There was a significant decrease in the female population of Venezuela after 2014-15, with the bell curve showing a decline to under 15 million again.'","' There was no significant decrease in the female population of Venezuela after 2014-15, and the bell curve did not fall to under 15 million again.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1598.png,"' The name of the bar plot is ""Number of active physicians in Massachusetts in 2020, by specialty area"".'","' The name of the bar plot is ""Average salary of doctors in Massachusetts in 2020, by specialty area"".'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6547.png,"' The highest number of apps plotted on the y-axis is 3,000,000.'","' The highest number of apps plotted on the y-axis is 1,000,000.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1777.png,"' The topic of the survey in this graph is ""What keeps you coming back to use the health club you currently belong to?"".'","' The topic of the survey in this graph is ""What are the common health problems faced by individuals who use health clubs regularly?"".'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1132.png,"' Based on the image, translating foreign languages is considered the least popular activity.'","' Based on the image, participating in recreational sports is considered the least popular activity.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8187.png,"' The United States produced a significant number of vehicles in 2019, with the exact number being 8000.'","' The United States produced a small number of vehicles in 2019, with only 8000 being manufactured.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6951.png,' The x-axis on the bar chart represents the year 2009.',' The x-axis on the bar chart does not represent the year 2009.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5293.png,' The range of the lowest three concerns is approximately 0.05 to 0.06.',' The range of the lowest three concerns is about half of 0.1 to just under half of 0.1.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4196.png,' The revenue of the St Louis Cardinals in 2019 was $380 million dollars.',' The revenue of the St Louis Cardinals in 2019 was $500 million dollars.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2816.png,' Motorcycle deaths reduced over the 10 years.',' Motorcycle deaths have continuously decreased throughout the entire study.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5227.png,' The consumer confidence index chart covers the period from December 2015 to December 2019.',' The consumer confidence index chart covers the period from December 2015 to January 2020.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5556.png,"' Google's scale increased significantly from 2001 to 2019, going from 0 to more than 20 million.'","' Google's scale remained constant from 2001 to 2019, staying at 0.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4222.png,"' The production level during the peak years was 500,000 litres per year.'","' The production level during the peak years was 600,000 litres per year.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2188.png,"' The bar chart displays the search volume for online poker related keywords in the United Kingdom (UK) in March 2016, measured in thousands of searches.'","' The bar chart displays the search volume for online poker related keywords in the United Kingdom (UK) in February 2016, measured in millions of searches.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3188.png,' Female respondents have low interaction with insurance and finance brands.',' Female respondents have high interaction with insurance and finance brands.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6956.png,' There is an overall increase in employment between 2010 and 2018.',' There is a decline in employment between 2010 and 2018.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7402.png,' The range of values shown on the y-axis is from 0 to 80. ',' The range of values shown on the y-axis is from 100 to 200.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5624.png,' The measure of the y-axis in the line chart represents the Unemployment rate.',' The measure of the y-axis in the line chart represents the Gross Domestic Product.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-699.png,' The 20% revenue growth for FedEx indicates a strong and positive financial performance during 2016-2017.',' The 20% revenue growth for FedEx has no significance and does not reflect the company's financial performance during 2016-2017.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6661.png,"' The bar graph represents data from 2010 to 2019, covering a period of 10 years.'","' The bar graph represents data from 2005 to 2014, covering a period of 9 years.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-516.png,' The album 'color on me' by Kang Daniel was at the bottom of the list of the top-selling physical music albums in South Korea in 2019.',' The album 'color on me' by Kang Daniel was at the top of the list of the top-selling physical music albums in South Korea in 2019.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5390.png,' The average life expectancy mentioned in the image is approximately 70 years.',' The average life expectancy mentioned in the image is approximately 80 years.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6421.png,' The x-axis plots the years from 2008 to 2019.',' The x-axis plots the months from 2008 to 2019.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8536.png,"' The range of values displayed on the y-axis for the ""0-14 years"" measurement is from 0.00 to 0.15.'","' The range of values displayed on the y-axis for the ""0-14 years"" measurement is from 0.16 to 0.30.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6404.png,' One-word queries on Bing are more popular than two-word queries.',' Two-word queries on Bing are more popular than one-word queries.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5974.png,' The data presented in the bar plot is for the year 2020.',' The data presented in the bar plot is for a different year other than 2020.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6167.png,' The figures stay consistently under 0.3.',' The figures occasionally exceed 0.3.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1727.png,"' The years 2000 to 2019 are significant in relation to per capita personal income in Michigan, as they represent a period of consistent increase in per capita personal income.'","' The years 2000 to 2019 are not significant in relation to per capita personal income in Michigan, as there was no noticeable change or improvement in per capita personal income during this time period.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7814.png,"' France, Germany, and Italy are among the top countries with the highest retail value.'","' France, Germany, and Italy are the only countries with the highest retail value.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2052.png,' The x-axis in the area diagram represents the years from 2010 to 2018 on a linear scale.',' The x-axis in the area diagram represents the months from January to December on a linear scale.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6708.png,' The amount of EU imports decreased from 2013 to 2016.',' The amount of EU imports increased from 2013 to 2016.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1520.png,"' The name of the bar chart is ""Spain: Share of global gross domestic product (GDP) adjusted for Purchasing Power Parity (PPP)"".'","' The name of the bar chart is ""United States: Share of global gross domestic product (GDP) adjusted for Purchasing Power Parity (PPP)"".'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8271.png,' The period of decline in revenue lasted for three years.',' The period of decline in revenue lasted for six months.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2097.png,' The response and share of global GDP has decreased since 2017.',' The response and share of global GDP has increased since 2017.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7282.png,' The share drops to around 0.25 in the year 2015.',' The share drops to around 0.25 in the year 2016.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6494.png,"' The title of the line graph is ""Tunisia: Distribution of employment by economic sector from 2010 to 2020.""'","' The title of the line graph is ""Tunisia: Unemployment rates by economic sector from 2010 to 2020.""'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-318.png,' Argentina had the lowest annual consumption of fluid cow milk in 2019.',' Brazil had the lowest annual consumption of fluid cow milk in 2019.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6993.png,' The respondents in the graph belong to the older children age group.',' The respondents in the graph do not belong to the older children age group.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2294.png,' The total investment of private equity companies is shown from 2007 to 2016.',' The total investment of private equity companies is shown from 2005 to 2014.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6047.png,' Airline insurance reached its peak in 2010.',' Airline insurance reached its peak in 2005.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6844.png,' The age range represented on the y-axis is 0-14 years.',' The age range represented on the y-axis is 15-29 years.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-440.png,' The purpose of the bar plot is to visualize the relationship between National debt and GDP in South Sudan over the years.',' The purpose of the bar plot is to compare the National debt and GDP of South Sudan with other countries.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7558.png,' CIS represents a region on the bar chart.',' CIS does not represent a region on the bar chart.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6314.png,' The distribution of GDP was the lowest in 2011.',' The distribution of GDP was the highest in 2011.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-437.png,"' The population of Bosnia and Herzegovina peaked around 1990 at around 4,500,000 people.'","' The population of Bosnia and Herzegovina peaked around 1990 at around 3,500,000 people.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-818.png,' The chart covers the years from 1999 to 2020.',' The chart covers the years from 2000 to 2021.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-793.png,' The number of newlyweds peaked in 2010.',' The specific number of newlyweds in 2010 was mentioned.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8405.png,' The declining trend in GDP lasted from 2012 until 2016.',' The declining trend in GDP lasted from 2012 until 2018.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3427.png,' The main topic of the graph is the urbanization trends in Vanuatu between 2009 and 2019.',' The main topic of the graph is the population growth in Vanuatu from 2009 to 2019.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6722.png,"' Opinions on the death penalty have fluctuated over time, with an increase in opposition since the late 2000s.'",' Opinions on the death penalty have remained consistently in favor with no significant change over time.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4118.png,"' The highest value on the y-axis is 0.2, representing the maximum share of page views.'","' The highest value on the y-axis is 1, representing the maximum share of page views.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6567.png,"' In 2019, both Amazon and Apple had leading revenues.'","' In 2018, both Amazon and Apple had leading revenues.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7052.png,"' The title of the line diagram is ""Percentage of households in the U.S. from 1990 to 2020, by type.""'","' The title of the line diagram is ""Number of households in the U.S. from 1990 to 2020, by type.""'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4645.png,' The websites are plotted on the x-axis of the bar diagram using a categorical scale.',' The websites are plotted on the x-axis of the bar diagram using a numerical scale.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4566.png,' The percentage of home births in Montana is higher than the national average. ',' Home births are uncommon in Montana and have a lower percentage compared to other states.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7339.png,' There was a decline in the sales pattern of imported beer after 2018.',' There was an increase in the sales pattern of imported beer after 2018.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-46.png,' The overall trend of the operating revenue is increasing.',' The overall trend of the operating revenue is decreasing.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-206.png,' The chart shows a significant drop in doping cases between 2006 and 2009.',' The chart shows a significant increase in doping cases between 2006 and 2009.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4798.png,"' The bar plot shows the number of students enrolled in postsecondary institutions in Canada in 2017/18, categorized by province.'","' The bar plot shows the number of students enrolled in secondary schools in Canada in 2017/18, categorized by province.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4509.png,' There has not been a significant increase or decrease in attendance over the years. It remains fairly constant over time.',' There has been a significant increase in attendance over the years.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2880.png,"' The scale marked on the y-axis is a categorical scale representing different expenditures, ranging from Bait to Public transportation.'",' The scale marked on the y-axis is a numerical scale representing the amount of money spent on each category of expenditure.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5697.png,' Novartis has consistently achieved incomes in excess of 5 billion dollars each year from 2007 to 2019.',' Novartis has consistently achieved incomes below 5 billion dollars each year from 2007 to 2019.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5316.png,' The graph covers the time period from 1997 to 2019.',' The graph covers the time period from 2001 to 2015.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1678.png,' There has been a slight negative shift in the average weekly hours worked in Canada between 2000 and 2019.',' There has been a significant change in the average weekly hours worked in Canada between 2000 and 2019.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1881.png,"' The label on the x-axis is ""Software company.""'","' The label on the x-axis is ""Hardware company.""'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4959.png,' The x-axis of the bar graph represents the years from 2014 to 2025 on a categorical scale.',' The x-axis of the bar graph represents the months from 2014 to 2025 on a numerical scale.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2587.png,' Virginia has a higher smoking rate compared to Indiana.',' Indiana has a higher smoking rate compared to Virginia.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7580.png,"' The x-axis in the bar diagram is labeled from City/County to United arts funds, measuring not-for-profit theatres.'","' The x-axis in the bar diagram is labeled from City/County to United arts funds, measuring for-profit theatres.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7427.png,' The y-axis is scaled using a linear scale.',' The y-axis is scaled using a logarithmic scale.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4298.png,' The bar plot plots different categories or variables related to the chemical company on the x-axis.',' The bar plot does not represent any specific information or category related to the chemical company on the x-axis.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3314.png,' The demand has been unsteady since 2006.',' The demand has been consistent since 2006.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3286.png,' The range of the y-axis in the graph is from 0 to 14 million tonnes of CO2 equivalent.',' The range of the y-axis in the graph is from 0 to 10 million tonnes of CO2 equivalent.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3829.png,"' The variable measured on the x-axis is the ""Number of hospital admissions.""'","' The variable measured on the x-axis is the ""Length of hospital stays.""'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2749.png,"' The title of the line diagram is ""Amount of money invested in rail transport infrastructure in Denmark from 2004 to 2016 (in million euros)"".'","' The title of the line diagram is ""Number of passengers using rail transport in Denmark from 2004 to 2016"".'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-834.png,' The visitor count as of 2019 exceeded 2.5 million.',' The visitor count as of 2019 was less than 2.5 million.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8243.png,' The treatment rate in Newfoundland and Labrador was the highest.',' The treatment rate in Newfoundland and Labrador was the lowest.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4233.png,' Black families with a single father were a minority in the U.S. from 1990 to 2019.',' Black families with a single father were a majority in the U.S. from 1990 to 2019.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3020.png,' The number of employees at Macy's remained stable between 2017 and 2018.',' The number of employees at Macy's increased between 2017 and 2018.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4688.png,' Gillette's growth decreased overall.',' Gillette's growth increased overall.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7452.png,' The distribution has generally increased from 2009 to 2019.',' The distribution has generally decreased from 2009 to 2019.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1492.png,' The graph shows the unemployment rate for individuals aged 15 to 24 years in Timor Leste.',' The graph represents the population growth rate in Timor Leste.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8061.png,' The graph represents the number of Facebook fans/twitter followers of the Jacksonville Jaguars (NFL) from 2012 to 2020.',' The graph represents the number of Instagram followers of the Jacksonville Jaguars (NFL) from 2012 to 2020.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7607.png,' Four music activities had an average spend between 0.1 and 0.2.',' Three music activities had an average spend between 0.1 and 0.2.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7028.png,"' The line diagram represents the data of the number of Facebook fans of the Las Vegas Raiders (NFL) from 2012 to 2020 in millions. The y-axis represents the Facebook fans, while the x-axis represents the months.'","' The line diagram represents the data of the number of Twitter followers of the Las Vegas Raiders (NFL) from 2012 to 2020 in millions. The y-axis represents the Twitter followers, while the x-axis represents the months.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6452.png,"' In the UK, the majority of respondents have reported low fear levels or are not at all scared.'","' In the UK, a significant percentage of respondents have reported high fear levels or are extremely scared.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1691.png,' The x-axis represents the countries in the Middle East.',' The x-axis represents the months of the year.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5817.png,' Ticket prices increased from 10/11 to 14/15.',' Ticket prices decreased from 10/11 to 14/15.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3705.png,' The range of years represented on the y-axis is from 2015 to 2025.',' The range of years represented on the y-axis is from 2010 to 2020.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6607.png,' The median age for women getting married in the USA has been increasing over time.',' The median age for women getting married in the USA has been decreasing over time.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6239.png,' The range of the y-axis in 2020 is from 0.0 to 2.0.',' The range of the y-axis in 2020 is from 1.5 to 2.5.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6621.png,"' The area diagram is named ""Cambodia: Age structure from 2009 to 2019.""'","' The area diagram is named ""Vietnam: Wealth distribution from 2009 to 2019.""'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4173.png,' The y-axis on the bar chart represents the number of arson offenses in the United States in 2019.',' The y-axis on the bar chart represents the percentage of arson offenses in the United States in 2019.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4608.png,' The data in the bar graph corresponds to the year 2019.',' The data in the bar graph corresponds to the year 2022.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5502.png,"' The y-axis in the bar graph measures the ""Number of millionaire households"" using a linear scale.'","' The y-axis in the bar graph measures the ""Percentage of millionaire households"" using a linear scale.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4791.png,' Players' expenses have declined since their peak.',' Players' expenses have increased since their peak.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3773.png,"' Investments grew from around 150,000 million Euros in 2006 to around 950,000 million Euros in 2016.'",' Investments remained stagnant or declined between 2006 and 2016.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5975.png,"' Only two people, Warren Spahn and Kid Nichols, have won over 300 games.'",' More than two people have won over 300 games.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-79.png,"'The bar diagram is titled ""Favorite takeaway cuisine among consumers in the United Kingdom (UK) in 2017"".'","'The bar diagram is not titled ""Favorite takeaway cuisine among consumers in the United Kingdom (UK) in 2017"".'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7806.png,' The death rate generally increases as the year progresses.',' The death rate consistently rises the further into the year.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6742.png,' The key segment for Canon is the Office segment.',' The key segment for Canon is the Consumer Electronics segment.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3035.png,"' Based on the image, it can be inferred that the expenditure levels differ significantly across the mentioned regions.'","' Based on the image, it can be inferred that the expenditure levels are equal or similar among the mentioned regions.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2107.png,' The line plot depicts the infant mortality rate in the Philippines.',' The line plot depicts the infant mortality rate in Australia.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4199.png,' The range of the y-axis is from 0.0 to 0.5.',' The range of the y-axis is from 0.0 to 1.0.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8609.png,"' The number of confirmed cases increased significantly from 0 in April 2021 to over 200,000 in July 2021.'",' The number of confirmed cases remained constant at 0 throughout April to July 2021.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3523.png,' The subject of the Consumer Price Index in the graph is electricity and other fuels.',' The subject of the Consumer Price Index in the graph is food and beverages.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2512.png,' The import value recovered and rose again in the subsequent years after the drawback in 2010.',' The import value did not recover and continue to decline after the drawback in 2010.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6106.png,' The highest year recorded on the x-axis of the line plot is 2018.',' The highest year recorded on the x-axis of the line plot is 2020.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1048.png,' The over 65 category in Singapore has experienced significant growth over time.',' The over 65 category in Singapore has remained stagnant or has shown a decline in population.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1478.png,' The average annual population growth rate of Malaysia from 2015 to 2025 is approximately 0.5 million per year.',' The average annual population growth rate of Malaysia from 2015 to 2025 is less than 0.5 million per year.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8531.png,' The x-axis represents the variable or category being measured or represented in the line plot.',' The x-axis represents the Year.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3925.png,' The enplaned revenue tons reached just over 15 million again in 2019.',' The enplaned revenue tons did not reach just over 15 million again by 2019.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2351.png,' The x-axis of the bar chart displays the countries related to the consumption of corn in million bushels in 2019/2020.',' The x-axis of the bar chart does not display any countries related to the consumption of corn in million bushels in 2019/2020.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4453.png,' The Nelson Atkins Museum of Art has one of the lowest endowments among museums.',' The Nelson Atkins Museum of Art has one of the highest endowments among museums.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4250.png,' The x-axis of the area graph represents the Year.',' The x-axis of the area graph represents the data being measured.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7205.png,' The y-axis in an area chart represents the amount of federal funds allocated for Other education.',' The y-axis in an area chart represents the number of years since the chart was created.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3011.png,' The quantity of units in the United States is approximately 1400 units higher than the next highest country.',' The quantity of units in the United States is exactly 1400 units higher than the next highest country.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-231.png,' The bar graph shows the compound annual growth rate (CAGR) for each key product sector in the retail sector of Germany between 2013 and 2016.',' The bar graph shows the total revenue generated by each key product sector in the retail sector of Germany between 2013 and 2016.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2883.png,"' The x-axis is marked with a categorical scale representing various rum brands, starting with ""Appleton Jamaica"" and ending with ""Tanduay"".'","' The x-axis is labeled numerically, starting with ""Appleton Jamaica"" as 0 and ending with ""Tanduay"" as the highest number representing various rum brands.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3318.png,' The bar plot shows the user engagement of the most popular video creators on Instagram as of January 2018.',' The bar plot shows the number of likes and comments received by the most popular video creators on Instagram as of January 2018.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7331.png,' The power rating of the Siemens Gamesa SG 8.00-167 DD turbine is 8 megawatts.',' The power rating of the Siemens Gamesa SG 8.00-167 DD turbine is 7 megawatts.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3000.png,' The wages of musicians started increasing from 2016.',' The wages of musicians started increasing before 2016.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4288.png,' The Los Angeles Dodgers average ticket price area chart represents the average ticket prices in U.S. dollars for the years 2006 to 2019.',' The Los Angeles Dodgers average ticket price area chart represents the average ticket prices in Euros for the years 2006 to 2019.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5407.png,"' The trend of the youth population in Italy from 2009 to 2020 can only be determined by considering data from those years, not just the years 2010 to 2018.'","' The trend of the youth population in Italy from 2009 to 2020 can be accurately determined based on the provided image, which only mentions the years 2010 to 2018.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5257.png,' The debt continued to rise until 2016.',' The debt continued to rise until 2014.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3997.png,' The x-axis represents the rate of theft recoveries in the bar plot.',' The x-axis represents the scale of theft recoveries with a minimum of 0.0 and a maximum of 0.7 in the bar plot.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-621.png,' The x-axis represents the chronological progression of years from 1999 to 2020 in the diagram.',' The x-axis represents the total population of a country in the diagram.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6477.png,' The income generated by the baby care category is the lowest.',' The income generated by the baby care category is the highest.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6853.png,' The working hours are pretty consistent between the ages of 25 and 64.',' The working hours are consistent across all mentioned age groups.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6120.png,' Pharmacy services increased by approximately 200% between 2010 and 2019.',' Pharmacy services remained the same between 2010 and 2019.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8247.png,' The most preferred social media platform is Facebook.',' The most preferred social media platform is Instagram.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5628.png,"' The range of the y-axis is from 0 to 2,000.'","' The range of the y-axis is from 2,000 to 4,000.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4908.png,' The current state of Allianz employees is gradually recovering from the decline in 2008.',' The current state of Allianz employees is still experiencing a decline since 2008.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-760.png,"' There are multiple categories represented on the y-axis of the bar plot, each corresponding to a different professional male tennis player.'","' There is only one category represented on the y-axis of the bar plot, corresponding to a single professional male tennis player.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1902.03051v1-Figure11-1.png,"'The results shown the Figure indicate that the proposed evaluator design is superior to the baselines, as it satisfies both requirements of a good evaluator score.'","'The results shown the Figure suggest that the proposed evaluator design is inferior to the baselines, as it does not meet the requirements of a good evaluator score.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1812.02766v1-Figure8-1.png,'The graph shows that the use of a reward signal can improve sample efficiency in the adaptive sampling strategy.','The graph shows that the use of a reward signal always guarantees the best sample efficiency in the adaptive sampling strategy.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1109.5712v1-Figure13-1.png,"' The graph compares the call success rates of different routing strategies at various distances, showing that post-task-completion strategies are better at connecting calls at longer distances compared to benchmark strategies, especially under high network loads.'","' The graph shows that post-task-completion strategies are always less effective in achieving successful call connections compared to benchmark strategies, regardless of the distance or network load.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1905.03439v1-Figure3-1.png,'The graph shows that guarded versions of LWL and Random significantly outperform their unguarded counterparts.','The graph does not show any significant difference in performance between guarded versions of LWL and Random compared to their unguarded counterparts.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1810.08652v1-Figure3-1.png,' The graph of the rotor angle swing curves in a transient unstable case indicates that the system is not able to maintain stability and the rotor angles of the generators are diverging.',' The graph of the rotor angle swing curves in a transient unstable case shows that the system is able to maintain stability and the rotor angles of the generators are converging to a single point.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1801.05064v1-Figure6-1.png,'The response time of GET operations decreases as the GET:PUT proportion increases.','The response time of GET operations decreases as the GET:PUT proportion decreases.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2007.15057v1-Figure3-1.png,'The overall trend of the data in the graph is that the relative error decreases as the quadrature order increases.','The overall trend of the data in the graph is that the relative error increases as the quadrature order increases.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1711.10563v2-Figure5-1.png,"'The x-axis of the graph represents the number of classes stored before sleep, and the y-axis represents the performance of FearNet measured by the Quse score.'","'The x-axis of the graph represents the performance of FearNet measured by the Quse score, and the y-axis represents the number of classes stored before sleep.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1906.01450v1-Figure2-1.png,'The results shown in the graph support the claim that PDP is more efficient than DP for finding SIRs in time series.','The results shown in the graph indicate that DP is more efficient than PDP for finding SIRs in time series.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1012.2596v1-Figure2-1.png,'The fading figure / diversity order mℓ is an important statistical characteristic of fading channels.','The fading figure / diversity order mℓ is not related to diversity techniques in the transmission of signals.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1904.06626v3-Figure4-1.png,"'The purpose of this graph is to illustrate the relationship between transaction fees and blockchain availability, showing that higher fee transactions are included in blocks earlier than lower fee transactions.'","'The purpose of this graph is to illustrate the relationship between transaction fees and blockchain availability, showing that lower fee transactions are included in blocks earlier than higher fee transactions.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1402.7198v1-Figure2-1.png,'The graph compares the performance of four different algorithms in terms of packet reception ratio for critical packets.',"'The graph shows that TDTHR, LOCALMOR, and DARA linearly increase their performance as a function of critical packet rate.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1909.02060v1-Figure6-1.png,"'The x-axis of the graph represents the value of the hyperparameter α, which is used to control the amount of regularization in the topic CVaR model.'",'The x-axis of the graph represents the number of data points in the topic CVaR model.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1907.09312v1-Figure8-1.png,'The oracle transformations improve the accuracy of CoNLL-2005 models by applying operations that correct errors in predicted arguments.','The oracle transformations have no impact on the performance of CoNLL-2005 models and do not help in correcting errors in predicted arguments.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1912.02184v1-Figure3-1.png,"'The results shown in the graph suggest that the S3TA-2, S3TA-4, S3TA-8, and S3TA-16 models are more robust to adversarial attacks compared to the ResNet-152 baseline due to their attention mechanism, which enables them to focus on crucial parts of the input image and resist adversarial perturbations.'","'The results indicate that the ResNet-152 baseline outperforms the S3TA-2, S3TA-4, S3TA-8, and S3TA-16 models in terms of robustness to adversarial attacks.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1105.2243v1-Figure7-1.png,'The graph suggests that the algorithm converges to the Nash equilibrium.','The graph suggests that the algorithm does not converge to the Nash equilibrium.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1606.06794v2-Figure4-1.png,"'The graph shows that the objective function log(V(a)) is concave for α ∈ [0, 1].'","'The graph shows that the objective function log(V(a)) is convex for α ∈ [0, 1].'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1902.06082v2-Figure17-1.png,'The main takeaway from the graph is that the use of sparsity can lead to substantially lower computation times.','The main takeaway from the graph is that the use of sparsity has no impact on computation times.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1611.09795v1-Figure11-1.png,"'The Bode plot is a graphical representation of the frequency response of a system, allowing visualization of the magnitude and phase of the system's response at different frequencies.'",'The Bode plot is used to compare the performance of the FO lead-lag compensator at different orders.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1109.5490v2-Figure2-1.png,'The graph represents the continuous energy harvesting curve for a solar panel as time goes by.','The graph represents the energy consumption pattern of a household.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2007.13452v2-Figure3-1.png,' The proposed NMLD-GDM outperforms the AMLD-DM and PLD-DM in terms of SER performance.',"' The proposed NMLD is quadratic in M, while those of the AMLD and PLD are linear in M.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2004.12117v1-Figure2-1.png,'This graph is to illustrate the change in the sum of values of the solutions found by DRL with and without aggregation method over time.','This graph is to represent the individual values of the solutions found by DRL.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1907.08651v2-Figure2-1.png,"'The graph shows a skewed distribution of model accuracies, with a majority of models achieving low accuracy.'","'The graph shows an equal distribution of model accuracies, with a balanced number of models achieving both high and low accuracy.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1806.01347v3-Figure3-1.png,'The purpose of the graph is to compare the performance of different off-policy evaluation methods in the SinglePath MDP based on their mean squared error (MSE) values.','The purpose of the graph is to compare the performance of different on-policy evaluation methods in the SinglePath MDP based on their loss values.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1312.3041v1-Figure10-1.png,"'The results shown in the graph suggest that increasing the number of Tx-Rx pairs can effectively increase the buffer overflow probability per user, enhancing the quality of service and minimizing data loss in wireless communication systems.'",'The results shown in the graph have no implications for the design of wireless communication systems and do not provide any insights into reducing buffer overflow probability or improving the quality of service for users.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1911.07944v1-Figure4-1.png,'The purpose of the graph is to show the performance of PLCC with different number of bins.','The purpose of the graph is to show the popularity of video presentation quality and rebuffering duration.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1906.09391v3-Figure9-1.png,'The graph shows the relationship between the total production time and the number of units to be manufactured.','The graph show the relationship between the norm and the number of training sets.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1703.10658v1-Figure7-1.png,'The main takeaway from the graph is that the performance of DMPLMS is degraded in the presence of colored input due to the correlation of the input data and the eigenvalue spread of the input correlation matrix R.','The main takeaway from the graph is that the performance of DMPLMS is improved by the presence of colored input and is solely dependent on other factors.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1907.10953v1-Figure27-1.png,'The graph shows that Metagolho learns programs with higher predictive accuracies and lower learning times than Metagol.','The graph shows that Metagolho learns programs with lower predictive accuracies and higher learning times than Metagol.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2004.02047v1-Figure8-1.png,'The main takeaway from the graph is that the co-authorship network is highly predictive compared to the non-network baseline for predicting a node's publication keywords over time.','The main takeaway from the graph is that the co-authorship network is not predictive at all compared to the non-network baseline for predicting a node's publication keywords over time.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1909.13789v2-Figure6-1.png,'The graph shows that HGN outperforms HNN on all four datasets.','The graph shows that the average per-frame MSE of a single train and test rollout for the datasets is better for HNN compared to HGN.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1705.10470v3-Figure11-1.png,'The convergence results shown in the figure indicate that the omniscient teacher consistently improved the convergence of the learners in both logistic regression and support vector machine (SVM) models.','The surrogate teacher produced more significant convergence gain than the omniscient teacher in both logistic regression and SVM models.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1606.02820v2-Figure6-1.png,"'The graph demonstrates examples of both amelioration and pejoration, showcasing how the word ""lean"" has become more positive over time and how the word ""pathetic"" has become more negative over time.'",'The graph only focuses on the process of amelioration and does not discuss any instances of pejoration.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2007.13231v1-Figure12-1.png,"'The key takeaway from the graph is that quarantine measures can drastically flatten the curves, which can help in reducing the number of deaths.'","'Even small actions can play a prominent role in reducing the number of deaths, as the graph doesn't provide direct evidence or correlation for this statement.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1907.01631v1-Figure1-1.png,'SmallTree<VEBLayout>(0.5) has the best performance in in-order insertion.','SmallTree<BFSLayout>(0.5) has the best performance in both in-order insertion and in-order traversal.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2006.14489v1-Figure1-1.png,"'The graph depicts the relationship between the minimum distance, dimension, and relative decoding radii of RMθ(γn,n).'","'The graph shows that as time increases, and the relative decoding radii increase.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2001.05358v1-Figure9-1.png,'The main takeaway from the graph is that the encryption and decryption times increase in all methods with the increase in key size and chunk size.','The main takeaway from the graph is that the encryption and decryption times decrease in all methods with the increase in key size and chunk size.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1406.5949v3-Figure12-1.png,'The average delay per packet increases as the number of users increases.','The average delay per packet is always lower for the relaying cases than for the non-relaying case.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2010.10054v1-Figure2-1.png,'The graph shows that the teacher and student networks learn in a complementary fashion.','The graph shows that the teacher and student networks learn independently without any interaction or support for each other.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1905.10854v7-Figure31-1.png,'The graph shows that the accuracy of AdaBoost trained on CIFAR-10 increases as the number of weak classifiers increases.','The graph shows that the accuracy of AdaBoost trained on CIFAR-10 decreases as the number of weak classifiers increases.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2011.09663v1-Figure14-1.png,"'The graph is used to visualize the dynamics of exerted fashion influence at multiple time steps. It shows how the influence score of cities, brands, and styles change over time.'","'The graph is used to visualize the geographic distribution of fashion influence, showcasing which cities have the highest influence score.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1507.00391v1-Figure6-1.png,'The graph shows that the mean completion times first decrease and then increase as f increases',"'The graph shows that the mean completion times increase as f increases, and the variances decrease for different values of f.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1401.5024v1-Figure20-1.png,"'The graph is used to compare the performance of the original, best convex partitioning, and tiled implementations of the Odd-Even sort algorithm.'",'The graph displays data on the performance of different ranking algorithms for a range of times.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1712.10195v4-Figure13-1.png,'Increasing the out-degree of nodes in a network always leads to a decrease in the diameter of the network.','Keeping the out-degree of nodes constant over time will always lead to a decrease in the diameter of the network.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1108.0404v2-Figure11-1.png,'The main purpose of the graph is to compare the performance of different factor-graph methods when increasing the number of actions and types.','The main purpose of the graph is to measure the efficiency of a single factor-graph method in handling various factors and constraints.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1309.0073v1-Figure6-1.png,"'The graph is used to illustrate the uniqueness and diversity of behavior biometric in the static scenario, showcasing the variations in interacting features among different user numbers.'",'The graph does not provide any useful information about the behavior biometric or the uniqueness of user features.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1808.03908v1-Figure9-1.png,'Increasing λ leads to gradual improvements in the performance of AMF when λ is smaller than 1.',"'When λ is larger than 1, increasing it further does not improve the performance of AMF at all.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1905.03421v3-Figure2-1.png,"'The x-axis of the graph represents the radius threshold T, a parameter that controls the size of the certified region.'",'The x-axis of the graph represents the number of images in the dataset.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2006.14571v1-Figure1-1.png,"'The purpose of the graph is to compare the performance of different algorithms on two regression datasets, cal housing and year.'","'The purpose of the graph is to analyze the impact of different algorithms on the regression datasets, coco and visualnews.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1812.11287v1-Figure3-1.png,'The results shown in the graph demonstrate that the proposed algorithm achieves higher throughput than the other algorithms.','The results shown in the graph prove that the random is the only one capable of achieving highest performance throughput and adapting to different conditions.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1807.05037v1-Figure4-1.png,'The graph indicates that the hierarchical model performs better than the non-hierarchical model.','The graph implies that the hierarchical model is always higher than West TF-IDF Baseline.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1305.1887v1-Figure4-1.png,'The results shown in the graph suggest that both blocking and blurring metrics are significant in assessing video transmission quality over a network.',"'The results depicted in the graph indicate that only the blocking metric is relevant for measuring video transmission quality over a network. The blurring metric does not show any sensitivity to changes in channel conditions or modulation scheme, nor does it exhibit any significant impact from variations in HARQ retransmission rates.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1811.03438v3-Figure3-1.png,"'The graph shows that under Situation 1, both Algorithm 1 and Algorithm 2 are asymptotically unbiased.'","'Under Situation 2, both Algorithm 1 and Algorithm 2 are asymptotically unbiased.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2002.00413v1-Figure6-1.png,"'The purpose of the graph is to compare the performance of FastGM and NodeSketch by Micro-F1, Macro-F1, Precision@100 and Recall@100.'",'The purpose of the graph is to compare the performance of ResNet and LSTM by MSE'
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+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/Scatter-sc3.jpg,This image is the scatter chart.,This image is the pie chart.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/Scatter-sc4.jpg,This image is the scatter chart.,This image is the pie chart.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/Scatter-sc5.jpg,This image is the scatter chart.,This image is the surface chart.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/Scatter-sc6.jpg,This image is the scatter chart.,This image is the line chart.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/Scatter-sc7.jpg,This image is the scatter chart.,This image is the surface chart.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/Scatter-sc8.jpg,This image is the scatter chart.,This image is the heatmap chart.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/Scatter-sc9.jpg,This image is the scatter chart.,This image is the bar chart.
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+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/surface-sf3.jpg,This image is the surface chart.,This image is the heatmap chart.
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+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/surface-sf7.jpg,This image is the surface chart.,This image is the scatter chart.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/surface-sf8.jpg,This image is the surface chart.,This image is the bar chart.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/surface-sf9.jpg,This image is the surface chart.,This image is the pie chart.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1805.03981v1-Figure6-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1805.03981v1-Figure6-1.png,This image is related to computer science.,This image is related to travel.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1507.05591v3-Figure4-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1507.05591v3-Figure4-1.png,This image is related to computer science.,This image is related to travel.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1605.08478v1-Figure2-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1605.08478v1-Figure2-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1508.06181v1-Figure20-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1508.06181v1-Figure20-1.png,This image is related to computer science.,This image is related to travel.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1909.09200v1-Figure23-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1909.09200v1-Figure23-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1902.03051v1-Figure11-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1902.03051v1-Figure11-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1812.02766v1-Figure8-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1812.02766v1-Figure8-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2006.14602v1-Figure10-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2006.14602v1-Figure10-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1109.5712v1-Figure13-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1109.5712v1-Figure13-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1907.10953v1-Figure27-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1907.10953v1-Figure27-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2004.02047v1-Figure8-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2004.02047v1-Figure8-1.png,This image is related to computer science.,This image is related to travel.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1905.03439v1-Figure3-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1905.03439v1-Figure3-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1906.01595v1-Figure8-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1906.01595v1-Figure8-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1810.08652v1-Figure3-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1810.08652v1-Figure3-1.png,This image is related to computer science.,This image is related to travel.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2010.06794v2-Figure5-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2010.06794v2-Figure5-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2009.12170v1-Figure5-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2009.12170v1-Figure5-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1801.05064v1-Figure6-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1801.05064v1-Figure6-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2007.15057v1-Figure3-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2007.15057v1-Figure3-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1809.07681v1-Figure5-1.png,This image is related to computer science.,This image is related to travel.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1809.07681v1-Figure5-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1909.13789v2-Figure6-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1909.13789v2-Figure6-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1705.10470v3-Figure11-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1705.10470v3-Figure11-1.png,This image is related to computer science.,This image is related to travel.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1711.10563v2-Figure5-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1711.10563v2-Figure5-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1906.01450v1-Figure2-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1906.01450v1-Figure2-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1903.08248v1-Figure11-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1903.08248v1-Figure11-1.png,This image is related to computer science.,This image is related to travel.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1606.02820v2-Figure6-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1606.02820v2-Figure6-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1012.2596v1-Figure2-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1012.2596v1-Figure2-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1812.03952v9-Figure80-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1812.03952v9-Figure80-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1912.06270v1-Figure19-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1912.06270v1-Figure19-1.png,This image is related to computer science.,This image is related to travel.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1904.06626v3-Figure4-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1904.06626v3-Figure4-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1012.4763v2-Figure3-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1012.4763v2-Figure3-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1402.7198v1-Figure2-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1402.7198v1-Figure2-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2007.13231v1-Figure12-1.png,This image is related to computer science.,This image is related to travel.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2007.13231v1-Figure12-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1502.05450v1-Figure4-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1502.05450v1-Figure4-1.png,This image is related to computer science.,This image is related to travel.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1609.08925v2-Figure4.1221-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1609.08925v2-Figure4.1221-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1910.00527v2-Figure8-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1910.00527v2-Figure8-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1907.01631v1-Figure1-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1907.01631v1-Figure1-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1612.03450v2-Figure5-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1612.03450v2-Figure5-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1912.09510v1-Figure6-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1912.09510v1-Figure6-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1201.1547v1-Figure10-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1201.1547v1-Figure10-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1906.01787v1-Figure3-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1906.01787v1-Figure3-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1401.6968v1-Figure1-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1401.6968v1-Figure1-1.png,This image is related to computer science.,This image is related to travel.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1505.06416v1-Figure1-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1505.06416v1-Figure1-1.png,This image is related to computer science.,This image is related to travel.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2002.00413v1-Figure6-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2002.00413v1-Figure6-1.png,This image is related to computer science.,This image is related to travel.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1911.07944v1-Figure4-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1911.07944v1-Figure4-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1705.08617v4-Figure5.8-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1705.08617v4-Figure5.8-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1912.09301v1-Figure2-1.png,This image is related to computer science.,This image is related to travel.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1912.09301v1-Figure2-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1812.11287v1-Figure3-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1812.11287v1-Figure3-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1807.05037v1-Figure4-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1807.05037v1-Figure4-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2006.14571v1-Figure1-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2006.14571v1-Figure1-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1905.03421v3-Figure2-1.png,This image is related to computer science.,This image is related to travel.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1905.03421v3-Figure2-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2006.09310v1-Figure8-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2006.09310v1-Figure8-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1904.01049v2-Figure3-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1904.01049v2-Figure3-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1807.03369v1-Figure6-1.png,This image is related to computer science.,This image is related to travel.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1807.03369v1-Figure6-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1906.00220v2-Figure5-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1906.00220v2-Figure5-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1708.06456v3-Figure3-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1708.06456v3-Figure3-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2006.00416v1-Figure6-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2006.00416v1-Figure6-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1611.09795v1-Figure11-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1611.09795v1-Figure11-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1101.4373v3-Figure2-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1101.4373v3-Figure2-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1109.5490v2-Figure2-1.png,This image is related to computer science.,This image is related to travel.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1109.5490v2-Figure2-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1808.03908v1-Figure9-1.png,This image is related to computer science.,This image is related to travel.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1808.03908v1-Figure9-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1409.4393v1-Figure1-1.png,This image is related to computer science.,This image is related to travel.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1409.4393v1-Figure1-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1105.2243v1-Figure7-1.png,This image is related to computer science.,This image is related to travel.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1105.2243v1-Figure7-1.png,This image is related to computer science.,This image is related to travel.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2009.03033v2-Figure9-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2009.03033v2-Figure9-1.png,This image is related to computer science.,This image is related to travel.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2009.04912v2-Figure3-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2009.04912v2-Figure3-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1703.10658v1-Figure7-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1703.10658v1-Figure7-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1905.10854v7-Figure31-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1905.10854v7-Figure31-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2011.07752v1-Figure4-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2011.07752v1-Figure4-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1407.0699v1-Figure17-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1407.0699v1-Figure17-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1606.06794v2-Figure4-1.png,This image is related to computer science.,This image is related to travel.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1606.06794v2-Figure4-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1911.00725v1-Figure7-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1911.00725v1-Figure7-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1711.11577v1-Figure9-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1711.11577v1-Figure9-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2011.09663v1-Figure14-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2011.09663v1-Figure14-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1305.1887v1-Figure4-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1305.1887v1-Figure4-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2007.13452v2-Figure3-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2007.13452v2-Figure3-1.png,This image is related to computer science.,This image is related to travel.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1507.00391v1-Figure6-1.png,This image is related to computer science.,This image is related to travel.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1507.00391v1-Figure6-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1902.06082v2-Figure17-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1902.06082v2-Figure17-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1101.3212v2-Figure23-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1101.3212v2-Figure23-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2004.12117v1-Figure2-1.png,This image is related to computer science.,This image is related to travel.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2004.12117v1-Figure2-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2006.14489v1-Figure1-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2006.14489v1-Figure1-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1406.4441v2-Figure1-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1406.4441v2-Figure1-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1908.11272v1-Figure32-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1908.11272v1-Figure32-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1209.2684v1-Figure10-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1209.2684v1-Figure10-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2001.05358v1-Figure9-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2001.05358v1-Figure9-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2005.08011v1-Figure3-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2005.08011v1-Figure3-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1406.5949v3-Figure12-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1406.5949v3-Figure12-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1802.10011v1-Figure4-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1802.10011v1-Figure4-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1604.01131v1-Figure3-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1604.01131v1-Figure3-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1401.5024v1-Figure20-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1401.5024v1-Figure20-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1711.05792v2-Figure8-1.png,This image is related to computer science.,This image is related to travel.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1711.05792v2-Figure8-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1202.5349v2-Figure6-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1202.5349v2-Figure6-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1906.09391v3-Figure9-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1906.09391v3-Figure9-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1309.1049v3-Figure8-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1309.1049v3-Figure8-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1907.08651v2-Figure2-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1907.08651v2-Figure2-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1911.02109v3-Figure4.2-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1911.02109v3-Figure4.2-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2007.15036v1-Figure22-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2007.15036v1-Figure22-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1806.01347v3-Figure3-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1806.01347v3-Figure3-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1401.8257v3-Figure5-1.png,This image is related to computer science.,This image is related to travel.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1401.8257v3-Figure5-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1510.05311v2-Figure6-1.png,This image is related to computer science.,This image is related to travel.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1510.05311v2-Figure6-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1811.03438v3-Figure3-1.png,This image is related to computer science.,This image is related to travel.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1811.03438v3-Figure3-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1805.03437v3-Figure4-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1805.03437v3-Figure4-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1909.02060v1-Figure6-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1909.02060v1-Figure6-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1602.06653v1-Figure9-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1602.06653v1-Figure9-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1907.09312v1-Figure8-1.png,This image is related to computer science.,This image is related to travel.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1907.09312v1-Figure8-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1109.3151v1-Figure1-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1109.3151v1-Figure1-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1507.03729v1-Figure6-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1507.03729v1-Figure6-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1809.01329v1-Figure2-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1809.01329v1-Figure2-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1312.3041v1-Figure10-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1312.3041v1-Figure10-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1401.1258v1-Figure10-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1401.1258v1-Figure10-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1712.10195v4-Figure13-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1712.10195v4-Figure13-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1407.3543v1-Figure9-1.png,This image is related to computer science.,This image is related to travel.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1407.3543v1-Figure9-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2010.10054v1-Figure2-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2010.10054v1-Figure2-1.png,This image is related to computer science.,This image is related to finance.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1309.0073v1-Figure6-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1309.0073v1-Figure6-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1802.03012v1-Figure5-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1802.03012v1-Figure5-1.png,This image is related to computer science.,This image is related to travel.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1108.0404v2-Figure11-1.png,This image is related to computer science.,This image is related to travel.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1108.0404v2-Figure11-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2001.04438v1-Figure6-1.png,This image is related to computer science.,This image is related to travel.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2001.04438v1-Figure6-1.png,This image is related to computer science.,This image is related to agriculture.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1912.02184v1-Figure3-1.png,This image is related to computer science.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1912.02184v1-Figure3-1.png,This image is related to computer science.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/travel-tl1.jpg,This image is related to travel.,This image is related to advertisement.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/travel-tl2.jpg,This image is related to travel.,This image is related to stock_market.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/travel-tl3.jpg,This image is related to travel.,This image is related to advertisement.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/travel-tl4.jpg,This image is related to travel.,This image is related to stock_market.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/travel-tl5.jpg,This image is related to travel.,This image is related to stock_market.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/travel-tl7.jpg,This image is related to travel.,This image is related to stock_market.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/travel-tl8.jpg,This image is related to travel.,This image is related to stock_market.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/stock_market-st1.jpg,This image is related to stock_market.,This image is related to computer science.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/stock_market-st10.jpg,This image is related to stock_market.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/stock_market-st2.jpg,This image is related to stock_market.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/stock_market-st3.jpg,This image is related to stock_market.,This image is related to sports.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/stock_market-st4.jpg,This image is related to stock_market.,This image is related to computer science.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/stock_market-st5.jpg,This image is related to stock_market.,This image is related to transportation.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/stock_market-st6.jpg,This image is related to stock_market.,This image is related to computer science.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/stock_market-st7.jpg,This image is related to stock_market.,This image is related to computer science.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/stock_market-st8.jpg,This image is related to stock_market.,This image is related to computer science.
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+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/sports-sp1.jpg,This image is related to sports.,This image is related to transportation.
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+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/sports-sp3.jpg,This image is related to sports.,This image is related to transportation.
