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two_col_102452
image_datasets/chartqa/train/png/two_col_102452.png
[ { "from": "human", "value": "How many are employed, has child?<image>" }, { "from": "gpt", "value": "59" } ]
chartqa_28k.jsonl
bar_train_00032258
image_datasets/dvqa/images/bar_train_00032258.png
[ { "from": "human", "value": "<image>\nHow many units of the item range were sold in the store line?" }, { "from": "gpt", "value": "7" } ]
dvqa_2325k.jsonl
bar_train_00181871
image_datasets/dvqa/images/bar_train_00181871.png
[ { "from": "human", "value": "Which item sold the most units in any shop?\n<image>" }, { "from": "gpt", "value": "fact" } ]
dvqa_2325k.jsonl
two_col_101189
image_datasets/chartqa/train/png/two_col_101189.png
[ { "from": "human", "value": "What was the equity value of Total in 2016?\n<image>" }, { "from": "gpt", "value": "80892" } ]
chartqa_28k.jsonl
two_col_80475
image_datasets/chartqa/train/png/two_col_80475.png
[ { "from": "human", "value": "What percentage of businesses in Greece made B2C e-commerce sales through a website in 2018?\n<image>" }, { "from": "gpt", "value": "10" } ]
chartqa_28k.jsonl
chart2text_13420
image_datasets/hfdata/chart2text/13420.jpg
[ { "from": "human", "value": "What conclusions can be drawn from the information depicted in this graph?\n<image>" }, { "from": "gpt", "value": "Due to the coronavirus (COVID-19) outbreak, nearly half of the companies in the Swedish magazine industry have already either experienced advertising cancellation or reduced advertising bookings. Overall, the ad bookings for magazines published in Sweden decreased by 28 percent. The first case of COVID-19 in Sweden was confirmed on January 31, 2020. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Fact and Figures page." } ]
chart2text_26k.jsonl
bar_train_00195906
image_datasets/dvqa/images/bar_train_00195906.png
[ { "from": "human", "value": "What store does the steelblue color represent?\n<image>" }, { "from": "gpt", "value": "labor" } ]
dvqa_2325k.jsonl
bar_train_00108847
image_datasets/dvqa/images/bar_train_00108847.png
[ { "from": "human", "value": "<image>\nWhich object is preferred by the least number of people summed across all the categories?" }, { "from": "gpt", "value": "child" } ]
dvqa_2325k.jsonl
chart2text_8616
image_datasets/hfdata/chart2text/8616.jpg
[ { "from": "human", "value": "<image>What conclusions can be drawn from the information depicted in this graph?" }, { "from": "gpt", "value": "This statistic shows the most important export partner countries for Hungary in 2017. In 2017, the most important export partner of Hungary was Germany, with a share of 27.7 percent in exports." } ]
chart2text_26k.jsonl
chart2text_3948
image_datasets/hfdata/chart2text/3948.jpg
[ { "from": "human", "value": "<image>What conclusions can be drawn from the information depicted in this graph?" }, { "from": "gpt", "value": "This statistic displays the total number of computed tomography (CT) scanners in Germany from 2005 to 2017. There were 2,904 computed tomography (CT) scanners in Germany in 2017, the highest amount in the provided time interval." } ]
chart2text_26k.jsonl
two_col_62088
image_datasets/chartqa/train/png/two_col_62088.png
[ { "from": "human", "value": "Find the average, Take largest value and smallest value, divided it by 2?\n<image>" }, { "from": "gpt", "value": "45" } ]
chartqa_28k.jsonl
bar_train_00063672
image_datasets/dvqa/images/bar_train_00063672.png
[ { "from": "human", "value": "<image>\nHow many groups of bars contain at least one bar with value smaller than 90?" }, { "from": "gpt", "value": "seven" } ]
dvqa_2325k.jsonl
vistext_4357
image_datasets/hfdata/vistext/4357.jpg
[ { "from": "human", "value": "What does this chart reveal about the data?<image>" }, { "from": "gpt", "value": "Gate receipts of the Philadelphia Phillies from 2009 to 2019 (in million U.S. dollars) is a line chart. On the x-axis, Year is plotted using a linear scale with a minimum of 2010 and a maximum of 2018. A linear scale from 0 to 140 can be found on the y-axis, marked Gate receipts in million U.S. dollars. The gate receipts of the Philadelphia Philies had a decrease between the years 2012 and 2015, and after that a small increase from 2015 until 2019. We can observe that the gate receipts were kept the same between 2016 and 2018." } ]
vistext_9k.jsonl
chart2text_14158
image_datasets/hfdata/chart2text/14158.jpg
