mLLMs_merging_4_DMO
Collection
Official checkpoints from the paper "Linear Model Merging Unlocks Simple and Scalable Multimodal Data Mixture Optimization". • 21 items • Updated
id stringlengths 3 51 | image stringlengths 34 90 | conversations listlengths 2 124 | source stringclasses 23
values |
|---|---|---|---|
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 ca... | 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, w... | 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) scan... | 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 ... | 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 f... | 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 ... | 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... | 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 s... | 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 ... | 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 ... | 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 Americ... | 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 S... | 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 ... | 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... | 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. Dur... | 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 so... | 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 ... | 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 we... | 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... | 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 respo... | 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 urb... | 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 ... | 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... | 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 mag... | 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 Ye... | 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.... | 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. dolla... | 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 ... | 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 ... | 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 Cr... | 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 t... | 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 Asper... | 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... | 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 ... | 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 |
End of preview. Expand in Data Studio
Linear Model Merging Unlocks Simple and Scalable Multimodal Data Mixture Optimization
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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Size of downloaded dataset files:
1.01 MB
Size of the auto-converted Parquet files:
640 kB
Number of rows:
2,000