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+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8550.png,"'Leading ten Italian wineries in Italy from 2014 to 2018 , by turnover (in million euros) <s> 2015 Leading ten Italian wineries 559 C.Riunite/CIV/GIV 358 GIV 300 Caviro 201 Cantineriunite/CIV 209 Antinori 183 Zonin 160 Martini 175 Mezzacorona 167 Cavit 154 Botter'. It's a correct data table transferred from the image.",'Characteristics of a dream woman in China from a male perspective in 2012 <s> Share of respondents Response 0.55 Well-read and educated 0.49 Monogamous 0.47 Good manners and a good cook/housewife 0.46 Elegance 0.38 Sense of responsibility 0.2 Good looks 0.11 Sexy body 0.09 Well off financially 0.07 Willing to give birth 0.05 Social status'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8564.png,"'Brunei Darussalam : Age structure from 2009 to 2019 <s> Year 65 years and older Dec 31, 2008 0.0335 Dec 31, 2009 0.0339 Dec 31, 2010 0.0348 Dec 31, 2011 0.0359 Dec 31, 2012 0.0372 Dec 31, 2013 0.0388 Dec 31, 2014 0.0407 Dec 31, 2015 0.043 Dec 31, 2016 0.0457 Dec 31, 2017 0.0487 Dec 31, 2018 0.0521'. It's a correct data table transferred from the image.",'This is a line chart labeled Brunei Darussalam : Age structure from 2009 to 2019. The y-axis plots 65 years and older while the x-axis shows Year.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4809.png,"'Rate of unemployment in Canada in 2019 , by industry <s> industry Unemployment rate Forestry, fishing, mining, quarrying, oil and gas 0.073 Construction 0.067 Business, building and other support services 0.061 Accommodation and food services 0.055 Information, culture and recreation 0.054 Agriculture 0.044 Wholesale and retail trade 0.037 Educational services 0.037 Manufacturing 0.036 Transportation and warehousing 0.032 Other services (except public administration) 0.028 Professional, scientific and technical services 0.027 Public administration 0.02 Utilities 0.017 Finance, insurance, real estate, rental and leasing 0.016 Health care and social assistance 0.015'. It's a correct data table transferred from the image.","'Rate of unemployment in Canada in 2019 , by industry is a bar plot. industry is plotted with a categorical scale with Accommodation and food services on one end and Wholesale and retail trade at the other along the x-axis. The y-axis plots Unemployment rate with a linear scale of range 0.00 to 0.08.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1404.png,"'Ukraine : Youth unemployment rate from 1999 to 2020 <s> Year Youth unemployment rate Dec 31, 1998 0.2134 Dec 31, 1999 0.2111 Dec 31, 2000 0.2004 Dec 31, 2001 0.1844 Dec 31, 2002 0.166 Dec 31, 2003 0.1571 Dec 31, 2004 0.149 Dec 31, 2005 0.1408 Dec 31, 2006 0.1313 Dec 31, 2007 0.1313 Dec 31, 2008 0.1783 Dec 31, 2009 0.1738 Dec 31, 2010 0.1739 Dec 31, 2011 0.1742 Dec 31, 2012 0.174 Dec 31, 2013 0.2324 Dec 31, 2014 0.225 Dec 31, 2015 0.2312 Dec 31, 2016 0.19 Dec 31, 2017 0.18 Dec 31, 2018 0.1883 Dec 31, 2019 0.1923'. It's a correct data table transferred from the image.","'Here a is a line diagram titled Ukraine : Youth unemployment rate from 1999 to 2020. Youth unemployment rate is drawn along the y-axis. A linear scale with a minimum of 2000 and a maximum of 2015 can be seen on the x-axis, labeled Year.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4055.png,'How influential are the following shopping experiences in leading you to switch brands or companies ? <s> Share of respondents Response 0.23 Difficult return/refund policies 0.22 Irresponsive to requests/complaints 0.22 Bad services at the store/outlet 0.21 Non-competitive pricing 0.21 Incorrect billing 0.19 Products/services not meeting my needs 0.19 Mistake on purchase 0.18 Bad online services 0.13 Difficult to locate products/services 0.09 Non-personalised communications 0.08 Bad mobile app'. It's a correct data table transferred from the image.,'How influential are the following shopping experiences in leading you to switch brands or companies ? is a bar chart. The x-axis shows Share of respondents on linear scale of range 0.00 to 0.20 while the y-axis plots Response as categorical scale starting at Bad mobile app and ending at Products/services not meeting my needs.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1226.png,'Georgia : Total population from 2015 to 2025 (in million inhabitants) <s> Inhabitants in millions Year 3.7 2025* 3.71 2024* 3.71 2023* 3.71 2022* 3.71 2021* 3.7 2020* 3.72 2019* 3.73 2018* 3.73 2017* 3.73 2016* 3.72 2015'. It's a correct data table transferred from the image.,'Average (mean) private weekly rent in England from 2008/2009 to 2018/2019 (in GBP) <s> Excluding London Year 162 2018/19 158 2017/18 158 2016/17 153 2015/16 147 2014/15 145 2013/14 140 2012/13 139 2011/12 137 2010/11 130 2009/10 130 2008/09'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6874.png,"'Breakdown of U.S. online advertising revenue from 2010 to 2016 , by industry <s> 2015 industry 0.21 Retail 0.13 Financial services 0.12 Auto 0.09 Telecom 0.09 Leisure travel 0.08 Consumer Electronics & Computers 0.06 Consumer packaged goods 0.05 Pharma & healthcare 0.05 Media 0.04 Entertainment'. It's a correct data table transferred from the image.","'Here a is a bar diagram titled Breakdown of U.S. online advertising revenue from 2010 to 2016 , by industry. The x-axis measures 2015 as linear scale with a minimum of 0.0 and a maximum of 0.2 while the y-axis measures industry on categorical scale with Auto on one end and  at the other.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4844.png,'Total number of magnetic resonance imaging (MRI) units in the United Kingdom (UK) from 2000 to 2014 <s> Year Number of scanners 2014* 467 2013* 462 2012* 456 2011* 441 2010 * 411 2008 * 340 2006* 342 2005 326 2004 300 2003 * 271 2002 * 296 2001 * 367 2000* 331'. It's a correct data table transferred from the image.,"'This bar plot is called Total number of magnetic resonance imaging (MRI) units in the United Kingdom (UK) from 2000 to 2014. On the x-axis, Year is drawn with a categorical scale from 2000* to . Number of scanners is drawn along the y-axis.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2821.png,"'Total regular season home attendance of the NFL New York Jets franchise from 2006 to 2019 <s> Year Home attendance Dec 31, 2005 618568 Dec 31, 2006 616848 Dec 31, 2007 627856 Dec 31, 2008 616416 Dec 31, 2009 628768 Dec 31, 2010 631888 Dec 31, 2011 632704 Dec 31, 2012 615656 Dec 31, 2013 625280 Dec 31, 2014 625280 Dec 31, 2015 625280 Dec 31, 2016 620496 Dec 31, 2017 623856 Dec 31, 2018 628184'. It's a correct data table transferred from the image.","'The average home attendance for the New York Jets remains constantly above 600,000 per year and shows no sign of abating.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-824.png,"'Total revenue of PT Telkom Indonesia Tbk from 2009 to 2019 (in trillion Indonesian rupiah) <s> Year Total revenue in trillion Indonesian rupiah Dec 31, 2008 68.22 Dec 31, 2009 68.63 Dec 31, 2010 71.25 Dec 31, 2011 77.14 Dec 31, 2012 82.97 Dec 31, 2013 89.7 Dec 31, 2014 102.47 Dec 31, 2015 116.33 Dec 31, 2016 128.26 Dec 31, 2017 130.78 Dec 31, 2018 135.57'. It's a correct data table transferred from the image.","'The area chart represents an increase of the total revenue of PT Telkom Indonesia Tbk from 2009 and 2019, where the difference in the year 2019 the revenue was recored to be ~135 trillion Indonesian Ruplah, compared to year 2009, where the revenue reached only ~68 trillion Indonesian Ruplah.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3660.png,"'Spending on chilled quiches and flans in the United Kingdom from December 2007 to December 2019 (in million GBP) <s> day Spend in million GBP Dec 04, 2007 145.15 Nov 29, 2008 146.88 Dec 26, 2009 145 Dec 25, 2010 147.76 Dec 24, 2011 145.67 Jan 07, 2012 145.82 Feb 02, 2013 150.76 Feb 01, 2014 166.03 Jan 31, 2015 170.21 Jan 02, 2016 171.85 Dec 31, 2016 172.81 Dec 30, 2017 185.67 Dec 29, 2018 190.74 Dec 28, 2019 188.09'. It's a correct data table transferred from the image.","'Between December 2007 and December 2013, the GBP spent on chilled quiches & flans is a steady similar amount. Whereas from December 2013 through to 2019, the spending amount increased at a noticeable rate.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5194.png,"'Number of individuals with asthma in Great Britain in 2015 , by region <s> region in UK Number of individuals North West 778290 South East 687892 London 588172 East of England 564416 Scotland 554306 Yorkshire and the Humber 535547 South West 530775 West Midlands 440651 East Midlands 385520 Wales 314984 North East 261352'. It's a correct data table transferred from the image.","'Here a bar chart is called Number of individuals with asthma in Great Britain in 2015 , by region. The y-axis measures Number of individuals on linear scale with a minimum of 0 and a maximum of 800,000 while the x-axis measures region in UK using categorical scale starting with East Midlands and ending with Yorkshire and the Humber.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4831.png,'Monthly youth (16 - 24) unemployment rate in the United States from November 2019 to November 2020 (seasonally adjusted) <s> Unemployment rate Month 0.115 Nov '20 0.117 Oct '20 0.135 Sep '20 0.147 Aug '20 0.186 Jul '20 0.207 Jun '20 0.252 May '20 0.274 Apr '20 0.103 Mar '20 0.077 Feb '20 0.082 Jan '20 0.081 Dec '19 0.08 Nov '19'. It's a correct data table transferred from the image.,'The lowest unemployment rate generally seems to be in the winter months. The highest unemployment rate seems to occur in spring/early summer. The unemployment rate never went above 0.30 and never fell below 0.05.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8000.png,"'Value of U.S. imports and exports of goods from 2000 to 2011 (in trillion U.S. dollars) <s> Year Exports Dec 31, 1999 0.78 Dec 31, 2000 0.73 Dec 31, 2001 0.7 Dec 31, 2002 0.73 Dec 31, 2003 0.82 Dec 31, 2004 0.91 Dec 31, 2005 1.04 Dec 31, 2006 1.16 Dec 31, 2007 1.31 Dec 31, 2008 1.07 Dec 31, 2009 1.29 Dec 31, 2010 1.5'. It's a correct data table transferred from the image.",'The value of goods had risen steadily with only a slight dip in 2008 followed by a sharpRise again.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5209.png,'Switzerland : Number of employed persons from 2010 to 2020 (in millions) <s> Year Employed persons in millions 2020* 5.02 2019* 4.97 2018 5.06 2017 5.01 2016 4.96 2015 4.9 2014 4.82 2013 4.73 2012 4.67 2011 4.66 2010 4.56'. It's a correct data table transferred from the image.,'Here a bar chart is titled Switzerland : Number of employed persons from 2010 to 2020 (in millions). The x-axis measures Year using categorical scale from 2010 to 2020* while the y-axis plots Employed persons in millions with linear scale from 0 to 5.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5913.png,"'Percentage of people who use a computer every day in the United Kingdom (UK) from 2003 to 2017 <s> Response Percentage of respondents Dec 31, 2002 0.43 Dec 31, 2003 0.43 Dec 31, 2005 0.5 Dec 31, 2006 0.58 Dec 31, 2007 0.61 Dec 31, 2008 0.67 Dec 31, 2009 0.7 Dec 31, 2010 0.72 Dec 31, 2011 0.74 Dec 31, 2012 0.75 Dec 31, 2013 0.78 Dec 31, 2014 0.75 Dec 31, 2016 0.78'. It's a correct data table transferred from the image.",'There has generally been a steady increase in percentage of people using a computer daily each year. The percentage dropped slightly in 2015 before rising again.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7251.png,"'Total population of Chile from 2008 to 2018 , by gender (in million inhabitants) <s> Year Female Dec 31, 2007 8.49 Dec 31, 2008 8.58 Dec 31, 2009 8.67 Dec 31, 2010 8.75 Dec 31, 2011 8.84 Dec 31, 2012 8.92 Dec 31, 2013 9.02 Dec 31, 2014 9.12 Dec 31, 2015 9.24 Dec 31, 2016 9.37 Dec 31, 2017 9.5'. It's a correct data table transferred from the image.",'The female population has continued to grow in Chile.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6354.png,"'Luxembourg : Distribution of gross domestic product (GDP) across economic sectors from 2009 to 2019 <s> Year Industry Dec 31, 2008 0.1152 Dec 31, 2009 0.1143 Dec 31, 2010 0.1119 Dec 31, 2011 0.1067 Dec 31, 2012 0.109 Dec 31, 2013 0.1052 Dec 31, 2014 0.1104 Dec 31, 2015 0.1167 Dec 31, 2016 0.1124 Dec 31, 2017 0.1177 Dec 31, 2018 0.1132'. It's a correct data table transferred from the image.","'There is not much that you can observe from this data alone. But as far as the chart reads, 2014 is the lowest and 2018 is the highest.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5748.png,"'Number of road traffic fatalities in Bulgaria from 2006 to 2019 <s> Year Number of fatalities Dec 31, 2005 1043 Dec 31, 2006 1006 Dec 31, 2007 1061 Dec 31, 2008 901 Dec 31, 2009 776 Dec 31, 2010 657 Dec 31, 2011 601 Dec 31, 2012 601 Dec 31, 2013 660 Dec 31, 2014 708 Dec 31, 2015 708 Dec 31, 2016 682 Dec 31, 2017 611 Dec 31, 2018 628'. It's a correct data table transferred from the image.","'Forecast volume of poultry meat consumed in the European Union (EU 27) from 2015 to 2028 (in 1,000 metric tons) <s> Year Volume in thousand metric tons 2028* 12182 2027* 12111 2026* 12041 2025* 11976 2024* 11921 2023* 11869 2022* 11817 2021* 11751 2020* 11690 2019* 11664 2018** 11861 2017 11606 2016 11667 2015 11102'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-76.png,'Non-English main home languages ranked by number of speakers in Welsh schools in 2020 <s> geographic region Number of speakers Polish 4961 Arabic 3484 Bengali 3019 Urdu 1508 Chinese 1466 Panjabi 1242 Romanian 1091 Somali 852 Portuguese 846 Tagalog/Filipino 830'. It's a correct data table transferred from the image.,"'Leading BBC Radio stations ranked by weekly reach in the United Kingdom (UK) as of 1st quarter 2020 (in 1,000 listeners) <s> Listeners reached in thousands* radio station 14362 BBC Radio 2 11105 BBC Radio 4 8915 BBC Radio 1 5219 BBC Radio 5 live 2556 BBC 6 Music 1983 BBC Radio 4 Extra 1980 BBC Radio 3 1346 BBC World Service 986 1Xtra from the BBC 601 BBC Radio 5 live sports extra'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7498.png,"'Digital share of overall music sales in selected countries from 2004 to 2014 <s> Year Germany Dec 31, 2003 0.01 Dec 31, 2004 0.027 Dec 31, 2005 0.046 Dec 31, 2006 0.058 Dec 31, 2007 0.08 Dec 31, 2008 0.101 Dec 31, 2009 0.126 Dec 31, 2010 0.153 Dec 31, 2011 0.191 Dec 31, 2012 0.206 Dec 31, 2013 0.22'. It's a correct data table transferred from the image.","'The sales of music in Germany have increased quite rapidly during the specified time. At no point have the sales of music in Germany fallen in the time from 2004 to 2014. In 2004, music sales in Germany were around 0.01. In 2014, music sales in Germany were 0.22.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3386.png,"'Washington Football Team operating income from 2001 to 2019 (in million U.S. dollars) <s> Year Operating income in million U.S. dollars Dec 31, 2000 79 Dec 31, 2001 87.8 Dec 31, 2002 69.6 Dec 31, 2003 53.8 Dec 31, 2004 108.4 Dec 31, 2005 66 Dec 31, 2006 58.1 Dec 31, 2007 90.3 Dec 31, 2008 103.7 Dec 31, 2009 65.6 Dec 31, 2010 109 Dec 31, 2011 104.3 Dec 31, 2012 143.4 Dec 31, 2013 124.9 Dec 31, 2014 115 Dec 31, 2015 145 Dec 31, 2016 122 Dec 31, 2017 120 Dec 31, 2018 135'. It's a correct data table transferred from the image.",'This area graph is called Washington Football Team operating income from 2001 to 2019 (in million U.S. dollars). Operating income in million U.S. dollars is plotted along a linear scale of range 0 to 150 along the y-axis. The x-axis measures Year on a linear scale from 2005 to 2015.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3621.png,"'Ranking of religious groups in the United States in 2010 , by county penetration rate <s> Response Percentage of counties present United Methodist Church 0.952 Catholic Church 0.942 Southern Baptist Convention 0.86 Non-denominational Christian Churches 0.848 Assemblies of God 0.815 Bahá'í 0.806 Churches of Christ 0.772 Presbyterian Church (U.S.A.) 0.75 Jehovah's Witnesses 0.707 Episcopal Church 0.652 Church of Jesus Christ of Latter-day Saints 0.596 Seventh-day Adventist Church 0.581 Lutheran Church--Missouri Synod 0.574 Church of the Nazarene 0.562 Evangelical Lutheran Church in America 0.553 United Pentecostal Church International 0.535 Church of God (Cleveland, Tennessee) 0.508 Christian Churches and Churches of Christ 0.503 Christian Church (Disciples of Christ) 0.407 United Church of Christ 0.372'. It's a correct data table transferred from the image.","'Here a bar diagram is labeled Ranking of religious groups in the United States in 2010 , by county penetration rate. There is a categorical scale from Assemblies of God to United Pentecostal Church International along the x-axis, marked Response. A linear scale from 0.0 to 1.0 can be seen along the y-axis, labeled Percentage of counties present.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4037.png,"'Distribution of iodine demand worldwide in 2016 , by application <s> Share of demand Response 0.22 XR contrast media 0.13 Pharmaceuticals 0.12 LCD polarizing film 0.08 Animal feed 0.07 Iodophors 0.07 Fluorochemicals 0.04 Biocides 0.04 Nylon 0.03 Human nutrition 0.03 PVPI 0.17 Other'. It's a correct data table transferred from the image.",'South Africa : National debt in relation to gross domestic product (GDP) from 2015 to 2025 <s> National debt in relation to GDP Year 0.8517 2025* 0.8692 2024* 0.8728 2023* 0.8568 2022* 0.8276 2021* 0.7882 2020* 0.6215 2019 0.5671 2018 0.5302 2017 0.5147 2016 0.4934 2015'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6718.png,"'Average power plant operating expenses for major investor-owned electric utilities in the U.S. from 1998 to 2019 (in mills per kilowatt hour) <s> Year Fossil steam Dec 31, 1997 20.45 Dec 31, 1998 20.12 Dec 31, 1999 22.32 Dec 31, 2004 27.88 Dec 31, 2009 35.76 Dec 31, 2010 35.09 Dec 31, 2011 37.2 Dec 31, 2012 37.92 Dec 31, 2013 39.04 Dec 31, 2014 37.26 Dec 31, 2015 36.08 Dec 31, 2016 35.41 Dec 31, 2017 35.86 Dec 31, 2018 36.66'. It's a correct data table transferred from the image.",'This is a area diagram named Average power plant operating expenses for major investor-owned electric utilities in the U.S. from 1998 to 2019 (in mills per kilowatt hour). Fossil steam is measured on the y-axis. The x-axis shows Year.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-105.png,"'Chad : Infant mortality rate from 2009 to 2019 (in deaths per 1,000 live births) <s> Year Deaths per 1,000 live births Dec 31, 2008 86.2 Dec 31, 2009 84.4 Dec 31, 2010 82.7 Dec 31, 2011 81 Dec 31, 2012 79.3 Dec 31, 2013 77.7 Dec 31, 2014 76.1 Dec 31, 2015 74.4 Dec 31, 2016 72.6 Dec 31, 2017 70.8 Dec 31, 2018 69.1'. It's a correct data table transferred from the image.","'This line diagram is labeled Chad : Infant mortality rate from 2009 to 2019 (in deaths per 1,000 live births). The x-axis plots Year as a linear scale from 2010 to 2018. Deaths per 1,000 live births is measured on a linear scale from 0 to 80 along the y-axis.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4881.png,"'Sweden : Unemployment rate from 1999 to 2020 <s> Year Unemployment rate Dec 31, 1998 0.0761 Dec 31, 1999 0.0547 Dec 31, 2000 0.0473 Dec 31, 2001 0.0497 Dec 31, 2002 0.0556 Dec 31, 2003 0.0669 Dec 31, 2004 0.0749 Dec 31, 2005 0.0707 Dec 31, 2006 0.0616 Dec 31, 2007 0.0624 Dec 31, 2008 0.0835 Dec 31, 2009 0.0861 Dec 31, 2010 0.078 Dec 31, 2011 0.0798 Dec 31, 2012 0.0805 Dec 31, 2013 0.0795 Dec 31, 2014 0.0743 Dec 31, 2015 0.0699 Dec 31, 2016 0.0672 Dec 31, 2017 0.0635 Dec 31, 2018 0.0648 Dec 31, 2019 0.0667'. It's a correct data table transferred from the image.","'Average daily time spent watching TV per individual in the United Kingdom from 2010 to 2019 , by gender (in minutes) <s> Year Women Dec 31, 2009 259 Dec 31, 2010 258 Dec 31, 2011 255 Dec 31, 2012 247 Dec 31, 2013 235 Dec 31, 2014 232 Dec 31, 2015 227 Dec 31, 2016 220 Dec 31, 2017 207 Dec 31, 2018 196'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5633.png,'Syria : National debt from 2000 to 2010 in relation to gross domestic product (GDP) <s> Year National debt in relation to GDP 2010* 0.3002 2009 0.3121 2008 0.3732 2007 0.4267 2006 0.4498 2005 0.5071 2004 1.1305 2003 1.3337 2002 1.3243 2001 1.4449 2000 1.5209'. It's a correct data table transferred from the image.,'The national debt in relation to GDP in Syria fell from around 1.51 in 2000 to 0.3 in 2010. The biggest change was between 2004 and 2005 when it fell from around 1.2 to 0.5.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6008.png,'Democratic Republic of the Congo : National debt from 2014 to 2024 (in billion U.S. dollars) <s> National debt in billion U.S. dollars Year 4.35 2024* 4.79 2023* 5.31 2022* 5.78 2021* 6.26 2020* 6.7 2019* 7.03 2018 6.37 2017 4.9 2016 3.58 2015 3.35 2014'. It's a correct data table transferred from the image.,"'This is a bar diagram called Democratic Republic of the Congo : National debt from 2014 to 2024 (in billion U.S. dollars). A linear scale with a minimum of 0 and a maximum of 8 can be found along the x-axis, marked National debt in billion U.S. dollars. On the y-axis, Year is drawn using a categorical scale with 2014 on one end and 2024* at the other.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6288.png,'Highest paid athletes by earnings from salary and endorsements worldwide in 2019/20 (in million U.S. dollars) <s> Highest paid athletes Salary/Winnings Roger Federer (tennis) 6.3 Cristiano Ronaldo (soccer) 60 Lionel Messi (soccer) 72 Neymar (soccer) 70.5 LeBron James (basketball) 28.2 Stephen Curry (basketball) 30.4 Kevin Durant (basketball) 28.9 Tiger Woods (golf) 2.3 Kirk Cousins (football) 58 Carson Wentz (football) 55.1 Tyson Fury (boxing) 50 Russell Westbrook (basketball) 29 Lewis Hamilton (auto racing) 42 Rory McIlroy (golf) 22 Jared Goff (football) 47'. It's a correct data table transferred from the image.,'Here a bar plot is called Highest paid athletes by earnings from salary and endorsements worldwide in 2019/20 (in million U.S. dollars). The x-axis measures Highest paid athletes while the y-axis plots Salary/Winnings.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6857.png,"'Number of alcohol-related deaths in Sweden from 2009 to 2019 , by gender <s> Year Men Dec 31, 2008 1651 Dec 31, 2009 1549 Dec 31, 2010 1489 Dec 31, 2011 1495 Dec 31, 2012 1391 Dec 31, 2013 1491 Dec 31, 2014 1532 Dec 31, 2015 1477 Dec 31, 2016 1464 Dec 31, 2017 1478 Dec 31, 2018 1487'. It's a correct data table transferred from the image.",'The death rate has decreased since before 2010 but apart from 2013 the amount of deaths of men in Sweden is quite consistent.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1511.png,"'Mexico 's IPC stock exchange index from January 2 to October 15 , 2020 (in Mexican pesos) <s> Year IPC in Mexican pesos Jan 01, 2020 44437.23 Jan 02, 2020 44624.85 Jan 05, 2020 44495.3 Jan 06, 2020 44157.81 Jan 07, 2020 44470.91 Jan 08, 2020 44572.17 Jan 09, 2020 44660.33 Jan 12, 2020 44847.47 Jan 13, 2020 44773.24 Jan 14, 2020 44453.33 Jan 15, 2020 45303.08 Jan 16, 2020 45817.76 Jan 19, 2020 45902.68 Jan 20, 2020 45637.32 Jan 21, 2020 45604.44 Jan 22, 2020 45476.43 Jan 23, 2020 45141.62 Jan 26, 2020 44134.39 Jan 27, 2020 44717.94 Jan 28, 2020 45132.6 Jan 29, 2020 44862.76 Jan 30, 2020 44108.31 Feb 03, 2020 45047.07 Feb 04, 2020 44782.86 Feb 05, 2020 44493.15 Feb 06, 2020 44399.33 Feb 09, 2020 44290.53 Feb 10, 2020 45027.41 Feb 11, 2020 45338.37 Feb 12, 2020 45005.12 Feb 13, 2020 44999.68 Feb 16, 2020 45016.96 Feb 17, 2020 44974.11 Feb 18, 2020 44901.5 Feb 19, 2020 44774.54 Feb 20, 2020 44802.54 Feb 23, 2020 43818.07 Feb 24, 2020 43045.68 Feb 25, 2020 42737.28 Feb 26, 2020 41607.42 Feb 27, 2020 41324.31 Mar 01, 2020 42167.24 Mar 02, 2020 42472.25 Mar 03, 2020 43404.76 Mar 04, 2020 42344.86 Mar 05, 2020 41388.78 Mar 08, 2020 38730.56 Mar 09, 2020 39565.44 Mar 10, 2020 38678.55 Mar 11, 2020 36636.7 Mar 12, 2020 38085.05 Mar 16, 2020 36862.84 Mar 17, 2020 35532.74 Mar 18, 2020 35143.63 Mar 19, 2020 34269.51 Mar 22, 2020 32964.22 Mar 23, 2020 34371.53 Mar 24, 2020 35536.7 Mar 25, 2020 35706.57 Mar 26, 2020 33799.49 Mar 29, 2020 34199.97 Mar 30, 2020 34554.53 Mar 31, 2020 33691.88 Apr 01, 2020 33590.62 Apr 02, 2020 33075.41 Apr 05, 2020 34381.56 Apr 06, 2020 34526.31 Apr 07, 2020 34567.78 Apr 12, 2020 34613.67 Apr 13, 2020 34746.39 Apr 14, 2020 33855.24 Apr 15, 2020 33759.75 Apr 16, 2020 34743.1 Apr 19, 2020 34477.06 Apr 20, 2020 33892.28 Apr 21, 2020 34223.85 Apr 22, 2020 34240.6 Apr 23, 2020 34586.82 Apr 26, 2020 34968.09 Apr 27, 2020 35830.81 Apr 28, 2020 36870.09 Apr 29, 2020 36470.11 May 03, 2020 36370.43 May 04, 2020 36616.06 May 05, 2020 36986.2 May 06, 2020 36792.41 May 07, 2020 37623.68 May 10, 2020 37631.89 May 11, 2020 37462.89 May 12, 2020 36394.59 May 13, 2020 36094.14 May 14, 2020 35691.39 May 17, 2020 37112.46 May 18, 2020 35862.04 May 19, 2020 36026.98 May 20, 2020 35560.76 May 21, 2020 35784.42 May 24, 2020 35832.77 May 25, 2020 36206.86 May 26, 2020 36889.96 May 27, 2020 36508.14 May 28, 2020 36122.73 May 31, 2020 36980.85 Jun 01, 2020 37460.44 Jun 02, 2020 38290.77 Jun 03, 2020 37872.89 Jun 04, 2020 38948.08 Jun 07, 2020 39954.01 Jun 08, 2020 39185.66 Jun 09, 2020 38266.19 Jun 10, 2020 36827.36 Jun 11, 2020 37679.24 Jun 14, 2020 37416.74 Jun 15, 2020 37894.05 Jun 16, 2020 37897.24 Jun 17, 2020 37632.89 Jun 18, 2020 38404.63 Jun 21, 2020 38123.56 Jun 22, 2020 38217.68 Jun 23, 2020 37908.38 Jun 24, 2020 37734.52 Jun 25, 2020 37431.95 Jun 28, 2020 37769.19 Jun 29, 2020 37716.43 Jun 30, 2020 37619.77 Jul 01, 2020 37894.08 Jul 02, 2020 37950 Jul 05, 2020 37884.76 Jul 06, 2020 37837.39 Jul 07, 2020 37483.88 Jul 08, 2020 36795.95 Jul 09, 2020 36465.46 Jul 12, 2020 36389.39 Jul 13, 2020 36190.91 Jul 14, 2020 36590.26 Jul 15, 2020 36465.67 Jul 16, 2020 36327.84 Jul 19, 2020 36323.69 Jul 20, 2020 36881.67 Jul 21, 2020 37447.1 Jul 22, 2020 37433.3 Jul 23, 2020 37357.46 Jul 26, 2020 37742.14 Jul 27, 2020 37771.21 Jul 28, 2020 37720.84 Jul 29, 2020 37136.78 Jul 30, 2020 37019.68 Aug 02, 2020 37546.72 Aug 03, 2020 37466.95 Aug 04, 2020 37901.96 Aug 05, 2020 37998.34 Aug 06, 2020 38005 Aug 09, 2020 38289.76 Aug 10, 2020 38703.59 Aug 11, 2020 38634.1 Aug 12, 2020 38615.62 Aug 13, 2020 38949.88 Aug 16, 2020 39285.85 Aug 17, 2020 39087.35 Aug 18, 2020 39021.92 Aug 19, 2020 38707.24 Aug 20, 2020 38095.88 Aug 23, 2020 38029.62 Aug 24, 2020 38249.9 Aug 25, 2020 37753.04 Aug 26, 2020 37647.19 Aug 27, 2020 37794.25 Aug 30, 2020 36840.73 Aug 31, 2020 37487.99 Sep 01, 2020 37053.77 Sep 02, 2020 36429.66 Sep 03, 2020 36448.5 Sep 06, 2020 36637.45 Sep 07, 2020 36071.43 Sep 08, 2020 36157.96 Sep 09, 2020 36180.74 Sep 10, 2020 36334.89 Sep 13, 2020 36881.99 Sep 14, 2020 36729.15 Sep 16, 2020 36130.92 Sep 17, 2020 36017.35 Sep 20, 2020 35517.77 Sep 21, 2020 35853.58 Sep 22, 2020 35829.58 Sep 23, 2020 36217.49 Sep 24, 2020 36583.71 Sep 27, 2020 37231.5 Sep 28, 2020 37134.92 Sep 29, 2020 37458.69 Sep 30, 2020 36626.11 Oct 01, 2020 36642.38 Oct 04, 2020 36740.33 Oct 05, 2020 36947.87 Oct 06, 2020 37418.79 Oct 07, 2020 38404.05 Oct 08, 2020 38478.58 Oct 11, 2020 38342.09 Oct 12, 2020 38131.78 Oct 13, 2020 38025.72 Oct 14, 2020 38059.23'. It's a correct data table transferred from the image.","'Mexico 's IPC stock exchange index from January 2 to October 15 , 2020 (in Mexican pesos) is a area chart. Year is measured on the x-axis. Along the y-axis, IPC in Mexican pesos is plotted.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8407.png,'Market share of the 15 leading insurance companies in Belgium from 2015 to 2019 <s> 2015  leading insurance companies 0.208 AG Insurance 0.142 AXA 0.087 KBC 0.09 Ethias 0.061 Belfius 0.059 P&V 0.054 Allianz 0.048 Baloise 0.019 NN 0.04 ERGO - DKV - DAS 0.031 Argenta 0.012 Federale 0.009 Fidea 0.033 Delta Lloyd 0.023 Generali'. It's a correct data table transferred from the image.,"'Whilst there are many smaller companies, AG insurance and AXA are the biggest companies.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5158.png,"'Total car fleet of the rental car industry in the United States from 2002 to 2012 (in 1,000 cars in service) <s> Year Cars in service in thousands Dec 31, 2001 1643 Dec 31, 2002 1617 Dec 31, 2003 1665 Dec 31, 2004 1714 Dec 31, 2005 1768 Dec 31, 2006 1861 Dec 31, 2007 1813 Dec 31, 2008 1637 Dec 31, 2009 1629 Dec 31, 2010 1761 Dec 31, 2011 1857'. It's a correct data table transferred from the image.",'2007 was the year the total car fleet peaked.  The fleet increased in size from 2003 until 2007.  The years 2007 through till 2010 saw a decline in the fleet size until 2012 saw a rise to near peak levels.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5449.png,"'Distribution of the population in France as of January 1 , 2019 , by age group <s> Distribution of the population Year 0.178 Younger than 15 years old 0.062 15 to 19 years old 0.056 20 to 24 years old 0.055 25 to 29 years old 0.061 30 to 34 years old 0.063 35 to 39 years old 0.061 40 to 44 years old 0.067 45 to 49 years old 0.066 50 to 54 years old 0.065 55 to 59 years old 0.061 60 to 64 years old 0.058 65 to 69 years old 0.052 70 to 74 years old 0.095 75 years and older'. It's a correct data table transferred from the image.","'This is a bar plot named Distribution of the population in France as of January 1 , 2019 , by age group. A scale with a minimum of 0.00 and a maximum of 0.15 can be seen on the x-axis, labeled Distribution of the population. Along the y-axis, Year is drawn.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3016.png,"'Turnover from retail sale of food , beverages and tobacco in specialized stores in Greece from 2008 to 2018 (in million euros) <s> Year Annual turnover in million euros 2018* 2948 2017* 3020.2 2016* 3030 2015* 3132.5 2014* 3204.9 2013 4733.9 2012 5215.1 2011 5822.4 2010 6282.7 2009 6641.4 2008 7195.4'. It's a correct data table transferred from the image.","'Here a is a bar diagram labeled Turnover from retail sale of food , beverages and tobacco in specialized stores in Greece from 2008 to 2018 (in million euros). On the y-axis, Annual turnover in million euros is drawn. A categorical scale with 2008 on one end and 2018* at the other can be found along the x-axis, labeled Year.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2835.png,"'Sales value of fermented beverages manufactured in the United Kingdom (UK) from 2008 to 2019 (in 1,000 GBP) <s> Year Sales value in thousand British pounds Dec 31, 2007 547252 Dec 31, 2008 640555 Dec 31, 2009 573860 Dec 31, 2010 760105 Dec 31, 2011 770843 Dec 31, 2012 921035 Dec 31, 2013 860010 Dec 31, 2014 849967 Dec 31, 2015 807245 Dec 31, 2016 895395 Dec 31, 2017 852628 Dec 31, 2018 779811'. It's a correct data table transferred from the image.",'Fermented beverages appears to show variable popularity year on year.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1542.png,"'Top 10 U.S. for-profit hospitals based on the number of beds as of 2015 <s> Hospital (Location) Number of beds Methodist Hospital (San Antonio, Texas) 1561 Edinburg (Texas) Regional Medical Center 816 Chippenham Hospital (Richmond, Va.) 793 North Shore Medical Center (Miami, Fla.) 771 Henrico Doctor's Hospital (Richmond, Va.) 733 Oklahoma University Medical Center (Oklahoma City) 690 Medical City Hospital (Dallas) 668 TriStar Centennial (Nashville, Tenn.) 657 Plantation (Fla.) General Hospital 655 Sunrise Hospital & Medical Center (Las Vegas) 641'. It's a correct data table transferred from the image.","'This is a bar graph labeled Top 10 U.S. for-profit hospitals based on the number of beds as of 2015. The y-axis shows Number of beds along linear scale from 0 to 1,500 while the x-axis plots Hospital (Location) with categorical scale starting with Chippenham Hospital (Richmond, Va.) and ending with TriStar Centennial (Nashville, Tenn.).'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3121.png,"'Largest companies in Norway as of December 2020 , ranked by turnover (in billion NOK) <s> Turnover in billion NOK business 196.82 Norsk Tjenestemannslag 189.15 Hikoki Power Tools Norway AS 151.01 Norsk Hydro ASA 114.41 Telenor ASA 86.77 Helse Sør-Øst RHF 76.6 Odd Reitan Private Holding AS 76.6 Reitangruppen AS 64.36 Equinor ASA 57.21 Rema 1000 AS 50.61 Coop Norge SA 48.76 Aker ASA 48.71 The Resource Group Trg AS 43.99 Orkla ASA 40.27 Norwegian Air Shuttle ASA 38.13 Norsk Tipping AS 36.66 Atea ASA 36.57 Veidekke ASA 32.29 Esso Norge AS 30.65 Laco AS 30.63 Total E&P Norge AS'. It's a correct data table transferred from the image.","'This is a bar chart labeled Largest companies in Norway as of December 2020 , ranked by turnover (in billion NOK). There is a linear scale of range 0 to 200 along the x-axis, labeled Turnover in billion NOK. business is shown using a categorical scale from Aker ASA to Veidekke ASA along the y-axis.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1249.png,"'Most popular gaming genres on Kickstarter and Indiegogo as of May 2014 , by funds raised (in million U.S. dollars) <s> Gaming genre Successful funding in million U.S. dollars Strategy 9.14 Action 8.78 RPG 7.68 Adventure 5.33 Simulation 1.86 Shooter 1.08 Fighting 0.94 Platformer 0.8 Puzzle 0.24 Racing 0.1'. It's a correct data table transferred from the image.","'Here a is a bar graph titled Most popular gaming genres on Kickstarter and Indiegogo as of May 2014 , by funds raised (in million U.S. dollars). The y-axis shows Successful funding in million U.S. dollars while the x-axis shows Gaming genre.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4835.png,'Turkey : Development of short-term annual interest rate from 2009 to 2018 <s> Year Short-term annual interest rate 2018* 0.0833 2017* 0.0888 2016 0.1023 2015 0.1095 2014 0.1033 2013 0.0693 2012 0.0885 2011 0.0876 2010 0.0761 2009 0.1014'. It's a correct data table transferred from the image.,'Turkey : Development of short-term annual interest rate from 2009 to 2018 is a bar graph. The x-axis shows Year while the y-axis shows Short-term annual interest rate.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3585.png,'Amount of money invested in sea port infrastructure in Turkey from 2004 to 2018 (in million euros) <s> Year Millions of euros invested 2018* 0 2017 91.2 2016 53.6 2015 8.4 2014 10.3 2013 45.1 2012 73.2 2011 35.4 2010 17.2 2009 21.4 2008 32.5 2007 26.3 2006 17.8 2005 16.9 2004 11.1'. It's a correct data table transferred from the image.,"'Annual change in spending on sports and recreation in the United States in 2017 , by type <s> Less than last year No money 11 37 13 38 11 37 7 60 11 49 9 56 7 70 6 71 6 74 4 77'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6438.png,"'Myanmar : Age structure from 2009 to 2019 <s> Year 65 years and older Dec 31, 2008 0.0478 Dec 31, 2009 0.0481 Dec 31, 2010 0.0486 Dec 31, 2011 0.0491 Dec 31, 2012 0.0497 Dec 31, 2013 0.0505 Dec 31, 2014 0.0517 Dec 31, 2015 0.0535 Dec 31, 2016 0.0556 Dec 31, 2017 0.0578 Dec 31, 2018 0.0601'. It's a correct data table transferred from the image.","'Myanmar : Age structure from 2009 to 2019 is a line plot. A linear scale from 0.00 to 0.06 can be found on the y-axis, labeled 65 years and older. The x-axis measures Year on a linear scale of range 2010 to 2018.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4490.png,'Leading coffee exporting countries worldwide in 2018 (in million U.S. dollars) <s> Trade value in million U.S. dollars Country 4371.25 Brazil 2579.82 Germany 2350.45 Switzerland 2335.42 Colombia 1709.33 Italy 1167.54 France 864.9 Belgium 861.2 United States 828.43 Netherlands 817.79 Indonesia 682.15 Peru 514.35 India 503.89 Canada 436.08 Uganda 419.81 Nicaragua'. It's a correct data table transferred from the image.,"'Here a bar graph is named Leading coffee exporting countries worldwide in 2018 (in million U.S. dollars). The x-axis measures Trade value in million U.S. dollars on linear scale of range 0 to 4,000 while the y-axis plots Country on categorical scale from Belgium to United States.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2101.png,"'Number of mobile phone subscribers in Germany from 2004 to 2013 (in million users) <s> Year Number of users in million Dec 31, 2003 70 Dec 31, 2004 78 Dec 31, 2005 84 Dec 31, 2006 95 Dec 31, 2007 104 Dec 31, 2008 103 Dec 31, 2009 87 Dec 31, 2010 89 Dec 31, 2011 91 Dec 31, 2012 97'. It's a correct data table transferred from the image.",'The number of mobile phone subscribers rose between 2004 and 2013.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5993.png,"'Real Gross Domestic Product (GDP) of the federal state of Massachusetts from 2000 to 2019 (in billion U.S. dollars) <s> Year Real GDP in billion U.S. dollars Dec 31, 1999 359.52 Dec 31, 2000 362.43 Dec 31, 2001 364.8 Dec 31, 2002 373.81 Dec 31, 2003 383.49 Dec 31, 2004 390.79 Dec 31, 2005 397.74 Dec 31, 2006 407.97 Dec 31, 2007 412.6 Dec 31, 2008 408.06 Dec 31, 2009 424.58 Dec 31, 2010 434.72 Dec 31, 2011 444.33 Dec 31, 2012 444.87 Dec 31, 2013 453.88 Dec 31, 2014 471.14 Dec 31, 2015 478.96 Dec 31, 2016 490.84 Dec 31, 2017 506.07 Dec 31, 2018 518.72'. It's a correct data table transferred from the image.",'Here a line chart is named Real Gross Domestic Product (GDP) of the federal state of Massachusetts from 2000 to 2019 (in billion U.S. dollars). The y-axis measures Real GDP in billion U.S. dollars with linear scale from 0 to 500 while the x-axis plots Year as linear scale from 2000 to 2015.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2276.png,"'South Africa : Life expectancy at birth from 2008 to 2018 <s> Year Life expectancy at birth in years Dec 31, 2007 55.36 Dec 31, 2008 56.46 Dec 31, 2009 57.67 Dec 31, 2010 58.9 Dec 31, 2011 60.06 Dec 31, 2012 61.1 Dec 31, 2013 61.97 Dec 31, 2014 62.65 Dec 31, 2015 63.15 Dec 31, 2016 63.54 Dec 31, 2017 63.86'. It's a correct data table transferred from the image.","'Life expectancy has increased in South Africa from 2008 to 2020, however the rate at which it has increased started slowing at 2014.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8418.png,"'Vehicle buyers ' use of information sources worldwide in 2012 , by country <s> Response China Car dealer (both new and used cars) 0.47 Vehicle manufacturer websites 0.46 Search engine 0.51 Information websites/independent car valuation services 0.44 Dealer website 0.37 Family and friends 0.47 Specialist motoring/automotive press 0.49 Web forums, blogs or internet discussion groups 0.43 Print advertising 0.25 Auto shows 0.44 TV advertising 0.35 Independent e-tailer sites 0.24 Manufacturer or dealer social media page 0.28 Car dealer (used cars only) 0.15 Non-specialist motoring/automotive press 0.24'. It's a correct data table transferred from the image.","'People in China use the car dealership as the least preferred method to gather information about a vehicle, followed by independent e-tailer sites. Search engine is the most used for this information, followed by a specialist consultation.