[ { "from": "human", "value": "What is the main idea being communicated through this graph?<image>" }, { "from": "gpt", "value": "This statistic illustrates the number of construction firms in Great Britain, in the third quarter of 2018, broken down by size. Notably, the majority of construction firms is composed of very small and small construction firms. Less than one percent of the construction firms in Great Britain have 300 or more employed." } ]
chart2text_26k.jsonl
chart2text_13004
image_datasets/hfdata/chart2text/13004.jpg
[ { "from": "human", "value": "<image>Explain what this graph is communicating." }, { "from": "gpt", "value": "The statistic represents the U.S. domestic market share of leading airlines from October 2019 to September 2020. During this time period, American Airlines was the leading airline in the U.S., with a domestic market share of 1863 percent, closely followed by Southwest Airlines, which had a 17.4 percent market share." } ]
chart2text_26k.jsonl
two_col_5351
image_datasets/chartqa/train/png/two_col_5351.png
[ { "from": "human", "value": "What was the unemployment rate in New York in 2020?\n<image>" }, { "from": "gpt", "value": "10" } ]
chartqa_28k.jsonl
two_col_81852
image_datasets/chartqa/train/png/two_col_81852.png
[ { "from": "human", "value": "<image>\nHow many doctors were practicing in Austria in 2017?" }, { "from": "gpt", "value": "5.18" } ]
chartqa_28k.jsonl
multi_col_20013
image_datasets/chartqa/train/png/multi_col_20013.png
[ { "from": "human", "value": "<image>\nWhat is the daily diesel and gasoil demand expected to reach in 2045?" }, { "from": "gpt", "value": "29.8" } ]
chartqa_28k.jsonl
chart2text_21100
image_datasets/hfdata/chart2text/21100.jpg
[ { "from": "human", "value": "<image>\nPlease describe the key points or trends indicated by this graph." }, { "from": "gpt", "value": "About a quarter (27%) say news about the condition of the U.S. economy was their top story, while just 7% cite the Occupy Wall Street protests as their top story. Looking at a separate measure, 43% say they followed economic news very closely, compared with 17% for the protests, according to the latest weekly News Interest Index survey, conducted Oct. 6-9 among 1,000 adults by the Pew Research Center for the People & the Press.\nNews about the spreading anti-Wall Street protests accounted for 7% of coverage, nearly four times the level of coverage one week earlier, according to an analysis by the Pew Research Center’s Project for Excellence in Journalism (PEJ). But there is significantly less public interest in the current Occupy Wall Street protests than there was in the Tea Party protests in early 2009, when they were receiving comparable levels of media coverage. And notably, partisans are about equally likely to say they are tracking the current protests very closely, a sharp contrast with the intense Republican interest in early Tea Party protests in 2009." } ]
chart2text_26k.jsonl
chart2text_499
image_datasets/hfdata/chart2text/499.jpg
[ { "from": "human", "value": "<image>\nI'd like to understand the message this graph is trying to highlight." }, { "from": "gpt", "value": "This statistic presents the breakdown of the number of racist offenses or hate crimes in France from 2016 to 2018, according to their target population. It shows that in 2016 there was a total of 1,128 racist offenses in France compared to 950 in 2017. The graph revealed that the number of racist offenses in France increased between 2017 and 2018." } ]
chart2text_26k.jsonl
bar_train_00160870
image_datasets/dvqa/images/bar_train_00160870.png
[ { "from": "human", "value": "<image>\nWhat is the label of the second bar from the left in each group?" }, { "from": "gpt", "value": "prison" } ]
dvqa_2325k.jsonl
chart2text_11918
image_datasets/hfdata/chart2text/11918.jpg
[ { "from": "human", "value": "<image>\nPlease clarify the meaning conveyed by this graph." }, { "from": "gpt", "value": "This statistic shows the motivation for traveling domestically among Baby Boomers in the United States in 2019 and 2020. During the survey, 15 percent of the Baby Boomers said they planned on taking a domestic family or multi-generational trip in the next year." } ]
chart2text_26k.jsonl
bar_train_00183120
image_datasets/dvqa/images/bar_train_00183120.png
[ { "from": "human", "value": "<image>What is the label of the fifth group of bars from the left?" }, { "from": "gpt", "value": "gun" } ]
dvqa_2325k.jsonl
bar_train_00156382
image_datasets/dvqa/images/bar_train_00156382.png
[ { "from": "human", "value": "<image>How many stacks of bars contain at least one element with value smaller than 2?" }, { "from": "gpt", "value": "three" } ]
dvqa_2325k.jsonl