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2302.png,"'Number of alcohol-related deaths in Norway from 2008 to 2018 <s> Year Number of alcohol-related deaths Dec 31, 2007 392 Dec 31, 2008 390 Dec 31, 2009 416 Dec 31, 2010 402 Dec 31, 2011 337 Dec 31, 2012 398 Dec 31, 2013 329 Dec 31, 2014 352 Dec 31, 2015 341 Dec 31, 2016 338 Dec 31, 2017 335'. It's a correct data table transferred from the image.",'Here a is a line graph named Number of alcohol-related deaths in Norway from 2008 to 2018. The x-axis plots Year. Number of alcohol-related deaths is measured using a linear scale from 0 to 400 along the y-axis.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2392.png,'Route length of railways across Uttar Pradesh in India from financial year 2003 to 2019 (in kilometers) <s> Route length in kilometers year 8823 FY 2019 10324 FY 2018 9167 FY 2017 9077 FY 2016 8950 FY 2015 8920 FY 2014 8832 FY 2013 8800 FY 2012 8763 FY 2011 8726 FY 2010 8703 FY 2009 8554 FY 2008 8575 FY 2007 8546 FY 2006 8546 FY 2005 8566 FY 2004 8799 FY 2003'. It's a correct data table transferred from the image.,'The route length is similar most years except 2018 where the length is longer by around 2000 kilometres.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7741.png,"'Monthly export value of frozen , fresh and canned fruit and vegetable juices in Canada from 2015 to 2020 (in million Canadian dollars) <s> 2015 Month 10.1 Dec 9.2 Nov 9.7 Oct 8.9 Sep 7.8 Aug 8.1 Jul 9.8 Jun 8.9 May 9.2 Apr 9.4 Mar 7.3 Feb 8.8 Jan'. It's a correct data table transferred from the image.","'Average ticket price for Chicago Bears home games from 2006 to 2019 (in U.S. dollars) <s> Year Average ticket price (in U.S. dollars) Dec 31, 2005 77.78 Dec 31, 2006 84.89 Dec 31, 2007 88.33 Dec 31, 2008 88.33 Dec 31, 2009 93.55 Dec 31, 2010 101.55 Dec 31, 2011 110.91 Dec 31, 2012 103.6 Dec 31, 2013 108.44 Dec 31, 2014 108.44 Dec 31, 2015 131.9 Dec 31, 2017 111.19 Dec 31, 2018 124.51'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4121.png,"'Monthly civilian labor force in the United States from November 2019 to November 2020 (in millions , seasonally adjusted) <s> Civilian labor force in millions Month 160.47 Nov '20 160.87 Oct '20 160.14 Sep '20 160.84 Aug '20 159.87 Jul '20 159.93 Jun '20 158.23 May '20 156.48 Apr '20 162.91 Mar '20 164.55 Feb '20 164.61 Jan '20 164.56 Dec '19 164.35 Nov '19'. It's a correct data table transferred from the image.","'Here a bar graph is titled Monthly civilian labor force in the United States from November 2019 to November 2020 (in millions , seasonally adjusted). There is a categorical scale from Apr '20 to Sep '20 on the y-axis, labeled Month. There is a linear scale of range 0 to 150 along the x-axis, marked Civilian labor force in millions.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3571.png,"'U.S. production of breaded shrimp from 2000 to 2018 (in metric tons) <s> Year Production of breaded shrimp in metric tons Dec 31, 1999 55066 Dec 31, 2000 69040 Dec 31, 2001 66554 Dec 31, 2002 68961 Dec 31, 2003 50105 Dec 31, 2004 54476 Dec 31, 2005 63309 Dec 31, 2006 39069 Dec 31, 2007 33644 Dec 31, 2008 44055 Dec 31, 2009 53041 Dec 31, 2010 41940 Dec 31, 2011 36170 Dec 31, 2012 47575 Dec 31, 2013 49575 Dec 31, 2014 48956 Dec 31, 2015 48083 Dec 31, 2016 38209 Dec 31, 2017 38280'. It's a correct data table transferred from the image.",'US production of breaded shrimp has declined by approximately 20000 metric tonnes since the year 2000.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-244.png,"'Total number of cash withdrawals from ATMs in the United Kingdom (UK) from 2001 to 2018 (in millions) <s> Year Number of cash withdrawals in millions Dec 31, 2000 2174 Dec 31, 2001 2268 Dec 31, 2002 2373 Dec 31, 2003 2528 Dec 31, 2004 2699 Dec 31, 2005 2752 Dec 31, 2006 2836 Dec 31, 2007 2866 Dec 31, 2008 2827 Dec 31, 2009 2786 Dec 31, 2010 2874 Dec 31, 2011 2915 Dec 31, 2012 2899 Dec 31, 2013 2831 Dec 31, 2014 2797 Dec 31, 2015 2733 Dec 31, 2016 2598 Dec 31, 2017 2420'. It's a correct data table transferred from the image.",'Guyana : National debt from 2014 to 2024 (in billion U.S. dollars) <s> National debt in billion U.S. dollars Year 2.51 2024* 2.59 2023* 2.51 2022* 2.02 2021* 1.98 2020* 2.27 2019* 2.05 2018 1.84 2017 1.76 2016 1.59 2015 1.58 2014'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1202.png,"'Player expenses of the Chicago Cubs from 2001 to 2019 (in million U.S. dollars) <s> Year Player expenses in million U.S. dollars Dec 31, 2000 81 Dec 31, 2001 88 Dec 31, 2002 95 Dec 31, 2003 106 Dec 31, 2004 117 Dec 31, 2005 115 Dec 31, 2006 130 Dec 31, 2007 140 Dec 31, 2008 151 Dec 31, 2009 157 Dec 31, 2010 162 Dec 31, 2011 137 Dec 31, 2012 129 Dec 31, 2013 111 Dec 31, 2014 154 Dec 31, 2015 189 Dec 31, 2016 186 Dec 31, 2017 195 Dec 31, 2018 228'. It's a correct data table transferred from the image.","'This is a line plot named Player expenses of the Chicago Cubs from 2001 to 2019 (in million U.S. dollars). Along the y-axis, Player expenses in million U.S. dollars is plotted. The x-axis measures Year on a linear scale with a minimum of 2005 and a maximum of 2015.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6807.png,"'Food items that Malaysians have been stocking up during the Movement Control Order (MCO) period during the COVID-19 outbreak in 2020 <s> Response MCO Phase 3 Eggs 0.83 Dry food items 0.78 Fresh food 0.75 Poultry/meat 0.67 Frozen food 0.63 Cooking oil 0.62 Bread, pastry 0.57 Beverages 0.54 Other dairy products 0.35 Seafood 0.3 Cheese 0.18 Alcohol 0.03'. It's a correct data table transferred from the image.","'During the Movement Control Order (MCO) period during the COVID-19 outbreak in 2020 the three items that were stocked the most were eggs, dry food items, and fresh food. The lowest was alcohol, followed by cheese.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-389.png,'Leading 10 U.S. companies based on medical device revenue in 2019 (in billion U.S. dollars) <s> Revenue in billion U.S. dollars companies based on medical device 30.55 Medtronic Inc.* 25.96 Johnson & Johnson Medical Devices & Diagnostics* 19.94 General Electric Healthcare** 15.63 Cardinal Health 14.88 Stryker Corp. 12.99 Becton Dickinson & Co. 12.23 Abbott Laboratories 11.36 Baxter International Inc. 10.65 Boston Scientific Corp. 7.98 Zimmer Biomet'. It's a correct data table transferred from the image.,'Medtronic Inc has made the most revenue of 30 billion dollars. Zimmer Biomet made the least revenue of 7.5 billion dollars.  All the companies are making a substantial revenue of at least 5 billion dollars.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5194.png,"'Number of individuals with asthma in Great Britain in 2015 , by region <s> region in UK Number of individuals North West 778290 South East 687892 London 588172 East of England 564416 Scotland 554306 Yorkshire and the Humber 535547 South West 530775 West Midlands 440651 East Midlands 385520 Wales 314984 North East 261352'. It's a correct data table transferred from the image.","'Gross carrying amount of selected intangible Alphabet assets from 2007 to 2019 (in millions) <s> Year Customer relationships Dec 31, 2006 171.88 Dec 31, 2007 800.11 Dec 31, 2008 783.61 Dec 31, 2009 950 Dec 31, 2010 1288 Dec 31, 2011 2061 Dec 31, 2012 1770 Dec 31, 2013 1410 Dec 31, 2014 1343 Dec 31, 2015 352 Dec 31, 2016 359 Dec 31, 2017 349 Dec 31, 2018 254'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-9.png,"'Number of car registrations in Europe in 2019 , by segment (in 1,000s) <s> New registrations in thousands programming language 2685.29 Small 2163.77 Compact 2090.17 Compact SUV & crossover 1922.69 Small SUV & crossover 1101.78 Minicar 746.61 Compact premium 614.35 Premium compact SUV & crossover 540.17 Midsize premium 515.16 Premium midsize SUV & crossover 403.92 Midsize'. It's a correct data table transferred from the image.","'Here a bar diagram is labeled Number of car registrations in Europe in 2019 , by segment (in 1,000s). The x-axis plots New registrations in thousands as linear scale from 0 to 2,500 while the y-axis plots programming language on categorical scale from Compact to Small SUV & crossover.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5637.png,'ICC Cricket Rankings : Leading test countries worldwide as of September 2020 <s> Rating Country 116 Australia 115 New Zealand 114 India 106 England 91 Sri Lanka 90 South Africa 85 Pakistan 79 West Indies 55 Bangladesh 18 Zimbabwe'. It's a correct data table transferred from the image.,'The country with the highest ICC rating is Australia. The country with the lowest ICC rating is Zimbabwe. Most countries have a rating of between 80 and 120.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4714.png,'Men 's singles US Open tennis tournaments won from 1968 to 2020 <s> Number of US Open titles player 5 Jimmy Connors 5 Roger Federer 5 Pete Sampras 4 John McEnroe 4 Rafael Nadal 3 Ivan Lendl 3 Novak Djokovic 2 Patrick Rafter 2 Stefan Edberg 2 Stan Smith 2 Arthur Ashe 2 John Newcombe*'. It's a correct data table transferred from the image.,"'Number of international visitor arrivals in Finland from January to July 2020 , by country of origin <s> Country March* Russia 12101 Germany 13299 United Kingdom 6075 Sweden 6080 China 1156 France 6396 Estonia 3580 Netherlands 4884 United States 4831 Norway 2184 Japan 3718 Switzerland 2149 Italy 1510 Spain 2099'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1907.png,"'Infant mortality rate (under one year old) in Germany from 1840 to 2020 <s> Year Deaths per 1,000 live births Dec 31, 1839 295 Dec 31, 1844 296.2 Dec 31, 1849 299.6 Dec 31, 1854 289.2 Dec 31, 1859 286.6 Dec 31, 1864 309 Dec 31, 1869 302.2 Dec 31, 1874 295.4 Dec 31, 1879 227.4 Dec 31, 1884 229 Dec 31, 1889 224.4 Dec 31, 1894 224.4 Dec 31, 1899 217 Dec 31, 1904 199 Dec 31, 1909 174.2 Dec 31, 1914 160.4 Dec 31, 1919 144.6 Dec 31, 1924 121.6 Dec 31, 1929 94 Dec 31, 1934 80.8 Dec 31, 1939 65.2 Dec 31, 1954 46 Dec 31, 1959 39 Dec 31, 1964 30 Dec 31, 1969 23 Dec 31, 1974 21 Dec 31, 1979 16 Dec 31, 1984 11 Dec 31, 1989 8 Dec 31, 1994 6 Dec 31, 1999 5 Dec 31, 2004 4 Dec 31, 2009 4 Dec 31, 2014 3 Dec 31, 2019 3'. It's a correct data table transferred from the image.","'Infant mortality rate (under one year old) in Germany from 1840 to 2020 is a area plot. There is a linear scale of range 1850 to 2000 on the x-axis, labeled Year. There is a linear scale with a minimum of 0 and a maximum of 350 along the y-axis, marked Deaths per 1,000 live births.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2077.png,"'Cities with the largest number of community gardens per 10,000 residents in the United States in 2019 <s> city Community gardens per 10,000 residents Portland, OR 3.8 St. Paul, MN 3.8 Washington, DC 3.2 Madison, WI 3.2 Orlando, FL 2.4 Seattle, WA 2.1 Milwaukee, WI 1.8 Arlington, VA 1.7 Long Beach, CA 1.7 San Francisco, CA 1.5'. It's a correct data table transferred from the image.","'Cities with the largest number of community gardens per 10,000 residents in the United States in 2019 is a bar plot. Along the y-axis, Community gardens per 10,000 residents is shown. There is a categorical scale from Arlington, VA to Washington, DC on the x-axis, labeled city.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4731.png,'Top Google search queries in the United States in 2019 (index value) <s> Index rating Platform 100 You 83 Weather 76 Google 64 Facebook 46 Youtube 45 News 43 Amazon 31 Craigslist 31 Walmart 29 Food 21 Map 19 NFL 19 Yahoo 18 Apple 18 Instagram 17 Calculator 16 NBA 16 Translate 15 Gmail 14 Reddit'. It's a correct data table transferred from the image.,"'Number of Deloitte employees worldwide from 2010 to 2020 , by level <s> Level Partners Dec 31, 2009 9538 Dec 31, 2010 9673 Dec 31, 2011 9948 Dec 31, 2012 10189 Dec 31, 2013 10247 Dec 31, 2014 10601 Dec 31, 2015 11122 Dec 31, 2016 11378 Dec 31, 2017 12250 Dec 31, 2018 13411 Dec 31, 2019 14266'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2416.png,"'Average price for a basic pedicure in nail salons in the United States from 2008 to 2019 (in U.S. dollars) <s> Year Average price in U.S. dollars Dec 31, 2007 31.88 Dec 31, 2008 31.33 Dec 31, 2009 30.99 Dec 31, 2010 32.24 Dec 31, 2011 31.69 Dec 31, 2012 32.63 Dec 31, 2013 33.26 Dec 31, 2014 32.61 Dec 31, 2015 32.09 Dec 31, 2016 33.56 Dec 31, 2017 33.72 Dec 31, 2018 35.46'. It's a correct data table transferred from the image.","'This line chart is called Average price for a basic pedicure in nail salons in the United States from 2008 to 2019 (in U.S. dollars). A linear scale of range 2008 to 2018 can be seen on the x-axis, marked Year. A linear scale of range 0 to 40 can be found on the y-axis, labeled Average price in U.S. dollars.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6201.png,'Employment rate by age in the United States from 2000 to 2019 <s> 55 and over year 0.391 '19 0.388 '18 0.387 '17 0.385 '16 0.384 '15 0.382 '14 0.382 '13 0.38 '12 0.376 '11 0.374 '10 0.373 '09 0.379 '08 0.374 '07 0.369 '06 0.359 '05 0.349 '04 0.342 '03 0.332 '02 0.322 '01 0.315 '00'. It's a correct data table transferred from the image.,'The lowest employment rate in 55 and over was in '00. The highest employment rate was in '19. Employment rate in the past 20 years varied between 0.3 and 0.4.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5626.png,"'Kia 's vehicle sales from FY 2009 to FY 2019 (in 1,000 units) <s> Year Sales in thousand units Dec 31, 2008 1651 Dec 31, 2009 2088 Dec 31, 2010 2478 Dec 31, 2011 2709 Dec 31, 2012 2746 Dec 31, 2013 2907 Dec 31, 2014 2915 Dec 31, 2015 3018 Dec 31, 2016 2743 Dec 31, 2017 2815 Dec 31, 2018 2816'. It's a correct data table transferred from the image.","'Over the course of 10 years, from 2009, KIA sales have slowly increased. The lowest number of sales in 2009 at around 1.7 million sales. The highest number of sales in 2016 at around 3 million sales.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1568.png,'Gross domestic expenditure on research and development (GERD) as a percentage of GDP in Portugal from 2000 to 2017 <s> GERD as percentage of GDP Year 0.0132 2017*** 0.0128 2016 0.0124 2015 0.0129 2014 0.0133 2013 0.0138 2012 0.0146 2011 0.0153 2010 0.0158 2009 0.0145 2008** 0.0112 2007 0.0095 2006* 0.0076 2005 0.0073 2004* 0.007 2003 0.0072 2002* 0.0076 2001 0.0072 2000*'. It's a correct data table transferred from the image.,"'Gross domestic expenditure on research and development (GERD) as a percentage of GDP in Portugal from 2000 to 2017 is a bar chart. The y-axis plots Year. On the x-axis, GERD as percentage of GDP is measured as a linear scale with a minimum of 0.000 and a maximum of 0.015.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6339.png,"'Number of new passenger car registrations of leading car brands in France between 2016 and 2018 , by brand <s> leading car brands 2018 Renaul  406222; leading car brands: Renault Peugeo  389518; leading car brands: Peugeot Citroë  213844; leading car brands: Citroën Volkswage  140313; leading car brands: Volkswagen Daci  140326; leading car brands: Dacia Toyot  97286; leading car brands: Toyota For  82633; leading car brands: Ford Nissa  59606; leading car brands: Nissan Fia  78226; leading car brands: Fiat Mercede  65808; leading car brands: Mercedes Aud  51582; leading car brands: Audi BM  57537; leading car brands: BMW Ope  71619; leading car brands: Opel KI  42313; leading car brands: KIA Hyunda  35542; leading car brands: Hyundai Skod  31423; leading car brands: Skoda Min  27378; leading car brands: Mini Sea  31219; leading car brands: Seat D  24004; leading car brands: DS'. It's a correct data table transferred from the image.","'Detroit Lions operating income from 2001 to 2019 (in million U.S. dollars) <s> Year Operating income in million U.S. dollars Dec 31, 2000 8 Dec 31, 2001 36.8 Dec 31, 2002 25.1 Dec 31, 2003 15.4 Dec 31, 2004 16.1 Dec 31, 2005 −1.8 Dec 31, 2006 −3.1 Dec 31, 2007 17.2 Dec 31, 2008 −2.9 Dec 31, 2009 −7.7 Dec 31, 2010 −4.6 Dec 31, 2011 −3.5 Dec 31, 2012 −15.9 Dec 31, 2013 36.1 Dec 31, 2014 64 Dec 31, 2015 48 Dec 31, 2016 4.1 Dec 31, 2017 73 Dec 31, 2018 43'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6317.png,"'Cuba : Distribution of gross domestic product (GDP) across economic sectors from 2008 to 2018 <s> Year Services Dec 31, 2007 0.7232 Dec 31, 2008 0.7245 Dec 31, 2009 0.7247 Dec 31, 2010 0.7301 Dec 31, 2011 0.7166 Dec 31, 2012 0.7177 Dec 31, 2013 0.7288 Dec 31, 2014 0.7276 Dec 31, 2015 0.7205 Dec 31, 2016 0.7082 Dec 31, 2017 0.6997'. It's a correct data table transferred from the image.","'product has declined since 2016, before then it changed a little but looks relatively steady but in 2016 onwards it clearly dips.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3107.png,'Most viewed YouTube video categories of male Millennial users in the United States as of April 2016 <s> Response Share of views Gaming 0.51 Music 0.15 Movies and TV 0.12 Sports 0.05 Technology 0.04 Health and fitness 0.03 Hobbies 0.03 Education and reference 0.02 Comedy 0.02 Shopping 0.01 Other 0.02'. It's a correct data table transferred from the image.,"'Fastest growing convenience food products online sales during the coronavirus (COVID-19) outbreak in Russia from January to March 2020 , by product <s> 06.01-01.03 food products 1.99 Energy drinks 0.49 Pasta 0.49 Vegetable oil 0.39 Instant soups 0.52 Porridge 0.64 Chocolate paste 0.62 Souces 0.46 Sterilized milk 0.48 Flakes 0.36 Water'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1567.png,"'Number of Toyota cars sold in France from 2009 to 2018 <s> Year Units sold Dec 31, 2008 88234 Dec 31, 2009 65390 Dec 31, 2010 67320 Dec 31, 2011 68007 Dec 31, 2012 71693 Dec 31, 2013 66774 Dec 31, 2014 71755 Dec 31, 2015 77696 Dec 31, 2016 88662 Dec 31, 2017 97286'. It's a correct data table transferred from the image.","'This area chart is labeled Number of Toyota cars sold in France from 2009 to 2018. The x-axis measures Year with linear scale with a minimum of 2010 and a maximum of 2016 while the y-axis plots Units sold along linear scale with a minimum of 0 and a maximum of 100,000.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6268.png,"'Total gate revenues from sporting events worldwide by region from 2006 to 2015 (in billion U.S. dollars) <s> Year North America Dec 31, 2005 14.51 Dec 31, 2006 15.6 Dec 31, 2007 15.98 Dec 31, 2008 15.55 Dec 31, 2009 15.71 Dec 31, 2010 15.33 Dec 31, 2011 15.86 Dec 31, 2012 16.63 Dec 31, 2013 17.21 Dec 31, 2014 17.84'. It's a correct data table transferred from the image.","'There was, and still seems to be, and upward trend 8n gate revenues.  The dip in 2011/12 shows that people were not attending as many events, although the dip is not hugely significant.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7444.png,"'For each of the following product categories , how many of your purchases have you made online over the last 12 months ? <s> About half of my purchases (41-60%) Response 0.1 Consumer electronics 0.11 Household appliances 0.23 Clothing and footwear 0.17 Books, music, movies and video games 0.12 Furniture/homeware 0.11 Sports/outdoor equipment 0.12 Jewellery/watches 0.11 DIY/home improvement 0.14 Grocery 0.11 Toys 0.18 Health and beauty'. It's a correct data table transferred from the image.","'Number of general pediatricians employed in Poland from 2003 to 2017 <s> Year Number of employees Dec 31, 2002 8142 Dec 31, 2003 7319 Dec 31, 2004 6478 Dec 31, 2005 6364 Dec 31, 2006 6287 Dec 31, 2007 4641 Dec 31, 2008 4588 Dec 31, 2009 4721 Dec 31, 2010 4812 Dec 31, 2011 4880 Dec 31, 2012 5008 Dec 31, 2013 5143 Dec 31, 2014 5210 Dec 31, 2015 5533 Dec 31, 2016 5497'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8020.png,"'Rate of homicide in Canada and the United States from 2000 to 2018 <s> Year Canada Dec 31, 1999 1.78 Dec 31, 2000 1.78 Dec 31, 2001 1.86 Dec 31, 2002 1.74 Dec 31, 2003 1.95 Dec 31, 2004 2.06 Dec 31, 2005 1.86 Dec 31, 2006 1.81 Dec 31, 2007 1.84 Dec 31, 2008 1.81 Dec 31, 2009 1.63 Dec 31, 2010 1.74 Dec 31, 2011 1.56 Dec 31, 2012 1.46 Dec 31, 2013 1.47 Dec 31, 2014 1.71 Dec 31, 2015 1.69 Dec 31, 2016 1.82 Dec 31, 2017 1.76'. It's a correct data table transferred from the image.","'Total population of Haiti from 2008 to 2018 , by gender (in million inhabitants) <s> Year Total Dec 31, 2007 9.65 Dec 31, 2008 9.8 Dec 31, 2009 9.95 Dec 31, 2010 10.1 Dec 31, 2011 10.25 Dec 31, 2012 10.4 Dec 31, 2013 10.55 Dec 31, 2014 10.7 Dec 31, 2015 10.84 Dec 31, 2016 10.98 Dec 31, 2017 11.12'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1407.png,"'Uganda : Fertility rate from 2008 to 2018 <s> Year Number of children born per woman Dec 31, 2007 6.33 Dec 31, 2008 6.23 Dec 31, 2009 6.11 Dec 31, 2010 5.98 Dec 31, 2011 5.85 Dec 31, 2012 5.7 Dec 31, 2013 5.55 Dec 31, 2014 5.39 Dec 31, 2015 5.24 Dec 31, 2016 5.1 Dec 31, 2017 4.96'. It's a correct data table transferred from the image.",'Uganda : Fertility rate from 2008 to 2018 is a line plot. The y-axis measures Number of children born per woman while the x-axis shows Year.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1704.png,"'Percentage of new Hispanic directors on Fortune 500 boards from 2009 to 2019 <s> Response Percentage of Hispanic directors Dec 31, 2008 0.051 Dec 31, 2009 0.054 Dec 31, 2010 0.039 Dec 31, 2011 0.047 Dec 31, 2012 0.05 Dec 31, 2013 0.05 Dec 31, 2014 0.04 Dec 31, 2015 0.064 Dec 31, 2016 0.064 Dec 31, 2017 0.04 Dec 31, 2018 0.05'. It's a correct data table transferred from the image.",'Philadelphia 76ers all-time steals leaders from 1949 to 2020 <s> Philadelphia 76ers all-time steals leaders Steals Maurice Cheeks 1942 Allen Iverson 1644 Julius Erving 1508 Andre Iguodala 1076 Charles Barkley 1007 Steve Mix 851 Bobby Jones 727 Hersey Hawkins 722 Thaddeus Young 708 Eric Snow 702'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4891.png,'Leading fashion brands with the most Facebook fans as of October 2020 (in millions) <s> brand Number of fans in millions Louis Vuitton 23.8 Dior 17.27 Chalany High Heels 14.58 Pit Bull Jeans 11.99 Mango 11.51 Fastrack 8.86 BOSS 8.46 ROLEX 7.44 Prada 6.96 Amore Mio 6.43'. It's a correct data table transferred from the image.,"'LouisVuitton has over 25 million fans on Facebook in October 2020 and has the largest number of fans in the graph,  Whilst Amore Mio has the least fans at just over 5 million.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2570.png,"'Total amount of investment of private equity companies in Denmark from 2007 to 2016 (in million euros) <s> Year Total investment in million euros Dec 31, 2006 1426.88 Dec 31, 2007 572.73 Dec 31, 2008 490.39 Dec 31, 2009 457.93 Dec 31, 2010 482.74 Dec 31, 2011 773.74 Dec 31, 2012 1488.68 Dec 31, 2013 690.06 Dec 31, 2014 1382.41 Dec 31, 2015 1220.01'. It's a correct data table transferred from the image.","'Average ticket price for Atlanta Falcons home games from 2006 to 2019 (in U.S. dollars) <s> Year Average ticket price in U.S. dollars Dec 31, 2005 60.34 Dec 31, 2006 60.34 Dec 31, 2007 63.95 Dec 31, 2008 72.45 Dec 31, 2009 68.22 Dec 31, 2010 68.91 Dec 31, 2011 76.78 Dec 31, 2012 83.71 Dec 31, 2013 78.58 Dec 31, 2014 78.83 Dec 31, 2015 78.83 Dec 31, 2017 104.08 Dec 31, 2018 104.08'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5288.png,'Annual salaries of selected heads of state and government leaders in 2010 (in U.S. dollars) <s> government leaders Annual salary (in U.S. dollars) Lee Hsien Loong (Singapore) 2183500 Mwai Kibaki (Kenya) 427900 Barack Obama (United States) 400000 Nicolas Sarkozy (France) 302400 Stephen Harper (Canada) 296400 Brian Cowen (Ireland) 287900 Julia Gillard (Australia) 286800 Angela Merkel (Germany) 283600 Naoto Kan (Japan) 273700 Jacob Zuma (South Africa) 272300 John Key (New Zealand) 271800 David Cameron (United Kingdom) 215400'. It's a correct data table transferred from the image.,"'All of the world leaders featured have similar salaries that are below 500000 USD. The exception is the outlier of Singapore, where the head of state earns over 2 million USD.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8629.png,"'Amount a player receives for playing in the NFL Super Bowl 2020 - 2030 (in 1,000 U.S. dollars) <s> Year Losing team Dec 31, 2019 65 Dec 31, 2020 75 Dec 31, 2021 82 Dec 31, 2022 89 Dec 31, 2023 96 Dec 31, 2024 103 Dec 31, 2025 113 Dec 31, 2026 123 Dec 31, 2027 133 Dec 31, 2028 143 Dec 31, 2029 153'. It's a correct data table transferred from the image.",'Average undergraduate tuition fees for Canadian citizens in Canada from 2006 to 2020 (in Canadian dollars) <s> Year Tuition in Canadian dollars 2020 / 2021* 6610 2019 / 2020 6496 2018 / 2019 6822 2017 / 2018 6618 2016 / 2017 6375 2015 / 2016 6201 2014 / 2015 5998 2013 / 2014 5767 2012 / 2013 5586 2011 / 2012 5313 2010 / 2011 5146 2009 / 2010 4942 2008 / 2009 4747 2007 / 2008 4558 2006 / 2007 4400'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1566.png,"'Total net written premiums of the general business insurance market in the United Kingdom (UK) from 2007 to 2018 (in million GBP) <s> Year Amount in million GBP Dec 31, 2006 33971 Dec 31, 2007 35492 Dec 31, 2008 32293 Dec 31, 2009 34337 Dec 31, 2010 35964 Dec 31, 2011 35423 Dec 31, 2012 35226 Dec 31, 2013 33887 Dec 31, 2014 30123 Dec 31, 2015 26018 Dec 31, 2016 29672 Dec 31, 2017 32929'. It's a correct data table transferred from the image.","'Apart from the year 2016 the amount in million has not dropped below £30,000 in 11 years. Since 2016 the general business insurance market has increased in terms of amount or millions.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2392.png,'Route length of railways across Uttar Pradesh in India from financial year 2003 to 2019 (in kilometers) <s> Route length in kilometers year 8823 FY 2019 10324 FY 2018 9167 FY 2017 9077 FY 2016 8950 FY 2015 8920 FY 2014 8832 FY 2013 8800 FY 2012 8763 FY 2011 8726 FY 2010 8703 FY 2009 8554 FY 2008 8575 FY 2007 8546 FY 2006 8546 FY 2005 8566 FY 2004 8799 FY 2003'. It's a correct data table transferred from the image.,"'Peppermint oil production value in the U.S. from 2000 to 2018 (in 1,000 U.S. dollars) <s> Year Production value in thousand U.S. dollars Dec 31, 1999 74320 Dec 31, 2000 70860 Dec 31, 2001 82560 Dec 31, 2002 84218 Dec 31, 2003 86421 Dec 31, 2004 85114 Dec 31, 2005 89911 Dec 31, 2006 76866 Dec 31, 2007 87450 Dec 31, 2008 128118 Dec 31, 2009 131805 Dec 31, 2010 154626 Dec 31, 2011 158121 Dec 31, 2012 146260 Dec 31, 2013 131364 Dec 31, 2014 128610 Dec 31, 2015 119604 Dec 31, 2016 105908 Dec 31, 2017 106489'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6152.png,"'U.S. electricity production costs from 2000 to 2014 , by source (in cents per kilowatt hour) <s> Year Petroleum Dec 31, 1999 7.16 Dec 31, 2000 6.59 Dec 31, 2001 6.35 Dec 31, 2002 7.53 Dec 31, 2003 7.15 Dec 31, 2004 9.81 Dec 31, 2005 11.22 Dec 31, 2006 11.83 Dec 31, 2007 19.2 Dec 31, 2008 14.16 Dec 31, 2009 18.06 Dec 31, 2010 24.08 Dec 31, 2011 23.78 Dec 31, 2012 21.56 Dec 31, 2013 22.49'. It's a correct data table transferred from the image.","'Average annual household expenditures in Manitoba , Canada in 2017 (in Canadian dollars) <s> Average expenditure in Canadian dollars industry 15744 Shelter 14878 Income taxes 13232 Transportation 8379 Food expenditures 5707 Personal insurance payments and pension contributions 4548 Household operations 4009 Recreation 3292 Clothing and accessories 2497 Health care 2464 Gifts of money, support payments and charitable contributions 2381 Household furnishings and equipment 2062 Miscellaneous expenditures 1635 Education 1230 Tobacco products and alcoholic beverages 1156 Personal care 288 Games of chance 170 Reading materials and other printed matter'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2585.png,'Fields of study with the most international students in the United States in the academic year 2019/20 <s> Fields of study Number of students Engineering 220542 Math and Computer Science 205207 Business and Management 174470 Social Sciences 84440 Physical and Life Sciences 81971 Fine and Applied Arts 64501 Health Professions 34934 Communications and Journalism 23925 Intensive English 21301 Humanities 16269 Legal Studies and Law Enforcement 16269 Education 15700 Agriculture 13134'. It's a correct data table transferred from the image.,"'The field of study with the highest number of international students was engineering with over 200,000, closely followed by math and computer science. The field of study with the smallest number of international students was agriculture with around 10,000 students. The majority of fields of study had less than 50,000 international students.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3790.png,"'Detroit Lions operating income from 2001 to 2019 (in million U.S. dollars) <s> Year Operating income in million U.S. dollars Dec 31, 2000 8 Dec 31, 2001 36.8 Dec 31, 2002 25.1 Dec 31, 2003 15.4 Dec 31, 2004 16.1 Dec 31, 2005 −1.8 Dec 31, 2006 −3.1 Dec 31, 2007 17.2 Dec 31, 2008 −2.9 Dec 31, 2009 −7.7 Dec 31, 2010 −4.6 Dec 31, 2011 −3.5 Dec 31, 2012 −15.9 Dec 31, 2013 36.1 Dec 31, 2014 64 Dec 31, 2015 48 Dec 31, 2016 4.1 Dec 31, 2017 73 Dec 31, 2018 43'. It's a correct data table transferred from the image.","'Distribution of municipal wastewater discharges treatment type in Canada as of 2017 , by province <s> Country Tertiary treatment Canada 0.237 Newfoundland and Labrador 0.011 Prince Edward Island 0.204 Nova Scotia 0.097 New Brunswick 0.005 Quebec 0.074 Ontario 0.39 Manitoba 0.188 Saskatchewan 0.451 Alberta 0.814 British Columbia 0.073 Yukon 0'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4117.png,"'Number of births in Italy from 2010 to 2019 <s> Year Number of births Dec 31, 2009 549794 Dec 31, 2010 530770 Dec 31, 2011 521855 Dec 31, 2012 498172 Dec 31, 2013 494550 Dec 31, 2014 480292 Dec 31, 2015 468345 Dec 31, 2016 453628 Dec 31, 2017 440780 Dec 31, 2018 417614'. It's a correct data table transferred from the image.","'Number of LTE subscriptions worldwide from 2012 to 2024 , by region (in millions) <s> Latin America Year 454.1 2024* 404.66 2023* 323.49 2022* 236.12 2021* 148.46 2020* 76.98 2019* 34.53 2018 12.18 2017 3.96 2016'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3544.png,"'St. Louis Cardinals average ticket price from 2006 to 2019 (in U.S. dollars) <s> Year Average ticket price in U.S. dollars Dec 31, 2005 29.78 Dec 31, 2006 28.43 Dec 31, 2007 29.32 Dec 31, 2008 29.43 Dec 31, 2009 30.14 Dec 31, 2010 31.17 Dec 31, 2011 31.57 Dec 31, 2012 33.11 Dec 31, 2013 33.84 Dec 31, 2014 34.2 Dec 31, 2015 35.24 Dec 31, 2017 35.54 Dec 31, 2018 35.54'. It's a correct data table transferred from the image.","'This is a area chart called St. Louis Cardinals average ticket price from 2006 to 2019 (in U.S. dollars). There is a linear scale with a minimum of 0 and a maximum of 40 on the y-axis, labeled Average ticket price in U.S. dollars. Year is measured on the x-axis.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3693.png,"'Cancer incidence rates among men in selected countries worldwide between 2003 and 2007 (per 100,000 population) <s> Incidence rate per 100,000 population Country 446.1 USA: Black 377.5 Australia 365.6 USA: White 330.1 Slovakia 324.4 Denmark 319.9 Spain 264.9 Japan 225.9 Colombia 220.8 China 182.6 Costa Rica 177.3 Uganda 100.4 India'. It's a correct data table transferred from the image.",'The black population in the USA experiences the highest cancer incidence rates (at 425 per 100000). India's population experiences the lowest cancer rates (at 100 per 100000). The median rate is in Japan.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3413.png,"'Percentage of households with a dishwasher in the United Kingdom (UK) in 2018 , by gross income group <s> Percentage of respondents Gross income decile group 0.2 Lowest ten percent 0.25 Second decile group 0.32 Third decile group 0.4 Fourth decile group 0.44 Fifth decile group 0.51 Sixth decile group 0.54 Seventh decile group 0.62 Eighth decile group 0.75 Ninth decile group 0.84 Highest ten percent'. It's a correct data table transferred from the image.",'Leading coffee exporting countries worldwide in 2018 (in million U.S. dollars) <s> Trade value in million U.S. dollars Country 4371.25 Brazil 2579.82 Germany 2350.45 Switzerland 2335.42 Colombia 1709.33 Italy 1167.54 France 864.9 Belgium 861.2 United States 828.43 Netherlands 817.79 Indonesia 682.15 Peru 514.35 India 503.89 Canada 436.08 Uganda 419.81 Nicaragua'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5111.png,"'Number of stolen or lost firearms in the U.S. in 2019 , by state <s> State Number of firearms stolen or lost Florida 1395 Texas 1042 North Carolina 575 Alabama 505 Georgia 500 Ohio 454 Alaska 422 Michigan 410 Virginia 401 Arkansas 399 Illinois 366 South Carolina 364 Washington 364 Louisiana 360 Missouri 324 Pennsylvania 315 Oregon 310 Mississippi 302 Arizona 271 Colorado 263 Tennessee 247 Oklahoma 228 Wisconsin 194 California 191 Maryland 186 Utah 173 Massachusetts 171 South Dakota 168 Kansas 167 Indiana 166 Kentucky 154 Nevada 153 Iowa 147 Connecticut 137 West Virginia 127 New Mexico 101 Montana 98 Idaho 93 Vermont 93 Minnesota 89 Maine 82 New York 77 North Dakota 55 Nebraska 53 New Hampshire 48 Wyoming 35 Delaware 19 New Jersey 10 Hawaii 6 Rhode Island 2'. It's a correct data table transferred from the image.","'The majority of states had 400 or less firearms lost or stolen in 2019.  Only 7 states out of 50 had over this number.  Of these 7 states, 5 had between 400 and 600 firearms lost or stolen, with the remaining 2 (Florida and Texas) having 1400 and just over 1000 firearms respectively lost or stolen.    There were 4 states that had extremely low figures - Delaware, Hawaii, New Jersey and Rhode Island.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-421.png,"'Most popular tourist attractions worldwide on Instagram as of September 2018 , by number of posts (in millions) <s> Number of hashtagged posts in millions tourist attraction 6.17 Central Park, New York City 5.09 Eiffel Tower, Paris 3.45 Times Square, New York City 3.01 Grand Canyon, Arizona 2.9 Big Ben, London 2.66 Burj Khalifa, Dubai 2.63 London Eye, London 2.53 Brooklyn Bridge, New York City 2.51 Louvre, Paris 2.37 Golden Gate Bridge, California 2.36 Niagara Falls, Ontario 2.3 Empire State Building, New York City 1.82 London Bridge, London 1.6 Statue of Liberty, New York City 1.53 Sagrada Familia, Barcelona 1.35 Coliseum, Rome 1.26 Machu Picchu, Peru 1.16 Angor Wat, Cambodia'. It's a correct data table transferred from the image.","'UK internet penetration : percentage of population using the internet in the United Kingdom from 2000 to 2017 <s> Response Percentage of individuals using internet Dec 31, 1999 0.2682 Dec 31, 2000 0.3348 Dec 31, 2001 0.5648 Dec 31, 2002 0.6482 Dec 31, 2003 0.6561 Dec 31, 2004 0.7 Dec 31, 2005 0.6882 Dec 31, 2006 0.7509 Dec 31, 2007 0.7839 Dec 31, 2008 0.8356 Dec 31, 2009 0.85 Dec 31, 2010 0.8538 Dec 31, 2011 0.8748 Dec 31, 2012 0.8984 Dec 31, 2013 0.9161 Dec 31, 2014 0.92 Dec 31, 2015 0.9462 Dec 31, 2016 0.9462'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4973.png,"'Finland : Urbanization from 2009 to 2019 <s> Response Share of urban population in total population Dec 31, 2008 0.8343 Dec 31, 2009 0.8377 Dec 31, 2010 0.8431 Dec 31, 2011 0.8484 Dec 31, 2012 0.8513 Dec 31, 2013 0.8518 Dec 31, 2014 0.8523 Dec 31, 2015 0.8528 Dec 31, 2016 0.8533 Dec 31, 2017 0.8538 Dec 31, 2018 0.8545'. It's a correct data table transferred from the image.","'Here a area plot is labeled Finland : Urbanization from 2009 to 2019. Share of urban population in total population is drawn on a linear scale with a minimum of 0.0 and a maximum of 0.8 on the y-axis. A linear scale of range 2010 to 2018 can be seen along the x-axis, marked Response.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-22.png,"'Number of hospitals in Germany from 2000 to 2017 <s> Year Number of hospitals Dec 31, 1999 3635 Dec 31, 2000 3628 Dec 31, 2001 3564 Dec 31, 2002 3513 Dec 31, 2003 3460 Dec 31, 2004 3409 Dec 31, 2005 3359 Dec 31, 2006 3326 Dec 31, 2007 3322 Dec 31, 2008 3324 Dec 31, 2009 3301 Dec 31, 2010 3278 Dec 31, 2011 3229 Dec 31, 2012 3183 Dec 31, 2013 3138 Dec 31, 2014 3108 Dec 31, 2015 3100 Dec 31, 2016 3084'. It's a correct data table transferred from the image.","'the amount of hospitals have gradually decreased from 2000 to 2015, had a slight increase from about 2007 to about 2011 then started to decrease again.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5998.png,"'Number of retail chains in Hungary in 2020 , by sector <s> Number of retail chains studio album 37 Fashion & Clothing 19 Sport & Leisure 12 Personal Care 12 Footwear & Leather 11 Consumer Electronics 10 Food 8 Petrol 7 Toys & Games 7 Furniture & Decoration 7 Home Ware 7 Optical 6 Telecom 5 Pet Care 4 DIY & Gardening 4 Car Parts & Accessories 2 Baby Ware 1 Books & Magazines 0 Jewelry & Watches'. It's a correct data table transferred from the image.","'Number of confirmed cases and deaths of coronavirus (COVID-19) in Mexico from January 14 to December 14 , 2020 <s> Year Deaths Jan 13, 2020 0 Jan 14, 2020 0 Jan 15, 2020 0 Jan 16, 2020 0 Jan 17, 2020 0 Jan 18, 2020 0 Jan 19, 2020 0 Jan 20, 2020 0 Jan 21, 2020 0 Jan 22, 2020 0 Jan 23, 2020 0 Jan 24, 2020 0 Jan 25, 2020 0 Jan 26, 2020 0 Jan 27, 2020 0 Jan 28, 2020 0 Jan 29, 2020 0 Jan 30, 2020 0 Jan 31, 2020 0 Feb 01, 2020 0 Feb 02, 2020 0 Feb 03, 2020 0 Feb 04, 2020 0 Feb 05, 2020 0 Feb 06, 2020 0 Feb 07, 2020 0 Feb 08, 2020 0 Feb 09, 2020 0 Feb 10, 2020 0 Feb 11, 2020 0 Feb 12, 2020 0 Feb 13, 2020 0 Feb 14, 2020 0 Feb 15, 2020 0 Feb 16, 2020 0 Feb 17, 2020 0 Feb 18, 2020 0 Feb 19, 2020 0 Feb 20, 2020 0 Feb 21, 2020 0 Feb 22, 2020 0 Feb 23, 2020 0 Feb 24, 2020 0 Feb 25, 2020 0 Feb 26, 2020 0 Feb 27, 2020 0 Feb 28, 2020 0 Feb 29, 2020 0 Mar 01, 2020 0 Mar 02, 2020 0 Mar 03, 2020 0 Mar 04, 2020 0 Mar 05, 2020 0 Mar 06, 2020 0 Mar 07, 2020 0 Mar 08, 2020 0 Mar 09, 2020 0 Mar 10, 2020 0 Mar 11, 2020 0 Mar 12, 2020 0 Mar 13, 2020 0 Mar 14, 2020 0 Mar 15, 2020 0 Mar 16, 2020 0 Mar 17, 2020 0 Mar 18, 2020 0 Mar 19, 2020 0 Mar 20, 2020 2 Mar 21, 2020 2 Mar 22, 2020 2 Mar 23, 2020 4 Mar 24, 2020 5 Mar 25, 2020 5 Mar 26, 2020 8 Mar 27, 2020 12 Mar 28, 2020 16 Mar 29, 2020 20 Mar 30, 2020 28 Mar 31, 2020 29 Apr 01, 2020 37 Apr 02, 2020 50 Apr 03, 2020 60 Apr 04, 2020 79 Apr 05, 2020 94 Apr 06, 2020 125 Apr 07, 2020 141 Apr 08, 2020 174 Apr 09, 2020 194 Apr 10, 2020 233 Apr 11, 2020 273 Apr 12, 2020 296 Apr 13, 2020 332 Apr 14, 2020 406 Apr 15, 2020 449 Apr 16, 2020 486 Apr 17, 2020 546 Apr 18, 2020 650 Apr 19, 2020 686 Apr 20, 2020 712 Apr 21, 2020 857 Apr 22, 2020 970 Apr 23, 2020 1069 Apr 24, 2020 1221 Apr 25, 2020 1305 Apr 26, 2020 1351 Apr 27, 2020 1434 Apr 28, 2020 1569 Apr 29, 2020 1732 Apr 30, 2020 1859 May 01, 2020 1972 May 02, 2020 2061 May 03, 2020 2154 May 04, 2020 2271 May 05, 2020 2507 May 06, 2020 2704 May 07, 2020 2961 May 08, 2020 3160 May 09, 2020 3353 May 10, 2020 3465 May 11, 2020 3573 May 12, 2020 3926 May 13, 2020 4220 May 14, 2020 4477 May 15, 2020 4767 May 16, 2020 5045 May 17, 2020 5177 May 18, 2020 5332 May 19, 2020 5666 May 20, 2020 6090 May 21, 2020 6510 May 22, 2020 6989 May 23, 2020 7179 May 24, 2020 7394 May 25, 2020 7633 May 26, 2020 8134 May 27, 2020 8597 May 28, 2020 9044 May 29, 2020 9415 May 30, 2020 9779 May 31, 2020 9930 Jun 01, 2020 10167 Jun 02, 2020 10637 Jun 03, 2020 11728 Jun 04, 2020 12545 Jun 05, 2020 13170 Jun 06, 2020 13511 Jun 07, 2020 13699 Jun 08, 2020 14053 Jun 09, 2020 14649 Jun 10, 2020 15357 Jun 11, 2020 15944 Jun 12, 2020 16448 Jun 13, 2020 16872 Jun 14, 2020 17141 Jun 15, 2020 17580 Jun 16, 2020 18310 Jun 17, 2020 19080 Jun 18, 2020 19747 Jun 19, 2020 20394 Jun 20, 2020 20781 Jun 21, 2020 21825 Jun 22, 2020 22584 Jun 23, 2020 23377 Jun 24, 2020 24342 Jun 25, 2020 25060 Jun 26, 2020 25779 Jun 27, 2020 26381 Jun 28, 2020 26648 Jun 29, 2020 27121 Jun 30, 2020 27769 Jul 01, 2020 28510 Jul 02, 2020 29189 Jul 03, 2020 29843 Jul 04, 2020 30366 Jul 05, 2020 30639 Jul 06, 2020 31119 Jul 07, 2020 32014 Jul 08, 2020 32796 Jul 09, 2020 33526 Jul 10, 2020 34191 Jul 11, 2020 34730 Jul 12, 2020 35006 Jul 13, 2020 35449 Jul 14, 2020 36327 Jul 15, 2020 36906 Jul 16, 2020 37574 Jul 17, 2020 38310 Jul 18, 2020 38888 Jul 19, 2020 39184 Jul 20, 2020 39485 Jul 21, 2020 40400 Jul 22, 2020 41190 Jul 23, 2020 41908 Jul 24, 2020 42645 Jul 25, 2020 43374 Jul 26, 2020 43680 Jul 27, 2020 44022 Jul 28, 2020 44876 Jul 29, 2020 45361 Jul 30, 2020 46000 Jul 31, 2020 46688 Aug 01, 2020 47472 Aug 02, 2020 47746 Aug 03, 2020 48012 Aug 04, 2020 48869 Aug 05, 2020 49698 Aug 06, 2020 50517 Aug 07, 2020 51311 Aug 08, 2020 52006 Aug 09, 2020 52298 Aug 10, 2020 53003 Aug 11, 2020 53929 Aug 12, 2020 54666 Aug 13, 2020 55293 Aug 14, 2020 55908 Aug 15, 2020 56543 Aug 16, 2020 56757 Aug 17, 2020 57023 Aug 18, 2020 57774 Aug 19, 2020 58481 Aug 20, 2020 59106 Aug 21, 2020 59610 Aug 22, 2020 60254 Aug 23, 2020 60480 Aug 24, 2020 60800 Aug 25, 2020 61450 Aug 26, 2020 62076 Aug 27, 2020 62594 Aug 28, 2020 63146 Aug 29, 2020 63819 Aug 30, 2020 64158 Aug 31, 2020 64414 Sep 01, 2020 65241 Sep 02, 2020 65816 Sep 03, 2020 66329 Sep 04, 2020 66851 Sep 05, 2020 67554 Sep 06, 2020 67558 Sep 07, 2020 67781 Sep 08, 2020 68484 Sep 09, 2020 69095 Sep 10, 2020 69649 Sep 11, 2020 70183 Sep 12, 2020 70604 Sep 13, 2020 70821 Sep 14, 2020 71049 Sep 15, 2020 71678 Sep 16, 2020 71978 Sep 17, 2020 72179 Sep 18, 2020 72803 Sep 19, 2020 73258 Sep 20, 2020 73493 Sep 21, 2020 73697 Sep 22, 2020 74348 Sep 23, 2020 74949 Sep 24, 2020 75439 Sep 25, 2020 75844 Sep 26, 2020 76243 Sep 27, 2020 76430 Sep 28, 2020 76603 Sep 29, 2020 77163 Sep 30, 2020 77646 Oct 01, 2020 78078 Oct 02, 2020 78492 Oct 03, 2020 78880 Oct 04, 2020 79088 Oct 05, 2020 79268 Oct 06, 2020 79714 Oct 07, 2020 80083 Oct 08, 2020 83096 Oct 09, 2020 83507 Oct 10, 2020 83642 Oct 11, 2020 83642 Oct 12, 2020 83945 Oct 13, 2020 84420 Oct 14, 2020 84898 Oct 15, 2020 85285 Oct 16, 2020 85704 Oct 17, 2020 86059 Oct 18, 2020 86167 Oct 19, 2020 86338 Oct 20, 2020 86893 Oct 21, 2020 87415 Oct 22, 2020 87894 Oct 23, 2020 88312 Oct 24, 2020 88743 Oct 25, 2020 88924 Oct 26, 2020 89171 Oct 27, 2020 89814 Oct 28, 2020 90309 Oct 29, 2020 90773 Oct 30, 2020 91289 Oct 31, 2020 91753 Nov 01, 2020 91895 Nov 02, 2020 92100 Nov 03, 2020 92593 Nov 04, 2020 93228 Nov 05, 2020 93772 Nov 06, 2020 94323 Nov 07, 2020 94808 Nov 08, 2020 95027 Nov 09, 2020 95225 Nov 10, 2020 95842 Nov 11, 2020 96430 Nov 12, 2020 97056 Nov 13, 2020 97624 Nov 14, 2020 98259 Nov 15, 2020 98542 Nov 16, 2020 98861 Nov 17, 2020 99026 Nov 18, 2020 99528 Nov 19, 2020 100104 Nov 20, 2020 100823 Nov 21, 2020 101373 Nov 22, 2020 101676 Nov 23, 2020 101926 Nov 24, 2020 102739 Nov 25, 2020 103597 Nov 26, 2020 104242 Nov 27, 2020 104242 Nov 28, 2020 105459 Nov 29, 2020 105655 Nov 30, 2020 105940 Dec 01, 2020 106765 Dec 02, 2020 107565 Dec 03, 2020 108173 Dec 04, 2020 108863 Dec 05, 2020 109456 Dec 06, 2020 109717 Dec 07, 2020 110074 Dec 08, 2020 110874 Dec 09, 2020 111655 Dec 10, 2020 112326 Dec 11, 2020 113019 Dec 12, 2020 113704 Dec 13, 2020 113953'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2763.png,"'Percentage of homicides by firearm in the United States from 2006 to 2019 <s> Response Percentage of homicides Dec 31, 2005 0.6777 Dec 31, 2006 0.6791 Dec 31, 2007 0.6699 Dec 31, 2008 0.6689 Dec 31, 2009 0.6752 Dec 31, 2010 0.6763 Dec 31, 2011 0.6903 Dec 31, 2012 0.69 Dec 31, 2013 0.6355 Dec 31, 2014 0.6603 Dec 31, 2015 0.6772 Dec 31, 2016 0.7243 Dec 31, 2017 0.723 Dec 31, 2018 0.7366'. It's a correct data table transferred from the image.","'Child mortality rate (under five years old) in the United States , from 1800 to 2020 <s> Year Deaths per 1,000 live births Dec 31, 1799 462.89 Dec 31, 1804 462.31 Dec 31, 1809 461.35 Dec 31, 1814 459.34 Dec 31, 1819 456.65 Dec 31, 1824 452.68 Dec 31, 1829 447.87 Dec 31, 1834 440.01 Dec 31, 1839 430.12 Dec 31, 1844 416.08 Dec 31, 1849 399.27 Dec 31, 1854 374.17 Dec 31, 1859 343.53 Dec 31, 1864 325.74 Dec 31, 1869 316.5 Dec 31, 1874 325.81 Dec 31, 1879 347.49 Dec 31, 1884 327.29 Dec 31, 1889 281.68 Dec 31, 1894 256.72 Dec 31, 1899 238.76 Dec 31, 1904 220.32 Dec 31, 1909 206.92 Dec 31, 1914 179.99 Dec 31, 1919 184.93 Dec 31, 1924 139.79 Dec 31, 1929 102.86 Dec 31, 1934 75.93 Dec 31, 1939 66.35 Dec 31, 1944 51.26 Dec 31, 1949 40.11 Dec 31, 1954 35 Dec 31, 1959 31 Dec 31, 1964 29 Dec 31, 1969 26 Dec 31, 1974 21 Dec 31, 1979 17 Dec 31, 1984 14 Dec 31, 1989 12 Dec 31, 1994 10 Dec 31, 1999 9 Dec 31, 2004 8 Dec 31, 2009 8 Dec 31, 2014 7 Dec 31, 2019 7'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6171.png,'NFL players ranked by salary and endorsement income in 2020 (in million U.S. dollars) <s> Endorsements highest-paid NFL players 0.75 Joey Bosa 4 Carson Wentz 2.5 Kirk Cousins 8 Dak Prescott 14 Drew Brees 0.3 Ryan Tannehill 8 Deshaun Watson 12 Tom Brady 2 Jared Goff 9 Aaron Rodgers'. It's a correct data table transferred from the image.,"'The more endorsements a player has the greater the sallery,.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-313.png,'Revenue of the New Jersey Devils from 2005/06 to 2018/19 (in million U.S. dollars) <s> Year Revenue in million U.S. dollars 2018/19 181 2017/18 166 2016/17 137 2015/16 126 2014/15 125 2013/14 111 2012/13* 78 2011/12 122 2010/11 100 2009/10 104 2008/09 97 2007/08 97 2006/07 65 2005/06 62'. It's a correct data table transferred from the image.,"'Number of households in Denmark from 2010 to 2020 , by type of household <s> Year Other couples Dec 31, 2009 288724 Dec 31, 2010 291645 Dec 31, 2011 297272 Dec 31, 2012 301285 Dec 31, 2013 307746 Dec 31, 2014 313327 Dec 31, 2015 321748 Dec 31, 2016 329967 Dec 31, 2017 335335 Dec 31, 2018 338268 Dec 31, 2019 341985'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3177.png,'Stress symptoms during the past month reported by U.S. teeneagers in 2013 <s> Response Percentage of respondents Feeling irritable or angry 0.4 Feeling nervous or anxious 0.36 Fatigue/feeling tired 0.36 Lying awake at night 0.35 Headaches 0.32 Feeling as though I could cry 0.32 Feeling overwhelmed 0.31 Feeling depressed or sad 0.3 Changes in sleeping habits 0.26 Skipping a meal 0.23 Upset stomach or indigestion 0.21'. It's a correct data table transferred from the image.,"'More teenagers seemed to experience emotional and mental stress symptoms, while fewer experienced physical symptoms.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4470.png,'Total number of public primary schools in France from 2005 to 2018 <s> Number of public schools Year 44902 2018* 45401 2017 45877 2016 46435 2015 46962 2014 47306 2013 47672 2012 48139 2011 48522 2010 48975 2009 49498 2008 49928 2007 50668 2005'. It's a correct data table transferred from the image.,"'The number of public schools has decreased by around 5,000 from 2005 to 2018. The number of schools has decreased in a steady manner with each year showing a similar decrease in the total number of schools.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1439.png,'Apparent steel consumption per capita in Mexico from 2003 to 2018 (in kilograms of finished steel products) <s> Year Per capita use in kilograms 2018 194.4 2017 204.8 2016 199.8 2015 197.6 2014 189 2013 167.9 2012* 173.1 2011 166.3 2010 149.7 2009 129.9 2008 154.3 2007 164 2006 158.9 2005 143.9 2004 152.6 2003 144'. It's a correct data table transferred from the image.,"'Here a is a bar diagram called Apparent steel consumption per capita in Mexico from 2003 to 2018 (in kilograms of finished steel products). A linear scale from 2003 to 2018 can be seen along the x-axis, marked Year. A linear scale from 0 to 200 can be found on the y-axis, labeled Per capita use in kilograms.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3877.png,"'Rate of prevalent cases of end-stage renal disease (ESRD) in the U.S. from 1980 to 2016 (per million population) <s> Year Number of cases per million population Dec 31, 1979 65.3 Dec 31, 1980 83.1 Dec 31, 1981 101.3 Dec 31, 1982 123.1 Dec 31, 1983 148.9 Dec 31, 1984 178.6 Dec 31, 1985 217 Dec 31, 1986 259.7 Dec 31, 1987 329.6 Dec 31, 1988 407 Dec 31, 1989 461.7 Dec 31, 1990 515.8 Dec 31, 1991 581.2 Dec 31, 1992 637.7 Dec 31, 1993 704.2 Dec 31, 1994 847.6 Dec 31, 1995 1004.3 Dec 31, 1996 1132 Dec 31, 1997 1244.1 Dec 31, 1998 1333.8 Dec 31, 1999 1410.6 Dec 31, 2000 1474.2 Dec 31, 2001 1526.8 Dec 31, 2002 1571.3 Dec 31, 2003 1610.2 Dec 31, 2004 1647.3 Dec 31, 2005 1686.8 Dec 31, 2006 1721.5 Dec 31, 2007 1756.4 Dec 31, 2008 1794.1 Dec 31, 2009 1829 Dec 31, 2010 1855.1 Dec 31, 2011 1844.1 Dec 31, 2012 1916.7 Dec 31, 2013 1948.2 Dec 31, 2014 1979.1 Dec 31, 2015 1998.3'. It's a correct data table transferred from the image.","'The number of cases of ESRD has quickly, and fairly linearly, increased between 1980 and 2016. The number of cases has gone from less than 100 per million population (PMP) to 2,000 PMP, an increase of approximately 1900%.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8043.png,"'Average daily cigarette consumption in Great Britain from 2000 to 2016 , by gender (in cigarettes per day) <s> Year Men Dec 31, 1999 15 Dec 31, 2000 15 Dec 31, 2001 15 Dec 31, 2002 15 Dec 31, 2003 15 Dec 31, 2004 14 Dec 31, 2005 15 Dec 31, 2006 14 Dec 31, 2007 14 Dec 31, 2008 14 Dec 31, 2009 14 Dec 31, 2010 13 Dec 31, 2011 12 Dec 31, 2012 13 Dec 31, 2013 12 Dec 31, 2014 12 Dec 31, 2015 12'. It's a correct data table transferred from the image.","'Leading male Italian golfers as of October 11 , 2020 , by OWRG score <s> Leading male Italian golfers Events Played Francesco Molinari 40 Renato Paratore 52 Guido Migliozzi 47 Francesco Laporta 46 Andrea Pavan 52 Lorenzo Gagli 50 Nino Bertasio 48 Edoardo Molinari 52 Lorenzo Fillippo Scalise 44 Edoardo Raffaele Lipparelli 40'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7583.png,"'Number of visitors to destinations which featured in select screen products before and after the film/TV series release (in thousands) as of 2011 <s> After release Title/location/years 1500 Tomb Raider, Angkor, Cambodia (visitors in 1999 and 2011) 1200 Heartbeat, Goathland, England (visitors in 1991 and 2009) 83 Alice in Wonderland, Anthony House, England (visitors in 2008 and 2011) 138.85 The Da Vinci Code, Rosslyn Chapel (visiotrs in 2002 and 2009) 69.98 Twilight, Forks, U.S. (visitors in 2008 and 2009) 126 Braveheart, National Wallace Monument, Scotland (visitors in 2007 and 2009) 91.43 Pride and Prejudice (TV version), Lyme Park, England (visitors in 1994 and 1995) 295 Winter Sonata, Nami Island, Korea (foreign visitors in 2003 and 2005) 360 Arn, Skaraborg; Sweden (visitors in1999 and 2009) 132 Harry Potter, Alnwick Castle, England 170 Captain Corelli's Mandolin, Kefalonia, Greece (passengers arriving on charter flights/year in 1993 and 2002) 103 Miss Potter, Hilltop Farm, England (visitors in 2006 and 2009) 2500 The Lord of the Rings, New Zealand (international visitors in 1999 and 2008) 550 Balamory, Tobermory, Scotland'. It's a correct data table transferred from the image.","'Export volume of cut flowers from Kenya between January 2019 and October 2020 (in 1,000 metric tons) <s> Month Export volume in thousand metric tons Dec 31, 2018 15.6 Jan 31, 2019 17.9 Feb 28, 2019 16.5 Mar 31, 2019 15.6 Apr 30, 2019 15.3 May 31, 2019 11.7 Jun 30, 2019 11.1 Jul 31, 2019 12.6 Aug 31, 2019 14.1 Sep 30, 2019 15.1 Oct 31, 2019 15.4 Nov 30, 2019 12.8 Dec 31, 2019 14.6 Jan 31, 2020 17.6 Feb 29, 2020 10.4 Mar 31, 2020 8 Apr 30, 2020 10.2 May 31, 2020 9.4 Jun 30, 2020 10.9 Jul 31, 2020 11.5 Aug 31, 2020 12.9 Sep 30, 2020 14.5'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8541.png,"'Global box office revenue from 2004 to 2019 , by region (in billion U.S. dollars) <s> Year Asia Pacific Dec 31, 2003 8.5 Dec 31, 2004 7.2 Dec 31, 2005 6.8 Dec 31, 2006 6.5 Dec 31, 2007 6.8 Dec 31, 2008 7.2 Dec 31, 2009 8.5 Dec 31, 2010 9 Dec 31, 2011 10.4 Dec 31, 2012 11.1 Dec 31, 2013 12.4 Dec 31, 2014 14.6 Dec 31, 2015 15.3 Dec 31, 2016 16.2 Dec 31, 2017 17.1 Dec 31, 2018 17.8'. It's a correct data table transferred from the image.",'Global revenue dropped from 8 billion US$ in 2004 hitting the lowest point of around 6.5 billion US$ in 2007. Global revenue rose steadily from 2007 until 2019 where revenue reached 20 billion US$.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2821.png,"'Total regular season home attendance of the NFL New York Jets franchise from 2006 to 2019 <s> Year Home attendance Dec 31, 2005 618568 Dec 31, 2006 616848 Dec 31, 2007 627856 Dec 31, 2008 616416 Dec 31, 2009 628768 Dec 31, 2010 631888 Dec 31, 2011 632704 Dec 31, 2012 615656 Dec 31, 2013 625280 Dec 31, 2014 625280 Dec 31, 2015 625280 Dec 31, 2016 620496 Dec 31, 2017 623856 Dec 31, 2018 628184'. It's a correct data table transferred from the image.","'Net income of Waste Management from FY 2010 to FY 2019 (in million U.S. dollars) <s> Year Net income in million U.S. dollars Dec 31, 2009 953 Dec 31, 2010 961 Dec 31, 2011 860 Dec 31, 2012 130 Dec 31, 2013 1338 Dec 31, 2014 752 Dec 31, 2015 1180 Dec 31, 2016 1949 Dec 31, 2017 1923 Dec 31, 2018 1670'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5425.png,"'Television revenue NCAA college basketball tournament from 1980 to 2013 (in million U.S. dollars) <s> Year Television revenue (in million U.S. dollars) Dec 31, 1979 8.86 Dec 31, 1980 10.32 Dec 31, 1981 14.63 Dec 31, 1982 16.88 Dec 31, 1983 20.14 Dec 31, 1984 28.33 Dec 31, 1985 33.03 Dec 31, 1986 36.64 Dec 31, 1987 57.79 Dec 31, 1988 57.16 Dec 31, 1989 63.51 Dec 31, 1990 112.44 Dec 31, 1991 120.06 Dec 31, 1992 129.06 Dec 31, 1993 137.06 Dec 31, 1994 166.2 Dec 31, 1995 178.3 Dec 31, 1996 188.4 Dec 31, 1997 200.9 Dec 31, 1998 213.8 Dec 31, 1999 227.7 Dec 31, 2000 242.1 Dec 31, 2001 272.78 Dec 31, 2002 370.04 Dec 31, 2003 400 Dec 31, 2004 432 Dec 31, 2005 453 Dec 31, 2006 503 Dec 31, 2007 543.8 Dec 31, 2008 571 Dec 31, 2009 633.8 Dec 31, 2010 653 Dec 31, 2011 670 Dec 31, 2012 684.3'. It's a correct data table transferred from the image.","'Value of premiums written on the United Kingdom (UK) insurance market from 2009 to 2025 , by major classes of business (in million GBP) <s> General liability Year 7108 2025* 6699 2024* 6314 2023* 5951 2022* 5609 2021* 5286 2020* 5075 2019* 4873 2018* 4679 2017* 4499 2016* 4339 2015* 4188 2014* 4012 2013 4458 2012 4485 2011 4568 2010 4635 2009'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6955.png,"'Number of Army national guard members by ethnic group in the United States from 1995 to 2010 (in 1,000s) <s> Year Black members Dec 31, 1994 59 Dec 31, 1999 55 Dec 31, 2000 55 Dec 31, 2001 54 Dec 31, 2002 52 Dec 31, 2003 50 Dec 31, 2004 46 Dec 31, 2005 47 Dec 31, 2006 47 Dec 31, 2007 49 Dec 31, 2008 47 Dec 31, 2009 48'. It's a correct data table transferred from the image.","'Annual number of doctors licensed to practice in Austria from 2000 to 2017 (per 1,000 people) <s> Year Number of doctors per 1,000 people Dec 31, 1999 3.85 Dec 31, 2000 3.96 Dec 31, 2001 4.03 Dec 31, 2002 4.11 Dec 31, 2003 4.2 Dec 31, 2004 4.32 Dec 31, 2005 4.45 Dec 31, 2006 4.54 Dec 31, 2007 4.6 Dec 31, 2008 4.69 Dec 31, 2009 4.8 Dec 31, 2010 4.84 Dec 31, 2011 4.9 Dec 31, 2012 4.99 Dec 31, 2013 5.05 Dec 31, 2014 5.09 Dec 31, 2015 5.13 Dec 31, 2016 5.18'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4052.png,'Net sales growth of the world 's leading 10 consumer products companies in 2013 <s> Company (Country of origin) Net sales growth Samsung Electronics (South Korea) 0.137 Apple (United States) 0.092 Nestlé (Switzerland) 0.027 Procter & Gamble (United States) −0.013 Sony (Japan) 0.174 PepsiCo (United States) 0.014 Unilever (Netherlands and U.K.) −0.03 LG Electronics 0.141 The Coca-Cola Company (United States) −0.024 JBS S.A. (Brazil) 0.227'. It's a correct data table transferred from the image.,'Technology sales growth is typically higher than those of other types.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7002.png,"'Number of passenger cars registered in Spain between 2015 and 2019 , by autonomous community <s> 2015 autonomous community of Spain 114660 Andalusia 23046 Aragon 16177 Asturias 31743 Balearic Islands 38001 Basque Country 47664 Canary Islands 9836 Cantabria 33630 Castile and Leon 31762 Castile-La Mancha 163822 Catalonia 2087 Ceuta & Melilla 323513 Community of Madrid 12523 Extremadura 39383 Galicia 4882 La Rioja 22335 Murcia 10791 Navarre 115421 Region of Valencia'. It's a correct data table transferred from the image.",'The Community of Madrid has the most passenger cars registered than anywhere else in Spain. The least amount of passenger cars were registered in Ceuta & Melilla.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7947.png,"'Would you consider yourself pro-choice or pro-life ? <s> Response Pro-choice May 02, 2004 0.49 May 02, 2005 0.48 May 03, 2006 0.45 May 03, 2006 0.41 May 02, 2007 0.45 May 03, 2007 0.49 May 05, 2007 0.48 May 04, 2008 0.47 May 05, 2008 0.49 May 01, 2010 0.48 May 06, 2010 0.5 May 07, 2010 0.42 May 08, 2011 0.51 May 08, 2011 0.5 May 08, 2011 0.47 May 01, 2012 0.46 May 10, 2013 0.49'. It's a correct data table transferred from the image.",'The Bahamas : Total population from 2015 to 2025 (in million inhabitants) <s> Year Inhabitants in millions 2025* 0.41 2024* 0.4 2023* 0.4 2022* 0.39 2021* 0.39 2020* 0.39 2019* 0.38 2018 0.38 2017 0.37 2016 0.37 2015 0.36'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6775.png,"'Slovenia : Share of economic sectors in the gross domestic product (GDP) from 2009 to 2019 <s> Year Industry Dec 31, 2008 0.2737 Dec 31, 2009 0.2651 Dec 31, 2010 0.2681 Dec 31, 2011 0.2739 Dec 31, 2012 0.2749 Dec 31, 2013 0.2814 Dec 31, 2014 0.2803 Dec 31, 2015 0.2799 Dec 31, 2016 0.2842 Dec 31, 2017 0.2843 Dec 31, 2018 0.284'. It's a correct data table transferred from the image.","'From 2009 to 2019, the GDP only increases slightly with minor fluctuations. The minimum appears in 2010. The maximum appears in 2019.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7016.png,"'Monthly sales of cookies , confectionery and snack foods at large retailers in Canada from January 2015 to April 2019 (in million Canadian dollars) <s> 2016 Month 480.22 Dec 352.24 Nov 392.5 Oct 318.03 Sep 280.86 Aug 294.04 Jul 282.58 Jun 291.21 May 397.08 Apr 364.69 Mar 284.92 Feb 275.38 Jan'. It's a correct data table transferred from the image.","'This bar graph is titled Monthly sales of cookies , confectionery and snack foods at large retailers in Canada from January 2015 to April 2019 (in million Canadian dollars). The y-axis measures Month with categorical scale with Apr on one end and Sep at the other while the x-axis plots 2016 using linear scale of range 0 to 500.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8202.png,"'What is your overall opinion of Israel and the Palestinian Authority ? <s> Response Favorable opinion of Israel Dec 31, 1999 0.54 Dec 31, 2000 0.63 Dec 31, 2001 0.58 Dec 31, 2002 0.64 Dec 31, 2003 0.59 Dec 31, 2004 0.69 Dec 31, 2005 0.68 Dec 31, 2006 0.63 Dec 31, 2007 0.71 Dec 31, 2008 0.63 Dec 31, 2009 0.67 Dec 31, 2010 0.68 Dec 31, 2011 0.71'. It's a correct data table transferred from the image.",'South Africa : National debt in relation to gross domestic product (GDP) from 2015 to 2025 <s> National debt in relation to GDP Year 0.8517 2025* 0.8692 2024* 0.8728 2023* 0.8568 2022* 0.8276 2021* 0.7882 2020* 0.6215 2019 0.5671 2018 0.5302 2017 0.5147 2016 0.4934 2015'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1911.png,"'Annual expenditure at hairdressing salons and personal grooming establishments in the United Kingdom (UK) from 2005 to 2019 , based on volume (in million GBP) <s> Year Expenditure in million GBP Dec 31, 2004 6809 Dec 31, 2005 6840 Dec 31, 2006 6603 Dec 31, 2007 6509 Dec 31, 2008 6538 Dec 31, 2009 6926 Dec 31, 2010 6663 Dec 31, 2011 6651 Dec 31, 2012 6639 Dec 31, 2013 6627 Dec 31, 2014 6615 Dec 31, 2015 6603 Dec 31, 2016 6592 Dec 31, 2017 6580 Dec 31, 2018 6568'. It's a correct data table transferred from the image.","'Throughout 2005 to 2019 the average expenditure has stayed around the same - 6,700 to 7,000. There was a spike in expenditure in the year 2010 where it went from around 6,700 to 7,000 then back down to around 6,800 in the following year.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6991.png,"'Number of Facebook fans/twitter followers of the Pittsburgh Steelers (NFL) from 2012 to 2020 (in millions) <s> Month Twitter followers Jul 31, 2012 0.36 Jan 31, 2013 0.49 Jul 31, 2013 0.57 Jan 31, 2014 0.68 Jul 31, 2014 0.74 Jan 31, 2015 0.91 Jul 31, 2015 1.01 Jan 31, 2016 1.21 Jul 31, 2016 1.36 Jan 31, 2017 1.85 Jul 31, 2017 2.49 Jan 31, 2018 3.27 Jul 31, 2018 3.33 Jan 31, 2019 3.41 Jul 31, 2019 3.4 Jan 31, 2020 3.5 Jul 31, 2020 3.4'. It's a correct data table transferred from the image.","'From 2012 to 2014, followers increased by over 500k every two years before surging by approximately to more than 2 million more between 2017 and 2018, before slowing down to just a few hundred thousand between 2018 and 2020.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7550.png,'Share of population that walk or bicycle to meaningful destinations in selected countries in 2012 <s> All of the time country 0.28 Total (17 countries) 0.45 Germans 0.36 Brazilians 0.37 Japanese 0.37 Argentineans 0.31 French 0.25 Indians 0.25 South Koreans 0.32 Hungarians 0.34 Spanish 0.32 Swedes 0.3 British 0.25 Chinese 0.27 Mexicans 0.21 Australians 0.18 Russians 0.16 Canadians 0.12 U.S. Americans'. It's a correct data table transferred from the image.,'Share of population that walk or bicycle to meaningful destinations in selected countries in 2012 is a bar diagram. The y-axis shows country using categorical scale from Argentineans to U.S. Americans while the x-axis shows All of the time along linear scale of range 0.0 to 0.4.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4371.png,"'Average viewers of Overwatch on Twitch worldwide from January 2018 to November 2020 (in 1,000s) <s> Month Number of viewers in thousands Dec 31, 2017 43.83 Jan 31, 2018 39.82 Feb 28, 2018 43.08 Mar 31, 2018 44.51 Apr 30, 2018 42.46 May 31, 2018 32.12 Jun 30, 2018 34.24 Jul 31, 2018 31.05 Aug 31, 2018 28.59 Sep 30, 2018 21.76 Oct 31, 2018 31.01 Nov 30, 2018 22.71 Dec 31, 2018 30.27 Jan 31, 2019 35.18 Feb 28, 2019 35.71 Mar 31, 2019 39.71 Apr 30, 2019 33.21 May 31, 2019 42.7 Jun 30, 2019 39.32 Jul 31, 2019 47.15 Aug 31, 2019 30.37 Sep 30, 2019 14.66 Oct 31, 2019 22.31 Nov 30, 2019 18.92 Dec 31, 2019 19.48 Jan 31, 2020 22.02 Feb 29, 2020 20.96 Mar 31, 2020 19.04 Apr 30, 2020 19.94 May 31, 2020 21.33 Jun 30, 2020 23.34 Jul 31, 2020 17.24 Aug 31, 2020 18.03 Sep 30, 2020 17.01 Oct 31, 2020 16.79'. It's a correct data table transferred from the image.","'Share of households with internet access in Germany from 2007 to 2019 <s> Response Share of households Dec 31, 2006 0.71 Dec 31, 2007 0.75 Dec 31, 2008 0.79 Dec 31, 2009 0.82 Dec 31, 2010 0.83 Dec 31, 2011 0.85 Dec 31, 2012 0.88 Dec 31, 2013 0.89 Dec 31, 2014 0.9 Dec 31, 2015 0.92 Dec 31, 2016 0.93 Dec 31, 2017 0.94 Dec 31, 2018 0.95'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4533.png,"'Washington Football Team franchise value from 2002 to 2020 (in million U.S. dollars) <s> Year Franchise value in million U.S. dollars Dec 31, 2001 845 Dec 31, 2002 952 Dec 31, 2003 1104 Dec 31, 2004 1264 Dec 31, 2005 1423 Dec 31, 2006 1467 Dec 31, 2007 1538 Dec 31, 2008 1550 Dec 31, 2009 1550 Dec 31, 2010 1555 Dec 31, 2011 1600 Dec 31, 2012 1700 Dec 31, 2013 2400 Dec 31, 2014 2850 Dec 31, 2015 2950 Dec 31, 2016 3100 Dec 31, 2017 3100 Dec 31, 2018 3400 Dec 31, 2019 3500'. It's a correct data table transferred from the image.","'The franchise value of the Washington Football Team has increased by over 3 times in the 18 years recorded. There was a sharp jump around the years 2013-2015, when the value nearly doubled.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1983.png,"'Number of international tourist arrivals in India from 2010 to 2019 (in millions) <s> Year International tourist arrivals in millions Dec 31, 2009 5.78 Dec 31, 2010 6.31 Dec 31, 2011 6.58 Dec 31, 2012 6.97 Dec 31, 2013 13.11 Dec 31, 2014 13.77 Dec 31, 2015 15.02 Dec 31, 2016 16.81 Dec 31, 2017 17.42 Dec 31, 2018 17.91'. It's a correct data table transferred from the image.",'The number of tourists to India has almost quadrupled in the past 10 years.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2777.png,"'Income distribution inequality based on Gini coefficient in Latin America as of 2017 , by country <s> Gini coefficient Country 53.3 Brazil 50.5 Honduras 49.9 Panama 49.7 Colombia 48.8 Paraguay 48.3 Guatemala 48.3 Costa Rica 46.6 Chile 46.2 Nicaragua 45.7 Dominican Republic 44.7 Ecuador 44 Bolivia 43.4 Mexico 43.3 Peru 41.1 Haiti 40.6 Argentina 39.5 Uruguay 38 El Salvador'. It's a correct data table transferred from the image.",'Brazil has the highest gini coefficient number and El Salvador has the lowest.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7279.png,"'Algeria : Age structure from 2009 to 2019 <s> Year 15-64 years Dec 31, 2008 0.6726 Dec 31, 2009 0.6726 Dec 31, 2010 0.6702 Dec 31, 2011 0.6677 Dec 31, 2012 0.6645 Dec 31, 2013 0.66 Dec 31, 2014 0.6543 Dec 31, 2015 0.6486 Dec 31, 2016 0.6418 Dec 31, 2017 0.6349 Dec 31, 2018 0.629'. It's a correct data table transferred from the image.",'Algeria : Age structure from 2009 to 2019 is a area chart. The x-axis plots Year while the y-axis plots 15-64 years.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8312.png,'What activities have you done while boating ? <s> Boating activity Male Fishing from a boat 0.661 Cruising 0.573 Swimming 0.449 Entertaining 0.398 Sightseeing 0.325 Sunbathing 0.31 Nature observation 0.307 Quiet water paddling 0.241 Tubing 0.23 Water Skiing 0.197 Scuba Diving/Snorkeling 0.142 Wakeboarding 0.139 Kneeboarding 0.088 Whitewater paddling 0.08 Racing 0.058 Hunting from a boat 0.051 Other 0.044'. It's a correct data table transferred from the image.,"'What activities have you done while boating ? is a bar graph. There is a categorical scale with Cruising on one end and Whitewater paddling at the other along the x-axis, labeled Boating activity. There is a scale with a minimum of 0.0 and a maximum of 0.7 on the y-axis, marked Male.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7573.png,"'Share of votes in the Brexit referendum of 2016 in the United Kingdom , by region <s> region of the united kingdom Leave Scotland 0.38 London 0.401 Northern Ireland 0.442 South East 0.518 Wales 0.525 South West 0.526 North West 0.537 East 0.565 Yorkshire and the Humber 0.577 North East 0.58 East Midlands 0.588 West Midlands 0.593'. It's a correct data table transferred from the image.",'The region that had the highest number of votes for ‘Leave’ in 2016 was the West Midlands. The region that had the least amount of votes was Scotland.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5901.png,"'Value added of U.S. motor vehicle and parts manufacturing as a percentage of GDP between 2005 and 2017 <s> Year Value added as a percentage of GDP Dec 31, 2004 0.01 Dec 31, 2005 0.01 Dec 31, 2006 0.009 Dec 31, 2007 0.006 Dec 31, 2008 0.003 Dec 31, 2009 0.006 Dec 31, 2010 0.007 Dec 31, 2011 0.008 Dec 31, 2012 0.008 Dec 31, 2013 0.008 Dec 31, 2014 0.009 Dec 31, 2015 0.009 Dec 31, 2016 0.009'. It's a correct data table transferred from the image.","'The y-axis ranges from 0 to 0.010 percent of GDP, and from 2005 to 2007 the maximum value is charted. In 2009 the value dips to 0.003 percent of GDP before steadily increasing to 0.008 by 2012. Value plateaus from 2012 to 2014, increases to 0.009 by 2015 and remains constant through 2017. Overall value was lower from 2005 to 2017 with one sharp decrease in 2009.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3861.png,"'Average ticket price for Pittsburgh Steelers home games from 2006 to 2019 (in U.S. dollars) <s> Year Average ticket price in U.S. dollars Dec 31, 2005 59.19 Dec 31, 2006 65.94 Dec 31, 2007 67.47 Dec 31, 2008 67.47 Dec 31, 2009 74.32 Dec 31, 2010 74.32 Dec 31, 2011 74.32 Dec 31, 2012 81.13 Dec 31, 2013 83.97 Dec 31, 2014 83.97 Dec 31, 2015 93.56 Dec 31, 2017 104.6 Dec 31, 2018 104.6'. It's a correct data table transferred from the image.",'Over twelve years the ticket price has almost doubled but then it slowed down and stayed the same since 2018. The ticket price rose the most between 2015 and 2018.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3735.png,"'Liechtenstein : Gross domestic product (GDP) in current prices from 2007 to 2017 (in billion U.S. dollars) <s> Year Gross domestic product in billion U.S. dollars Dec 31, 2006 4.6 Dec 31, 2007 5.08 Dec 31, 2008 4.5 Dec 31, 2009 5.08 Dec 31, 2010 5.74 Dec 31, 2011 5.46 Dec 31, 2012 6.39 Dec 31, 2013 6.66 Dec 31, 2014 6.27 Dec 31, 2015 6.24 Dec 31, 2016 6.55'. It's a correct data table transferred from the image.",'Monthly youth (16 - 24) unemployment rate in the United States from November 2019 to November 2020 (seasonally adjusted) <s> Unemployment rate Month 0.115 Nov '20 0.117 Oct '20 0.135 Sep '20 0.147 Aug '20 0.186 Jul '20 0.207 Jun '20 0.252 May '20 0.274 Apr '20 0.103 Mar '20 0.077 Feb '20 0.082 Jan '20 0.081 Dec '19 0.08 Nov '19'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7333.png,"'France : Distribution of gross domestic product (GDP) across economic sectors from 2009 to 2019 <s> Year Industry Dec 31, 2008 0.183 Dec 31, 2009 0.1785 Dec 31, 2010 0.1798 Dec 31, 2011 0.1787 Dec 31, 2012 0.1797 Dec 31, 2013 0.1775 Dec 31, 2014 0.1768 Dec 31, 2015 0.1743 Dec 31, 2016 0.1724 Dec 31, 2017 0.1707 Dec 31, 2018 0.1714'. It's a correct data table transferred from the image.",'Average spending of adults in the United States on selected sharing companies or services as of January 2016 (in U.S. dollars) <s> company or service Average amunt spent in U.S. dollars AirBnB 114 Task Rabbit* 83 Instacart* 65 DogVacay* 42 Turo* 39 Etsy 37 Post Mates* 34 Uber 32 Lyft 24 Shyp* 12'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1283.png,"'Leading BBC Radio stations ranked by weekly reach in the United Kingdom (UK) as of 1st quarter 2020 (in 1,000 listeners) <s> Listeners reached in thousands* radio station 14362 BBC Radio 2 11105 BBC Radio 4 8915 BBC Radio 1 5219 BBC Radio 5 live 2556 BBC 6 Music 1983 BBC Radio 4 Extra 1980 BBC Radio 3 1346 BBC World Service 986 1Xtra from the BBC 601 BBC Radio 5 live sports extra'. It's a correct data table transferred from the image.",'BBC radio 2 was found to have the most following with the most amount of people tuning in.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3140.png,'Top goal scorers for Arsenal F.C . as of July 2020 <s> Goal scorer Goals scored Thierry Henry 228 Ian Wright 149 Robin van Persie 132 Dennis Bergkamp 109 Theo Walcott 108 Olivier Giroud 105 Robert Pirès 85 Alexis Sánchez 80 Freddie Ljungberg 71 Pierre-Emerick Aubameyang 68'. It's a correct data table transferred from the image.,'Top goal scorers for Arsenal F.C . as of July 2020 is a bar diagram. The y-axis plots Goals scored while the x-axis measures Goal scorer.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4264.png,"'Number of car sharing vehicles in Europe in 2014 , by country <s> Country Number of vehicles Germany 13950 France 3900 United Kingdom 3000 Switzerland 2650 Netherlands 2300 Italy 1800 Austria 900 Sweden 900 Belgium 570 Denmark 330 Norway 320 Spain 300'. It's a correct data table transferred from the image.",'Cut-off point for private wealth value of the richest one percent of selected European countries population as of 2014 (in euros) <s> Wealth value in euros Country 2684200 Luxembourg 2287900 Cyprus 1602600 Greece 1555300 France 1490000 European average 1478400 Austria 1372300 United Kingdom 1280900 Finland 1247700 Switzerland 1183400 Germany 929000 Slovakia 879900 Belgium 712800 Italy 569100 Netherlands 558700 Portugal 476600 Slovenia 227700 Spain'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2103.png,"'Zinc production value in Canada in 2019 , by province (in 1,000 Canadian dollars) <s> Production in 1,000 Canadian dollars province of Canada 0 Newfoundland and Labrador 0 Prince Edward Island 0 Nova Scotia 142750 New Brunswick 246073 Quebec 231189 Ontario 381257 Manitoba 0 Saskatchewan 0 Alberta 30092 British Columbia 0 Yukon 0 Northwest Territories 0 Nunavut'. It's a correct data table transferred from the image.","'Here a bar diagram is titled Zinc production value in Canada in 2019 , by province (in 1,000 Canadian dollars). The y-axis shows province of Canada while the x-axis plots Production in 1,000 Canadian dollars.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6344.png,"'Average daily time spent watching TV per individual in the United Kingdom from 2010 to 2019 , by gender (in minutes) <s> Year Women Dec 31, 2009 259 Dec 31, 2010 258 Dec 31, 2011 255 Dec 31, 2012 247 Dec 31, 2013 235 Dec 31, 2014 232 Dec 31, 2015 227 Dec 31, 2016 220 Dec 31, 2017 207 Dec 31, 2018 196'. It's a correct data table transferred from the image.","'Total spending of Barack Obama and Mitt Romney in the 2012 elections as of October 2012 , by major category (in million U.S. dollars) <s> spending major category Obama Advertising 457.6 Mail 85.5 Payroll 95.1 Fundraising 81.8 Administration 45.8 Travel 24.1 Polling 27.8 Consult. 12 Lists 16.3 Events 13.9'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6361.png,"'Most popular movie genres among adults in the United States as of December 2018 , by ethnicity <s> Response Hispanic Comedy 0.85 Adventure 0.84 Action 0.87 Drama 0.77 Thriller/mystery 0.77 Crime 0.81 Documentary 0.71 Romantic comedy 0.66 Live-action 0.68 Animated 0.76 Fantasy 0.7 Sci-fi 0.66 Romance 0.62 Musicals 0.49 Horror 0.65'. It's a correct data table transferred from the image.","'Liechtenstein : Gross domestic product (GDP) in current prices from 2007 to 2017 (in billion U.S. dollars) <s> Year Gross domestic product in billion U.S. dollars Dec 31, 2006 4.6 Dec 31, 2007 5.08 Dec 31, 2008 4.5 Dec 31, 2009 5.08 Dec 31, 2010 5.74 Dec 31, 2011 5.46 Dec 31, 2012 6.39 Dec 31, 2013 6.66 Dec 31, 2014 6.27 Dec 31, 2015 6.24 Dec 31, 2016 6.55'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5651.png,"'American Customer Satisfaction Index scores for full-service restaurants in the United States from 2007 to 2020 <s> Year ACSI score Dec 31, 2006 81 Dec 31, 2007 80 Dec 31, 2008 84 Dec 31, 2009 81 Dec 31, 2010 82 Dec 31, 2011 80 Dec 31, 2012 81 Dec 31, 2013 82 Dec 31, 2014 82 Dec 31, 2015 81 Dec 31, 2016 78 Dec 31, 2017 81 Dec 31, 2018 81 Dec 31, 2019 79'. It's a correct data table transferred from the image.","'Leading value retail centres in the United Kingdom (UK) in 2013 , ranked by number of stores <s> Leading value retail centres Number of stores Blackpool 314 Doncaster 288 Huddersfield 266 Romford 224 Burton-upon-Trent 224 Southport 220 Sunderland 220 Wakefield 206 Newport 205 Bradford 200'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-787.png,"'Number of Vauxhall Insignia passenger cars registered for the first time in Great Britain from 2009 to 2019 (in 1,000) <s> Year Number of new registrations in thousands Dec 31, 2008 35.3 Dec 31, 2009 36.3 Dec 31, 2010 45.1 Dec 31, 2011 31.7 Dec 31, 2012 28 Dec 31, 2013 30.6 Dec 31, 2014 32.9 Dec 31, 2015 24.7 Dec 31, 2016 16.7 Dec 31, 2017 13.4 Dec 31, 2018 8.2'. It's a correct data table transferred from the image.",'The number of Vauxhall insignias registered was trending downwards from 2015 to 2019. The number of registrations peaked at more than 40000 in 2013. The number of registrations in 2019 was less than 10000.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2059.png,"'Number of Toyota Hilux registered light goods vehicles in Great Britain between 2000 and 2018 <s> Year Number of registered vehicles Dec 31, 1999 35295 Dec 31, 2000 36228 Dec 31, 2001 38275 Dec 31, 2002 40087 Dec 31, 2003 42610 Dec 31, 2004 43272 Dec 31, 2005 43837 Dec 31, 2006 46384 Dec 31, 2007 47199 Dec 31, 2008 47248 Dec 31, 2009 48902 Dec 31, 2010 51236 Dec 31, 2011 53761 Dec 31, 2012 57104 Dec 31, 2013 61053 Dec 31, 2014 65676 Dec 31, 2015 68445 Dec 31, 2016 70257 Dec 31, 2017 72037'. It's a correct data table transferred from the image.","'Net income of Waste Management from FY 2010 to FY 2019 (in million U.S. dollars) <s> Year Net income in million U.S. dollars Dec 31, 2009 953 Dec 31, 2010 961 Dec 31, 2011 860 Dec 31, 2012 130 Dec 31, 2013 1338 Dec 31, 2014 752 Dec 31, 2015 1180 Dec 31, 2016 1949 Dec 31, 2017 1923 Dec 31, 2018 1670'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7509.png,"'Ethiopia : Share of economic sectors in the gross domestic product (GDP) from 2009 to 2019 <s> Year Services Dec 31, 2008 0.3877 Dec 31, 2009 0.4176 Dec 31, 2010 0.4143 Dec 31, 2011 0.3858 Dec 31, 2012 0.3967 Dec 31, 2013 0.3989 Dec 31, 2014 0.3955 Dec 31, 2015 0.3672 Dec 31, 2016 0.3663 Dec 31, 2017 0.3641 Dec 31, 2018 0.3687'. It's a correct data table transferred from the image.","'Share of domestic product almost plateaus over the course of 2 years, from 2016 to 2018.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7189.png,"'Annual net revenue of Jumia Technologies AG from 2017 to 2019 , by segment (in million euros) <s> 2019 Jumia Technologies AG marketplace segment 81.2 1P sales of goods 25 Commissions 26.9 Fulfillment 6.1 Marketing & Advertising 20.5 Other services – value-added services 78.5 Total revenue related to third-party sales 159.6 Platform revenue (1P + 3P) 0.8 Other services – non-platform revenue'. It's a correct data table transferred from the image.","'This bar diagram is called Annual net revenue of Jumia Technologies AG from 2017 to 2019 , by segment (in million euros). A linear scale of range 0 to 150 can be seen on the x-axis, labeled 2019. Jumia Technologies AG marketplace segment is plotted on the y-axis.