multi_col_40553
image_datasets/chartqa/train/png/multi_col_40553.png
[ { "from": "human", "value": "<image>When was the market share of life insurance distribution channels in Germany?" }, { "from": "gpt", "value": "2012" } ]
chartqa_28k.jsonl
bar_train_00060691
image_datasets/dvqa/images/bar_train_00060691.png
[ { "from": "human", "value": "Which algorithm has lowest accuracy for any dataset?<image>" }, { "from": "gpt", "value": "girl" } ]
dvqa_2325k.jsonl
bar_train_00011705
image_datasets/dvqa/images/bar_train_00011705.png
[ { "from": "human", "value": "<image>\nWhat is the value of the largest bar?" }, { "from": "gpt", "value": "9" } ]
dvqa_2325k.jsonl
multi_col_80454
image_datasets/chartqa/train/png/multi_col_80454.png
[ { "from": "human", "value": "<image>What was the hardware component of the U.S. interactive kiosk market in dollars in 2018?" }, { "from": "gpt", "value": "4.23" } ]
chartqa_28k.jsonl
multi_col_56
image_datasets/chartqa/train/png/multi_col_56.png
[ { "from": "human", "value": "<image>\nHow many females were between the ages of 25 and 44 in Canada in 2020?" }, { "from": "gpt", "value": "5.15" } ]
chartqa_28k.jsonl
bar_train_00148219
image_datasets/dvqa/images/bar_train_00148219.png
[ { "from": "human", "value": "<image>\nDoes the chart contain any negative values?" }, { "from": "gpt", "value": "no" } ]
dvqa_2325k.jsonl
bar_train_00048178
image_datasets/dvqa/images/bar_train_00048178.png
[ { "from": "human", "value": "Which object is the most preferred in any category?<image>" }, { "from": "gpt", "value": "voyage" } ]
dvqa_2325k.jsonl
multi_col_20325
image_datasets/chartqa/train/png/multi_col_20325.png
[ { "from": "human", "value": "<image>\nHow many jobs did travel and tourism directly contribute to the South East Asian economy in 2017?" }, { "from": "gpt", "value": "14.46" } ]
chartqa_28k.jsonl
two_col_103173
image_datasets/chartqa/train/png/two_col_103173.png
[ { "from": "human", "value": "<image>How many shops did Dufry have in Asia Pacific in 2020?" }, { "from": "gpt", "value": "60" } ]
chartqa_28k.jsonl
bar_train_00087210
image_datasets/dvqa/images/bar_train_00087210.png
[ { "from": "human", "value": "Which bar has the smallest value?\n<image>" }, { "from": "gpt", "value": "trap" } ]
dvqa_2325k.jsonl
chart2text_17454
image_datasets/hfdata/chart2text/17454.jpg
[ { "from": "human", "value": "Can you elaborate on the message conveyed by this graph?\n<image>" }, { "from": "gpt", "value": "This statistic displays the distribution of the raw material supply of graphite worldwide as of 2018, by country. During that year, a 56 percent share of graphite supply came from China. Graphite is primarily used for refractory parts due to its high heat resistance. It has also been used in one of the longest lived and highest performing battery anodes developed. Graphene is also produced from graphite." } ]
chart2text_26k.jsonl
bar_train_00060304
image_datasets/dvqa/images/bar_train_00060304.png
[ { "from": "human", "value": "<image>\nWhich algorithm has the lowest accuracy?" }, { "from": "gpt", "value": "jacket" } ]
dvqa_2325k.jsonl
bar_train_00160472
image_datasets/dvqa/images/bar_train_00160472.png
[ { "from": "human", "value": "What is the sum of all the values in the friend group?\n<image>" }, { "from": "gpt", "value": "4" } ]
dvqa_2325k.jsonl
chart2text_2847
image_datasets/hfdata/chart2text/2847.jpg
[ { "from": "human", "value": "<image>Please describe the key points or trends indicated by this graph." }, { "from": "gpt", "value": "This statistic shows the American customer satisfaction index scores for Spirit Airlines in the United States from 2015 to 2020. Spirit Airlines received an American customer satisfaction index score of 65 in 2020." } ]
chart2text_26k.jsonl
two_col_43953
image_datasets/chartqa/train/png/two_col_43953.png
[ { "from": "human", "value": "What was the mortality rate for state prisoners in the United States in 2018?<image>" }, { "from": "gpt", "value": "344" } ]
chartqa_28k.jsonl
multi_col_28
image_datasets/chartqa/train/png/multi_col_28.png
[ { "from": "human", "value": "What's the largest difference between the female and male average life expectancy in a single country?\n<image>" }, { "from": "gpt", "value": "5" } ]
chartqa_28k.jsonl
bar_train_00056413
image_datasets/dvqa/images/bar_train_00056413.png
[ { "from": "human", "value": "<image>\nWhat is the value of voting in axis?" }, { "from": "gpt", "value": "30" } ]
dvqa_2325k.jsonl
two_col_62820
image_datasets/chartqa/train/png/two_col_62820.png