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6190.png,"'Number of confirmed cases and deaths of coronavirus (COVID-19) in Mexico from January 14 to December 14 , 2020 <s> Year Deaths Jan 13, 2020 0 Jan 14, 2020 0 Jan 15, 2020 0 Jan 16, 2020 0 Jan 17, 2020 0 Jan 18, 2020 0 Jan 19, 2020 0 Jan 20, 2020 0 Jan 21, 2020 0 Jan 22, 2020 0 Jan 23, 2020 0 Jan 24, 2020 0 Jan 25, 2020 0 Jan 26, 2020 0 Jan 27, 2020 0 Jan 28, 2020 0 Jan 29, 2020 0 Jan 30, 2020 0 Jan 31, 2020 0 Feb 01, 2020 0 Feb 02, 2020 0 Feb 03, 2020 0 Feb 04, 2020 0 Feb 05, 2020 0 Feb 06, 2020 0 Feb 07, 2020 0 Feb 08, 2020 0 Feb 09, 2020 0 Feb 10, 2020 0 Feb 11, 2020 0 Feb 12, 2020 0 Feb 13, 2020 0 Feb 14, 2020 0 Feb 15, 2020 0 Feb 16, 2020 0 Feb 17, 2020 0 Feb 18, 2020 0 Feb 19, 2020 0 Feb 20, 2020 0 Feb 21, 2020 0 Feb 22, 2020 0 Feb 23, 2020 0 Feb 24, 2020 0 Feb 25, 2020 0 Feb 26, 2020 0 Feb 27, 2020 0 Feb 28, 2020 0 Feb 29, 2020 0 Mar 01, 2020 0 Mar 02, 2020 0 Mar 03, 2020 0 Mar 04, 2020 0 Mar 05, 2020 0 Mar 06, 2020 0 Mar 07, 2020 0 Mar 08, 2020 0 Mar 09, 2020 0 Mar 10, 2020 0 Mar 11, 2020 0 Mar 12, 2020 0 Mar 13, 2020 0 Mar 14, 2020 0 Mar 15, 2020 0 Mar 16, 2020 0 Mar 17, 2020 0 Mar 18, 2020 0 Mar 19, 2020 0 Mar 20, 2020 2 Mar 21, 2020 2 Mar 22, 2020 2 Mar 23, 2020 4 Mar 24, 2020 5 Mar 25, 2020 5 Mar 26, 2020 8 Mar 27, 2020 12 Mar 28, 2020 16 Mar 29, 2020 20 Mar 30, 2020 28 Mar 31, 2020 29 Apr 01, 2020 37 Apr 02, 2020 50 Apr 03, 2020 60 Apr 04, 2020 79 Apr 05, 2020 94 Apr 06, 2020 125 Apr 07, 2020 141 Apr 08, 2020 174 Apr 09, 2020 194 Apr 10, 2020 233 Apr 11, 2020 273 Apr 12, 2020 296 Apr 13, 2020 332 Apr 14, 2020 406 Apr 15, 2020 449 Apr 16, 2020 486 Apr 17, 2020 546 Apr 18, 2020 650 Apr 19, 2020 686 Apr 20, 2020 712 Apr 21, 2020 857 Apr 22, 2020 970 Apr 23, 2020 1069 Apr 24, 2020 1221 Apr 25, 2020 1305 Apr 26, 2020 1351 Apr 27, 2020 1434 Apr 28, 2020 1569 Apr 29, 2020 1732 Apr 30, 2020 1859 May 01, 2020 1972 May 02, 2020 2061 May 03, 2020 2154 May 04, 2020 2271 May 05, 2020 2507 May 06, 2020 2704 May 07, 2020 2961 May 08, 2020 3160 May 09, 2020 3353 May 10, 2020 3465 May 11, 2020 3573 May 12, 2020 3926 May 13, 2020 4220 May 14, 2020 4477 May 15, 2020 4767 May 16, 2020 5045 May 17, 2020 5177 May 18, 2020 5332 May 19, 2020 5666 May 20, 2020 6090 May 21, 2020 6510 May 22, 2020 6989 May 23, 2020 7179 May 24, 2020 7394 May 25, 2020 7633 May 26, 2020 8134 May 27, 2020 8597 May 28, 2020 9044 May 29, 2020 9415 May 30, 2020 9779 May 31, 2020 9930 Jun 01, 2020 10167 Jun 02, 2020 10637 Jun 03, 2020 11728 Jun 04, 2020 12545 Jun 05, 2020 13170 Jun 06, 2020 13511 Jun 07, 2020 13699 Jun 08, 2020 14053 Jun 09, 2020 14649 Jun 10, 2020 15357 Jun 11, 2020 15944 Jun 12, 2020 16448 Jun 13, 2020 16872 Jun 14, 2020 17141 Jun 15, 2020 17580 Jun 16, 2020 18310 Jun 17, 2020 19080 Jun 18, 2020 19747 Jun 19, 2020 20394 Jun 20, 2020 20781 Jun 21, 2020 21825 Jun 22, 2020 22584 Jun 23, 2020 23377 Jun 24, 2020 24342 Jun 25, 2020 25060 Jun 26, 2020 25779 Jun 27, 2020 26381 Jun 28, 2020 26648 Jun 29, 2020 27121 Jun 30, 2020 27769 Jul 01, 2020 28510 Jul 02, 2020 29189 Jul 03, 2020 29843 Jul 04, 2020 30366 Jul 05, 2020 30639 Jul 06, 2020 31119 Jul 07, 2020 32014 Jul 08, 2020 32796 Jul 09, 2020 33526 Jul 10, 2020 34191 Jul 11, 2020 34730 Jul 12, 2020 35006 Jul 13, 2020 35449 Jul 14, 2020 36327 Jul 15, 2020 36906 Jul 16, 2020 37574 Jul 17, 2020 38310 Jul 18, 2020 38888 Jul 19, 2020 39184 Jul 20, 2020 39485 Jul 21, 2020 40400 Jul 22, 2020 41190 Jul 23, 2020 41908 Jul 24, 2020 42645 Jul 25, 2020 43374 Jul 26, 2020 43680 Jul 27, 2020 44022 Jul 28, 2020 44876 Jul 29, 2020 45361 Jul 30, 2020 46000 Jul 31, 2020 46688 Aug 01, 2020 47472 Aug 02, 2020 47746 Aug 03, 2020 48012 Aug 04, 2020 48869 Aug 05, 2020 49698 Aug 06, 2020 50517 Aug 07, 2020 51311 Aug 08, 2020 52006 Aug 09, 2020 52298 Aug 10, 2020 53003 Aug 11, 2020 53929 Aug 12, 2020 54666 Aug 13, 2020 55293 Aug 14, 2020 55908 Aug 15, 2020 56543 Aug 16, 2020 56757 Aug 17, 2020 57023 Aug 18, 2020 57774 Aug 19, 2020 58481 Aug 20, 2020 59106 Aug 21, 2020 59610 Aug 22, 2020 60254 Aug 23, 2020 60480 Aug 24, 2020 60800 Aug 25, 2020 61450 Aug 26, 2020 62076 Aug 27, 2020 62594 Aug 28, 2020 63146 Aug 29, 2020 63819 Aug 30, 2020 64158 Aug 31, 2020 64414 Sep 01, 2020 65241 Sep 02, 2020 65816 Sep 03, 2020 66329 Sep 04, 2020 66851 Sep 05, 2020 67554 Sep 06, 2020 67558 Sep 07, 2020 67781 Sep 08, 2020 68484 Sep 09, 2020 69095 Sep 10, 2020 69649 Sep 11, 2020 70183 Sep 12, 2020 70604 Sep 13, 2020 70821 Sep 14, 2020 71049 Sep 15, 2020 71678 Sep 16, 2020 71978 Sep 17, 2020 72179 Sep 18, 2020 72803 Sep 19, 2020 73258 Sep 20, 2020 73493 Sep 21, 2020 73697 Sep 22, 2020 74348 Sep 23, 2020 74949 Sep 24, 2020 75439 Sep 25, 2020 75844 Sep 26, 2020 76243 Sep 27, 2020 76430 Sep 28, 2020 76603 Sep 29, 2020 77163 Sep 30, 2020 77646 Oct 01, 2020 78078 Oct 02, 2020 78492 Oct 03, 2020 78880 Oct 04, 2020 79088 Oct 05, 2020 79268 Oct 06, 2020 79714 Oct 07, 2020 80083 Oct 08, 2020 83096 Oct 09, 2020 83507 Oct 10, 2020 83642 Oct 11, 2020 83642 Oct 12, 2020 83945 Oct 13, 2020 84420 Oct 14, 2020 84898 Oct 15, 2020 85285 Oct 16, 2020 85704 Oct 17, 2020 86059 Oct 18, 2020 86167 Oct 19, 2020 86338 Oct 20, 2020 86893 Oct 21, 2020 87415 Oct 22, 2020 87894 Oct 23, 2020 88312 Oct 24, 2020 88743 Oct 25, 2020 88924 Oct 26, 2020 89171 Oct 27, 2020 89814 Oct 28, 2020 90309 Oct 29, 2020 90773 Oct 30, 2020 91289 Oct 31, 2020 91753 Nov 01, 2020 91895 Nov 02, 2020 92100 Nov 03, 2020 92593 Nov 04, 2020 93228 Nov 05, 2020 93772 Nov 06, 2020 94323 Nov 07, 2020 94808 Nov 08, 2020 95027 Nov 09, 2020 95225 Nov 10, 2020 95842 Nov 11, 2020 96430 Nov 12, 2020 97056 Nov 13, 2020 97624 Nov 14, 2020 98259 Nov 15, 2020 98542 Nov 16, 2020 98861 Nov 17, 2020 99026 Nov 18, 2020 99528 Nov 19, 2020 100104 Nov 20, 2020 100823 Nov 21, 2020 101373 Nov 22, 2020 101676 Nov 23, 2020 101926 Nov 24, 2020 102739 Nov 25, 2020 103597 Nov 26, 2020 104242 Nov 27, 2020 104242 Nov 28, 2020 105459 Nov 29, 2020 105655 Nov 30, 2020 105940 Dec 01, 2020 106765 Dec 02, 2020 107565 Dec 03, 2020 108173 Dec 04, 2020 108863 Dec 05, 2020 109456 Dec 06, 2020 109717 Dec 07, 2020 110074 Dec 08, 2020 110874 Dec 09, 2020 111655 Dec 10, 2020 112326 Dec 11, 2020 113019 Dec 12, 2020 113704 Dec 13, 2020 113953'. It's a correct data table transferred from the image.",'The death amount increased dramatically after April and had a steep incline past October. The month data is not very specific and would be better if it mentioned every month.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-425.png,"'Canada : Degree of urbanization from 2009 to 2019 <s> Response Share of urban population Dec 31, 2008 0.8076 Dec 31, 2009 0.8094 Dec 31, 2010 0.811 Dec 31, 2011 0.8114 Dec 31, 2012 0.8118 Dec 31, 2013 0.8122 Dec 31, 2014 0.8126 Dec 31, 2015 0.813 Dec 31, 2016 0.8135 Dec 31, 2017 0.8141 Dec 31, 2018 0.8148'. It's a correct data table transferred from the image.","'Percentage of dedicated biotech companies in selected countries in 2014 , by application <s> Country Health New Zealand 0.299 Mexico 0.326 Korea 0.33 Portugal 0.331 Poland 0.348 Slovenia 0.422 Belgium 0.497 Germany 0.497 Estonia 0.52 Italy 0.556 Israel 0.602 Austria 0.664 Spain 0.703 United Kingdom 0.839'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2100.png,"'Annual expenditure on beer in the United Kingdom from 2005 to 2019 , based on volume (in million GBP) <s> Year Expenditure in million GBP Dec 31, 2004 4050 Dec 31, 2005 4418 Dec 31, 2006 4410 Dec 31, 2007 4418 Dec 31, 2008 4461 Dec 31, 2009 4340 Dec 31, 2010 4362 Dec 31, 2011 4209 Dec 31, 2012 4661 Dec 31, 2013 4647 Dec 31, 2014 4702 Dec 31, 2015 4565 Dec 31, 2016 4840 Dec 31, 2017 5228 Dec 31, 2018 5190'. It's a correct data table transferred from the image.","'Annual expenditure on beer in the United Kingdom from 2005 to 2019 , based on volume (in million GBP) is a line diagram. A linear scale from 0 to 5,000 can be found on the y-axis, labeled Expenditure in million GBP. On the x-axis, Year is defined on a linear scale of range 2006 to 2018.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1852.png,"'Most affected industries by the coronavirus (COVID-19) epidemic in Romania in the 2nd quarter of 2020 compared to the 1st quarter , by change in GDP <s> Quartely GDP forecast industry −0.104 Mining and Quarrying −0.674 Tourism and Hospitality −0.136 Administrative Services −0.071 Financial Services and Insurance −0.604 Culture, Arts and Other Services −0.022 Energy and Utilities −0.08 Education −0.013 Agriculture 0.147 Health Services −0.099 Professional and Scientific Services −0.039 Information and Communication 0.1 Public Administration and Defense −0.006 Construction −0.232 Transportation and Logistics −0.233 Real Estate Services −0.132 Light Industries −0.161 Commerce and Repair −0.291 Heavy Industries'. It's a correct data table transferred from the image.","'Most affected industries by the coronavirus (COVID-19) epidemic in Romania in the 2nd quarter of 2020 compared to the 1st quarter , by change in GDP is a bar diagram. The y-axis shows industry while the x-axis plots Quartely GDP forecast.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-37.png,"'Real value of U.S. fossil fuel imports from 1960 to 2011 (in billion U.S. dollars) <s> Year Real value in billion U.S. dollars Dec 31, 1959 8.91 Dec 31, 1969 12.34 Dec 31, 1979 164.75 Dec 31, 1989 88.32 Dec 31, 1994 70.64 Dec 31, 1999 151.95 Dec 31, 2004 287.52 Dec 31, 2005 320.57 Dec 31, 2006 340.29 Dec 31, 2007 449.64 Dec 31, 2008 245.23 Dec 31, 2009 317.29 Dec 31, 2010 399.43'. It's a correct data table transferred from the image.","'Public concern about the extinction of plant and animal species in the United States from 2000 to 2012 <s> Response Fair amount Dec 31, 1999 0.33 Dec 31, 2000 0.3 Dec 31, 2001 0.3 Dec 31, 2002 0.32 Dec 31, 2003 0.26 Dec 31, 2005 0.29 Dec 31, 2006 0.3 Dec 31, 2007 0.31 Dec 31, 2008 0.28 Dec 31, 2009 0.3 Dec 31, 2010 0.3 Dec 31, 2011 0.29'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3694.png,"'Leading value retail centres in the United Kingdom (UK) in 2013 , ranked by number of stores <s> Leading value retail centres Number of stores Blackpool 314 Doncaster 288 Huddersfield 266 Romford 224 Burton-upon-Trent 224 Southport 220 Sunderland 220 Wakefield 206 Newport 205 Bradford 200'. It's a correct data table transferred from the image.","'Here a bar chart is titled Leading value retail centres in the United Kingdom (UK) in 2013 , ranked by number of stores. Leading value retail centres is defined along the x-axis. On the y-axis, Number of stores is defined using a linear scale with a minimum of 0 and a maximum of 300.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-762.png,"'Pear production in the United States from 2000 to 2019 (in tons) <s> Year Production in tons Dec 31, 1999 993250 Dec 31, 2000 1026930 Dec 31, 2001 890020 Dec 31, 2002 934050 Dec 31, 2003 878260 Dec 31, 2004 823320 Dec 31, 2005 842035 Dec 31, 2006 872950 Dec 31, 2007 869850 Dec 31, 2008 957220 Dec 31, 2009 813600 Dec 31, 2010 965720 Dec 31, 2011 851240 Dec 31, 2012 877130 Dec 31, 2013 831610 Dec 31, 2014 816500 Dec 31, 2015 738700 Dec 31, 2016 737450 Dec 31, 2017 805500 Dec 31, 2018 729000'. It's a correct data table transferred from the image.","'The overall pear production over the period shows a decrease over time. Production was highest in 2000 (1,000,000) and lowest in 2019 (700,000 approx) with peaks and troughs across the period.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3886.png,"'Electricity export volume from the United States between 1999 and 2019 (in gigawatt hours) <s> Year Exports in thousand gigawatt hours Dec 31, 1998 14222 Dec 31, 1999 14829 Dec 31, 2004 19151 Dec 31, 2009 19106 Dec 31, 2010 15049 Dec 31, 2011 11996 Dec 31, 2012 11373 Dec 31, 2013 13298 Dec 31, 2014 9100 Dec 31, 2015 6214 Dec 31, 2016 9371 Dec 31, 2017 13805 Dec 31, 2018 20008'. It's a correct data table transferred from the image.",'Here a is a area graph named Electricity export volume from the United States between 1999 and 2019 (in gigawatt hours). The x-axis shows Year while the y-axis measures Exports in thousand gigawatt hours.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7272.png,"'Annual change in spending on sports and recreation in the United States in 2017 , by type <s> Same as last year No money 43 37 40 38 44 37 26 60 33 49 28 56 18 70 18 71 15 74 15 77'. It's a correct data table transferred from the image.",'15 same as last year had the highest no money value.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8789.png,"'Percentage of households in the United States that paid no income tax in 2019 , by income level <s> Households that pay income tax Cash income level in U\.S\. dollars 0.002 2; Cash income level in U.S. dollars: Less than 10,000 0.107 7; Cash income level in U.S. dollars: 10,000 to 20,000 0.281 1; Cash income level in U.S. dollars: 20,000 to 30,000 0.401 1; Cash income level in U.S. dollars: 30,000 to 40,000 0.534 4; Cash income level in U.S. dollars: 40,000 to 50,000 0.674 4; Cash income level in U.S. dollars: 50,000 to 75,000 0.831 1; Cash income level in U.S. dollars: 75,000 to 100,000 0.953 3; Cash income level in U.S. dollars: 100,000 to 200,000 0.992 2; Cash income level in U.S. dollars: 200,000 to 500,000 0.994 4; Cash income level in U.S. dollars: 500,000 to 1 million 0.999 9; Cash income level in U.S. dollars: More than 1 million 0.567 7; Cash income level in U.S. dollars: All'. It's a correct data table transferred from the image.","'This bar diagram is called Percentage of households in the United States that paid no income tax in 2019 , by income level. There is a categorical scale starting at 10,000 to 20,000 and ending at More than 1 million along the y-axis, marked Cash income level in U\.S\. dollars. There is a linear scale from 0.0 to 1.0 on the x-axis, labeled Households that pay income tax.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7380.png,"'Total spending of Barack Obama and Mitt Romney in the 2012 elections as of October 2012 , by major category (in million U.S. dollars) <s> spending major category Obama Advertising 457.6 Mail 85.5 Payroll 95.1 Fundraising 81.8 Administration 45.8 Travel 24.1 Polling 27.8 Consult. 12 Lists 16.3 Events 13.9'. It's a correct data table transferred from the image.","'Total spending of Barack Obama and Mitt Romney in the 2012 elections as of October 2012 , by major category (in million U.S. dollars) is a bar diagram. The x-axis plots spending major category while the y-axis shows Obama.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3675.png,"'Largest companies in Gotland county , Sweden as of December 2020 , by turnover (in thousand SEK) <s> Turnover in thousand SEK Largest companies in Gotland county 8784000 Svenska Spel, AB 2454204 Rederi AB Gotland 424413 PayEx Sverige AB 412186 Teg AB 377854 Brukets Livs AB 361417 Gotlandshem, AB 243174 Järn AB Södertorg 211688 Arriba Byggnads AB 207524 BRS Networks AB 160052 Gotlandsägg AB 145863 Wisab Bygg AB 144401 Visby Motorcentral, AB 136739 Bilcompaniet & c/o AB 133375 Visby Bilcity AB 123516 PAJO Livs i Visby AB 123291 Dan Kolmodin Bygg AB 123291 Abirra AB 107622 Roma Grus AB 101435 Dennis Lundins Bil, AB 97570 Hansa Wood AB'. It's a correct data table transferred from the image.","'Monthly export value of fish , crustaceans , shellfish and other fishery products in Canada from 2015 to 2020 (in million Canadian dollars) <s> Month 2018 De  257.9; Month: Dec No  256; Month: Nov Oc  255.4; Month: Oct Se  261.8; Month: Sep Au  265.4; Month: Aug Ju  254.9; Month: Jul Ju  253.6; Month: Jun Ma  258.6; Month: May Ap  258; Month: Apr Ma  249.3; Month: Mar Fe  263.2; Month: Feb Ja  202.3; Month: Jan'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1754.png,'Market capitalization of the largest U.S. internet companies as of June 2020 (in billion U.S. dollars) <s> Value of market cap in billion U.S. dollars Platform 1364 Amazon.com 977.75 Alphabet 666.75 Facebook 223.16 Verizon Communications 201.36 Netflix 65.91 Booking Holdings Inc. 34.45 Snap Inc. 34.27 eBay 24.9 Twitter 13.59 Pinterest'. It's a correct data table transferred from the image.,'Market capitalization of the largest U.S. internet companies as of June 2020 (in billion U.S. dollars) is a bar graph. The y-axis measures Platform on a categorical scale starting at Alphabet and ending at eBay. The x-axis shows Value of market cap in billion U.S. dollars.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8029.png,"'Barbados : Age structure from 2009 to 2019 <s> Year 65 years and older Dec 31, 2008 0.13 Dec 31, 2009 0.1325 Dec 31, 2010 0.1346 Dec 31, 2011 0.1372 Dec 31, 2012 0.1401 Dec 31, 2013 0.1434 Dec 31, 2014 0.1469 Dec 31, 2015 0.1504 Dec 31, 2016 0.1541 Dec 31, 2017 0.158 Dec 31, 2018 0.1623'. It's a correct data table transferred from the image.",'The age structure of Barbados has increased every year since 2009 to 2019.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4618.png,"'Leading Italian fashion companies in 2018 , by turnover (in 1,000 euros) <s> Turnover in thousand euros fashion company 8928889 Luxottica Group 3142148 Prada 2302772 Calzedonia Holding 2108772 Giorgio Armani 1597294 Max Mara Fashion Group 1457154 OVS 1420074 Moncler 1408179 OTB 1349254 D & G 1335269 Salvatore Ferragamo 1274463 Decathlon Italia* 1223690 Valentino 1159254 Ermenegildo Zegna Holditalia 1090168 Gucci Logistica* 1024139 Zara Italia* 996571 LIR 982619 LVMH Italia* 962861 Safilo Group 956676 Benetton Group* 940499 Tod's'. It's a correct data table transferred from the image.",'Apparent steel consumption per capita in Mexico from 2003 to 2018 (in kilograms of finished steel products) <s> Year Per capita use in kilograms 2018 194.4 2017 204.8 2016 199.8 2015 197.6 2014 189 2013 167.9 2012* 173.1 2011 166.3 2010 149.7 2009 129.9 2008 154.3 2007 164 2006 158.9 2005 143.9 2004 152.6 2003 144'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6795.png,"'Latvia : Distribution of gross domestic product (GDP) across economic sectors from 2009 to 2019 <s> Year Agriculture Dec 31, 2008 0.0312 Dec 31, 2009 0.0399 Dec 31, 2010 0.0324 Dec 31, 2011 0.0313 Dec 31, 2012 0.0311 Dec 31, 2013 0.0324 Dec 31, 2014 0.0353 Dec 31, 2015 0.0309 Dec 31, 2016 0.0347 Dec 31, 2017 0.0357 Dec 31, 2018 0.0372'. It's a correct data table transferred from the image.","'Percentage of households with central heating systems in the United Kingdom (UK) from 1970 to 2018 <s> Response Percentage of respondents Dec 31, 1969 0.3 Dec 31, 1974 0.47 Dec 31, 1979 0.59 Dec 31, 1984 0.69 Dec 31, 1989 0.79 Dec 31, 1994 0.84 Dec 31, 1995 0.85 Dec 31, 1996 0.87 Dec 31, 1997 0.89 Dec 31, 1998 0.89 Dec 31, 1999 0.9 Dec 31, 2000 0.91 Dec 31, 2001 0.92 Dec 31, 2002 0.93 Dec 31, 2003 0.94 Dec 31, 2004 0.95 Dec 31, 2005 0.94 Dec 31, 2006 0.95 Dec 31, 2007 0.95 Dec 31, 2008 0.95 Dec 31, 2009 0.96 Dec 31, 2010 0.96 Dec 31, 2011 0.96 Dec 31, 2012 0.96 Dec 31, 2013 0.96 Dec 31, 2014 0.96 Dec 31, 2015 0.95 Dec 31, 2016 0.95 Dec 31, 2017 0.95'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2574.png,"'Chicken production in Malaysia from 2005 to 2018 (in million heads) <s> Year Production in million heads Dec 31, 2004 174.69 Dec 31, 2005 179.23 Dec 31, 2006 188.38 Dec 31, 2007 198.93 Dec 31, 2008 201.97 Dec 31, 2009 217.23 Dec 31, 2010 232.87 Dec 31, 2011 251.16 Dec 31, 2012 274.93 Dec 31, 2013 280.27 Dec 31, 2014 286.62 Dec 31, 2015 289.67 Dec 31, 2016 308.26 Dec 31, 2017 321.31'. It's a correct data table transferred from the image.","'The world 's leading container ship operators as of October 12 , 2020 , based on TEU capacity of own ships <s> Capacity in TEUs operators 2327592 APM-Maersk 1551249 COSCO Group 1052321 Hapag-Lloyd 970019 CMA CGM Group 965533 Mediterranean Shg Co 600514 Evergreen Line 513955 ONE (Ocean Network Express) 417054 HMM Co Ltd 182053 Yang Ming Marine Transport Corp. 167277 Wan Hai Lines 131701 PIL (Pacific Int. Line) 111813 Antong Holdings (QASC) 97517 SITC 94041 Zhonggu Logistics Corp. 93674 IRISL Group'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1566.png,"'Total net written premiums of the general business insurance market in the United Kingdom (UK) from 2007 to 2018 (in million GBP) <s> Year Amount in million GBP Dec 31, 2006 33971 Dec 31, 2007 35492 Dec 31, 2008 32293 Dec 31, 2009 34337 Dec 31, 2010 35964 Dec 31, 2011 35423 Dec 31, 2012 35226 Dec 31, 2013 33887 Dec 31, 2014 30123 Dec 31, 2015 26018 Dec 31, 2016 29672 Dec 31, 2017 32929'. It's a correct data table transferred from the image.","'Here a is a line plot called Total net written premiums of the general business insurance market in the United Kingdom (UK) from 2007 to 2018 (in million GBP). A linear scale from 2008 to 2016 can be seen along the x-axis, marked Year. Along the y-axis, Amount in million GBP is defined.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5132.png,"'Life expectancy of women at birth in China from 1960 to 2018 (in years) <s> Year Life expectancy at birth in years Dec 31, 1959 45.19 Dec 31, 1960 45.5 Dec 31, 1961 46.24 Dec 31, 1962 47.49 Dec 31, 1963 49.19 Dec 31, 1964 51.26 Dec 31, 1965 53.51 Dec 31, 1966 55.73 Dec 31, 1967 57.75 Dec 31, 1968 59.48 Dec 31, 1969 60.9 Dec 31, 1970 62.02 Dec 31, 1971 62.96 Dec 31, 1972 63.8 Dec 31, 1973 64.58 Dec 31, 1974 65.32 Dec 31, 1975 66.02 Dec 31, 1976 66.66 Dec 31, 1977 67.26 Dec 31, 1978 67.8 Dec 31, 1979 68.3 Dec 31, 1980 68.74 Dec 31, 1981 69.13 Dec 31, 1982 69.47 Dec 31, 1983 69.77 Dec 31, 1984 70.02 Dec 31, 1985 70.25 Dec 31, 1986 70.45 Dec 31, 1987 70.64 Dec 31, 1988 70.82 Dec 31, 1989 71 Dec 31, 1990 71.2 Dec 31, 1991 71.41 Dec 31, 1992 71.63 Dec 31, 1993 71.86 Dec 31, 1994 72.1 Dec 31, 1995 72.36 Dec 31, 1996 72.62 Dec 31, 1997 72.88 Dec 31, 1998 73.14 Dec 31, 1999 73.41 Dec 31, 2000 73.67 Dec 31, 2001 73.95 Dec 31, 2002 74.24 Dec 31, 2003 74.54 Dec 31, 2004 74.85 Dec 31, 2005 75.17 Dec 31, 2006 75.51 Dec 31, 2007 75.86 Dec 31, 2008 76.21 Dec 31, 2009 76.57 Dec 31, 2010 76.93 Dec 31, 2011 77.28 Dec 31, 2012 77.64 Dec 31, 2013 77.97 Dec 31, 2014 78.29 Dec 31, 2015 78.57 Dec 31, 2016 78.83 Dec 31, 2017 79.05'. It's a correct data table transferred from the image.","'There has been an increase in the life expectancy of women. Women born in 1960 were expected to live to approximately 43 years, whereas the life expectancy for women born in 2018 is approximately 79 years .'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1701.png,"'Zambia : Life expectancy at birth from 2008 to 2018 <s> Year Life expectancy at birth in years Dec 31, 2007 52.61 Dec 31, 2008 54.13 Dec 31, 2009 55.66 Dec 31, 2010 57.13 Dec 31, 2011 58.5 Dec 31, 2012 59.75 Dec 31, 2013 60.83 Dec 31, 2014 61.74 Dec 31, 2015 62.46 Dec 31, 2016 63.04 Dec 31, 2017 63.51'. It's a correct data table transferred from the image.","'Monthly export value of fish , crustaceans , shellfish and other fishery products in Canada from 2015 to 2020 (in million Canadian dollars) <s> Month 2018 De  257.9; Month: Dec No  256; Month: Nov Oc  255.4; Month: Oct Se  261.8; Month: Sep Au  265.4; Month: Aug Ju  254.9; Month: Jul Ju  253.6; Month: Jun Ma  258.6; Month: May Ap  258; Month: Apr Ma  249.3; Month: Mar Fe  263.2; Month: Feb Ja  202.3; Month: Jan'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4956.png,'Value of Premier League TV broadcasting deals in Asia in the time period from 2013 to 2016 (in million U.S. dollars) <s> Country TV deal value in million U.S. dollars Thailand* 320 Singapore 297 Hong Kong 200 Malaysia 200 India & West Asia** 145 Indonesia 80 China & Macau 50 South Korea 40 Burma 40 Japan 38 Vietnam 35 Other 25'. It's a correct data table transferred from the image.,"'Albania : Unemployment rate from 1999 to 2020 <s> Year Unemployment rate Dec 31, 1998 0.1857 Dec 31, 1999 0.1777 Dec 31, 2000 0.1741 Dec 31, 2001 0.1751 Dec 31, 2002 0.175 Dec 31, 2003 0.1727 Dec 31, 2004 0.1687 Dec 31, 2005 0.1639 Dec 31, 2006 0.1597 Dec 31, 2007 0.1306 Dec 31, 2008 0.1367 Dec 31, 2009 0.1409 Dec 31, 2010 0.1348 Dec 31, 2011 0.1338 Dec 31, 2012 0.1587 Dec 31, 2013 0.1749 Dec 31, 2014 0.1708 Dec 31, 2015 0.1522 Dec 31, 2016 0.1375 Dec 31, 2017 0.1234 Dec 31, 2018 0.1233 Dec 31, 2019 0.1281'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4069.png,"'Number of owner occupied housing units in the United States from 1975 to 2019 (in millions) <s> Year Number of housing units in millions Dec 31, 1974 46.87 Dec 31, 1984 56.15 Dec 31, 1994 63.54 Dec 31, 2004 74.93 Dec 31, 2009 75.99 Dec 31, 2010 76.09 Dec 31, 2011 75.21 Dec 31, 2012 74.95 Dec 31, 2013 75.03 Dec 31, 2014 75.23 Dec 31, 2015 75.6 Dec 31, 2016 77.66 Dec 31, 2017 79.36 Dec 31, 2018 80.68'. It's a correct data table transferred from the image.","'Housing units in America have increased significantly since the 1970s , with a small stagnation in 2010s and it looks to be rising again.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2499.png,'Number of road traffic fatalities in Greece from 2006 to 2019 <s> Year Number of fatalities 2019* 696 2018 700 2017 731 2016 824 2015 793 2014 795 2013 879 2012 988 2011 1141 2010 1258 2009 1456 2008 1553 2007 1612 2006 1657'. It's a correct data table transferred from the image.,"'Here a is a bar chart named Number of road traffic fatalities in Greece from 2006 to 2019. There is a categorical scale starting with 2006 and ending with 2019* along the x-axis, marked Year. Along the y-axis, Number of fatalities is plotted.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2704.png,"'Average usual weekly hours worked on the main job in Luxembourg from 2000 to 2019 <s> Year Average usual weekly hours Dec 31, 1999 37.5 Dec 31, 2000 37.2 Dec 31, 2001 37.3 Dec 31, 2002 37.1 Dec 31, 2003 37 Dec 31, 2004 36.8 Dec 31, 2005 36.9 Dec 31, 2006 36.7 Dec 31, 2007 36.7 Dec 31, 2008 36.9 Dec 31, 2009 36.8 Dec 31, 2010 36.6 Dec 31, 2011 36.8 Dec 31, 2012 36.9 Dec 31, 2013 36.9 Dec 31, 2014 37.2 Dec 31, 2015 37.3 Dec 31, 2016 37.2 Dec 31, 2017 37.4 Dec 31, 2019 37.6'. It's a correct data table transferred from the image.","'Guatemala : Life expectancy at birth from 2008 to 2018 <s> Year Life expectancy at birth in years Dec 31, 2007 70.75 Dec 31, 2008 71.11 Dec 31, 2009 71.48 Dec 31, 2010 71.86 Dec 31, 2011 72.24 Dec 31, 2012 72.6 Dec 31, 2013 72.94 Dec 31, 2014 73.25 Dec 31, 2015 73.54 Dec 31, 2016 73.81 Dec 31, 2017 74.06'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4324.png,"'New York Mets franchise value from 2002 to 2020 (in million U.S. dollars) <s> Year Franchise value in million U.S. dollars Dec 31, 2001 482 Dec 31, 2002 498 Dec 31, 2003 442 Dec 31, 2004 505 Dec 31, 2005 604 Dec 31, 2006 736 Dec 31, 2007 824 Dec 31, 2008 912 Dec 31, 2009 858 Dec 31, 2010 747 Dec 31, 2011 719 Dec 31, 2012 811 Dec 31, 2013 800 Dec 31, 2014 1350 Dec 31, 2015 1650 Dec 31, 2016 2000 Dec 31, 2017 2100 Dec 31, 2018 2300 Dec 31, 2019 2400'. It's a correct data table transferred from the image.","'This is a area diagram labeled New York Mets franchise value from 2002 to 2020 (in million U.S. dollars). The x-axis measures Year along linear scale with a minimum of 2005 and a maximum of 2015 while the y-axis shows Franchise value in million U.S. dollars using linear scale of range 0 to 2,000.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1704.png,"'Percentage of new Hispanic directors on Fortune 500 boards from 2009 to 2019 <s> Response Percentage of Hispanic directors Dec 31, 2008 0.051 Dec 31, 2009 0.054 Dec 31, 2010 0.039 Dec 31, 2011 0.047 Dec 31, 2012 0.05 Dec 31, 2013 0.05 Dec 31, 2014 0.04 Dec 31, 2015 0.064 Dec 31, 2016 0.064 Dec 31, 2017 0.04 Dec 31, 2018 0.05'. It's a correct data table transferred from the image.",'Peak and trough chart. Steep incline in 2014 reaching a plateau before a steep decline in 2017.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2103.png,"'Zinc production value in Canada in 2019 , by province (in 1,000 Canadian dollars) <s> Production in 1,000 Canadian dollars province of Canada 0 Newfoundland and Labrador 0 Prince Edward Island 0 Nova Scotia 142750 New Brunswick 246073 Quebec 231189 Ontario 381257 Manitoba 0 Saskatchewan 0 Alberta 30092 British Columbia 0 Yukon 0 Northwest Territories 0 Nunavut'. It's a correct data table transferred from the image.",'for the year 2019 the bar chart clearly shows that the province of Manitoba vastly exceeds the other provinces in the production of Zinc.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4029.png,"'Annual revenue of Baidu from 2008 to 2019 (in billion U.S. dollars) <s> Year Revenue in billion U.S. dollars Dec 31, 2007 0.46 Dec 31, 2008 0.65 Dec 31, 2009 1.17 Dec 31, 2010 2.25 Dec 31, 2011 3.58 Dec 31, 2012 5.25 Dec 31, 2013 7.91 Dec 31, 2014 10.25 Dec 31, 2015 10.16 Dec 31, 2016 13.03 Dec 31, 2017 14.88 Dec 31, 2018 15.43'. It's a correct data table transferred from the image.","'When looking at the revenue of Baidu from 2008 to 2019 (in billion U.S, dollars), the revenue was highest after 2018. Contrastingly, their revenue was lowest during 2008.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7103.png,"'Brazil : Distribution of employment by economic sector from 2010 to 2020 <s> Year Agriculture Dec 31, 2009 0.1265 Dec 31, 2010 0.1199 Dec 31, 2011 0.1147 Dec 31, 2012 0.1117 Dec 31, 2013 0.1034 Dec 31, 2014 0.102 Dec 31, 2015 0.1014 Dec 31, 2016 0.0946 Dec 31, 2017 0.0926 Dec 31, 2018 0.0922 Dec 31, 2019 0.0912'. It's a correct data table transferred from the image.","'This is a area diagram called Brazil : Distribution of employment by economic sector from 2010 to 2020. On the x-axis, Year is measured along a linear scale from 2010 to 2018. There is a linear scale of range 0.00 to 0.12 on the y-axis, labeled Agriculture.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6701.png,"'Number of bankruptcies after the coronavirus outbreak in Sweden from February to November 2020 , by industry <s> Wholesale Month 29 Feb 41 Mar 55 Apr 43 May 33 Jun 37 Jul 24 Aug 24 Sep 29 Oct 37 Nov'. It's a correct data table transferred from the image.","'Here a bar chart is named Number of bankruptcies after the coronavirus outbreak in Sweden from February to November 2020 , by industry. On the x-axis, Wholesale is defined as a linear scale from 0 to 50. The y-axis shows Month with a categorical scale with Apr on one end and Sep at the other.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7272.png,"'Annual change in spending on sports and recreation in the United States in 2017 , by type <s> Same as last year No money 43 37 40 38 44 37 26 60 33 49 28 56 18 70 18 71 15 74 15 77'. It's a correct data table transferred from the image.",'I'm so sorry but I don't understand this chart myself.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5112.png,"'Earthquakes of magnitude 3.6 and over in Italy between January and May 2020 , by magnitude <s> Magnitude region of Italy 3.8 Albi (Cosenza) - January 16 3.6 Carpino (Foggia) - January 21 3.8 North-west coast in Calabria (Cosenza) - January 23 4.3 Castiglione Cosentino (Cosenza) - February 24 3.7 Aeolian Islands (Messina) - February 27 3.9 South tyrrhenian sea - March 1 3.6 Troina (Enna) - March 2 4 Ionian coast (Crotone) - March 4 4.4 South tyrrhenian sea - March 15 3.9 South-west coast in Calabra (Catanzaro, Vibo Valentina, Reggio di Calabria) - March 17 4 Cerignale (Piacenza) - April 16 3.7 Poggio Imperiale (Foggia) - April 18 3.7 Redavalle (Pavia) - April 19'. It's a correct data table transferred from the image.","'South tyrrhenien sea had the largest earthquake on the 15th March, Foggia had the smallest earthquake on the 21st January. March and April are the months when most earthquakes occurred.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7012.png,"'Length of time respondents think the coronavirus (COVID-19) outbreak will last in their country , worldwide as of March 12 , 2020 , by country <s> Response 4-5 months All 0.11 Australia 0.14 Brazil 0.18 China 0.06 France 0.12 Germany 0.14 Italy 0.16 Japan 0.18 Philippines 0.14 Singapore 0.1 South Africa 0.13 Spain 0.16 United Kingdom 0.13 United States 0.19'. It's a correct data table transferred from the image.","'Length of time respondents think the coronavirus (COVID-19) outbreak will last in their country , worldwide as of March 12 , 2020 , by country is a bar graph. The y-axis shows 4-5 months on a linear scale of range 0.00 to 0.20. Response is drawn using a categorical scale from All to United States along the x-axis.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-7098.png,'Greece : Government revenue and spending from 2014 to 2024 (in billion euros) <s> Revenue Year 96.93 2024* 96.14 2023* 94.39 2022* 92.87 2021* 91.31 2020* 90.66 2019* 88.06 2018 87.14 2017 87.28 2016 84.77 2015 82.39 2014'. It's a correct data table transferred from the image.,'This bar plot is labeled Greece : Government revenue and spending from 2014 to 2024 (in billion euros). The y-axis plots Year while the x-axis measures Revenue.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-293.png,"'Most popular domestic travel destinations for United States travelers , according to travel agents in 2016 <s> Response Share of respondents Orlando, FL 0.359 Maui, HI 0.358 Cruise - Alaska 0.353 New York City, NY 0.306 Las Vegas, NV 0.288 Honolulu, HI 0.215 Los Angeles, CA 0.16 San Francisco, CA 0.151 Chicago, IL 0.143 Miami / Miami Beach, FL 0.139'. It's a correct data table transferred from the image.","'This is a bar graph called Most popular domestic travel destinations for United States travelers , according to travel agents in 2016. The x-axis plots Response. On the y-axis, Share of respondents is plotted.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3418.png,"'Annual total electricity supply in the United Kingdom (UK) from 2000 to 2018 (in gigawatt hours) <s> Year Supply in gigawatt hours Dec 31, 1999 391242 Dec 31, 2000 395178 Dec 31, 2001 395661 Dec 31, 2002 400369 Dec 31, 2003 401419 Dec 31, 2004 406682 Dec 31, 2005 404799 Dec 31, 2006 402044 Dec 31, 2007 399940 Dec 31, 2008 379615 Dec 31, 2009 384730 Dec 31, 2010 374205 Dec 31, 2011 375737 Dec 31, 2012 372715 Dec 31, 2013 358616 Dec 31, 2014 359981 Dec 31, 2015 356936 Dec 31, 2016 352932 Dec 31, 2017 352000'. It's a correct data table transferred from the image.","'Share of female film directors in Hollywood from 2007 to 2019 <s> Response Share of directors Dec 31, 2006 0.027 Dec 31, 2007 0.08 Dec 31, 2008 0.036 Dec 31, 2009 0.028 Dec 31, 2010 0.037 Dec 31, 2011 0.041 Dec 31, 2012 0.019 Dec 31, 2013 0.019 Dec 31, 2014 0.075 Dec 31, 2015 0.042 Dec 31, 2016 0.073 Dec 31, 2017 0.045 Dec 31, 2018 0.106'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5331.png,"'Costa Rica : Infant mortality rate from 2009 to 2019 (in deaths per 1,000 live births) <s> Year Deaths per 1,000 live births Dec 31, 2008 9.4 Dec 31, 2009 9.2 Dec 31, 2010 8.9 Dec 31, 2011 8.6 Dec 31, 2012 8.2 Dec 31, 2013 7.9 Dec 31, 2014 7.7 Dec 31, 2015 7.5 Dec 31, 2016 7.5 Dec 31, 2017 7.5 Dec 31, 2018 7.5'. It's a correct data table transferred from the image.","'Here a line graph is named Costa Rica : Infant mortality rate from 2009 to 2019 (in deaths per 1,000 live births). The x-axis shows Year along linear scale with a minimum of 2010 and a maximum of 2018 while the y-axis shows Deaths per 1,000 live births along linear scale with a minimum of 0 and a maximum of 10.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8192.png,"'Do you ever play games at home or elsewhere in any of these ways ? <s> Response Mobile phone Dec 31, 2008 0.06 Dec 31, 2009 0.09 Dec 31, 2010 0.12 Dec 31, 2011 0.13 Dec 31, 2012 0.19 Dec 31, 2013 0.26 Dec 31, 2014 0.26 Dec 31, 2015 0.19 Dec 31, 2016 0.21 Dec 31, 2017 0.22 Dec 31, 2018 0.23'. It's a correct data table transferred from the image.",'The numbers on the graph do not explain the data so it is difficult to interpret.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-262.png,"'Share of respondents who had set up their own social network profile in the United Kingdom (UK) from 2007 to 2019 <s> Response Share of respondents Dec 31, 2006 0.22 Dec 31, 2008 0.44 Dec 31, 2009 0.54 Dec 31, 2010 0.59 Dec 31, 2011 0.64 Dec 31, 2012 0.66 Dec 31, 2013 0.72 Dec 31, 2014 0.73 Dec 31, 2015 0.76 Dec 31, 2016 0.77 Dec 31, 2017 0.8 Dec 31, 2018 0.82'. It's a correct data table transferred from the image.",'Here a area diagram is called Share of respondents who had set up their own social network profile in the United Kingdom (UK) from 2007 to 2019. The x-axis plots Response while the y-axis shows Share of respondents.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5536.png,'Average annual rainfall in the United Kingdom (UK) from 2001 to 2019 (in millimeters) <s> Rainfall in millimeters Year 1416.6 2019* 1320.8 2018 1330.9 2017 1380.5 2016 1723.3 2015 1520.5 2014 1322 2013 1456.1 2012 1889.2 2011 1020.7 2010 1463.5 2009 1563.5 2008 1416.4 2007 1592.4 2006 1372.8 2005 1543.2 2004 1038.8 2003 1452.8 2002 1130.2 2001'. It's a correct data table transferred from the image.,"'Here a is a bar diagram titled Average annual rainfall in the United Kingdom (UK) from 2001 to 2019 (in millimeters). The x-axis shows Rainfall in millimeters with linear scale from 0 to 2,000 while the y-axis measures Year using categorical scale starting with 2001 and ending with 2019*.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1453.png,"'Share of consumers who access music through illegal channels worldwide in 2017 , by country <s> Share of respondents Response 0.23 France 0.15 Germany 0.19 The Netherlands 0.21 Poland 0.35 Spain 0.17 Sweden 0.18 United Kingdom 0.27 Brazil 0.25 Canada 0.25 Hong Kong 0.17 Indonesia 0.09 Japan 0.26 Thailand 0.24 Total'. It's a correct data table transferred from the image.",'Honduras : Total population from 2015 to 2025 (in million inhabitants) <s> Year Inhabitants in millions 2025* 10.85 2024* 10.66 2023* 10.48 2022* 10.29 2021* 10.12 2020* 9.94 2019 9.77 2018 9.6 2017 9.44 2016 9.27 2015 9.11'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6247.png,"'Mobility in selected cities between March 3 , 2020 and December 7 , 2020 , compared with movement prior to the coronavirus outbreak <s> Response Stockholm Mar 02, 2020 0.93 Mar 09, 2020 0.87 Mar 16, 2020 0.39 Mar 23, 2020 0.32 Mar 30, 2020 0.29 Apr 06, 2020 0.3 Apr 13, 2020 0.29 Apr 20, 2020 0.35 Apr 27, 2020 0.29 May 04, 2020 0.33 May 11, 2020 0.31 May 18, 2020 0.35 May 25, 2020 0.45 Jun 01, 2020 0.44 Jun 08, 2020 0.47 Jun 15, 2020 0.49 Jun 22, 2020 0.55 Jun 29, 2020 0.54 Jul 06, 2020 0.52 Jul 13, 2020 0.48 Jul 20, 2020 0.45 Jul 27, 2020 0.47 Aug 03, 2020 0.54 Aug 10, 2020 0.64 Aug 17, 2020 0.67 Aug 24, 2020 0.67 Aug 31, 2020 0.68 Sep 07, 2020 0.67 Sep 14, 2020 0.66 Sep 21, 2020 0.7 Sep 28, 2020 0.63 Oct 05, 2020 0.76 Oct 12, 2020 0.64 Oct 19, 2020 0.71 Oct 26, 2020 0.74 Nov 02, 2020 0.57 Nov 09, 2020 0.53 Nov 16, 2020 0.49 Nov 23, 2020 0.45 Nov 30, 2020 0.5 Dec 07, 2020 0.49'. It's a correct data table transferred from the image.","'The above chart shows that the months of March and June 2020, there was limited mobility in the city of Stockholm, Sweden. The chart also shows that between the months of August to November mobility drastically increased.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8124.png,"'Most popular products purchased in online stores during the coronavirus (COVID-19) epidemic in Poland as a monthly change in the number of BLIK transactions between February and April 2020 , by e-commerce category <s> e-commerce category April to February 2020 Household appliances and electronics 5.42 Household chemistry 3.45 Supplements 1.57 Clothing 1.54 Courier services 1.43 Game Streaming 1.23 Perfume 1.23 Marketplaces 0.81 Online gambling 0.53 Financial support (eg. charity, funding) 0.53 Food delivery 0.47 Bookstore 0.44 TV Streaming 0.38 Mobile services 0.13 Pharmacies −0.15 Bookmaker's betting −0.58 Tickets/transport −0.88'. It's a correct data table transferred from the image.","'Latin America and the Caribbean : Distribution of employment by economic sector from 2010 to 2020 <s> Year Industry Dec 31, 2009 0.2161 Dec 31, 2010 0.2153 Dec 31, 2011 0.2173 Dec 31, 2012 0.216 Dec 31, 2013 0.2175 Dec 31, 2014 0.2157 Dec 31, 2015 0.2104 Dec 31, 2016 0.208 Dec 31, 2017 0.2063 Dec 31, 2018 0.2041 Dec 31, 2019 0.2028'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-681.png,"'Share of households with internet access in France from 2007 to 2019 <s> Response Share of households Dec 31, 2006 0.55 Dec 31, 2007 0.62 Dec 31, 2008 0.69 Dec 31, 2009 0.74 Dec 31, 2010 0.76 Dec 31, 2011 0.8 Dec 31, 2012 0.82 Dec 31, 2013 0.83 Dec 31, 2014 0.83 Dec 31, 2015 0.86 Dec 31, 2016 0.86 Dec 31, 2017 0.89 Dec 31, 2018 0.9'. It's a correct data table transferred from the image.",'The number of houses with internet access in France is increasing year on year but not dramatically.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3786.png,'Characteristics of a dream woman in China from a male perspective in 2012 <s> Share of respondents Response 0.55 Well-read and educated 0.49 Monogamous 0.47 Good manners and a good cook/housewife 0.46 Elegance 0.38 Sense of responsibility 0.2 Good looks 0.11 Sexy body 0.09 Well off financially 0.07 Willing to give birth 0.05 Social status'. It's a correct data table transferred from the image.,'Here a bar plot is called Characteristics of a dream woman in China from a male perspective in 2012. The x-axis shows Share of respondents along a linear scale with a minimum of 0.0 and a maximum of 0.5. Response is plotted on a categorical scale starting at Elegance and ending at Willing to give birth along the y-axis.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-572.png,"'Operating revenue of NextEra Energy from FY 2006 of FY 2019 (in million U.S. dollars) <s> Year Operating revenue in million U.S. dollars Dec 31, 2005 15710 Dec 31, 2006 15263 Dec 31, 2007 16410 Dec 31, 2008 15643 Dec 31, 2009 15317 Dec 31, 2010 15341 Dec 31, 2011 14256 Dec 31, 2012 15136 Dec 31, 2013 17021 Dec 31, 2014 17486 Dec 31, 2015 16138 Dec 31, 2016 17173 Dec 31, 2017 16727 Dec 31, 2018 19204'. It's a correct data table transferred from the image.",'Average number of search terms for online search queries in Canada as of January 2020 <s> Response Share of searches One word 0.191 Two words 0.4562 Three words 0.2184 Four words 0.072 Five words 0.0318 Six words 0.0146 Seven words 0.0073 Eight words 0.0039 Nine words 0.0021 Ten or more words 0.0027'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-971.png,'Dallas Mavericks all-time points leaders from 1980 to 2020 <s> Players Points scored Dirk Nowitzki 31560 Rolando Blackman 16643 Mark Aguirre 13930 Derek Harper 12597 Michael Finley 12389 Jason Terry 9953 Brad Davis 7623 Sam Perkins 6766 Josh Howard 6614 Jay Vincent 6464'. It's a correct data table transferred from the image.,"'Dirk Nowitzki had the most points scored of 31,000. The majority of the players scored between 6,000 and 14,000.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3336.png,"'Average tuition fee for full-time Canadian undergraduate students in Canada in 2020/21 , by field of study (in Canadian dollars) <s> Field of study Average tuition fee in Canadian dollars Dentistry 22562 Medicine 14483 Veterinary medicine 14270 Law 12813 Optometry 11235 Pharmacy 11133 Engineering 8047 Mathematics, computer and information sciences 6895 Business, management and public administration 6887 Total (all fields) 6610 Architecture 6517 Visual and performing arts, and communications technologies 6226 Other health, parks, recreation and fitness 6172 Physical and life sciences and technologies 6156 Personal, protective and transportation services 5726 Agriculture, natural resources and conservation 5718 Nursing 5688 Social and behavioural sciences, and legal studies 5632 Humanities 5602 Education 4761'. It's a correct data table transferred from the image.","'This bar chart is named Average tuition fee for full-time Canadian undergraduate students in Canada in 2020/21 , by field of study (in Canadian dollars). The y-axis shows Average tuition fee in Canadian dollars with a linear scale with a minimum of 0 and a maximum of 20,000. Along the x-axis, Field of study is shown.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8358.png,'Refinery gold production in the United States from 2008 to 2019 (in metric tons) <s> Year Primary 2019* 200 2018 205 2017 207 2016 242 2015 244 2014 253 2013 223 2012 222 2011 220 2010 175 2009 170 2008 168'. It's a correct data table transferred from the image.,'Ranking of countries with the highest share of alcohol-related deaths in 2012 <s> Response Share of alcohol-attributable deaths Belarus 0.347 Ukraine 0.344 Moldova 0.331 Lithuania 0.309 Russia 0.305 Latvia 0.244 Estonia 0.214 Venezuela 0.108 Mongolia 0.105 Kazakhstan 0.092'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6017.png,"'Global automotive market share in 2019 , by brand <s> automobile manufacturer Market share Toyota 0.1024 Volkswagen 0.0759 Ford 0.0559 Honda 0.0546 Nissan 0.0515 Hyundai 0.0505 Chevrolet 0.0452 Kia 0.0335 Mercedes 0.0294 BMW 0.0262'. It's a correct data table transferred from the image.",'The car company with the highest market share in 2018 was Toyota. The company with the lowest market share is BMW.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4572.png,"'Revenue of Bombardier from FY 2007 to FY 2018 (in billion U.S. dollars) <s> Year Revenue in billion U.S. dollars Dec 31, 2006 14.9 Dec 31, 2007 17.5 Dec 31, 2008 19.7 Dec 31, 2009 19.4 Dec 31, 2010 17.9 Dec 31, 2011 16.4 Dec 31, 2012 18.1 Dec 31, 2013 20.1 Dec 31, 2014 18.2 Dec 31, 2015 16.3 Dec 31, 2016 16.2 Dec 31, 2017 16.2'. It's a correct data table transferred from the image.","'The chart shows that the revenue of Bombardier fluctuated between 2007 and 2018, starting at around 15 billiion US dollars in 2007, and finishing at just over 15 billion dollars in 2018. The highest revenue was recorded in 2014, at just over 20 billion US dollars. There was another peak in 2009, with revenue at or just under 20 billion US dollars.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-5591.png,"'United States direct investments in the European Union from 2000 to 2019 (in billion U.S. dollars) <s> Year Direct investments in billion U.S. dollars Dec 31, 1999 609.67 Dec 31, 2000 684.16 Dec 31, 2001 758.17 Dec 31, 2002 852.11 Dec 31, 2003 1029.92 Dec 31, 2004 1078.38 Dec 31, 2005 1256.6 Dec 31, 2006 1525.25 Dec 31, 2007 1626.35 Dec 31, 2008 1773.75 Dec 31, 2009 1834.56 Dec 31, 2010 2040.5 Dec 31, 2011 2206.48 Dec 31, 2012 2357.33 Dec 31, 2013 2659.12 Dec 31, 2014 2810.01 Dec 31, 2015 3030.6 Dec 31, 2016 3331.28 Dec 31, 2017 3177.28 Dec 31, 2018 3299.1'. It's a correct data table transferred from the image.","'This area chart is called United States direct investments in the European Union from 2000 to 2019 (in billion U.S. dollars). On the x-axis, Year is drawn. There is a linear scale with a minimum of 0 and a maximum of 3,500 along the y-axis, marked Direct investments in billion U.S. dollars.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-6089.png,"'Which , if any , of the following measures have you taken in the past 2 weeks specifically to protect yourself from the Coronavirus (COVID-19) ? <s> Feb 29 to Mar 1 Response 0.14 Avoid crowded public places 0.35 Improve personal hygiene (e.g. washing hands more frequently, using hand sanitizer) 0.14 Refrain from touching objects in public 0.02 Avoid going to work 0.09 Avoid physical contact with tourists 0.06 Avoid consumption of raw or uncooked meat 0.01 Wear a face mask in public places 0.54 No measures taken'. It's a correct data table transferred from the image.","'Impact of coronavirus (COVID-19) on monthly retail sales development in the United States 2020 , by retail sector <s> July to August retail sector 0.002 Motor vehicle & parts dealers 0.021 Furniture & home furniture stores 0.008 Electronics & appliance stores 0.02 Building material & garden equipment & supplies dealers −0.012 Food & beverage stores 0.008 Health & personal care stores 0.004 Gasoline stations 0.029 Clothing & clothing accessories  stores −0.057 Sporting goods, hobby, musical instrument, & book stores −0.004 General merchandise stores −0.002 Miscellaneous store retailers 0 Nonstore retailers 0.006 Total retail'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-8811.png,"'CVS Health 's revenue distribution from 2015 to 2025 , by product group <s> Year Pharmacy services Dec 31, 2014 0.655 Dec 31, 2015 0.676 Dec 31, 2016 0.707 Dec 31, 2017 0.692 Dec 31, 2018 0.666 Dec 31, 2019 0.654 Dec 31, 2020 0.641 Dec 31, 2021 0.633 Dec 31, 2022 0.624 Dec 31, 2023 0.615 Dec 31, 2024 0.606'. It's a correct data table transferred from the image.","'U.S. steel scrap exports between 2000 and 2019 (in 1,000 metric tons) <s> Year Exports in thousand metric tons Dec 31, 1999 5761 Dec 31, 2000 7444 Dec 31, 2001 8950 Dec 31, 2002 10767 Dec 31, 2003 11899 Dec 31, 2004 13001 Dec 31, 2005 13978 Dec 31, 2006 16642 Dec 31, 2007 21712 Dec 31, 2008 22439 Dec 31, 2009 20557 Dec 31, 2010 24373 Dec 31, 2011 21397 Dec 31, 2012 18495 Dec 31, 2013 15340 Dec 31, 2014 12976 Dec 31, 2015 12819 Dec 31, 2016 15016 Dec 31, 2017 17332 Dec 31, 2018 17685'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1515.png,'Average expenditure per person per week on food and drink in the United Kingdom (UK) from 2006 to 2018/2019 (in pence) <s> Year Average expenditure in British pence sterling 2018/2019 4660 2017/2018 4531 2016/2017 4402 2015/2016 4225 2015 4243 2014 4197 2013 4218 2012 4137 2011 3993 2010 3923 2009 3808 2008 3683 2007 3632 2006 3582'. It's a correct data table transferred from the image.,'As the years progresses there is a small increased in the expenditure of the pounds.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3062.png,"'Population of Australia from 1800 to 2020 (in millions) <s> Year Population in millions Dec 31, 1799 0.35 Dec 31, 1800 0.35 Dec 31, 1801 0.35 Dec 31, 1802 0.35 Dec 31, 1803 0.35 Dec 31, 1804 0.35 Dec 31, 1805 0.35 Dec 31, 1806 0.35 Dec 31, 1807 0.34 Dec 31, 1808 0.34 Dec 31, 1809 0.34 Dec 31, 1810 0.34 Dec 31, 1811 0.34 Dec 31, 1812 0.34 Dec 31, 1813 0.34 Dec 31, 1814 0.34 Dec 31, 1815 0.34 Dec 31, 1816 0.34 Dec 31, 1817 0.34 Dec 31, 1818 0.34 Dec 31, 1819 0.33 Dec 31, 1820 0.33 Dec 31, 1821 0.33 Dec 31, 1822 0.33 Dec 31, 1823 0.33 Dec 31, 1824 0.34 Dec 31, 1825 0.34 Dec 31, 1826 0.34 Dec 31, 1827 0.34 Dec 31, 1828 0.34 Dec 31, 1829 0.35 Dec 31, 1830 0.35 Dec 31, 1831 0.36 Dec 31, 1832 0.37 Dec 31, 1833 0.37 Dec 31, 1834 0.38 Dec 31, 1835 0.39 Dec 31, 1836 0.4 Dec 31, 1837 0.41 Dec 31, 1838 0.42 Dec 31, 1839 0.43 Dec 31, 1840 0.45 Dec 31, 1841 0.47 Dec 31, 1842 0.49 Dec 31, 1843 0.51 Dec 31, 1844 0.54 Dec 31, 1845 0.58 Dec 31, 1846 0.62 Dec 31, 1847 0.66 Dec 31, 1848 0.7 Dec 31, 1849 0.74 Dec 31, 1850 0.79 Dec 31, 1851 0.83 Dec 31, 1852 0.88 Dec 31, 1853 0.93 Dec 31, 1854 0.98 Dec 31, 1855 1.03 Dec 31, 1856 1.08 Dec 31, 1857 1.14 Dec 31, 1858 1.2 Dec 31, 1859 1.26 Dec 31, 1860 1.31 Dec 31, 1861 1.36 Dec 31, 1862 1.41 Dec 31, 1863 1.46 Dec 31, 1864 1.51 Dec 31, 1865 1.55 Dec 31, 1866 1.59 Dec 31, 1867 1.64 Dec 31, 1868 1.68 Dec 31, 1869 1.72 Dec 31, 1870 1.77 Dec 31, 1871 1.82 Dec 31, 1872 1.86 Dec 31, 1873 1.91 Dec 31, 1874 1.96 Dec 31, 1875 2.02 Dec 31, 1876 2.06 Dec 31, 1877 2.12 Dec 31, 1878 2.18 Dec 31, 1879 2.25 Dec 31, 1880 2.32 Dec 31, 1881 2.4 Dec 31, 1882 2.48 Dec 31, 1883 2.56 Dec 31, 1884 2.65 Dec 31, 1885 2.74 Dec 31, 1886 2.83 Dec 31, 1887 2.92 Dec 31, 1888 3.01 Dec 31, 1889 3.09 Dec 31, 1890 3.17 Dec 31, 1891 3.25 Dec 31, 1892 3.32 Dec 31, 1893 3.39 Dec 31, 1894 3.45 Dec 31, 1895 3.52 Dec 31, 1896 3.58 Dec 31, 1897 3.63 Dec 31, 1898 3.69 Dec 31, 1899 3.74 Dec 31, 1900 3.8 Dec 31, 1901 3.85 Dec 31, 1902 3.91 Dec 31, 1903 3.96 Dec 31, 1904 4.02 Dec 31, 1905 4.09 Dec 31, 1906 4.14 Dec 31, 1907 4.21 Dec 31, 1908 4.3 Dec 31, 1909 4.41 Dec 31, 1910 4.52 Dec 31, 1911 4.67 Dec 31, 1912 4.81 Dec 31, 1913 4.92 Dec 31, 1914 4.96 Dec 31, 1915 4.97 Dec 31, 1916 4.99 Dec 31, 1917 5.07 Dec 31, 1918 5.2 Dec 31, 1919 5.35 Dec 31, 1920 5.47 Dec 31, 1921 5.59 Dec 31, 1922 5.71 Dec 31, 1923 5.83 Dec 31, 1924 5.95 Dec 31, 1925 6.07 Dec 31, 1926 6.19 Dec 31, 1927 6.31 Dec 31, 1928 6.4 Dec 31, 1929 6.47 Dec 31, 1930 6.53 Dec 31, 1931 6.59 Dec 31, 1932 6.64 Dec 31, 1933 6.69 Dec 31, 1934 6.74 Dec 31, 1935 6.8 Dec 31, 1936 6.85 Dec 31, 1937 6.92 Dec 31, 1938 6.98 Dec 31, 1939 7.05 Dec 31, 1940 7.12 Dec 31, 1941 7.18 Dec 31, 1942 7.25 Dec 31, 1943 7.32 Dec 31, 1944 7.4 Dec 31, 1945 7.49 Dec 31, 1946 7.6 Dec 31, 1947 7.75 Dec 31, 1948 7.95 Dec 31, 1949 8.18 Dec 31, 1950 8.4 Dec 31, 1951 8.6 Dec 31, 1952 8.78 Dec 31, 1953 8.97 Dec 31, 1954 9.17 Dec 31, 1955 9.37 Dec 31, 1956 9.59 Dec 31, 1957 9.81 Dec 31, 1958 10.03 Dec 31, 1959 10.24 Dec 31, 1960 10.45 Dec 31, 1961 10.64 Dec 31, 1962 10.85 Dec 31, 1963 11.07 Dec 31, 1964 11.31 Dec 31, 1965 11.59 Dec 31, 1966 11.9 Dec 31, 1967 12.22 Dec 31, 1968 12.52 Dec 31, 1969 12.79 Dec 31, 1970 13.03 Dec 31, 1971 13.24 Dec 31, 1972 13.43 Dec 31, 1973 13.61 Dec 31, 1974 13.77 Dec 31, 1975 13.94 Dec 31, 1976 14.09 Dec 31, 1977 14.25 Dec 31, 1978 14.41 Dec 31, 1979 14.59 Dec 31, 1980 14.78 Dec 31, 1981 14.98 Dec 31, 1982 15.19 Dec 31, 1983 15.42 Dec 31, 1984 15.66 Dec 31, 1985 15.92 Dec 31, 1986 16.18 Dec 31, 1987 16.45 Dec 31, 1988 16.71 Dec 31, 1989 16.96 Dec 31, 1990 17.19 Dec 31, 1991 17.4 Dec 31, 1992 17.6 Dec 31, 1993 17.8 Dec 31, 1994 17.99 Dec 31, 1995 18.19 Dec 31, 1996 18.39 Dec 31, 1997 18.59 Dec 31, 1998 18.79 Dec 31, 1999 18.99 Dec 31, 2000 19.19 Dec 31, 2001 19.4 Dec 31, 2002 19.62 Dec 31, 2003 19.88 Dec 31, 2004 20.18 Dec 31, 2005 20.53 Dec 31, 2006 20.92 Dec 31, 2007 21.33 Dec 31, 2008 21.75 Dec 31, 2009 22.15 Dec 31, 2010 22.54 Dec 31, 2011 22.9 Dec 31, 2012 23.25 Dec 31, 2013 23.6 Dec 31, 2014 23.93 Dec 31, 2015 24.26 Dec 31, 2016 24.58 Dec 31, 2017 24.9 Dec 31, 2018 25.2 Dec 31, 2019 25.5'. It's a correct data table transferred from the image.",'Population of Australia from 1800 to 2020 (in millions) is a line diagram. The x-axis measures Year with linear scale of range 1800 to 2000 while the y-axis shows Population in millions with linear scale of range 0 to 20.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-2953.png,"'Number of cumulative cases of coronavirus (COVID-19) worldwide from January 22 , 2020 to January 5 , 2021 , by day <s> Year Number of cumulative cases Jan 21, 2020 555 Jan 22, 2020 654 Jan 23, 2020 941 Jan 24, 2020 1434 Jan 25, 2020 2118 Jan 26, 2020 2927 Jan 27, 2020 5578 Jan 28, 2020 6167 Jan 29, 2020 8235 Jan 30, 2020 9927 Jan 31, 2020 12038 Feb 01, 2020 16787 Feb 02, 2020 19887 Feb 03, 2020 23898 Feb 04, 2020 27643 Feb 05, 2020 30803 Feb 06, 2020 34396 Feb 07, 2020 37130 Feb 08, 2020 40160 Feb 09, 2020 42769 Feb 10, 2020 44811 Feb 11, 2020 45229 Feb 12, 2020 60382 Feb 13, 2020 66909 Feb 14, 2020 69051 Feb 15, 2020 71235 Feb 16, 2020 73270 Feb 17, 2020 75152 Feb 18, 2020 75652 Feb 19, 2020 76212 Feb 20, 2020 76841 Feb 21, 2020 78602 Feb 22, 2020 78982 Feb 23, 2020 79546 Feb 24, 2020 80399 Feb 25, 2020 81376 Feb 26, 2020 82736 Feb 27, 2020 84123 Feb 28, 2020 86013 Feb 29, 2020 88394 Mar 01, 2020 90377 Mar 02, 2020 92971 Mar 03, 2020 95279 Mar 04, 2020 98090 Mar 05, 2020 102003 Mar 06, 2020 106098 Mar 07, 2020 110047 Mar 08, 2020 114219 Mar 09, 2020 119041 Mar 10, 2020 126702 Mar 11, 2020 132492 Mar 12, 2020 146879 Mar 13, 2020 157952 Mar 14, 2020 169222 Mar 15, 2020 184032 Mar 16, 2020 199976 Mar 17, 2020 219535 Mar 18, 2020 246584 Mar 19, 2020 277361 Mar 20, 2020 309363 Mar 21, 2020 344194 Mar 22, 2020 387045 Mar 23, 2020 428205 Mar 24, 2020 479223 Mar 25, 2020 542053 Mar 26, 2020 607114 Mar 27, 2020 674360 Mar 28, 2020 733612 Mar 29, 2020 798890 Mar 30, 2020 875739 Mar 31, 2020 958601 Apr 01, 2020 1041662 Apr 02, 2020 1125086 Apr 03, 2020 1183501 Apr 04, 2020 1256089 Apr 05, 2020 1329228 Apr 06, 2020 1399055 Apr 07, 2020 1482433 Apr 08, 2020 1569454 Apr 09, 2020 1654968 Apr 10, 2020 1729309 Apr 11, 2020 1849041 Apr 12, 2020 1919797 Apr 13, 2020 2003732 Apr 14, 2020 2080830 Apr 15, 2020 2176408 Apr 16, 2020 2264120 Apr 17, 2020 2341473 Apr 18, 2020 2418166 Apr 19, 2020 2494115 Apr 20, 2020 2569728 Apr 21, 2020 2650749 Apr 22, 2020 2735103 Apr 23, 2020 2819191 Apr 24, 2020 2901458 Apr 25, 2020 2973163 Apr 26, 2020 3043202 Apr 27, 2020 3118508 Apr 28, 2020 3195544 Apr 29, 2020 3279073 Apr 30, 2020 3367339 May 01, 2020 3446630 May 02, 2020 3523175 May 03, 2020 3600779 May 04, 2020 3681127 May 05, 2020 3771007 May 06, 2020 3859785 May 07, 2020 3950120 May 08, 2020 4034910 May 09, 2020 4110202 May 10, 2020 4187133 May 11, 2020 4271251 May 12, 2020 4356139 May 13, 2020 4452527 May 14, 2020 4548277 May 15, 2020 4643002 May 16, 2020 4720844 May 17, 2020 4809885 May 18, 2020 4906666 May 19, 2020 5008397 May 20, 2020 5114997 May 21, 2020 5221533 May 22, 2020 5326614 May 23, 2020 5420782 May 24, 2020 5507621 May 25, 2020 5601251 May 26, 2020 5704043 May 27, 2020 5822948 May 28, 2020 5944039 May 29, 2020 6080995 May 30, 2020 6187617 May 31, 2020 6283302 Jun 01, 2020 6404720 Jun 02, 2020 6519015 Jun 03, 2020 6649743 Jun 04, 2020 6781099 Jun 05, 2020 6915223 Jun 06, 2020 7027195 Jun 07, 2020 7129785 Jun 08, 2020 7254563 Jun 09, 2020 7389458 Jun 10, 2020 7527334 Jun 11, 2020 7655982 Jun 12, 2020 7791149 Jun 13, 2020 7923625 Jun 14, 2020 8043069 Jun 15, 2020 8184990 Jun 16, 2020 8328152 Jun 17, 2020 8468486 Jun 18, 2020 8648275 Jun 19, 2020 8804913 Jun 20, 2020 8932952 Jun 21, 2020 9071294 Jun 22, 2020 9237176 Jun 23, 2020 9408237 Jun 24, 2020 9586818 Jun 25, 2020 9778118 Jun 26, 2020 9955755 Jun 27, 2020 10119217 Jun 28, 2020 10273694 Jun 29, 2020 10447667 Jun 30, 2020 10665134 Jul 01, 2020 10874057 Jul 02, 2020 11075680 Jul 03, 2020 11269688 Jul 04, 2020 11452930 Jul 05, 2020 11617428 Jul 06, 2020 11828845 Jul 07, 2020 12042625 Jul 08, 2020 12269629 Jul 09, 2020 12502211 Jul 10, 2020 12719735 Jul 11, 2020 12912321 Jul 12, 2020 13103178 Jul 13, 2020 13324911 Jul 14, 2020 13556384 Jul 15, 2020 13808502 Jul 16, 2020 14050878 Jul 17, 2020 14287228 Jul 18, 2020 14500967 Jul 19, 2020 14707359 Jul 20, 2020 14940469 Jul 21, 2020 15221747 Jul 22, 2020 15504677 Jul 23, 2020 15785888 Jul 24, 2020 16040277 Jul 25, 2020 16253250 Jul 26, 2020 16479069 Jul 27, 2020 16731027 Jul 28, 2020 17022514 Jul 29, 2020 17302946 Jul 30, 2020 17593931 Jul 31, 2020 17842857 Aug 01, 2020 18074408 Aug 02, 2020 18280103 Aug 03, 2020 18536427 Aug 04, 2020 18812950 Aug 05, 2020 19098152 Aug 06, 2020 19379581 Aug 07, 2020 19638069 Aug 08, 2020 19863462 Aug 09, 2020 20090473 Aug 10, 2020 20346972 Aug 11, 2020 20624230 Aug 12, 2020 20913936 Aug 13, 2020 21216955 Aug 14, 2020 21464275 Aug 15, 2020 21680469 Aug 16, 2020 21888348 Aug 17, 2020 22146490 Aug 18, 2020 22426342 Aug 19, 2020 22698858 Aug 20, 2020 22959904 Aug 21, 2020 23224361 Aug 22, 2020 23430769 Aug 23, 2020 23655997 Aug 24, 2020 23899722 Aug 25, 2020 24183850 Aug 26, 2020 24467592 Aug 27, 2020 24751260 Aug 28, 2020 25017791 Aug 29, 2020 25239068 Aug 30, 2020 25501715 Aug 31, 2020 25766467 Sep 01, 2020 26049992 Sep 02, 2020 26331039 Sep 03, 2020 26644864 Sep 04, 2020 26914845 Sep 05, 2020 27145595 Sep 06, 2020 27363369 Sep 07, 2020 27605220 Sep 08, 2020 27889943 Sep 09, 2020 28189890 Sep 10, 2020 28510977 Sep 11, 2020 28797456 Sep 12, 2020 29040262 Sep 13, 2020 29303533 Sep 14, 2020 29588876 Sep 15, 2020 29892950 Sep 16, 2020 30207772 Sep 17, 2020 30533416 Sep 18, 2020 30825596 Sep 19, 2020 31077672 Sep 20, 2020 31353490 Sep 21, 2020 31637545 Sep 22, 2020 31912900 Sep 23, 2020 32265204 Sep 24, 2020 32595593 Sep 25, 2020 32883719 Sep 26, 2020 33135284 Sep 27, 2020 33389254 Sep 28, 2020 33671083 Sep 29, 2020 33999210 Sep 30, 2020 34317276 Oct 01, 2020 34614672 Oct 02, 2020 34946710 Oct 03, 2020 35208617 Oct 04, 2020 35509247 Oct 05, 2020 35835120 Oct 06, 2020 36185785 Oct 07, 2020 36547071 Oct 08, 2020 36907485 Oct 09, 2020 37264050 Oct 10, 2020 37551609 Oct 11, 2020 37842739 Oct 12, 2020 38161563 Oct 13, 2020 38543448 Oct 14, 2020 38950083 Oct 15, 2020 39361310 Oct 16, 2020 39733921 Oct 17, 2020 40050552 Oct 18, 2020 40436980 Oct 19, 2020 40825619 Oct 20, 2020 41269869 Oct 21, 2020 41742073 Oct 22, 2020 42238234 Oct 23, 2020 42694987 Oct 24, 2020 43055358 Oct 25, 2020 43541356 Oct 26, 2020 44010608 Oct 27, 2020 44521391 Oct 28, 2020 45071405 Oct 29, 2020 45641595 Oct 30, 2020 46117683 Oct 31, 2020 46579884 Nov 01, 2020 47140871 Nov 02, 2020 47693426 Nov 03, 2020 48203697 Nov 04, 2020 48799240 Nov 05, 2020 49442915 Nov 06, 2020 50040908 Nov 07, 2020 50520274 Nov 08, 2020 51022748 Nov 09, 2020 51580637 Nov 10, 2020 52228245 Nov 11, 2020 52875710 Nov 12, 2020 53526599 Nov 13, 2020 54121862 Nov 14, 2020 54596104 Nov 15, 2020 55127112 Nov 16, 2020 55734998 Nov 17, 2020 56361057 Nov 18, 2020 57012958 Nov 19, 2020 57680030 Nov 20, 2020 58268894 Nov 21, 2020 58757253 Nov 22, 2020 59276210 Nov 23, 2020 59865574 Nov 24, 2020 60501579 Nov 25, 2020 61086011 Nov 26, 2020 61757100 Nov 27, 2020 62355818 Nov 28, 2020 62842162 Nov 29, 2020 63347635 Nov 30, 2020 63956130 Dec 01, 2020 64603434 Dec 02, 2020 65295914 Dec 03, 2020 65976648 Dec 04, 2020 66619544 Dec 05, 2020 67158896 Dec 06, 2020 67673996 Dec 07, 2020 68311479 Dec 08, 2020 68980972 Dec 09, 2020 70475025 Dec 10, 2020 71174074 Dec 11, 2020 71797078 Dec 12, 2020 72345678 Dec 13, 2020 72870103 Dec 14, 2020 73494536 Dec 15, 2020 74228327 Dec 16, 2020 74964751 Dec 17, 2020 75682359 Dec 18, 2020 76298735 Dec 19, 2020 76832527 Dec 20, 2020 77374480 Dec 21, 2020 78020948 Dec 22, 2020 78712545 Dec 23, 2020 79384038 Dec 24, 2020 79851573 Dec 25, 2020 80364202 Dec 26, 2020 80797122 Dec 27, 2020 81285853 Dec 28, 2020 81951541 Dec 29, 2020 82708280 Dec 30, 2020 83424446 Dec 31, 2020 83963772 Jan 01, 2021 84586904 Jan 02, 2021 85122080 Jan 03, 2021 85672034 Jan 04, 2021 86405927'. It's a correct data table transferred from the image.",'Countries in which travel and tourism holds the largest share of government expenditure worldwide in 2013 <s> Response Share of total expenditures Seychelles 0.224 Dominican Republic 0.218 Jamaica 0.171 Mauritius 0.164 Barbados 0.161 Malta 0.114 Jordan 0.106 Iceland 0.103 Singapore 0.103 The Gambia 0.098 Cambodia 0.095 Cyprus 0.093 Lebanon 0.092 Indonesia 0.092 Estonia 0.082 Lao PDR 0.08 Paraguay 0.08 Greece 0.08 Hong Kong SAR 0.076 Tunisia 0.074'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1895.png,"'Number of child deaths per day due to child abuse and neglect in the United States from 1998 to 2018 <s> Year Number of child deaths per day Dec 31, 1997 3.13 Dec 31, 1998 3.82 Dec 31, 1999 3.72 Dec 31, 2000 3.56 Dec 31, 2001 3.84 Dec 31, 2002 4.11 Dec 31, 2003 4.08 Dec 31, 2004 4 Dec 31, 2005 4.19 Dec 31, 2006 4.82 Dec 31, 2007 4.77 Dec 31, 2008 4.85 Dec 31, 2009 5 Dec 31, 2010 4.33 Dec 31, 2011 4.45 Dec 31, 2012 4.25 Dec 31, 2013 4.36 Dec 31, 2014 4.55 Dec 31, 2015 4.74 Dec 31, 2016 4.68 Dec 31, 2017 4.85'. It's a correct data table transferred from the image.",'Between 1998 and 2018 the number of daily child deaths has generally increased. Between around 2007 and 2011 the numbers were particularly high.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-3120.png,"'Turnover from retail sale of food , beverages and tobacco in specialized stores in Croatia from 2008 to 2018 (in million euros) <s> Year Annual turnover in million euros 2018* 527.8 2017 545.5 2016 613.8 2015 645.3 2014 633 2013 652.3 2012 668.8 2011 280.3 2010 255.4 2009 299.8 2008 565.4'. It's a correct data table transferred from the image.",'The annual turnover started at just below 600 million in 2008 before dropping down to 300 million in 2009. The turnover then stayed down around 300 million until 2012 where it shot up to over 600 million. It has been gradually coming down since then to just over 500 million in 2018.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-1733.png,'Honduras : Total population from 2015 to 2025 (in million inhabitants) <s> Year Inhabitants in millions 2025* 10.85 2024* 10.66 2023* 10.48 2022* 10.29 2021* 10.12 2020* 9.94 2019 9.77 2018 9.6 2017 9.44 2016 9.27 2015 9.11'. It's a correct data table transferred from the image.,'This bar chart is called Honduras : Total population from 2015 to 2025 (in million inhabitants). The x-axis measures Year as a categorical scale starting at 2015 and ending at 2025*. Inhabitants in millions is drawn along a linear scale of range 0 to 10 on the y-axis.'. It's a correct data table transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-4616.png,"'Los Angeles Chargers franchise value from 2002 to 2020 (in million U.S. dollars) <s> Year Franchise value in million U.S. dollars Dec 31, 2001 447 Dec 31, 2002 561 Dec 31, 2003 622 Dec 31, 2004 678 Dec 31, 2005 731 Dec 31, 2006 826 Dec 31, 2007 888 Dec 31, 2008 917 Dec 31, 2009 907 Dec 31, 2010 920 Dec 31, 2011 936 Dec 31, 2012 949 Dec 31, 2013 995 Dec 31, 2014 1525 Dec 31, 2015 2080 Dec 31, 2016 2275 Dec 31, 2017 2275 Dec 31, 2018 2500 Dec 31, 2019 2600'. It's a correct data table transferred from the image.","'Los Angeles Chargers franchise value from 2002 to 2020 (in million U.S. dollars) is a line plot. The x-axis plots Year using a linear scale of range 2005 to 2015. A linear scale with a minimum of 0 and a maximum of 2,500 can be seen on the y-axis, labeled Franchise value in million U.S. dollars.'. It's a correct data table transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-22.png,"'{  ""title"": ""Number of hospitals in Germany from 2000 to 2017"",  ""data"": [    {""date"": ""Dec 31, 1999"", ""number_of_hospitals"": 3635},    {""date"": ""Dec 31, 2000"", ""number_of_hospitals"": 3628},    {""date"": ""Dec 31, 2001"", ""number_of_hospitals"": 3564},    {""date"": ""Dec 31, 2002"", ""number_of_hospitals"": 3513},    {""date"": ""Dec 31, 2003"", ""number_of_hospitals"": 3460},    {""date"": ""Dec 31, 2004"", ""number_of_hospitals"": 3409},    {""date"": ""Dec 31, 2005"", ""number_of_hospitals"": 3359},    {""date"": ""Dec 31, 2006"", ""number_of_hospitals"": 3326},    {""date"": ""Dec 31, 2007"", ""number_of_hospitals"": 3322},    {""date"": ""Dec 31, 2008"", ""number_of_hospitals"": 3324},    {""date"": ""Dec 31, 2009"", ""number_of_hospitals"": 3301},    {""date"": ""Dec 31, 2010"", ""number_of_hospitals"": 3278},    {""date"": ""Dec 31, 2011"", ""number_of_hospitals"": 3229},    {""date"": ""Dec 31, 2012"", ""number_of_hospitals"": 3183},    {""date"": ""Dec 31, 2013"", ""number_of_hospitals"": 3138},    {""date"": ""Dec 31, 2014"", ""number_of_hospitals"": 3108},    {""date"": ""Dec 31, 2015"", ""number_of_hospitals"": 3100},    {""date"": ""Dec 31, 2016"", ""number_of_hospitals"": 3084}  ]}'. It's a correct json file transferred from the image.",'Guyana : National debt from 2014 to 2024 (in billion U.S. dollars) <s> National debt in billion U.S. dollars Year 2.51 2024* 2.59 2023* 2.51 2022* 2.02 2021* 1.98 2020* 2.27 2019* 2.05 2018 1.84 2017 1.76 2016 1.59 2015 1.58 2014'. It's a correct json file transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-22.png,"'{""topic"": ""Number of hospitals in Germany from 2000 to 2017"",""sheets"": [    {        ""Year"": ""Dec 31, 1999"",        ""Number of hospitals"": 3635    },    {        ""Year"": ""Dec 31, 2000"",        ""Number of hospitals"": 3628    },    {        ""Year"": ""Dec 31, 2001"",        ""Number of hospitals"": 3564    },    {        ""Year"": ""Dec 31, 2002"",        ""Number of hospitals"": 3513    },    {        ""Year"": ""Dec 31, 2003"",        ""Number of hospitals"": 3460    },    {        ""Year"": ""Dec 31, 2004"",        ""Number of hospitals"": 3409    },    {        ""Year"": ""Dec 31, 2005"",        ""Number of hospitals"": 3359    },    {        ""Year"": ""Dec 31, 2006"",        ""Number of hospitals"": 3326    },    {        ""Year"": ""Dec 31, 2007"",        ""Number of hospitals"": 3322    },    {        ""Year"": ""Dec 31, 2008"",        ""Number of hospitals"": 3324    },    {        ""Year"": ""Dec 31, 2009"",        ""Number of hospitals"": 3301    },    {        ""Year"": ""Dec 31, 2010"",        ""Number of hospitals"": 3278    },    {        ""Year"": ""Dec 31, 2011"",        ""Number of hospitals"": 3229    },    {        ""Year"": ""Dec 31, 2012"",        ""Number of hospitals"": 3183    },    {        ""Year"": ""Dec 31, 2013"",        ""Number of hospitals"": 3138    },    {        ""Year"": ""Dec 31, 2014"",        ""Number of hospitals"": 3108    },    {        ""Year"": ""Dec 31, 2015"",        ""Number of hospitals"": 3100    },    {        ""Year"": ""Dec 31, 2016"",        ""Number of hospitals"": 3084    }]}'. It's a correct json file transferred from the image.",'South Africa : Distribution of employment by economic sector from 2010 to 2020 is a area diagram. The y-axis plots Agriculture while the x-axis measures Year.'. It's a correct json file transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-22.png,"'{  ""Title"": ""Number of hospitals in Germany from 2000 to 2017"",  ""Data"": [    {      ""Year"": ""Dec 31, 1999"",      ""Number of Hospitals"": 3635    },    {      ""Year"": ""Dec 31, 2000"",      ""Number of Hospitals"": 3628    },    {      ""Year"": ""Dec 31, 2001"",      ""Number of Hospitals"": 3564    },    {      ""Year"": ""Dec 31, 2002"",      ""Number of Hospitals"": 3513    },    {      ""Year"": ""Dec 31, 2003"",      ""Number of Hospitals"": 3460    },    {      ""Year"": ""Dec 31, 2004"",      ""Number of Hospitals"": 3409    },    {      ""Year"": ""Dec 31, 2005"",      ""Number of Hospitals"": 3359    },    {      ""Year"": ""Dec 31, 2006"",      ""Number of Hospitals"": 3326    },    {      ""Year"": ""Dec 31, 2007"",      ""Number of Hospitals"": 3322    },    {      ""Year"": ""Dec 31, 2008"",      ""Number of Hospitals"": 3324    },    {      ""Year"": ""Dec 31, 2009"",      ""Number of Hospitals"": 3301    },    {      ""Year"": ""Dec 31, 2010"",      ""Number of Hospitals"": 3278    },    {      ""Year"": ""Dec 31, 2011"",      ""Number of Hospitals"": 3229    },    {      ""Year"": ""Dec 31, 2012"",      ""Number of Hospitals"": 3183    },    {      ""Year"": ""Dec 31, 2013"",      ""Number of Hospitals"": 3138    },    {      ""Year"": ""Dec 31, 2014"",      ""Number of Hospitals"": 3108    },    {      ""Year"": ""Dec 31, 2015"",      ""Number of Hospitals"": 3100    },    {      ""Year"": ""Dec 31, 2016"",      ""Number of Hospitals"": 3084    }  ]}'. It's a correct json file transferred from the image.","'Number of coronavirus (COVID-19) recoveries in Romania as of January 8 , 2021 (in 1,000s) <s> Year Number of people in thousands Jun 04, 2020 13.92 Jun 16, 2020 16.07 Jun 20, 2020 16.74 Jun 24, 2020 17.39 Jun 28, 2020 18.81 Jul 02, 2020 19.36 Jul 06, 2020 20.21 Jul 10, 2020 21.13 Jul 14, 2020 21.8 Jul 18, 2020 22.49 Jul 22, 2020 24.66 Jul 26, 2020 25.64 Jul 30, 2020 26.61 Aug 03, 2020 27.75 Aug 07, 2020 29.29 Aug 11, 2020 30.59 Aug 15, 2020 32.33 Aug 19, 2020 33.57 Aug 23, 2020 35.29 Aug 27, 2020 36.68 Aug 31, 2020 37.87 Sep 04, 2020 39.63 Sep 07, 2020 40.45 Sep 10, 2020 41.01 Sep 13, 2020 43.24 Sep 17, 2020 88.24 Sep 19, 2020 89.77 Sep 21, 2020 92.17 Sep 23, 2020 94.88 Sep 25, 2020 97.55 Sep 27, 2020 99.34 Sep 29, 2020 102.48 Oct 01, 2020 105.58 Oct 03, 2020 108.14 Oct 05, 2020 109.9 Oct 07, 2020 113.11 Oct 09, 2020 116.63 Oct 12, 2020 120.52 Oct 15, 2020 127.08 Oct 18, 2020 132.08 Oct 21, 2020 141.09 Oct 24, 2020 149.74 Oct 27, 2020 159.85 Oct 30, 2020 172.51 Nov 02, 2020 181.18 Nov 05, 2020 195.97 Nov 08, 2020 206.79 Nov 11, 2020 224.92 Nov 14, 2020 243.83 Nov 17, 2020 261.39 Nov 20, 2020 287.31 Nov 23, 2020 304.19 Nov 26, 2020 326.66 Nov 29, 2020 353.19 Dec 02, 2020 381 Dec 05, 2020 405.61 Dec 08, 2020 425.82 Dec 11, 2020 451.48 Dec 14, 2020 465.05 Dec 17, 2020 484.95 Dec 20, 2020 501.9 Dec 22, 2020 516.42 Dec 25, 2020 536.33 Dec 28, 2020 549.26 Dec 31, 2020 566.37 Jan 01, 2021 571.33 Jan 02, 2021 574.9 Jan 03, 2021 577.2 Jan 04, 2021 581.86 Jan 05, 2021 586.76 Jan 06, 2021 591.6 Jan 07, 2021 595.01'. It's a correct json file transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-36.png,"'{  ""title"": ""Number of mobile customers of Vodafone in Germany in the corporate years from 2008/09 to 2019/2020 (in millions)"",  ""data"": [    {      ""Year"": ""2019/20"",      ""Mobile Customers (in millions)"": ""30.05""    },    {      ""Year"": ""2018/19"",      ""Mobile Customers (in millions)"": ""29.54""    },    {      ""Year"": ""2017/18"",      ""Mobile Customers (in millions)"": ""30.17""    },    {      ""Year"": ""2016/17"",      ""Mobile Customers (in millions)"": ""30.72""    },    {      ""Year"": ""2015/16"",      ""Mobile Customers (in millions)"": ""30.33""    },    {      ""Year"": ""2014/15"",      ""Mobile Customers (in millions)"": ""30.94""    },    {      ""Year"": ""2013/14"",      ""Mobile Customers (in millions)"": ""32.31""    },    {      ""Year"": ""2012/13"",      ""Mobile Customers (in millions)"": ""32.41""    },    {      ""Year"": ""2011/12"",      ""Mobile Customers (in millions)"": ""36.46""    },    {      ""Year"": ""2010/11"",      ""Mobile Customers (in millions)"": ""36.71""    },    {      ""Year"": ""2009/10"",      ""Mobile Customers (in millions)"": ""34.54""    },    {      ""Year"": ""2008/09"",      ""Mobile Customers (in millions)"": ""35.45""    }  ]}'. It's a correct json file transferred from the image.",'Apache Corporation 's revenue from 2007 to 2019 (in million U.S. dollars) <s> Year Revenue in million U.S. dollars 2019 6315 2018 7348 2017 5887 2016 5367 2015 6510 2014 12795 2013 14825 2012 14965 2011* 14603 2010 11742 2009 8615 2008 12390 2007 9999'. It's a correct json file transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-37.png,"'{  ""Title"": ""Real value of U.S. fossil fuel imports from 1960 to 2011 (in billion U.S. dollars)"",  ""Data"": [    {      ""Year"": ""Dec 31, 1959"",      ""Real Value (in billion U.S. dollars)"": 8.91    },    {      ""Year"": ""Dec 31, 1969"",      ""Real Value (in billion U.S. dollars)"": 12.34    },    {      ""Year"": ""Dec 31, 1979"",      ""Real Value (in billion U.S. dollars)"": 164.75    },    {      ""Year"": ""Dec 31, 1989"",      ""Real Value (in billion U.S. dollars)"": 88.32    },    {      ""Year"": ""Dec 31, 1994"",      ""Real Value (in billion U.S. dollars)"": 70.64    },    {      ""Year"": ""Dec 31, 1999"",      ""Real Value (in billion U.S. dollars)"": 151.95    },    {      ""Year"": ""Dec 31, 2004"",      ""Real Value (in billion U.S. dollars)"": 287.52    },    {      ""Year"": ""Dec 31, 2005"",      ""Real Value (in billion U.S. dollars)"": 320.57    },    {      ""Year"": ""Dec 31, 2006"",      ""Real Value (in billion U.S. dollars)"": 340.29    },    {      ""Year"": ""Dec 31, 2007"",      ""Real Value (in billion U.S. dollars)"": 449.64    },    {      ""Year"": ""Dec 31, 2008"",      ""Real Value (in billion U.S. dollars)"": 245.23    },    {      ""Year"": ""Dec 31, 2009"",      ""Real Value (in billion U.S. dollars)"": 317.29    },    {      ""Year"": ""Dec 31, 2010"",      ""Real Value (in billion U.S. dollars)"": 399.43    }  ]}'. It's a correct json file transferred from the image.",'Here a is a bar graph called Net sales growth of the world 's leading 10 consumer products companies in 2013. The x-axis measures Company (Country of origin) using categorical scale starting at Apple (United States) and ending at Unilever (Netherlands and U.K.) while the y-axis plots Net sales growth with linear scale from 0.00 to 0.20.'. It's a correct json file transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-38.png,"'{   ""title"":""Quantity of roses sold in the U.S. from 2002 to 2018"",   ""unit"":""1,000 stems"",   ""data"":[      {         ""year"":2002,         ""sales"":157253      },      {         ""year"":2003,         ""sales"":123483      },      {         ""year"":2004,         ""sales"":103860      },      {         ""year"":2005,         ""sales"":99771      },      {         ""year"":2006,         ""sales"":82138      },      {         ""year"":2007,         ""sales"":67701      },      {         ""year"":2008,         ""sales"":57999      },      {         ""year"":2009,         ""sales"":42031      },      {         ""year"":2010,         ""sales"":39497      },      {         ""year"":2011,         ""sales"":37004      },      {         ""year"":2012,         ""sales"":32736      },      {         ""year"":2013,         ""sales"":28626      },      {         ""year"":2014,         ""sales"":30555      },      {         ""year"":2015,         ""sales"":27812      },      {         ""year"":2018,         ""sales"":29774      }   ]}'. It's a correct json file transferred from the image.",'Men 's singles US Open tennis tournaments won from 1968 to 2020 <s> Number of US Open titles player 5 Jimmy Connors 5 Roger Federer 5 Pete Sampras 4 John McEnroe 4 Rafael Nadal 3 Ivan Lendl 3 Novak Djokovic 2 Patrick Rafter 2 Stefan Edberg 2 Stan Smith 2 Arthur Ashe 2 John Newcombe*'. It's a correct json file transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-38.png,"'{  ""title"": ""Quantity of roses sold in the U.S. from 2002 to 2018 (in 1,000 stems)"",  ""data"": [    {""Year"": 2002, ""Sales in 1,000 stems"": 157253},    {""Year"": 2003, ""Sales in 1,000 stems"": 123483},    {""Year"": 2004, ""Sales in 1,000 stems"": 103860},    {""Year"": 2005, ""Sales in 1,000 stems"": 99771},    {""Year"": 2006, ""Sales in 1,000 stems"": 82138},    {""Year"": 2007, ""Sales in 1,000 stems"": 67701},    {""Year"": 2008, ""Sales in 1,000 stems"": 57999},    {""Year"": 2009, ""Sales in 1,000 stems"": 42031},    {""Year"": 2010, ""Sales in 1,000 stems"": 39497},    {""Year"": 2011, ""Sales in 1,000 stems"": 37004},    {""Year"": 2012, ""Sales in 1,000 stems"": 32736},    {""Year"": 2013, ""Sales in 1,000 stems"": 28626},    {""Year"": 2014, ""Sales in 1,000 stems"": 30555},    {""Year"": 2015, ""Sales in 1,000 stems"": 27812},    {""Year"": 2018, ""Sales in 1,000 stems"": 29774}  ]}'. It's a correct json file transferred from the image.","'Which , if any , of the following measures have you taken in the past 2 weeks specifically to protect yourself from the Coronavirus (COVID-19) ? <s> Feb 29 to Mar 1 Response 0.14 Avoid crowded public places 0.35 Improve personal hygiene (e.g. washing hands more frequently, using hand sanitizer) 0.14 Refrain from touching objects in public 0.02 Avoid going to work 0.09 Avoid physical contact with tourists 0.06 Avoid consumption of raw or uncooked meat 0.01 Wear a face mask in public places 0.54 No measures taken'. It's a correct json file transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-38.png,"'{  ""title"": ""Quantity of roses sold in the U.S. from 2002 to 2018 (in 1,000 stems)"",  ""data"": [    {""Year"": 2002, ""Sales in 1,000 stems"": 157253},    {""Year"": 2003, ""Sales in 1,000 stems"": 123483},    {""Year"": 2004, ""Sales in 1,000 stems"": 103860},    {""Year"": 2005, ""Sales in 1,000 stems"": 99771},    {""Year"": 2006, ""Sales in 1,000 stems"": 82138},    {""Year"": 2007, ""Sales in 1,000 stems"": 67701},    {""Year"": 2008, ""Sales in 1,000 stems"": 57999},    {""Year"": 2009, ""Sales in 1,000 stems"": 42031},    {""Year"": 2010, ""Sales in 1,000 stems"": 39497},    {""Year"": 2011, ""Sales in 1,000 stems"": 37004},    {""Year"": 2012, ""Sales in 1,000 stems"": 32736},    {""Year"": 2013, ""Sales in 1,000 stems"": 28626},    {""Year"": 2014, ""Sales in 1,000 stems"": 30555},    {""Year"": 2015, ""Sales in 1,000 stems"": 27812},    {""Year"": 2018, ""Sales in 1,000 stems"": 29774}  ]}'. It's a correct json file transferred from the image.","'Share of households owning pets by type and region in the United Kingdom (UK) from 2016 to 2019 is a bar chart. There is a categorical scale from East Midlands to Yorks&Humber along the y-axis, labeled region in the United Kingdom. Cats is measured on the x-axis.'