[ { "from": "human", "value": "<image>How much revenue did the ACAC Fitness and Wellness Center company generate in 2019?" }, { "from": "gpt", "value": "58.9" } ]
chartqa_28k.jsonl
bar_train_00013471
image_datasets/dvqa/images/bar_train_00013471.png
[ { "from": "human", "value": "Are the bars horizontal?<image>" }, { "from": "gpt", "value": "yes" } ]
dvqa_2325k.jsonl
bar_train_00187034
image_datasets/dvqa/images/bar_train_00187034.png
[ { "from": "human", "value": "<image>\nWhat is the label of the fifth group of bars from the bottom?" }, { "from": "gpt", "value": "output" } ]
dvqa_2325k.jsonl
chart2text_11129
image_datasets/hfdata/chart2text/11129.jpg
[ { "from": "human", "value": "<image>What conclusions can be drawn from the information depicted in this graph?" }, { "from": "gpt", "value": "This statistic shows the share of economic sectors in the gross domestic product (GDP) in Serbia from 2009 to 2019. In 2019, the share of agriculture in Serbia's gross domestic product was 6.16 percent, industry contributed approximately 25.65 percent and the services sector contributed about 51.21 percent." } ]
chart2text_26k.jsonl
bar_train_00088312
image_datasets/dvqa/images/bar_train_00088312.png
[ { "from": "human", "value": "<image>How many bars are there?" }, { "from": "gpt", "value": "four" } ]
dvqa_2325k.jsonl
chart2text_7667
image_datasets/hfdata/chart2text/7667.jpg
[ { "from": "human", "value": "<image>Please clarify the meaning conveyed by this graph." }, { "from": "gpt", "value": "This statistic shows the number of families with a single father in the United States from 1990 to 2019. In 2019, there were around 6.51 million families with a male householder and no spouse present in the United States." } ]
chart2text_26k.jsonl
chart2text_9899
image_datasets/hfdata/chart2text/9899.jpg
[ { "from": "human", "value": "<image>\nI'd like to understand the message this graph is trying to highlight." }, { "from": "gpt", "value": "This statistic depicts the air cargo traffic worldwide from 2007 to 2019, broken down by freight type. In 2019, charter freight traffic totaled just under 18 billion revenue ton kilometers worldwide, down from 18.12 billion in the previous year." } ]
chart2text_26k.jsonl
chart2text_18292
image_datasets/hfdata/chart2text/18292.jpg
[ { "from": "human", "value": "Can you break down the data visualization and explain its message?\n<image>" }, { "from": "gpt", "value": "This statistic illustrates the evolution of the quarterly index of commercial rents (ILC) in France from the 1st quarter of 2013 to the 1st quarter of 2020. During the 1st quarter of 2020, the benchmark index of commercial rents reached 116.23." } ]
chart2text_26k.jsonl
chart2text_18345
image_datasets/hfdata/chart2text/18345.jpg
[ { "from": "human", "value": "Please describe the key points or trends indicated by this graph.<image>" }, { "from": "gpt", "value": "The statistic shows the gender wage gap for the 20 most common occupations for men in the United States in 2019, by median weekly earnings. In 2019, U.S. female software developers (applications and system software) earned on average 1,718 U.S. dollars per week, while their male counterparts earned 1,920 U.S. dollars." } ]
chart2text_26k.jsonl
chart2text_7010
image_datasets/hfdata/chart2text/7010.jpg
[ { "from": "human", "value": "<image>\nExplain what this graph is communicating." }, { "from": "gpt", "value": "This statistic shows the results of a survey, conducted in 2013 among adult Americans, on whether they believe the glass is half full or half empty. 50 percent of respondents said they consider themselves optimists." }, { "from": "human", "value": "What conclusions can be drawn from the information depicted in this graph?" }, { "from": "gpt", "value": "The statistic shows the vehicle production of Opel in European countries from 2013 to 2017. Spain increased its vehicle production significantly from 2013 to 2015, by approximately 28 percent. By comparison, vehicle production in Germany declined during this time period, reaching a low point in 2017. In 2017, Opel sold 943,227 vehicles in the European market. This was a slight decline from the peak recorded in 2016." } ]
chart2text_26k.jsonl
two_col_22304
image_datasets/chartqa/train/png/two_col_22304.png
[ { "from": "human", "value": "What is the average of Europe and North America?\n<image>" }, { "from": "gpt", "value": "39.3" } ]
chartqa_28k.jsonl
chart2text_19607
image_datasets/hfdata/chart2text/19607.jpg