. It's a correct json file transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-68.png,"'{  ""title"": ""Brunswick number of employees worldwide from 2009 to 2019"",  ""data"": [    {      ""Year"": ""Dec 31, 2008"",      ""Number of employees"": 15003    },    {      ""Year"": ""Dec 31, 2009"",      ""Number of employees"": 15290    },    {      ""Year"": ""Dec 31, 2010"",      ""Number of employees"": 15356    },    {      ""Year"": ""Dec 31, 2011"",      ""Number of employees"": 16177    },    {      ""Year"": ""Dec 31, 2012"",      ""Number of employees"": 15701    },    {      ""Year"": ""Dec 31, 2013"",      ""Number of employees"": 12165    },    {      ""Year"": ""Dec 31, 2014"",      ""Number of employees"": 12607    },    {      ""Year"": ""Dec 31, 2015"",      ""Number of employees"": 14415    },    {      ""Year"": ""Dec 31, 2016"",      ""Number of employees"": 15116    },    {      ""Year"": ""Dec 31, 2017"",      ""Number of employees"": 13084    },    {      ""Year"": ""Dec 31, 2018"",      ""Number of employees"": 12828    }  ]}'. It's a correct json file transferred from the image.","'This line chart is titled Annual revenue generated by Activision Blizzard from 2007 to 2019 , by region (in million U.S. dollars). A linear scale of range 2008 to 2018 can be seen along the x-axis, marked Year. Along the y-axis, Asia Pacific is shown.'. It's a correct json file transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-68.png,"'{  ""Subject"": ""Brunswick number of employees worldwide from 2009 to 2019"",  ""Data"": [    {      ""Year"": ""Dec 31, 2008"",      ""Number of employees"": 15003    },    {      ""Year"": ""Dec 31, 2009"",      ""Number of employees"": 15290    },    {      ""Year"": ""Dec 31, 2010"",      ""Number of employees"": 15356    },    {      ""Year"": ""Dec 31, 2011"",      ""Number of employees"": 16177    },    {      ""Year"": ""Dec 31, 2012"",      ""Number of employees"": 15701    },    {      ""Year"": ""Dec 31, 2013"",      ""Number of employees"": 12165    },    {      ""Year"": ""Dec 31, 2014"",      ""Number of employees"": 12607    },    {      ""Year"": ""Dec 31, 2015"",      ""Number of employees"": 14415    },    {      ""Year"": ""Dec 31, 2016"",      ""Number of employees"": 15116    },    {      ""Year"": ""Dec 31, 2017"",      ""Number of employees"": 13084    },    {      ""Year"": ""Dec 31, 2018"",      ""Number of employees"": 12828    }  ]}'. It's a correct json file transferred from the image.","'Here a area chart is called Birth rate in Italy from 2002 to 2019 (per 1,000 inhabitants). The y-axis plots Birth rate per thousand inhabitants while the x-axis shows Year.'. It's a correct json file transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-76.png,"'{  ""Topic"": ""Non-English main home languages ranked by number of speakers in Welsh schools in 2020"",  ""Data"": [    {      ""geographic region"": ""Polish"",      ""Number of speakers"": 4961    },    {      ""geographic region"": ""Arabic"",      ""Number of speakers"": 3484    },    {      ""geographic region"": ""Bengali"",      ""Number of speakers"": 3019    },    {      ""geographic region"": ""Urdu"",      ""Number of speakers"": 1508    },    {      ""geographic region"": ""Chinese"",      ""Number of speakers"": 1466    },    {      ""geographic region"": ""Panjabi"",      ""Number of speakers"": 1242    },    {      ""geographic region"": ""Romanian"",      ""Number of speakers"": 1091    },    {      ""geographic region"": ""Somali"",      ""Number of speakers"": 852    },    {      ""geographic region"": ""Portuguese"",      ""Number of speakers"": 846    },    {      ""geographic region"": ""Tagalog/Filipino"",      ""Number of speakers"": 830    }  ]}'. It's a correct json file transferred from the image.","'Highest first week box office grossers from India as of June 2020 , by worldwide revenue (in million Indian rupees) <s> film Revenue in million Indian rupees Tanhaji- The unsung warrior 1534.23 Baaghi 3 1261.26 Street Dancer 3 695.12 Shubh Mangal Zyada Saavdhan 591.52 Malang 548.63 Love Aaj Kal 456.72 Chhapaak 397.06 Bhoot Part One- The haunted ship 302.56 Thappad 300.64 Jawaani Jaaneman 281.97'. It's a correct json file transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-99.png,"'{    ""title"": ""Total number of tribal casinos in the U.S. from 2005 to 2019"",    ""data"": [        {            ""Year"": ""Dec 31, 2004"",            ""Number of tribal casinos"": 406        },        {            ""Year"": ""Dec 31, 2005"",            ""Number of tribal casinos"": 372        },        {            ""Year"": ""Dec 31, 2006"",            ""Number of tribal casinos"": 424        },        {            ""Year"": ""Dec 31, 2007"",            ""Number of tribal casinos"": 423        },        {            ""Year"": ""Dec 31, 2008"",            ""Number of tribal casinos"": 456        },        {            ""Year"": ""Dec 31, 2009"",            ""Number of tribal casinos"": 456        },        {            ""Year"": ""Dec 31, 2010"",            ""Number of tribal casinos"": 459        },        {            ""Year"": ""Dec 31, 2011"",            ""Number of tribal casinos"": 466        },        {            ""Year"": ""Dec 31, 2013"",            ""Number of tribal casinos"": 474        },        {            ""Year"": ""Dec 31, 2014"",            ""Number of tribal casinos"": 486        },        {            ""Year"": ""Dec 31, 2015"",            ""Number of tribal casinos"": 500        },        {            ""Year"": ""Dec 31, 2016"",            ""Number of tribal casinos"": 508        },        {            ""Year"": ""Dec 31, 2017"",            ""Number of tribal casinos"": 514        },        {            ""Year"": ""Dec 31, 2018"",            ""Number of tribal casinos"": 524        }    ]}'. It's a correct json file transferred from the image.","'Mozambique : Fertility rate from 2008 to 2018 <s> Year Number of children born per woman Dec 31, 2007 5.52 Dec 31, 2008 5.45 Dec 31, 2009 5.39 Dec 31, 2010 5.33 Dec 31, 2011 5.26 Dec 31, 2012 5.2 Dec 31, 2013 5.13 Dec 31, 2014 5.06 Dec 31, 2015 4.99 Dec 31, 2016 4.92 Dec 31, 2017 4.85'. It's a correct json file transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-105.png,"'{  ""title"": ""Chad : Infant mortality rate from 2009 to 2019 (in deaths per 1,000 live births)"",  ""data"": [    {""Year"":""Dec 31, 2008"", ""Deaths per 1,000 live births"":86.2},    {""Year"":""Dec 31, 2009"", ""Deaths per 1,000 live births"":84.4},    {""Year"":""Dec 31, 2010"", ""Deaths per 1,000 live births"":82.7},    {""Year"":""Dec 31, 2011"", ""Deaths per 1,000 live births"":81},    {""Year"":""Dec 31, 2012"", ""Deaths per 1,000 live births"":79.3},    {""Year"":""Dec 31, 2013"", ""Deaths per 1,000 live births"":77.7},    {""Year"":""Dec 31, 2014"", ""Deaths per 1,000 live births"":76.1},    {""Year"":""Dec 31, 2015"", ""Deaths per 1,000 live births"":74.4},    {""Year"":""Dec 31, 2016"", ""Deaths per 1,000 live births"":72.6},    {""Year"":""Dec 31, 2017"", ""Deaths per 1,000 live births"":70.8},    {""Year"":""Dec 31, 2018"", ""Deaths per 1,000 live births"":69.1}  ]}'. It's a correct json file transferred from the image.","'Number of NAFTA visas issued by the U.S. Department of State from 2006 to 2018 <s> Year Number of visas issued Dec 31, 2005 73880 Dec 31, 2006 85142 Dec 31, 2007 88382 Dec 31, 2008 99018 Dec 31, 2009 634116 Dec 31, 2010 899455 Dec 31, 2011 733692 Dec 31, 2012 612535 Dec 31, 2013 712737 Dec 31, 2014 787180 Dec 31, 2015 817517 Dec 31, 2016 741899 Dec 31, 2017 731496'. It's a correct json file transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-130.png,"'{  ""title"": ""Two-wheeler sales in Manaus, Brazil from 2008 to 2018 (in million units)"",  ""data"": [    {      ""Year"": ""Dec 31, 2007"",      ""Unit sales in millions"": 1.9    },    {      ""Year"": ""Dec 31, 2008"",      ""Unit sales in millions"": 1.4    },    {      ""Year"": ""Dec 31, 2009"",      ""Unit sales in millions"": 1.6    },    {      ""Year"": ""Dec 31, 2010"",      ""Unit sales in millions"": 2.1    },    {      ""Year"": ""Dec 31, 2011"",      ""Unit sales in millions"": 1.7    },    {      ""Year"": ""Dec 31, 2012"",      ""Unit sales in millions"": 1.7    },    {      ""Year"": ""Dec 31, 2013"",      ""Unit sales in millions"": 1.5    },    {      ""Year"": ""Dec 31, 2014"",      ""Unit sales in millions"": 1.3    },    {      ""Year"": ""Dec 31, 2015"",      ""Unit sales in millions"": 0.9    },    {      ""Year"": ""Dec 31, 2016"",      ""Unit sales in millions"": 0.9    },    {      ""Year"": ""Dec 31, 2017"",      ""Unit sales in millions"": 1    }  ]}'. It's a correct json file transferred from the image.","'Here a is a bar diagram labeled Turnover from retail sale of food , beverages and tobacco in specialized stores in Greece from 2008 to 2018 (in million euros). On the y-axis, Annual turnover in million euros is drawn. A categorical scale with 2008 on one end and 2018* at the other can be found along the x-axis, labeled Year.'. It's a correct json file transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-169.png,"'{  ""title"": ""Number of people immigrating to Iceland in 2019, by country of origin"",  ""data"": [    {      ""country"": ""Poland"",      ""number"": 2642    },    {      ""country"": ""Lithuania"",      ""number"": 865    },    {      ""country"": ""Romania"",      ""number"": 563    },    {      ""country"": ""Latvia"",      ""number"": 358    },    {      ""country"": ""United Kingdom"",      ""number"": 345    },    {      ""country"": ""Czechia"",      ""number"": 341    },    {      ""country"": ""Spain"",      ""number"": 291    },    {      ""country"": ""United States"",      ""number"": 277    },    {      ""country"": ""Portugal"",      ""number"": 249    },    {      ""country"": ""Germany"",      ""number"": 243    },    {      ""country"": ""Philippines"",      ""number"": 197    },    {      ""country"": ""France"",      ""number"": 176    },    {      ""country"": ""Croatia"",      ""number"": 150    },    {      ""country"": ""Serbia"",      ""number"": 142    },    {      ""country"": ""Venezuela"",      ""number"": 134    },    {      ""country"": ""Denmark"",      ""number"": 127    },    {      ""country"": ""Slovakia"",      ""number"": 117    },    {      ""country"": ""Italy"",      ""number"": 115    },    {      ""country"": ""Bulgaria"",      ""number"": 101    },    {      ""country"": ""Hungary"",      ""number"": 91    }  ]}'. It's a correct json file transferred from the image.","'This bar diagram is labeled Cancer incidence rates among men in selected countries worldwide between 2003 and 2007 (per 100,000 population). The x-axis plots Incidence rate per 100,000 population along linear scale with a minimum of 0 and a maximum of 400 while the y-axis shows Country on categorical scale from Australia to Uganda.'. It's a correct json file transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-179.png,"'{  ""title"": ""Average daily time spent on mobile web by smartphone users in Asia Pacific in July 2016 , by country (in minutes)"",  ""data"": [    {      ""country"": ""Indonesia"",      ""average_daily_usage_time_in_minutes"": 66    },    {      ""country"": ""India"",      ""average_daily_usage_time_in_minutes"": 62    },    {      ""country"": ""Philippines"",      ""average_daily_usage_time_in_minutes"": 56    },    {      ""country"": ""China"",      ""average_daily_usage_time_in_minutes"": 55    },    {      ""country"": ""Malaysia"",      ""average_daily_usage_time_in_minutes"": 54    },    {      ""country"": ""Thailand"",      ""average_daily_usage_time_in_minutes"": 50    },    {      ""country"": ""South Korea"",      ""average_daily_usage_time_in_minutes"": 50    },    {      ""country"": ""Vietnam"",      ""average_daily_usage_time_in_minutes"": 47    },    {      ""country"": ""Singapore"",      ""average_daily_usage_time_in_minutes"": 46    },    {      ""country"": ""Japan"",      ""average_daily_usage_time_in_minutes"": 38    }  ]}'. It's a correct json file transferred from the image.",'Share of voice on sportsbooks among leading websites in the United States from July to September 2019 <s> Response Share of voice Wikipedia (wikipedia.org) 0.0496 Odds Shark (oddsshark.com) 0.0453 Casino.Org (casino.org) 0.044 BET (bet.com) 0.043 CardsChat (cardschat.com) 0.0348 MyBookie (mybookie.ag) 0.0333 ESPN (espn.com) 0.0248 VegasInsider.com (vegasinsider.com) 0.0239 PlayUSA (playusa.com) 0.0182 YouTube (youtube.com) 0.0178 BetOnline (betonline.ag) 0.0142 Facebook (facebook.com) 0.0138'. It's a correct json file transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-179.png,"'{  ""title"": ""Average daily time spent on mobile web by smartphone users in Asia Pacific in July 2016, by country"",  ""data"": [    {      ""Country"": ""Indonesia"",      ""Average daily usage time in minutes"": 66    },    {      ""Country"": ""India"",      ""Average daily usage time in minutes"": 62    },    {      ""Country"": ""Philippines"",      ""Average daily usage time in minutes"": 56    },    {      ""Country"": ""China"",      ""Average daily usage time in minutes"": 55    },    {      ""Country"": ""Malaysia"",      ""Average daily usage time in minutes"": 54    },    {      ""Country"": ""Thailand"",      ""Average daily usage time in minutes"": 50    },    {      ""Country"": ""South Korea"",      ""Average daily usage time in minutes"": 50    },    {      ""Country"": ""Vietnam"",      ""Average daily usage time in minutes"": 47    },    {      ""Country"": ""Singapore"",      ""Average daily usage time in minutes"": 46    },    {      ""Country"": ""Japan"",      ""Average daily usage time in minutes"": 38    }  ]}'. It's a correct json file transferred from the image.",'Average (mean) private weekly rent in England from 2008/2009 to 2018/2019 (in GBP) is a bar diagram. Excluding London is drawn along a linear scale with a minimum of 0 and a maximum of 150 on the x-axis. The y-axis plots Year using a categorical scale starting at 2008/09 and ending at 2018/19.'. It's a correct json file transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-179.png,"'{  ""Title"": ""Average daily time spent on mobile web by smartphone users in Asia Pacific in July 2016, by country"",  ""Data"": [    {      ""Country"": ""Indonesia"",      ""Average daily usage time in minutes"": 66    },    {      ""Country"": ""India"",      ""Average daily usage time in minutes"": 62    },    {      ""Country"": ""Philippines"",      ""Average daily usage time in minutes"": 56    },    {      ""Country"": ""China"",      ""Average daily usage time in minutes"": 55    },    {      ""Country"": ""Malaysia"",      ""Average daily usage time in minutes"": 54    },    {      ""Country"": ""Thailand"",      ""Average daily usage time in minutes"": 50    },    {      ""Country"": ""South Korea"",      ""Average daily usage time in minutes"": 50    },    {      ""Country"": ""Vietnam"",      ""Average daily usage time in minutes"": 47    },    {      ""Country"": ""Singapore"",      ""Average daily usage time in minutes"": 46    },    {      ""Country"": ""Japan"",      ""Average daily usage time in minutes"": 38    }  ]}'. It's a correct json file transferred from the image.","'Pear production in the United States from 2000 to 2019 (in tons) is a area diagram. There is a linear scale of range 2000 to 2015 on the x-axis, labeled Year. There is a linear scale with a minimum of 0 and a maximum of 1,000,000 along the y-axis, marked Production in tons.'. It's a correct json file transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-180.png,"'{""title"":""Per capita consumption of fresh sweet corn in the United States from 2000 to 2019 (in pounds)"",""data"": [    {""Year"": ""Dec 31, 1999"", ""Per capita consumption in pounds"": 9},    {""Year"": ""Dec 31, 2000"", ""Per capita consumption in pounds"": 9.2},    {""Year"": ""Dec 31, 2001"", ""Per capita consumption in pounds"": 9},    {""Year"": ""Dec 31, 2002"", ""Per capita consumption in pounds"": 9.2},    {""Year"": ""Dec 31, 2003"", ""Per capita consumption in pounds"": 9},    {""Year"": ""Dec 31, 2004"", ""Per capita consumption in pounds"": 8.7},    {""Year"": ""Dec 31, 2005"", ""Per capita consumption in pounds"": 8.3},    {""Year"": ""Dec 31, 2006"", ""Per capita consumption in pounds"": 9.2},    {""Year"": ""Dec 31, 2007"", ""Per capita consumption in pounds"": 9.1},    {""Year"": ""Dec 31, 2008"", ""Per capita consumption in pounds"": 9.2},    {""Year"": ""Dec 31, 2009"", ""Per capita consumption in pounds"": 9.2},    {""Year"": ""Dec 31, 2010"", ""Per capita consumption in pounds"": 8.2},    {""Year"": ""Dec 31, 2011"", ""Per capita consumption in pounds"": 8.7},    {""Year"": ""Dec 31, 2012"", ""Per capita consumption in pounds"": 8.9},    {""Year"": ""Dec 31, 2013"", ""Per capita consumption in pounds"": 7.6},    {""Year"": ""Dec 31, 2014"", ""Per capita consumption in pounds"": 8.6},    {""Year"": ""Dec 31, 2015"", ""Per capita consumption in pounds"": 7.2},    {""Year"": ""Dec 31, 2016"", ""Per capita consumption in pounds"": 7.2},    {""Year"": ""Dec 31, 2017"", ""Per capita consumption in pounds"": 6.8},    {""Year"": ""Dec 31, 2018"", ""Per capita consumption in pounds"": 6.77} ]}'. It's a correct json file transferred from the image.","'Here a area plot is named Population of the Memphis metro area in the United States from 2010 to 2019. A linear scale with a minimum of 2010 and a maximum of 2018 can be seen along the x-axis, labeled Year. On the y-axis, Number of residents is measured.'. It's a correct json file transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-184.png,"'{  ""title"": ""Poverty rate in New Hampshire from 2000 to 2019"",  ""data"": [    {""date"": ""Dec 31, 1999"", ""percentage"": 0.053},    {""date"": ""Dec 31, 2000"", ""percentage"": 0.06},    {""date"": ""Dec 31, 2001"", ""percentage"": 0.064},    {""date"": ""Dec 31, 2002"", ""percentage"": 0.077},    {""date"": ""Dec 31, 2003"", ""percentage"": 0.076},    {""date"": ""Dec 31, 2004"", ""percentage"": 0.075},    {""date"": ""Dec 31, 2005"", ""percentage"": 0.08},    {""date"": ""Dec 31, 2006"", ""percentage"": 0.071},    {""date"": ""Dec 31, 2007"", ""percentage"": 0.076},    {""date"": ""Dec 31, 2008"", ""percentage"": 0.085},    {""date"": ""Dec 31, 2009"", ""percentage"": 0.083},    {""date"": ""Dec 31, 2010"", ""percentage"": 0.088},    {""date"": ""Dec 31, 2011"", ""percentage"": 0.1},    {""date"": ""Dec 31, 2012"", ""percentage"": 0.087},    {""date"": ""Dec 31, 2013"", ""percentage"": 0.092},    {""date"": ""Dec 31, 2014"", ""percentage"": 0.082},    {""date"": ""Dec 31, 2015"", ""percentage"": 0.073},    {""date"": ""Dec 31, 2016"", ""percentage"": 0.077},    {""date"": ""Dec 31, 2017"", ""percentage"": 0.076},    {""date"": ""Dec 31, 2018"", ""percentage"": 0.073}  ]}'. It's a correct json file transferred from the image.",'Total number of magnetic resonance imaging (MRI) units in the United Kingdom (UK) from 2000 to 2014 <s> Year Number of scanners 2014* 467 2013* 462 2012* 456 2011* 441 2010 * 411 2008 * 340 2006* 342 2005 326 2004 300 2003 * 271 2002 * 296 2001 * 367 2000* 331'. It's a correct json file transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-193.png,"'{  ""title"": ""Ten most popular F.C. Internazionale Milano players on Instagram as of May 29 , 2020 (in million followers)"",  ""players"": [    {      ""name"": ""Lukaku"",      ""followers"": 5.3    },    {      ""name"": ""Young"",      ""followers"": 2.49    },    {      ""name"": ""Godín"",      ""followers"": 1.81    },    {      ""name"": ""Martínez"",      ""followers"": 1.75    },    {      ""name"": ""Asamoah"",      ""followers"": 0.93    },    {      ""name"": ""Brozovic"",      ""followers"": 0.83    },    {      ""name"": ""Skriniar"",      ""followers"": 0.65    },    {      ""name"": ""D'Ambrosio"",      ""followers"": 0.57    },    {      ""name"": ""De Vrij"",      ""followers"": 0.49    },    {      ""name"": ""Barella"",      ""followers"": 0.46    }  ]}'. It's a correct json file transferred from the image.","'Per capita real Gross Domestic Product of Massachusetts from 2000 to 2019 (in chained 2012 U.S. dollars) <s> Year Per capita real GDP in chained 2012 U.S. dollars Dec 31, 1999 56519 Dec 31, 2000 56651 Dec 31, 2001 56847 Dec 31, 2002 58203 Dec 31, 2003 59805 Dec 31, 2004 61030 Dec 31, 2005 62050 Dec 31, 2006 63433 Dec 31, 2007 63782 Dec 31, 2008 62609 Dec 31, 2009 64661 Dec 31, 2010 65732 Dec 31, 2011 66686 Dec 31, 2012 66266 Dec 31, 2013 67117 Dec 31, 2014 69343 Dec 31, 2015 70192 Dec 31, 2016 71553 Dec 31, 2017 73529 Dec 31, 2018 75258'. It's a correct json file transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-193.png,"'{  ""title"": ""Ten most popular F.C . Internazionale Milano players on Instagram as of May 29 , 2020 (in million followers)"",  ""data"": [    {      ""player"": ""Romelu Lukaku"",      ""number_of_followers_in_millions"": 5.3    },    {      ""player"": ""Ashley Young"",      ""number_of_followers_in_millions"": 2.49    },    {      ""player"": ""Diego Godín"",      ""number_of_followers_in_millions"": 1.81    },    {      ""player"": ""Lautaro Martínez"",      ""number_of_followers_in_millions"": 1.75    },    {      ""player"": ""Kwadwo Asamoah"",      ""number_of_followers_in_millions"": 0.93    },    {      ""player"": ""Marcelo Brozovic"",      ""number_of_followers_in_millions"": 0.83    },    {      ""player"": ""Milan Skriniar"",      ""number_of_followers_in_millions"": 0.65    },    {      ""player"": ""Danilo D'Ambrosio"",      ""number_of_followers_in_millions"": 0.57    },    {      ""player"": ""Stefan De Vrij"",      ""number_of_followers_in_millions"": 0.49    },    {      ""player"": ""Nicolò Barella"",      ""number_of_followers_in_millions"": 0.46    }  ]}'. It's a correct json file transferred from the image.",'Top Google search queries in the United States in 2019 (index value) is a bar chart. The x-axis shows Index rating as linear scale from 0 to 100 while the y-axis measures Platform as categorical scale with Amazon on one end and Youtube at the other.'. It's a correct json file transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-195.png,"'{  ""topic"": ""Turkey : Share in the global gross domestic product (GDP) , adjusted for purchasing power parity , from 2015 to 2025"",  ""data"": [    {""Year"": 2015, ""Share in global GDP adjusted for PPP"": 0.0182},    {""Year"": 2016, ""Share in global GDP adjusted for PPP"": 0.0184},    {""Year"": 2017, ""Share in global GDP adjusted for PPP"": 0.0188},    {""Year"": 2018, ""Share in global GDP adjusted for PPP"": 0.0187},    {""Year"": 2019, ""Share in global GDP adjusted for PPP"": 0.0184},    {""Year"": 2020, ""Share in global GDP adjusted for PPP"": 0.0183},    {""Year"": 2021, ""Share in global GDP adjusted for PPP"": 0.0183},    {""Year"": 2022, ""Share in global GDP adjusted for PPP"": 0.0183},    {""Year"": 2023, ""Share in global GDP adjusted for PPP"": 0.0182},    {""Year"": 2024, ""Share in global GDP adjusted for PPP"": 0.0182},    {""Year"": 2025, ""Share in global GDP adjusted for PPP"": 0.0182}  ]}'. It's a correct json file transferred from the image.",'Revenue of the mechanical engineering industry in Brazil from 2006 to 2017 (in billion U.S. dollars) <s> Year Revenue in billion U.S. dollars 2017** 36.96 2016** 30.8 2015 35.72 2014 48.04 2013 46.81 2012 46.81 2011 46.81 2010 44.35 2009 29.56 2008 34.49 2007 33.26 2006 23.41'. It's a correct json file transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-228.png,"'{  ""title"": ""Year-on-year change in turnover of furniture manufacturing industry in the Netherlands from 2008 to 2019"",  ""data"": [    {      ""date"": ""Dec 31, 2007"",      ""change"": -0.062    },    {      ""date"": ""Dec 31, 2008"",      ""change"": -0.168    },    {      ""date"": ""Dec 31, 2009"",      ""change"": -0.004    },    {      ""date"": ""Dec 31, 2010"",      ""change"": -0.036    },    {      ""date"": ""Dec 31, 2011"",      ""change"": -0.003    },    {      ""date"": ""Dec 31, 2012"",      ""change"": -0.081    },    {      ""date"": ""Dec 31, 2013"",      ""change"": -0.012    },    {      ""date"": ""Dec 31, 2014"",      ""change"": 0.078    },    {      ""date"": ""Dec 31, 2015"",      ""change"": 0.037    },    {      ""date"": ""Dec 31, 2016"",      ""change"": 0.039    },    {      ""date"": ""Dec 31, 2017"",      ""change"": 0.064    },    {      ""date"": ""Dec 31, 2018"",      ""change"": -0.034    }  ]}'. It's a correct json file transferred from the image.","'Las Vegas strip table gaming revenue mix from 2000 to 2019 <s> Year Baccarat Dec 31, 1999 0.2381 Dec 31, 2000 0.2025 Dec 31, 2001 0.1996 Dec 31, 2002 0.1764 Dec 31, 2003 0.2148 Dec 31, 2004 0.2501 Dec 31, 2005 0.2777 Dec 31, 2006 0.2911 Dec 31, 2007 0.2827 Dec 31, 2008 0.3791 Dec 31, 2009 0.4143 Dec 31, 2010 0.4259 Dec 31, 2011 0.4388 Dec 31, 2012 0.468 Dec 31, 2013 0.4585 Dec 31, 2014 0.4182 Dec 31, 2015 0.397 Dec 31, 2016 0.3736 Dec 31, 2017 0.3961 Dec 31, 2018 0.3687'. It's a correct json file transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-241.png,"'{  ""topic"": ""Main coronavirus (COVID-19) -related issues affecting the agriculture in Italy in 2020"",  ""data"": [    {      ""issue"": ""Lower sales"",      ""share_of_respondents"": 0.57    },    {      ""issue"": ""Outsourcing of external services (logistics)"",      ""share_of_respondents"": 0.23    },    {      ""issue"": ""Sourcing of raw materials"",      ""share_of_respondents"": 0.14    },    {      ""issue"": ""Absent employees"",      ""share_of_respondents"": 0.13    },    {      ""issue"": ""Canceled trade fairs"",      ""share_of_respondents"": 0.12    },    {      ""issue"": ""Pick up of raw material from manufacturers"",      ""share_of_respondents"": 0.08    },    {      ""issue"": ""Prevention in workplace"",      ""share_of_respondents"": 0.05    },    {      ""issue"": ""Request to lower prices"",      ""share_of_respondents"": 0.04    },    {      ""issue"": ""Protesting among the employees"",      ""share_of_respondents"": 0.01    },    {      ""issue"": ""Higher demand"",      ""share_of_respondents"": 0.01    }  ]}'. It's a correct json file transferred from the image.","'This bar graph is named Number of stolen or lost firearms in the U.S. in 2019 , by state. There is a linear scale from 0 to 1,400 along the y-axis, labeled Number of firearms stolen or lost. On the x-axis, State is measured with a categorical scale from Alabama to Wyoming.'. It's a correct json file transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-244.png,"'{    ""title"": ""Total number of cash withdrawals from ATMs in the United Kingdom (UK) from 2001 to 2018 (in millions)"",    ""data"": [        {""year"": ""Dec 31, 2000"", ""withdrawals"": 2174},        {""year"": ""Dec 31, 2001"", ""withdrawals"": 2268},        {""year"": ""Dec 31, 2002"", ""withdrawals"": 2373},        {""year"": ""Dec 31, 2003"", ""withdrawals"": 2528},        {""year"": ""Dec 31, 2004"", ""withdrawals"": 2699},        {""year"": ""Dec 31, 2005"", ""withdrawals"": 2752},        {""year"": ""Dec 31, 2006"", ""withdrawals"": 2836},        {""year"": ""Dec 31, 2007"", ""withdrawals"": 2866},        {""year"": ""Dec 31, 2008"", ""withdrawals"": 2827},        {""year"": ""Dec 31, 2009"", ""withdrawals"": 2786},        {""year"": ""Dec 31, 2010"", ""withdrawals"": 2874},        {""year"": ""Dec 31, 2011"", ""withdrawals"": 2915},        {""year"": ""Dec 31, 2012"", ""withdrawals"": 2899},        {""year"": ""Dec 31, 2013"", ""withdrawals"": 2831},        {""year"": ""Dec 31, 2014"", ""withdrawals"": 2797},        {""year"": ""Dec 31, 2015"", ""withdrawals"": 2733},        {""year"": ""Dec 31, 2016"", ""withdrawals"": 2598},        {""year"": ""Dec 31, 2017"", ""withdrawals"": 2420}    ]}'. It's a correct json file transferred from the image.",'Here a bar plot is labeled French men 's favorite ready-to-wear brands in 2017. The x-axis plots Response as categorical scale from Armand Thierry to Zara while the y-axis measures Share of respondents with scale with a minimum of 0.00 and a maximum of 0.35.'. It's a correct json file transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-244.png,"'{  ""title"": ""Total number of cash withdrawals from ATMs in the United Kingdom (UK) from 2001 to 2018 (in millions)"",  ""data"": [    {""year"": ""2000"", ""withdrawals"": 2174},    {""year"": ""2001"", ""withdrawals"": 2268},    {""year"": ""2002"", ""withdrawals"": 2373},    {""year"": ""2003"", ""withdrawals"": 2528},    {""year"": ""2004"", ""withdrawals"": 2699},    {""year"": ""2005"", ""withdrawals"": 2752},    {""year"": ""2006"", ""withdrawals"": 2836},    {""year"": ""2007"", ""withdrawals"": 2866},    {""year"": ""2008"", ""withdrawals"": 2827},    {""year"": ""2009"", ""withdrawals"": 2786},    {""year"": ""2010"", ""withdrawals"": 2874},    {""year"": ""2011"", ""withdrawals"": 2915},    {""year"": ""2012"", ""withdrawals"": 2899},    {""year"": ""2013"", ""withdrawals"": 2831},    {""year"": ""2014"", ""withdrawals"": 2797},    {""year"": ""2015"", ""withdrawals"": 2733},    {""year"": ""2016"", ""withdrawals"": 2598},    {""year"": ""2017"", ""withdrawals"": 2420}  ]}'. It's a correct json file transferred from the image.","'Revenue of TechnipFMC from 2009 to 2019 (in million U.S. dollars) <s> Year Revenue in million U.S. dollars Dec 31, 2008 4405.4 Dec 31, 2009 4125.6 Dec 31, 2010 5099 Dec 31, 2011 6151.4 Dec 31, 2012 7126.2 Dec 31, 2013 7942.6 Dec 31, 2014 11471.9 Dec 31, 2015 9199.6 Dec 31, 2016 15056.9 Dec 31, 2017 12552.9 Dec 31, 2018 13409.1'. It's a correct json file transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-244.png,"'{  ""title"": ""Total number of cash withdrawals from ATMs in the United Kingdom (UK) from 2001 to 2018 (in millions)"",  ""data"": [    {      ""year"": ""Dec 31, 2000"",      ""withdrawals"": 2174    },    {      ""year"": ""Dec 31, 2001"",      ""withdrawals"": 2268    },    {      ""year"": ""Dec 31, 2002"",      ""withdrawals"": 2373    },    {      ""year"": ""Dec 31, 2003"",      ""withdrawals"": 2528    },    {      ""year"": ""Dec 31, 2004"",      ""withdrawals"": 2699    },    {      ""year"": ""Dec 31, 2005"",      ""withdrawals"": 2752    },    {      ""year"": ""Dec 31, 2006"",      ""withdrawals"": 2836    },    {      ""year"": ""Dec 31, 2007"",      ""withdrawals"": 2866    },    {      ""year"": ""Dec 31, 2008"",      ""withdrawals"": 2827    },    {      ""year"": ""Dec 31, 2009"",      ""withdrawals"": 2786    },    {      ""year"": ""Dec 31, 2010"",      ""withdrawals"": 2874    },    {      ""year"": ""Dec 31, 2011"",      ""withdrawals"": 2915    },    {      ""year"": ""Dec 31, 2012"",      ""withdrawals"": 2899    },    {      ""year"": ""Dec 31, 2013"",      ""withdrawals"": 2831    },    {      ""year"": ""Dec 31, 2014"",      ""withdrawals"": 2797    },    {      ""year"": ""Dec 31, 2015"",      ""withdrawals"": 2733    },    {      ""year"": ""Dec 31, 2016"",      ""withdrawals"": 2598    },    {      ""year"": ""Dec 31, 2017"",      ""withdrawals"": 2420    }  ]}'. It's a correct json file transferred from the image.","'Median weekly earnings of African American full-time wage and salary workers in the United States from 1979 to 2019 (in current U.S. dollars) <s> Year Wage in current U.S. dollars Dec 31, 1978 199 Dec 31, 1979 212 Dec 31, 1980 235 Dec 31, 1981 245 Dec 31, 1982 261 Dec 31, 1983 269 Dec 31, 1984 277 Dec 31, 1985 291 Dec 31, 1986 301 Dec 31, 1987 314 Dec 31, 1988 319 Dec 31, 1989 329 Dec 31, 1990 348 Dec 31, 1991 357 Dec 31, 1992 369 Dec 31, 1993 371 Dec 31, 1994 383 Dec 31, 1995 387 Dec 31, 1996 400 Dec 31, 1997 426 Dec 31, 1998 445 Dec 31, 1999 474 Dec 31, 2000 491 Dec 31, 2001 498 Dec 31, 2002 514 Dec 31, 2003 525 Dec 31, 2004 520 Dec 31, 2005 554 Dec 31, 2006 569 Dec 31, 2007 589 Dec 31, 2008 601 Dec 31, 2009 611 Dec 31, 2010 615 Dec 31, 2011 621 Dec 31, 2012 629 Dec 31, 2013 639 Dec 31, 2014 641 Dec 31, 2015 678 Dec 31, 2016 682 Dec 31, 2017 694 Dec 31, 2018 735'. It's a correct json file transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-260.png,"'{  ""title"": ""Class I rail mileage within the United States 1990 to 2018 (in statute miles)"",  ""data"": [    {""Year"": ""Dec 31, 1989"", ""Length in statute miles"": 119758},    {""Year"": ""Dec 31, 1994"", ""Length in statute miles"": 108264},    {""Year"": ""Dec 31, 1999"", ""Length in statute miles"": 99250},    {""Year"": ""Dec 31, 2004"", ""Length in statute miles"": 95830},    {""Year"": ""Dec 31, 2005"", ""Length in statute miles"": 94942},    {""Year"": ""Dec 31, 2006"", ""Length in statute miles"": 9440},    {""Year"": ""Dec 31, 2007"", ""Length in statute miles"": 94209},    {""Year"": ""Dec 31, 2008"", ""Length in statute miles"": 94048},    {""Year"": ""Dec 31, 2009"", ""Length in statute miles"": 95700},    {""Year"": ""Dec 31, 2010"", ""Length in statute miles"": 95514},    {""Year"": ""Dec 31, 2011"", ""Length in statute miles"": 95391},    {""Year"": ""Dec 31, 2012"", ""Length in statute miles"": 95235},    {""Year"": ""Dec 31, 2013"", ""Length in statute miles"": 94372},    {""Year"": ""Dec 31, 2014"", ""Length in statute miles"": 93628},    {""Year"": ""Dec 31, 2015"", ""Length in statute miles"": 93339},    {""Year"": ""Dec 31, 2016"", ""Length in statute miles"": 93150},    {""Year"": ""Dec 31, 2017"", ""Length in statute miles"": 92837}  ]}'. It's a correct json file transferred from the image.","'Total spending of Barack Obama and Mitt Romney in the 2012 elections as of October 2012 , by major category (in million U.S. dollars) <s> spending major category Obama Advertising 457.6 Mail 85.5 Payroll 95.1 Fundraising 81.8 Administration 45.8 Travel 24.1 Polling 27.8 Consult. 12 Lists 16.3 Events 13.9'. It's a correct json file transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-262.png,"'{  ""topic"": ""Share of respondents who had set up their own social network profile in the United Kingdom (UK) from 2007 to 2019"",  ""data"": [   {""date"": ""Dec 31, 2006"",    ""share_of_respondents"": 0.22 },   {""date"": ""Dec 31, 2008"",    ""share_of_respondents"": 0.44 },   {""date"": ""Dec 31, 2009"",    ""share_of_respondents"": 0.54 },   {""date"": ""Dec 31, 2010"",    ""share_of_respondents"": 0.59 },   {""date"": ""Dec 31, 2011"",    ""share_of_respondents"": 0.64 },   {""date"": ""Dec 31, 2012"",    ""share_of_respondents"": 0.66 },   {""date"": ""Dec 31, 2013"",    ""share_of_respondents"": 0.72 },   {""date"": ""Dec 31, 2014"",    ""share_of_respondents"": 0.73 },   {""date"": ""Dec 31, 2015"",    ""share_of_respondents"": 0.76 },   {""date"": ""Dec 31, 2016"",    ""share_of_respondents"": 0.77 },   {""date"": ""Dec 31, 2017"",    ""share_of_respondents"": 0.8 },   {""date"": ""Dec 31, 2018"",    ""share_of_respondents"": 0.82 }  ]}'. It's a correct json file transferred from the image.","'This bar chart is titled Cost to deliver BBC radio services to individual users per user hour in the United Kingdom (UK) from 2015/16 to 2019/20 , by station (in pence). There is a categorical scale from BBC 1Xtra to BBC Radio 5 live sports extra along the y-axis, marked BBC radio stations. A linear scale from 0 to 6 can be seen on the x-axis, labeled 2018/19.'. It's a correct json file transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-268.png,"'{  ""title"": ""Share of female film directors in Hollywood from 2007 to 2019"",  ""data"": [    {      ""date"": ""Dec 31, 2006"",      ""share"": 0.027    },    {      ""date"": ""Dec 31, 2007"",      ""share"": 0.08    },    {      ""date"": ""Dec 31, 2008"",      ""share"": 0.036    },    {      ""date"": ""Dec 31, 2009"",      ""share"": 0.028    },    {      ""date"": ""Dec 31, 2010"",      ""share"": 0.037    },    {      ""date"": ""Dec 31, 2011"",      ""share"": 0.041    },    {      ""date"": ""Dec 31, 2012"",      ""share"": 0.019    },    {      ""date"": ""Dec 31, 2013"",      ""share"": 0.019    },    {      ""date"": ""Dec 31, 2014"",      ""share"": 0.075    },    {      ""date"": ""Dec 31, 2015"",      ""share"": 0.042    },    {      ""date"": ""Dec 31, 2016"",      ""share"": 0.073    },    {      ""date"": ""Dec 31, 2017"",      ""share"": 0.045    },    {      ""date"": ""Dec 31, 2018"",      ""share"": 0.106    }  ]}'. It's a correct json file transferred from the image.","'Here a line chart is labeled Reported cases of rubella worldwide from 1999 to 2018 , by region. The x-axis shows Year while the y-axis shows Americas.'. It's a correct json file transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-268.png,"'{  ""topic"": ""Share of female film directors in Hollywood from 2007 to 2019"",  ""data"": [    {      ""date"": ""Dec 31, 2006"",      ""share"": 0.027    },    {      ""date"": ""Dec 31, 2007"",      ""share"": 0.08    },    {      ""date"": ""Dec 31, 2008"",      ""share"": 0.036    },    {      ""date"": ""Dec 31, 2009"",      ""share"": 0.028    },    {      ""date"": ""Dec 31, 2010"",      ""share"": 0.037    },    {      ""date"": ""Dec 31, 2011"",      ""share"": 0.041    },     {      ""date"": ""Dec 31, 2012"",      ""share"": 0.019    },    {      ""date"": ""Dec 31, 2013"",      ""share"": 0.019    },    {      ""date"": ""Dec 31, 2014"",      ""share"": 0.075    },    {      ""date"": ""Dec 31, 2015"",      ""share"": 0.042    },    {      ""date"": ""Dec 31, 2016"",      ""share"": 0.073    },    {      ""date"": ""Dec 31, 2017"",      ""share"": 0.045    },    {      ""date"": ""Dec 31, 2018"",      ""share"": 0.106    }  ]}'. It's a correct json file transferred from the image.","'Sri Lanka : Life expectancy at birth from 2008 to 2018 <s> Year Life expectancy at birth in years Dec 31, 2007 75.16 Dec 31, 2008 75.29 Dec 31, 2009 75.44 Dec 31, 2010 75.61 Dec 31, 2011 75.8 Dec 31, 2012 75.97 Dec 31, 2013 76.15 Dec 31, 2014 76.32 Dec 31, 2015 76.48 Dec 31, 2016 76.65 Dec 31, 2017 76.81'. It's a correct json file transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-293.png,"'{  ""title"": ""Most popular domestic travel destinations for United States travelers, according to travel agents in 2016"",  ""data"": [    {      ""Destination"": ""Orlando, FL"",      ""Share of respondents"": 0.359    },    {      ""Destination"": ""Maui, HI"",      ""Share of respondents"": 0.358    },    {      ""Destination"": ""Cruise - Alaska"",      ""Share of respondents"": 0.353    },    {      ""Destination"": ""New York City, NY"",      ""Share of respondents"": 0.306    },    {      ""Destination"": ""Las Vegas, NV"",      ""Share of respondents"": 0.288    },    {      ""Destination"": ""Honolulu, HI"",      ""Share of respondents"": 0.215    },    {      ""Destination"": ""Los Angeles, CA"",      ""Share of respondents"": 0.16    },    {      ""Destination"": ""San Francisco, CA"",      ""Share of respondents"": 0.151    },    {      ""Destination"": ""Chicago, IL"",      ""Share of respondents"": 0.143    },    {      ""Destination"": ""Miami / Miami Beach, FL"",      ""Share of respondents"": 0.139    }  ]}'. It's a correct json file transferred from the image.","'Child mortality rate (under five years old) in China from 1850 to 2020 <s> Year Deaths per 1,000 live births Dec 31, 1849 417.44 Dec 31, 1854 457.74 Dec 31, 1859 482.1 Dec 31, 1864 440.13 Dec 31, 1869 422.91 Dec 31, 1874 417.44 Dec 31, 1879 417.44 Dec 31, 1884 417.44 Dec 31, 1889 417.44 Dec 31, 1894 417.43 Dec 31, 1899 416.99 Dec 31, 1904 415.19 Dec 31, 1909 411.78 Dec 31, 1914 407.15 Dec 31, 1919 402.25 Dec 31, 1924 397.35 Dec 31, 1929 392.46 Dec 31, 1934 370.01 Dec 31, 1939 341.12 Dec 31, 1944 327.77 Dec 31, 1949 320.14 Dec 31, 1954 205 Dec 31, 1959 204 Dec 31, 1964 210 Dec 31, 1969 143 Dec 31, 1974 100 Dec 31, 1979 73 Dec 31, 1984 57 Dec 31, 1989 54 Dec 31, 1994 51 Dec 31, 1999 43 Dec 31, 2004 33 Dec 31, 2009 21 Dec 31, 2014 14 Dec 31, 2019 12'. It's a correct json file transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-309.png,"'{  ""title"": ""Monthly number of long-term unemployed persons in the U.S. from November 2019 to November 2020 (in millions , adjusted)"",  ""data"": [    {      ""Month"": ""Nov '20"",      ""Number in millions"": 3.94    },    {      ""Month"": ""Oct '20"",      ""Number in millions"": 3.56    },    {      ""Month"": ""Sep '20"",      ""Number in millions"": 2.41    },    {      ""Month"": ""Aug '20"",      ""Number in millions"": 1.62    },    {      ""Month"": ""Jul '20"",      ""Number in millions"": 1.5    },    {      ""Month"": ""Jun '20"",      ""Number in millions"": 1.39    },    {      ""Month"": ""May '20"",      ""Number in millions"": 1.16    },    {      ""Month"": ""Apr '20"",      ""Number in millions"": 0.94    },    {      ""Month"": ""Mar '20"",      ""Number in millions"": 1.16    },    {      ""Month"": ""Feb '20"",      ""Number in millions"": 1.1    },    {      ""Month"": ""Jan '20"",      ""Number in millions"": 1.17    },    {      ""Month"": ""Dec '19"",      ""Number in millions"": 1.19    },    {      ""Month"": ""Nov '19"",      ""Number in millions"": 1.22    }  ]}'. It's a correct json file transferred from the image.","'Here a bar diagram is called What attributes do you consider the most important when selecting healthy meals ?. The y-axis plots Share of respondents. There is a categorical scale starting with Antibiotic- and hormone-free ingredients and ending with  on the x-axis, marked Response.'