[ { "from": "human", "value": "<image>\nI'd like to understand the message this graph is trying to highlight." }, { "from": "gpt", "value": "This statistic shows the total number of enterprises in the non-financial business economy in Austria in 2016, by size class of employment. In 2016, there were 1,090 enterprises with 250 employees or more in Austria." } ]
chart2text_26k.jsonl
vistext_3397
image_datasets/hfdata/vistext/3397.jpg
[ { "from": "human", "value": "What is the chart's main message or takeaway?<image>" }, { "from": "gpt", "value": "Here a bar plot is titled Percentage of COVID-19-associated hospitalizations in the U.S. from March 1 to 30 , 2020 with select with underlying conditions. A categorical scale starting with Any underlying condition and ending with can be seen along the x-axis, labeled Response. Along the y-axis, Percentage of hospitalizations is defined. hypertension and obesity had 0.5% of hospitalisations due to covid. This is the highest out of any of the comorbidities listed. the next group was cardiovascular diease, chronic lung disease and chronic metabolic disease with between 0.3 and 0.4% of hospital admissions. all other underlying conditions had less than 0.2% of hospitalisations." } ]
vistext_9k.jsonl
chart2text_399
image_datasets/hfdata/chart2text/399.jpg
[ { "from": "human", "value": "<image>I'd like to understand the message this graph is trying to highlight." }, { "from": "gpt", "value": "Norwegians aged between 35 and 44 were the most active online buyers of food and groceries in 2019. A survey conducted that year found that 22 percent of respondents of that age group and 19 percent of respondents aged between 25 and 34 bought groceries via the internet. Online grocery shopping was more popular among women in the last few years. To be precise, the share of female shoppers grew from five percent in 2013 to 15 percent as of 2018. Similarly, the share of male food online shoppers increased from five percent in 2013 to 12 percent in 2018." } ]
chart2text_26k.jsonl
vistext_5878
image_datasets/hfdata/vistext/5878.jpg
[ { "from": "human", "value": "What does this chart reveal about the data?\n<image>" }, { "from": "gpt", "value": "Chile : Urbanization from 2009 to 2019 is a area diagram. The x-axis plots Response on linear scale with a minimum of 2010 and a maximum of 2018 while the y-axis measures Share of urban population in total population with linear scale with a minimum of 0.0 and a maximum of 0.8. There has been no change in the urbanization in Chile from 2009 to 2019. In 2009 the urbanization level was just above 0.8. In 2019 the urbanization level was just above 0.8." } ]
vistext_9k.jsonl
two_col_21205
image_datasets/chartqa/train/png/two_col_21205.png
[ { "from": "human", "value": "<image>\nHow many lane-kilometers of roads were paved in Singapore in 2019?" }, { "from": "gpt", "value": "9509" } ]
chartqa_28k.jsonl
two_col_24651
image_datasets/chartqa/train/png/two_col_24651.png
[ { "from": "human", "value": "<image>\nWhat was the most popular female last name in Poland as of February 2021?" }, { "from": "gpt", "value": "Nowak" } ]
chartqa_28k.jsonl
chart2text_3475
image_datasets/hfdata/chart2text/3475.jpg
[ { "from": "human", "value": "<image>Could you shed some light on the insights conveyed by this graph?" }, { "from": "gpt", "value": "This statistic presents the total contribution of travel and tourism to GDP in Hungary from 2012 to 2018, with a forecast for 2028. In 2018, travel and tourism is estimated to have contributed 3103.5 billion Hungarian forints to GDP in Hungary." } ]
chart2text_26k.jsonl
vistext_327
image_datasets/hfdata/vistext/327.jpg
[ { "from": "human", "value": "What insights can be drawn from this chart?<image>" }, { "from": "gpt", "value": "Here a is a bar chart labeled Share of successful project outcomes in last 12 months for IT leaders worldwide in 2016 , by project type. The y-axis shows Share of respondents with scale with a minimum of 0.0 and a maximum of 0.7 while the x-axis measures Response as categorical scale from Big data implementation to Offshoring IT functions. IT leaders tend to have the most successful outcomes with infrastructure roll out projects. Across all project types IT leaders tend to be successful in between 0.4 and 0.7 number of cases." } ]
vistext_9k.jsonl
bar_train_00180798
image_datasets/dvqa/images/bar_train_00180798.png
[ { "from": "human", "value": "<image>What is the label of the second bar from the left in each group?" }, { "from": "gpt", "value": "sea" } ]
dvqa_2325k.jsonl
bar_train_00195417
image_datasets/dvqa/images/bar_train_00195417.png
[ { "from": "human", "value": "What is the value of the smallest individual bar in the whole chart?\n<image>" }, { "from": "gpt", "value": "1" } ]
dvqa_2325k.jsonl
chart2text_16041
image_datasets/hfdata/chart2text/16041.jpg
[ { "from": "human", "value": "<image>Could you shed some light on the insights conveyed by this graph?" }, { "from": "gpt", "value": "This statistic displays the average issue readership of FHM magazine in the United Kingdom from first half 2003 to second half 2015. As of first half 2015, FHM magazine had a readership reaching 380 thousand readers per issue. Readership fell from 3 million in second half of 2003." } ]
chart2text_26k.jsonl
vistext_3073
image_datasets/hfdata/vistext/3073.jpg
[ { "from": "human", "value": "Estimate the changes over time shown in this chart.\n<image>" }, { "from": "gpt", "value": "This is a area graph named Expenditure on defense as share of the GDP in Italy from 2008 to 2020. A linear scale of range 2008 to 2018 can be found along the x-axis, marked Year. Expenditure as share of GDP is measured along a linear scale from 0.000 to 0.010 along the y-axis. This shows that expenditure has gone down over time with the lowest being just under 0.008. It has risen slightly since then." } ]
vistext_9k.jsonl
vistext_2960
image_datasets/hfdata/vistext/2960.jpg
[ { "from": "human", "value": "<image>Describe the pattern or trend evident in this chart." }, { "from": "gpt", "value": "Here a is a line graph titled House price index for new houses in Spain from 2008 to 2019. A linear scale from 0 to 140 can be found along the y-axis, marked House price index. Year is defined on a linear scale of range 2008 to 2018 on the x-axis. the house prices avd declined slightly over the years /momths." } ]
vistext_9k.jsonl
bar_train_00047516
image_datasets/dvqa/images/bar_train_00047516.png
[ { "from": "human", "value": "<image>\nWhich algorithm has the highest accuracy?" }, { "from": "gpt", "value": "fog" } ]
dvqa_2325k.jsonl
chart2text_11752
image_datasets/hfdata/chart2text/11752.jpg
[ { "from": "human", "value": "<image>\nWhat is the main idea being communicated through this graph?" }, { "from": "gpt", "value": "This statistic presents the value of yerba mate exported from Brazil from 2007 to 2018. In 2018, Brazilian yerba mate exports amounted to almost 85 million U.S. dollars, up from 78.8 million dollars a year earlier." } ]
chart2text_26k.jsonl
bar_train_00144174
image_datasets/dvqa/images/bar_train_00144174.png
[ { "from": "human", "value": "How many groups of bars are there?<image>" }, { "from": "gpt", "value": "two" } ]
dvqa_2325k.jsonl
bar_train_00009617
image_datasets/dvqa/images/bar_train_00009617.png
[ { "from": "human", "value": "Which algorithm has the highest accuracy?<image>" }, { "from": "gpt", "value": "choice" } ]
dvqa_2325k.jsonl
bar_train_00002127
image_datasets/dvqa/images/bar_train_00002127.png
[ { "from": "human", "value": "<image>What percentage of people prefer the least preferred object?" }, { "from": "gpt", "value": "30" } ]
dvqa_2325k.jsonl
bar_train_00081363
image_datasets/dvqa/images/bar_train_00081363.png
[ { "from": "human", "value": "What is the label of the second group of bars from the bottom?\n<image>" }, { "from": "gpt", "value": "fist" } ]
dvqa_2325k.jsonl
bar_train_00064881
image_datasets/dvqa/images/bar_train_00064881.png
[ { "from": "human", "value": "<image>\nAre the values in the chart presented in a percentage scale?" }, { "from": "gpt", "value": "yes" } ]
dvqa_2325k.jsonl
bar_train_00068672
image_datasets/dvqa/images/bar_train_00068672.png
[ { "from": "human", "value": "<image>\nWhat is the label of the second group of bars from the bottom?" }, { "from": "gpt", "value": "chair" } ]
dvqa_2325k.jsonl
bar_train_00005589
image_datasets/dvqa/images/bar_train_00005589.png
[ { "from": "human", "value": "<image>How many bars are there per group?" }, { "from": "gpt", "value": "three" } ]
dvqa_2325k.jsonl
chart2text_4768
image_datasets/hfdata/chart2text/4768.jpg
[ { "from": "human", "value": "<image>\nI'd like to understand the message this graph is trying to highlight." }, { "from": "gpt", "value": "The statistic shows gross domestic product (GDP) per capita in Papua New Guinea from 1985 to 2014, with projections up until 2025. GDP is the total value of all goods and services produced in a country in a year. It is considered to be a very important indicator of the economic strength of a country and a positive change is an indicator of economic growth. In 2020, the estimated GDP per capita in Papua New Guinea amounted to around 2,651.52 U.S. dollars." } ]
chart2text_26k.jsonl
vistext_1496