. It's a correct json file transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-313.png,"'{    ""topic"": ""Revenue of the New Jersey Devils from 2005/06 to 2018/19 (in million U.S. dollars)"",    ""data"": [        {            ""Year"": ""2018/19"",            ""Revenue in million U.S. dollars"": 181        },        {            ""Year"": ""2017/18"",            ""Revenue in million U.S. dollars"": 166        },        {            ""Year"": ""2016/17"",            ""Revenue in million U.S. dollars"": 137        },        {            ""Year"": ""2015/16"",            ""Revenue in million U.S. dollars"": 126        },        {            ""Year"": ""2014/15"",            ""Revenue in million U.S. dollars"": 125        },        {            ""Year"": ""2013/14"",            ""Revenue in million U.S. dollars"": 111        },        {            ""Year"": ""2012/13*"",            ""Revenue in million U.S. dollars"": 78        },        {            ""Year"": ""2011/12"",            ""Revenue in million U.S. dollars"": 122        },        {            ""Year"": ""2010/11"",            ""Revenue in million U.S. dollars"": 100        },        {            ""Year"": ""2009/10"",            ""Revenue in million U.S. dollars"": 104        },        {            ""Year"": ""2008/09"",            ""Revenue in million U.S. dollars"": 97        },        {            ""Year"": ""2007/08"",            ""Revenue in million U.S. dollars"": 97        },        {            ""Year"": ""2006/07"",            ""Revenue in million U.S. dollars"": 65        },        {            ""Year"": ""2005/06"",            ""Revenue in million U.S. dollars"": 62        }    ]}'. It's a correct json file transferred from the image.","'How likely do you think you would be to use or continue using each of the following methods of weight management in the next year ? <s> Somewhat likely Response 0.41 Being more active throughout the day 0.36 Spend more time exercising 0.38 Eating smaller portions of what you eat now 0.38 Limiting specific types of food or food types 0.39 Eating snacks less frequently 0.37 Eating smaller, more frequent meals or snacks 0.4 Tracking and increasing the amount of time you are physically active 0.36 Limit the number of calories in the food you eat 0.39 Eating more slowly and attentively 0.3 Eating out less often'. It's a correct json file transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-315.png,"'{    ""title"": ""Number of operational nuclear reactors worldwide from 1954 to 2019"",    ""data"": [        {""Year"": ""Dec 31, 1953"", ""Number_of_nuclear_power_plants"": 1},        {""Year"": ""Dec 31, 1954"", ""Number_of_nuclear_power_plants"": 1},        {""Year"": ""Dec 31, 1955"", ""Number_of_nuclear_power_plants"": 2},        {""Year"": ""Dec 31, 1956"", ""Number_of_nuclear_power_plants"": 5},        {""Year"": ""Dec 31, 1957"", ""Number_of_nuclear_power_plants"": 6},        {""Year"": ""Dec 31, 1958"", ""Number_of_nuclear_power_plants"": 11},        {""Year"": ""Dec 31, 1959"", ""Number_of_nuclear_power_plants"": 15},        {""Year"": ""Dec 31, 1960"", ""Number_of_nuclear_power_plants"": 16},        {""Year"": ""Dec 31, 1961"", ""Number_of_nuclear_power_plants"": 25},        {""Year"": ""Dec 31, 1962"", ""Number_of_nuclear_power_plants"": 33},        {""Year"": ""Dec 31, 1963"", ""Number_of_nuclear_power_plants"": 40},        {""Year"": ""Dec 31, 1964"", ""Number_of_nuclear_power_plants"": 48},        {""Year"": ""Dec 31, 1965"", ""Number_of_nuclear_power_plants"": 55},        {""Year"": ""Dec 31, 1966"", ""Number_of_nuclear_power_plants"": 64},        {""Year"": ""Dec 31, 1967"", ""Number_of_nuclear_power_plants"": 68},        {""Year"": ""Dec 31, 1968"", ""Number_of_nuclear_power_plants"": 78},        {""Year"": ""Dec 31, 1969"", ""Number_of_nuclear_power_plants"": 84},        {""Year"": ""Dec 31, 1970"", ""Number_of_nuclear_power_plants"": 99},        {""Year"": ""Dec 31, 1971"", ""Number_of_nuclear_power_plants"": 113},        {""Year"": ""Dec 31, 1972"", ""Number_of_nuclear_power_plants"": 132},        {""Year"": ""Dec 31, 1973"", ""Number_of_nuclear_power_plants"": 154},        {""Year"": ""Dec 31, 1974"", ""Number_of_nuclear_power_plants"": 169},        {""Year"": ""Dec 31, 1975"", ""Number_of_nuclear_power_plants"": 186},        {""Year"": ""Dec 31, 1976"", ""Number_of_nuclear_power_plants"": 200},        {""Year"": ""Dec 31, 1977"", ""Number_of_nuclear_power_plants"": 219},        {""Year"": ""Dec 31, 1978"", ""Number_of_nuclear_power_plants"": 225},        {""Year"": ""Dec 31, 1979"", ""Number_of_nuclear_power_plants"": 245},        {""Year"": ""Dec 31, 1980"", ""Number_of_nuclear_power_plants"": 267},        {""Year"": ""Dec 31, 1981"", ""Number_of_nuclear_power_plants"": 284},        {""Year"": ""Dec 31, 1982"", ""Number_of_nuclear_power_plants"": 306},        {""Year"": ""Dec 31, 1983"", ""Number_of_nuclear_power_plants"": 336},        {""Year"": ""Dec 31, 1984"", ""Number_of_nuclear_power_plants"": 363},        {""Year"": ""Dec 31, 1985"", ""Number_of_nuclear_power_plants"": 389},        {""Year"": ""Dec 31, 1986"", ""Number_of_nuclear_power_plants"": 407},        {""Year"": ""Dec 31, 1987"", ""Number_of_nuclear_power_plants"": 416},        {""Year"": ""Dec 31, 1988"", ""Number_of_nuclear_power_plants"": 420},        {""Year"": ""Dec 31, 1989"", ""Number_of_nuclear_power_plants"": 416},        {""Year"": ""Dec 31, 1990"", ""Number_of_nuclear_power_plants"": 415},        {""Year"": ""Dec 31, 1991"", ""Number_of_nuclear_power_plants"": 418},        {""Year"": ""Dec 31, 1992"", ""Number_of_nuclear_power_plants"": 427},        {""Year"": ""Dec 31, 1993"", ""Number_of_nuclear_power_plants"": 429},        {""Year"": ""Dec 31, 1994"", ""Number_of_nuclear_power_plants"": 434},        {""Year"": ""Dec 31, 1995"", ""Number_of_nuclear_power_plants"": 438},        {""Year"": ""Dec 31, 1996"", ""Number_of_nuclear_power_plants"": 433},        {""Year"": ""Dec 31, 1997"", ""Number_of_nuclear_power_plants"": 430},        {""Year"": ""Dec 31, 1998"", ""Number_of_nuclear_power_plants"": 432},        {""Year"": ""Dec 31, 1999"", ""Number_of_nuclear_power_plants"": 435},        {""Year"": ""Dec 31, 2000"", ""Number_of_nuclear_power_plants"": 438},        {""Year"": ""Dec 31, 2001"", ""Number_of_nuclear_power_plants"": 439},        {""Year"": ""Dec 31, 2002"", ""Number_of_nuclear_power_plants"": 437},        {""Year"": ""Dec 31, 2003"", ""Number_of_nuclear_power_plants"": 438},        {""Year"": ""Dec 31, 2004"", ""Number_of_nuclear_power_plants"": 441},        {""Year"": ""Dec 31, 2005"", ""Number_of_nuclear_power_plants"": 435},        {""Year"": ""Dec 31, 2006"", ""Number_of_nuclear_power_plants"": 439},        {""Year"": ""Dec 31, 2007"", ""Number_of_nuclear_power_plants"": 438},        {""Year"": ""Dec 31, 2008"", ""Number_of_nuclear_power_plants"": 437},        {""Year"": ""Dec 31, 2009"", ""Number_of_nuclear_power_plants"": 441},        {""Year"": ""Dec 31, 2010"", ""Number_of_nuclear_power_plants"": 435},        {""Year"": ""Dec 31, 2011"", ""Number_of_nuclear_power_plants"": 437},        {""Year"": ""Dec 31, 2012"", ""Number_of_nuclear_power_plants"": 434},        {""Year"": ""Dec 31, 2013"", ""Number_of_nuclear_power_plants"": 438},        {""Year"": ""Dec 31, 2014"", ""Number_of_nuclear_power_plants"": 441},        {""Year"": ""Dec 31, 2015"", ""Number_of_nuclear_power_plants"": 447},        {""Year"": ""Dec 31, 2016"", ""Number_of_nuclear_power_plants"": 448},        {""Year"": ""Dec 31, 2017"", ""Number_of_nuclear_power_plants"": 450},        {""Year"": ""Dec 31, 2018"", ""Number_of_nuclear_power_plants"": 443}    ]}'. It's a correct json file transferred from the image.","'Brunswick number of employees worldwide from 2009 to 2019 <s> Year Number of employees Dec 31, 2008 15003 Dec 31, 2009 15290 Dec 31, 2010 15356 Dec 31, 2011 16177 Dec 31, 2012 15701 Dec 31, 2013 12165 Dec 31, 2014 12607 Dec 31, 2015 14415 Dec 31, 2016 15116 Dec 31, 2017 13084 Dec 31, 2018 12828'. It's a correct json file transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-315.png,"'{    ""title"": ""Number of operational nuclear reactors worldwide from 1954 to 2019"",    ""data"": {        ""1953"": 1,        ""1954"": 1,        ""1955"": 2,        ""1956"": 5,        ""1957"": 6,        ""1958"": 11,        ""1959"": 15,        ""1960"": 16,        ""1961"": 25,        ""1962"": 33,        ""1963"": 40,        ""1964"": 48,        ""1965"": 55,        ""1966"": 64,        ""1967"": 68,        ""1968"": 78,        ""1969"": 84,        ""1970"": 99,        ""1971"": 113,        ""1972"": 132,        ""1973"": 154,        ""1974"": 169,        ""1975"": 186,        ""1976"": 200,        ""1977"": 219,        ""1978"": 225,        ""1979"": 245,        ""1980"": 267,        ""1981"": 284,        ""1982"": 306,        ""1983"": 336,        ""1984"": 363,        ""1985"": 389,        ""1986"": 407,        ""1987"": 416,        ""1988"": 420,        ""1989"": 416,        ""1990"": 415,        ""1991"": 418,        ""1992"": 427,        ""1993"": 429,        ""1994"": 434,        ""1995"": 438,        ""1996"": 433,        ""1997"": 430,        ""1998"": 432,        ""1999"": 435,        ""2000"": 438,        ""2001"": 439,        ""2002"": 437,        ""2003"": 438,        ""2004"": 441,        ""2005"": 435,        ""2006"": 439,        ""2007"": 438,        ""2008"": 437,        ""2009"": 441,        ""2010"": 435,        ""2011"": 437,        ""2012"": 434,        ""2013"": 438,        ""2014"": 441,        ""2015"": 447,        ""2016"": 448,        ""2017"": 450,        ""2018"": 443,        ""2019"": ""Data unavailable""    }}'. It's a correct json file transferred from the image.","'Number of movie tickets sold in the United States and Canada from 2001 to 2018 (in millions) <s> Year Number of tickets sold in millions Dec 31, 2000 1487.3 Dec 31, 2001 1575.7 Dec 31, 2002 1532.3 Dec 31, 2003 1510.5 Dec 31, 2004 1379.2 Dec 31, 2005 1406 Dec 31, 2006 1404.6 Dec 31, 2007 1341.3 Dec 31, 2008 1412.7 Dec 31, 2009 1339.1 Dec 31, 2010 1283 Dec 31, 2011 1361.5 Dec 31, 2012 1343.7 Dec 31, 2013 1268.2 Dec 31, 2014 1320.2 Dec 31, 2015 1315.3 Dec 31, 2016 1239.7 Dec 31, 2017 1300.4'. It's a correct json file transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-316.png,"'{  ""Topic"": ""Convenience store sales of salty snacks in the United States in 2019 , by type (in million U.S. dollars)"",  ""Data"": [  {    ""Type"": ""Industry total sales in million U.S. dollars salty snacks"",    ""Sales"": 1828.7  },  {    ""Type"": ""Potato chips"",    ""Sales"": 1202.7  },  {    ""Type"": ""Tortilla/corn chips"",    ""Sales"": 878.3  },  {    ""Type"": ""Other salty snacks"",    ""Sales"": 822.3  },  {    ""Type"": ""Cheese snacks"",    ""Sales"": 642.7  },  {    ""Type"": ""Snack nuts"",    ""Sales"": 446.3  },  {    ""Type"": ""Crackers"",    ""Sales"": 408.9  },  {    ""Type"": ""Corn snacks"",    ""Sales"": 301.5  },  {    ""Type"": ""Sunflower/pumpkin seeds"",    ""Sales"": 263.1  },  {    ""Type"": ""Pretzels"",    ""Sales"": 243.4  },  {    ""Type"": ""Popcorn (ready-to-eat)"",    ""Sales"": 229.4  },  {    ""Type"": ""Pork rinds"",    ""Sales"": null  }  ]}'. It's a correct json file transferred from the image.","'Sales of Nestlé 's confectionery sector worldwide from 2010 to 2019 , by segment (in million CHF) <s> Biscuits Year 1236 2019 1280 2018 1339 2017 1301 2016 1375 2015 1568 2014 1576 2013 1604 2012 1097 2011 1155 2010*'. It's a correct json file transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-316.png,"'{  ""topic"": ""Convenience store sales of salty snacks in the United States in 2019, by type (in million U.S. dollars)"",  ""data"": [    {      ""type"": ""Industry total sales"",      ""category"": ""Salty snacks"",      ""sales"": 1828.7    },    {      ""type"": ""Potato chips"",      ""sales"": 1202.7    },    {      ""type"": ""Tortilla/corn chips"",      ""sales"": 878.3    },    {      ""type"": ""Other salty snacks"",      ""sales"": 822.3    },    {      ""type"": ""Cheese snacks"",      ""sales"": 642.7    },    {      ""type"": ""Snack nuts"",      ""sales"": 446.3    },    {      ""type"": ""Crackers"",      ""sales"": 408.9    },    {      ""type"": ""Corn snacks"",      ""sales"": 301.5    },    {      ""type"": ""Sunflower/Pumpkin seeds"",      ""sales"": 263.1    },    {      ""type"": ""Pretzels"",      ""sales"": 243.4    },    {      ""type"": ""Popcorn"",      ""category"": ""Ready-to-eat"",      ""sales"": 229.4    },    {      ""type"": ""Pork rinds"",      ""sales"": ""Unknown""    }  ]}'. It's a correct json file transferred from the image.",'Average undergraduate tuition fees for Canadian citizens in Canada from 2006 to 2020 (in Canadian dollars) <s> Year Tuition in Canadian dollars 2020 / 2021* 6610 2019 / 2020 6496 2018 / 2019 6822 2017 / 2018 6618 2016 / 2017 6375 2015 / 2016 6201 2014 / 2015 5998 2013 / 2014 5767 2012 / 2013 5586 2011 / 2012 5313 2010 / 2011 5146 2009 / 2010 4942 2008 / 2009 4747 2007 / 2008 4558 2006 / 2007 4400'. It's a correct json file transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-344.png,"'{  ""topic"": ""Revenue of the New York Islanders from 2005/06 to 2018/19 (in million U.S. dollars)"",  ""data"": [    {      ""year"": ""2018/19"",      ""revenue"": 115    },    {      ""year"": ""2017/18"",      ""revenue"": 107    },    {      ""year"": ""2016/17"",      ""revenue"": 110    },    {      ""year"": ""2015/16"",      ""revenue"": 114    },    {      ""year"": ""2014/15"",      ""revenue"": 93    },    {      ""year"": ""2013/14"",      ""revenue"": 83    },    {      ""year"": ""2012/13*"",      ""revenue"": 61    },    {      ""year"": ""2011/12"",      ""revenue"": 66    },    {      ""year"": ""2010/11"",      ""revenue"": 63    },    {      ""year"": ""2009/10"",      ""revenue"": 63    },    {      ""year"": ""2008/09"",      ""revenue"": 62    },    {      ""year"": ""2007/08"",      ""revenue"": 64    },    {      ""year"": ""2006/07"",      ""revenue"": 60    },    {      ""year"": ""2005/06"",      ""revenue"": 56    }  ]}'. It's a correct json file transferred from the image.","'Annual change in spending on sports and recreation in the United States in 2017 , by type <s> Same as last year No money 43 37 40 38 44 37 26 60 33 49 28 56 18 70 18 71 15 74 15 77'. It's a correct json file transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-359.png,"'{  ""Title"": ""Sales turnover of shops for do-it-yourself articles in the Netherlands from 2008 to 2019 (as value index)"",  ""Data"": [    {      ""Year"": ""Dec 31, 2007"",      ""Turnover value index (2015=100)"": ""134.2""    },    {      ""Year"": ""Dec 31, 2008"",      ""Turnover value index (2015=100)"": ""121.1""    },    {      ""Year"": ""Dec 31, 2009"",      ""Turnover value index (2015=100)"": ""112.6""    },    {      ""Year"": ""Dec 31, 2010"",      ""Turnover value index (2015=100)"": ""112.7""    },    {      ""Year"": ""Dec 31, 2011"",      ""Turnover value index (2015=100)"": ""103.2""    },    {      ""Year"": ""Dec 31, 2012"",      ""Turnover value index (2015=100)"": ""95""    },    {      ""Year"": ""Dec 31, 2013"",      ""Turnover value index (2015=100)"": ""97.1""    },    {      ""Year"": ""Dec 31, 2014"",      ""Turnover value index (2015=100)"": ""100""    },    {      ""Year"": ""Dec 31, 2015"",      ""Turnover value index (2015=100)"": ""103.7""    },    {      ""Year"": ""Dec 31, 2016"",      ""Turnover value index (2015=100)"": ""111.1""    },    {      ""Year"": ""Dec 31, 2017"",      ""Turnover value index (2015=100)"": ""114.8""    },    {      ""Year"": ""Dec 31, 2018"",      ""Turnover value index (2015=100)"": ""122.8""    }  ]}'. It's a correct json file transferred from the image.","'Here a line plot is called Global corporate profit of Richemont from FY2006 to FY2020 (in million euros). On the x-axis, Year is plotted. Profit in million euros is drawn on the y-axis.'. It's a correct json file transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-359.png,"'{  ""Title"": ""Sales turnover of shops for do-it-yourself articles in the Netherlands from 2008 to 2019 (as value index)"",   ""Format"": ""Year Turnover value index (2015=100)"",   ""Data"": [    {      ""Date"": ""Dec 31, 2007"",      ""Turnover_value_index"": 134.2    },    {      ""Date"": ""Dec 31, 2008"",      ""Turnover_value_index"": 121.1    },    {      ""Date"": ""Dec 31, 2009"",      ""Turnover_value_index"": 112.6    },    {      ""Date"": ""Dec 31, 2010"",      ""Turnover_value_index"": 112.7    },    {      ""Date"": ""Dec 31, 2011"",      ""Turnover_value_index"": 103.2    },    {      ""Date"": ""Dec 31, 2012"",      ""Turnover_value_index"": 95    },    {      ""Date"": ""Dec 31, 2013"",      ""Turnover_value_index"": 97.1    },    {      ""Date"": ""Dec 31, 2014"",      ""Turnover_value_index"": 100    },    {      ""Date"": ""Dec 31, 2015"",      ""Turnover_value_index"": 103.7    },    {      ""Date"": ""Dec 31, 2016"",      ""Turnover_value_index"": 111.1    },    {      ""Date"": ""Dec 31, 2017"",      ""Turnover_value_index"": 114.8    },    {      ""Date"": ""Dec 31, 2018"",      ""Turnover_value_index"": 122.8    }  ]}'. It's a correct json file transferred from the image.","'This is a line graph titled Average viewers of League of Legends on Twitch worldwide from January 2018 to December 2020 (in 1,000s). The x-axis measures Month on linear scale of range 2018 to 2020 while the y-axis plots Number of viewers in thousands using linear scale of range 0 to 200.'. It's a correct json file transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-359.png,"'{    ""title"": ""Sales turnover of shops for do-it-yourself articles in the Netherlands from 2008 to 2019 (as value index)"",    ""data"": [        {            ""Year"": ""Dec 31, 2007"",            ""Turnover value index (2015=100)"": ""134.2""        },        {            ""Year"": ""Dec 31, 2008"",            ""Turnover value index (2015=100)"": ""121.1""        },        {            ""Year"": ""Dec 31, 2009"",            ""Turnover value index (2015=100)"": ""112.6""        },        {            ""Year"": ""Dec 31, 2010"",            ""Turnover value index (2015=100)"": ""112.7""        },        {            ""Year"": ""Dec 31, 2011"",            ""Turnover value index (2015=100)"": ""103.2""        },        {            ""Year"": ""Dec 31, 2012"",            ""Turnover value index (2015=100)"": ""95""        },        {            ""Year"": ""Dec 31, 2013"",            ""Turnover value index (2015=100)"": ""97.1""        },        {            ""Year"": ""Dec 31, 2014"",            ""Turnover value index (2015=100)"": ""100""        },        {            ""Year"": ""Dec 31, 2015"",            ""Turnover value index (2015=100)"": ""103.7""        },        {            ""Year"": ""Dec 31, 2016"",            ""Turnover value index (2015=100)"": ""111.1""        },        {            ""Year"": ""Dec 31, 2017"",            ""Turnover value index (2015=100)"": ""114.8""        },        {            ""Year"": ""Dec 31, 2018"",            ""Turnover value index (2015=100)"": ""122.8""        }    ]}'. It's a correct json file transferred from the image.",'This is a bar diagram titled Most viewed films at movie theaters in Argentina in 2018 (in million tickets sold). The x-axis measures Most viewed films while the y-axis plots Number of tickets sold in millions.'. It's a correct json file transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-373.png,"'{    ""title"": ""Number of cyclists fatalities due to road accidents in Delhi , India from 2004 to 2018"",    ""data"":[        {""Year"": ""Dec 31, 2003"", ""Number of victims"": 181},        {""Year"": ""Dec 31, 2004"", ""Number of victims"": 179},        {""Year"": ""Dec 31, 2005"", ""Number of victims"": 154},        {""Year"": ""Dec 31, 2006"", ""Number of victims"": 128},        {""Year"": ""Dec 31, 2007"", ""Number of victims"": 107},        {""Year"": ""Dec 31, 2008"", ""Number of victims"": 121},        {""Year"": ""Dec 31, 2009"", ""Number of victims"": 137},        {""Year"": ""Dec 31, 2010"", ""Number of victims"": 107},        {""Year"": ""Dec 31, 2011"", ""Number of victims"": 114},        {""Year"": ""Dec 31, 2012"", ""Number of victims"": 92},        {""Year"": ""Dec 31, 2013"", ""Number of victims"": 64},        {""Year"": ""Dec 31, 2014"", ""Number of victims"": 71},        {""Year"": ""Dec 31, 2015"", ""Number of victims"": 53},        {""Year"": ""Dec 31, 2016"", ""Number of victims"": 67},        {""Year"": ""Dec 31, 2017"", ""Number of victims"": 53}    ]}'. It's a correct json file transferred from the image.",'Here a is a bar chart titled Which payment methods do you offer in your online shop ?. The x-axis measures Share of respondents on linear scale with a minimum of 0.0 and a maximum of 0.8 while the y-axis shows Response as categorical scale from Advance payment by transfer to giropay.'. It's a correct json file transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-373.png,"'{  ""title"": ""Number of cyclists fatalities due to road accidents in Delhi , India from 2004 to 2018"",  ""data"": [    {      ""Year"": ""Dec 31, 2003"",      ""Number_of_victims"": 181    },    {      ""Year"": ""Dec 31, 2004"",      ""Number_of_victims"": 179    },    {      ""Year"": ""Dec 31, 2005"",      ""Number_of_victims"": 154    },    {      ""Year"": ""Dec 31, 2006"",      ""Number_of_victims"": 128    },    {      ""Year"": ""Dec 31, 2007"",      ""Number_of_victims"": 107    },    {      ""Year"": ""Dec 31, 2008"",      ""Number_of_victims"": 121    },    {      ""Year"": ""Dec 31, 2009"",      ""Number_of_victims"": 137    },    {      ""Year"": ""Dec 31, 2010"",      ""Number_of_victims"": 107    },    {      ""Year"": ""Dec 31, 2011"",      ""Number_of_victims"": 114    },    {      ""Year"": ""Dec 31, 2012"",      ""Number_of_victims"": 92    },    {      ""Year"": ""Dec 31, 2013"",      ""Number_of_victims"": 64    },    {      ""Year"": ""Dec 31, 2014"",      ""Number_of_victims"": 71    },    {      ""Year"": ""Dec 31, 2015"",      ""Number_of_victims"": 53    },    {      ""Year"": ""Dec 31, 2016"",      ""Number_of_victims"": 67    },    {      ""Year"": ""Dec 31, 2017"",      ""Number_of_victims"": 53    }  ]}'. It's a correct json file transferred from the image.","'Leading Italian fashion companies in 2018 , by turnover (in 1,000 euros) <s> Turnover in thousand euros fashion company 8928889 Luxottica Group 3142148 Prada 2302772 Calzedonia Holding 2108772 Giorgio Armani 1597294 Max Mara Fashion Group 1457154 OVS 1420074 Moncler 1408179 OTB 1349254 D & G 1335269 Salvatore Ferragamo 1274463 Decathlon Italia* 1223690 Valentino 1159254 Ermenegildo Zegna Holditalia 1090168 Gucci Logistica* 1024139 Zara Italia* 996571 LIR 982619 LVMH Italia* 962861 Safilo Group 956676 Benetton Group* 940499 Tod's'. It's a correct json file transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-389.png,"'{  ""title"": ""Leading 10 U.S. companies based on medical device revenue in 2019 (in billion U.S. dollars)"",  ""data"": [    {      ""company"": ""Medtronic Inc.*"",      ""revenue_in_billion_usd"": 30.55    },    {      ""company"": ""Johnson & Johnson Medical Devices & Diagnostics*"",      ""revenue_in_billion_usd"": 25.96    },    {      ""company"": ""General Electric Healthcare**"",      ""revenue_in_billion_usd"": 19.94    },    {      ""company"": ""Cardinal Health"",      ""revenue_in_billion_usd"": 15.63    },    {      ""company"": ""Stryker Corp."",      ""revenue_in_billion_usd"": 14.88    },    {      ""company"": ""Becton Dickinson & Co."",      ""revenue_in_billion_usd"": 12.99    },    {      ""company"": ""Abbott Laboratories"",      ""revenue_in_billion_usd"": 12.23    },    {      ""company"": ""Baxter International Inc."",      ""revenue_in_billion_usd"": 11.36    },    {      ""company"": ""Boston Scientific Corp."",      ""revenue_in_billion_usd"": 10.65    },    {      ""company"": ""Zimmer Biomet"",      ""revenue_in_billion_usd"": 7.98    }  ]}'. It's a correct json file transferred from the image.",'Market share of the leading acne treatment brands in the United States in 2019 <s> Market share Brand 0.167 Neutrogena 0.11 Private label 0.08 Differin 0.054 Clearasil 0.053 Neutrogena Rapid Clear 0.044 St. Ives 0.038 Aveeno Active Naturals Clear Complexion 0.037 Bioré 0.032 Stiefel Panoxyl 0.025 Neutrogena Acne Stress Control'. It's a correct json file transferred from the image.
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-389.png,"'{""title"": ""Leading 10 U.S. companies based on medical device revenue in 2019 (in billion U.S. dollars)"",""data"": [    {        ""company"": ""Medtronic Inc.*"",        ""revenue"": 30.55    },    {        ""company"": ""Johnson & Johnson Medical Devices & Diagnostics*"",        ""revenue"": 25.96    },    {        ""company"": ""General Electric Healthcare**"",        ""revenue"": 19.94    },    {        ""company"": ""Cardinal Health"",        ""revenue"": 15.63    },    {        ""company"": ""Stryker Corp."",        ""revenue"": 14.88    },    {        ""company"": ""Becton Dickinson & Co."",        ""revenue"": 12.99    },    {        ""company"": ""Abbott Laboratories"",        ""revenue"": 12.23    },    {        ""company"": ""Baxter International Inc."",        ""revenue"": 11.36    },    {        ""company"": ""Boston Scientific Corp."",        ""revenue"": 10.65    },    {        ""company"": ""Zimmer Biomet"",        ""revenue"": 7.98    }]}'. It's a correct json file transferred from the image.","'This is a bar diagram labeled Market share in terms of total loans of the Italian global banking group UniCredit Bank in Europe as of November 2017 , by country. There is a linear scale from 0.00 to 0.25 on the y-axis, labeled Loans market share. A categorical scale starting with Austria and ending with Turkey can be seen on the x-axis, labeled Country.'. It's a correct json file transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/image_benchmark-418.png,"'{  ""title"": ""Average producer sale price of fleece wool in the United Kingdom (UK) from September 2014 to October 2017 (in pence per kilogram)"",  ""data"": [    {""sale_date"": ""Sep 01, 2014"", ""average_price_per_kg"": 155},    {""sale_date"": ""Sep 22, 2014"", ""average_price_per_kg"": 150},    {""sale_date"": ""Oct 06, 2014"", ""average_price_per_kg"": 153},    {""sale_date"": ""Oct 20, 2014"", ""average_price_per_kg"": 154},    {""sale_date"": ""Nov 10, 2014"", ""average_price_per_kg"": 151},    {""sale_date"": ""Nov 24, 2014"", ""average_price_per_kg"": 147},    {""sale_date"": ""Dec 08, 2014"", ""average_price_per_kg"": 145},    {""sale_date"": ""Jan 05, 2015"", ""average_price_per_kg"": 148},    {""sale_date"": ""Jan 26, 2015"", ""average_price_per_kg"": 142},    {""sale_date"": ""Feb 09, 2015"", ""average_price_per_kg"": 144},    {""sale_date"": ""Mar 02, 2015"", ""average_price_per_kg"": 144},    {""sale_date"": ""Mar 16, 2015"", ""average_price_per_kg"": 143},    {""sale_date"": ""Apr 13, 2015"", ""average_price_per_kg"": 150},    {""sale_date"": ""May 11, 2015"", ""average_price_per_kg"": 157},    {""sale_date"": ""Jun 08, 2015"", ""average_price_per_kg"": 147},    {""sale_date"": ""Jul 06, 2015"", ""average_price_per_kg"": 151},    {""sale_date"": ""Jul 27, 2015"", ""average_price_per_kg"": 146},    {""sale_date"": ""Aug 17, 2015"", ""average_price_per_kg"": 143},    {""sale_date"": ""Aug 31, 2015"", ""average_price_per_kg"": 128},    {""sale_date"": ""Sep 21, 2015"", ""average_price_per_kg"": 127},    {""sale_date"": ""Oct 05, 2015"", ""average_price_per_kg"": 125},    {""sale_date"": ""Oct 19, 2015"", ""average_price_per_kg"": 123},    {""sale_date"": ""Nov 09, 2015"", ""average_price_per_kg"": 120},    {""sale_date"": ""Nov 23, 2015"", ""average_price_per_kg"": 125},    {""sale_date"": ""Dec 14, 2015"", ""average_price_per_kg"": 126},    {""sale_date"": ""Jan 11, 2016"", ""average_price_per_kg"": 125},    {""sale_date"": ""Jan 25, 2016"", ""average_price_per_kg"": 128},    {""sale_date"": ""Feb 15, 2016"", ""average_price_per_kg"": 117},    {""sale_date"": ""Feb 29, 2016"", ""average_price_per_kg"": 117},    {""sale_date"": ""Mar 14, 2016"", ""average_price_per_kg"": 134},    {""sale_date"": ""Apr 11, 2016"", ""average_price_per_kg"": 134},    {""sale_date"": ""May 09, 2016"", ""average_price_per_kg"": 127},    {""sale_date"": ""Jun 06, 2016"", ""average_price_per_kg"": 125},    {""sale_date"": ""Jul 04, 2016"", ""average_price_per_kg"": 131},    {""sale_date"": ""Jul 25, 2016"", ""average_price_per_kg"": 131},    {""sale_date"": ""Aug 15, 2016"", ""average_price_per_kg"": 126},    {""sale_date"": ""Sep 05, 2016"", ""average_price_per_kg"": 124},    {""sale_date"": ""Sep 19, 2016"", ""average_price_per_kg"": 124},    {""sale_date"": ""Oct 03, 2016"", ""average_price_per_kg"": 115},    {""sale_date"": ""Oct 17, 2016"", ""average_price_per_kg"": 114},    {""sale_date"": ""Nov 07, 2016"", ""average_price_per_kg"": 120},    {""sale_date"": ""Nov 21, 2016"", ""average_price_per_kg"": 114},    {""sale_date"": ""Dec 12, 2016"", ""average_price_per_kg"": 109},    {""sale_date"": ""Jan 09, 2017"", ""average_price_per_kg"": 106},    {""sale_date"": ""Jan 23, 2017"", ""average_price_per_kg"": 105},    {""sale_date"": ""Feb 13, 2017"", ""average_price_per_kg"": 101},    {""sale_date"": ""Mar 06, 2017"", ""average_price_per_kg"": 107},    {""sale_date"": ""Mar 27, 2017"", ""average_price_per_kg"": 110},    {""sale_date"": ""Apr 10, 2017"", ""average_price_per_kg"": 116},    {""sale_date"": ""May 08, 2017"", ""average_price_per_kg"": 106},    {""sale_date"": ""Jun 05, 2017"", ""average_price_per_kg"": 108},    {""sale_date"": ""Jul 03, 2017"", ""average_price_per_kg"": 106},    {""sale_date"": ""Jul 24, 2017"", ""average_price_per_kg"": 108},    {""sale_date"": ""Aug 14, 2017"", ""average_price_per_kg"": 107},    {""sale_date"": ""Sep 04, 2017"", ""average_price_per_kg"": 105},    {""sale_date"": ""Sep 18, 2017"", ""average_price_per_kg"": 98},    {""sale_date"": ""Oct 02, 2017"", ""average_price_per_kg"": 100}  ]}'. It's a correct json file transferred from the image.","'Number of cyclists killed in traffic in the Netherlands from 2009 to 2019 <s> Year Number of casualties Dec 31, 2008 185 Dec 31, 2009 162 Dec 31, 2010 200 Dec 31, 2011 200 Dec 31, 2012 184 Dec 31, 2013 185 Dec 31, 2014 185 Dec 31, 2015 189 Dec 31, 2016 206 Dec 31, 2017 228 Dec 31, 2018 203'. It's a correct json file transferred from the image."
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/stock_chart-sc1.jpg,'The chart below is Meta’s stock over the past year.','The chart below is Meta's collection of shoes over the past year.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/stock_chart-sc2.jpg,"'This is a line chart of the closing price of Apple Inc. (AAPL) from January 1, 2022 to August 11, 2023. The y-axis shows the price of the stock in dollars, and the x-axis shows the time period in months.'","'This is a line chart of the closing price of Meta from January 1, 2015 to 2018. The y-axis shows the price of the stock in dollars, and the x-axis shows the time period in months.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/stock_chart-sc3.jpg,"'This is a line chart of the closing price of Tesla, Inc. (TSLA) from January 1, 2021 to August 11, 2023. The y-axis shows the price of the stock in dollars, and the x-axis shows the time period in months.'","'This is a line chart of the closing price of Tencent from 2009 to 2010. The y-axis shows the price of the stock in dollars, and the x-axis shows the time period in months.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/stock_chart-sc3.jpg,'The stock price has been on a mostly upward trend since January 2021 until 2022','The stock price has been on a mostly downward trend since January 2023'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/stock_chart-sc4.jpg,"'This is a line chart of the closing price of Meta Platforms, Inc. (META) from 2012 to October 27, 2022. The y-axis shows the price of the stock in dollars, and the x-axis shows the time period in months.'","'This is a line chart of the open price of Meta Platforms, Inc. (META) from 2012 to October 27, 2021. The y-axis shows the price of the stock in yuan, and the x-axis shows the time period in years.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/stock_chart-sc5.jpg,'Google (Alphabet stock GOOGL lost 42% in 2022.','Tencent lost 42% in 2016.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/stock_chart-sc6.jpg,"'A cup and handle is a bullish chart pattern that forms when the stock price forms a rounded bottom. The cup is followed by a sharp decline, which creates the handle. This pattern indicates that the stock price is likely to resume its upward trend.'","'A cup and handle is a bullish chart pattern that forms when the stock price forms a rounded bottom. The cup is followed by a sharp decline, which creates the handle. This pattern indicates that the stock price is likely to resume its upward trend.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/stock_chart-sc7.jpg,'Bollinger bands are a volatility indicator that show the standard deviation of a stock price over a period of time. This is a good chart to use to see how volatile a stock price is and to identify potential overbought and oversold conditions.','Bollinger bands are a musical group that plays songs about the standard deviation of a stock price over a decade. This is a delicious pie recipe to taste how spicy a stock flavor is and to identify potential crunchy and soggy textures'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/stock_chart-sc8.jpg,'The CSI 300 Index is a free-float market capitalization-weighted index of the 300 largest stocks listed on the Shanghai and Shenzhen Stock Exchanges.','The CSI 500 Index is a free-float market capitalization-weighted index of the 300 largest stocks listed on the New York and London Stock Exchanges.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/stock_chart-sc9.jpg,'The company came public at $19 in June 2010 and rallied quickly into the mid$30s.','The company came public at $5 in June 2022 and rallied quickly into the mid$300s.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/stock_chart-sc9.jpg,"'The surge stalled in the $380s in June 2017, giving way to another massive range. '","'The surge stalled in the $380s in June 2017, giving way to another massive range. '"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/stock_chart-sc10.jpg,"'Microsoft’s share price grew by 327 percent since Nadella took over, beating Apple’s 212-percent increase by a significant margin.'","'The snail raced in the $380s in June 2017, paving the way for another gigantic pancake.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/stock_chart-sc11.jpg,'This chart shows closing prices of Alibaba Group Holding Limited (BABA) for the past 10 years. ','This chart shows closing prices of Salesforce for the past 100 years. '
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/stock_chart-sc12.jpg,"'Salesforce has gained nearly 60% in the past year alone, and its performance is even more impressive on a longer time frame. '","'Salesforce has collected nearly 60% seashells in the past hour alone, and its dance routine is even more flavorful on a longer coffee cup '"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/stock_chart-sc13.jpg,'Adobe Systems Incorporated (ADBE) 20 Years Stock Chart History. ','Baidu 20 Years Stock Chart History. '
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/stock_chart-sc14.jpg,'Snap stock crashed more than 25% in response to the dismal report. It is now down more than 90% in just over a year. ','Snap crocodile smiled more than 25% in response to the cheerful song. It is now floating more than 90% in just over a teacup.'
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/stock_chart-sc15.jpg,"'The stock price is consistently making higher highs and higher lows, which is a bullish signal.'","'The stock price is consistently making higher highs and higher lows, which is a bearish signal.'"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/stock_chart-sc16.jpg,"'The stock price is consistently making lower highs and lower lows, which is a bearish signal. '","'The stock price is consistently making lower highs and lower lows, which is a bullish signal. '"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/stock_chart-sc17.jpg,"'The stock price is trading within a narrow range, which is a neutral signal. '","'The stock price is trading within a narrow range, which is a bullish signal. '"
+/ssddata/model_hub/junteng/vision4math_pic/vision4math_val_pic/mmc_bench/stock_chart-sc18.jpg,"'BAIDU stock has also been very volatile. You see the stock peaking in 2007, 2011, 2015, 2020 and recently, February 2021, only to crash after and stay down for a few years. '","'BAIDU stock has demonstrated resilience through its periodic peaks, indicating a recurring potential for growth and a strong track record.'"