image_datasets/hfdata/vistext/1496.jpg
[ { "from": "human", "value": "<image>What is the chart's main message or takeaway?" }, { "from": "gpt", "value": "United Kingdom : Youth unemployment rate from 1999 to 2020 is a line chart. The x-axis shows Year while the y-axis shows Youth unemployment rate. Youth unemployment has risen between 2010 and 2013 but has steadily fallen from 2015 to where it sat between 2000 and 2005. It then rose sharply between 2005 and 2011 where it peaked at its highest of over 0.20. The lowest was approx 0.13 in 2001." } ]
vistext_9k.jsonl
two_col_43481
image_datasets/chartqa/train/png/two_col_43481.png
[ { "from": "human", "value": "What is the market cap of Recruit Holdings?\n<image>" }, { "from": "gpt", "value": "65037" } ]
chartqa_28k.jsonl
two_col_61350
image_datasets/chartqa/train/png/two_col_61350.png
[ { "from": "human", "value": "How many dollars worth of goods did China import in 2019?<image>" }, { "from": "gpt", "value": "14229.3" } ]
chartqa_28k.jsonl
vistext_6536
image_datasets/hfdata/vistext/6536.jpg
[ { "from": "human", "value": "<image>Describe the pattern or trend evident in this chart." }, { "from": "gpt", "value": "Sales volume of Hyundai cars across India in 2019 , by model (in 1,000s) is a bar plot. Number of vehicles sold in thousands is drawn on the x-axis. A categorical scale with Creta on one end and i20 Elite at the other can be seen along the y-axis, labeled automobile model. The most popular model in India in 2019 is the i20 Elite with over 120,000 sales. The least popular model in India in 2019 is the KONA with less than 10,000 sales." } ]
vistext_9k.jsonl
bar_train_00188760
image_datasets/dvqa/images/bar_train_00188760.png
[ { "from": "human", "value": "What is the value of the smallest bar?<image>" }, { "from": "gpt", "value": "3" } ]
dvqa_2325k.jsonl
two_col_41536
image_datasets/chartqa/train/png/two_col_41536.png
[ { "from": "human", "value": "<image>What percentage of imports did the United States account for in 2019?" }, { "from": "gpt", "value": "54" } ]
chartqa_28k.jsonl
two_col_2193
image_datasets/chartqa/train/png/two_col_2193.png
[ { "from": "human", "value": "How many monthly active users did LINE have in Japan in the fourth quarter of 2020?<image>" }, { "from": "gpt", "value": "84" } ]
chartqa_28k.jsonl
bar_train_00092733
image_datasets/dvqa/images/bar_train_00092733.png
[ { "from": "human", "value": "<image>\nHow many algorithms have accuracies lower than 90?" }, { "from": "gpt", "value": "two" } ]
dvqa_2325k.jsonl
chart2text_26485
image_datasets/hfdata/chart2text/26485.jpg
[ { "from": "human", "value": "Can you elaborate on the message conveyed by this graph?<image>" }, { "from": "gpt", "value": "The number of legal permanent residents applying for U.S. citizenship in the nine months starting last October is at its highest level in four years, and it is up 8% from the same period before the 2012 elections. Although some organizers of naturalization and voter registration drives have suggested the increase is a reaction to Donald Trump’s candidacy, a Pew Research Center analysis of naturalization data shows there have been much larger percentage increases in past years, with jumps not always coming during election years.\nSo far this fiscal year – from October 2015 to June 2016 – 718,430 immigrants have applied for naturalization, a 26% increase over the same time period a year before, according to data released by U.S. Citizenship and Immigration Services. By comparison, the number of naturalization applications increased by 19% in fiscal 2012 over the previous year." } ]
chart2text_26k.jsonl
two_col_23106
image_datasets/chartqa/train/png/two_col_23106.png
[ { "from": "human", "value": "In what year were commercial 3D printing machines first used?<image>" }, { "from": "gpt", "value": "2008" } ]
chartqa_28k.jsonl
bar_train_00009426
image_datasets/dvqa/images/bar_train_00009426.png
[ { "from": "human", "value": "Which object is the least preferred?\n<image>" }, { "from": "gpt", "value": "dark" } ]
dvqa_2325k.jsonl
bar_train_00159176
image_datasets/dvqa/images/bar_train_00159176.png
[ { "from": "human", "value": "Are the bars horizontal?\n<image>" }, { "from": "gpt", "value": "yes" } ]
dvqa_2325k.jsonl
vistext_5217
image_datasets/hfdata/vistext/5217.jpg
[ { "from": "human", "value": "<image>Summarize the key information in this chart." }, { "from": "gpt", "value": "Sales of the leading external analgesic rubs brands in the United States in 2019 (in million U.S. dollars) is a bar diagram. The y-axis shows Brand using a categorical scale with Aspercreme on one end and Tiger Balm at the other. A linear scale with a minimum of 0 and a maximum of 150 can be found along the x-axis, marked Sales in million U.S. dollars. Icy hot has the largest sales - over 150 million dollars. Salonpas, Biofteeze and Aspercreme followe behind, with sales of over 100 million dollars. The other brands have sales ranging from around 20-60 million." } ]
vistext_9k.jsonl
two_col_2279
image_datasets/chartqa/train/png/two_col_2279.png
[ { "from": "human", "value": "What is the second most valuable German brand?<image>" }, { "from": "gpt", "value": "Deutsche Telekom" } ]
chartqa_28k.jsonl
bar_train_00106763
image_datasets/dvqa/images/bar_train_00106763.png
[ { "from": "human", "value": "<image>\nWhich algorithm has the largest accuracy summed across all the datasets?" }, { "from": "gpt", "value": "sleep" } ]
dvqa_2325k.jsonl
two_col_103370
image_datasets/chartqa/train/png/two_col_103370.png
[ { "from": "human", "value": "<image>What was the second state with the highest percentage of deforestation?" }, { "from": "gpt", "value": "Mato Grosso" } ]
chartqa_28k.jsonl
vistext_9075
image_datasets/hfdata/vistext/9075.jpg
[ { "from": "human", "value": "Describe this chart.\n<image>" }, { "from": "gpt", "value": "This is a area chart titled United Kingdom : Age distribution from 2009 to 2019. A linear scale with a minimum of 2010 and a maximum of 2018 can be found along the x-axis, marked Year. The y-axis measures 0-14 years. This chart has very consistent results from start to finish. All results are over 0.15 from 2010 to 2018." } ]
vistext_9k.jsonl
bar_train_00042100
image_datasets/dvqa/images/bar_train_00042100.png
[ { "from": "human", "value": "<image>\nWhat is the label of the first group of bars from the left?" }, { "from": "gpt", "value": "moment" } ]
dvqa_2325k.jsonl
two_col_23684
image_datasets/chartqa/train/png/two_col_23684.png
[ { "from": "human", "value": "<image>\nHow many goals did Silvio Romero and Rafael Santos Borr score in the 2019/2020 season?" }, { "from": "gpt", "value": "12" } ]
chartqa_28k.jsonl
bar_train_00032885
image_datasets/dvqa/images/bar_train_00032885.png
[ { "from": "human", "value": "What is the value of the smallest individual bar in the whole chart?<image>" }, { "from": "gpt", "value": "-8" } ]
dvqa_2325k.jsonl
72240162017763
image_datasets/chartqa/train/png/72240162017763.png
[ { "from": "human", "value": "Which country is represented by the given line graph?<image>" }, { "from": "gpt", "value": "Sierra Leone" } ]
chartqa_28k.jsonl
two_col_81056
image_datasets/chartqa/train/png/two_col_81056.png
[ { "from": "human", "value": "<image>How much did Swiss foreign direct investments in the U.S. amount to in 2019?" }, { "from": "gpt", "value": "300.39" } ]
chartqa_28k.jsonl
chart2text_8998
image_datasets/hfdata/chart2text/8998.jpg
[ { "from": "human", "value": "<image>\nWhat is the main idea being communicated through this graph?" }, { "from": "gpt", "value": "Products in this category include toilet waters and perfumes for men and women. In 2019, approximately 247 million euros worth of perfumes in Italy were purchased in perfume shops in Italy, representing the most valuable distribution channel. Furthermore, the consumption value in pharmacies amounted to 20.2 million euros, followed by supermarkets and hypermarkets." } ]
chart2text_26k.jsonl
1264
image_datasets/chartqa/train/png/1264.png
[ { "from": "human", "value": "What's the percentage value of the green bar in U.S. category?\n<image>" }, { "from": "gpt", "value": "78" } ]
chartqa_28k.jsonl
bar_train_00178001
image_datasets/dvqa/images/bar_train_00178001.png
[ { "from": "human", "value": "<image>\nWhat is the label of the second bar from the left in each group?" }, { "from": "gpt", "value": "tape" } ]
dvqa_2325k.jsonl
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Linear Model Merging Unlocks Simple and Scalable Multimodal Data Mixture Optimization

arXiv 🤗 Model (HuggingFace) 🤗 Dataset (HuggingFace) github

This are the domain-specific datasets from the paper: "Linear Model Merging Unlocks Simple and Scalable Multimodal Data Mixture Optimization " (link).

Each dataset contains 102400 VQA samples from a specific domain: General VQA, OCR, Counting & Visual Perception, Chart Understanding.

You can find many models trained on mixtures of these datasets in this Huggingface Collection.

Composition

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Collection including daviBera/experts_datasets-102400

Paper for daviBera/experts_datasets-102400