chart_id stringclasses 98
values | question_id stringclasses 142
values | variant stringclasses 12
values | image stringlengths 0 49 | question stringclasses 169
values | answer stringlengths 1 127 | chart_data stringlengths 0 54 | source_dataset_split stringclasses 1
value | source_row_index int64 0 161 |
|---|---|---|---|---|---|---|---|---|
c000064 | q000091 | seed_6 | images/chartmuseum_dev/seed_6/c000064.png | You are presented with various corpora on the x-axis and 4 models in the legend. Among the 4 corpora (Average not counted) that has the least variance across 4 models, which corpora has the highest perplexity? | Wiki | chart_data/chartmuseum_dev/seed_6/c000064.json | chartmuseum_dev | 93 |
c000064 | q000091 | seed_7 | images/chartmuseum_dev/seed_7/c000064.png | You are presented with various corpora on the x-axis and 4 models in the legend. Among the 4 corpora (Average not counted) that has the least variance across 4 models, which corpora has the highest perplexity? | USPTO | chart_data/chartmuseum_dev/seed_7/c000064.json | chartmuseum_dev | 93 |
c000064 | q000091 | seed_8 | images/chartmuseum_dev/seed_8/c000064.png | You are presented with various corpora on the x-axis and 4 models in the legend. Among the 4 corpora (Average not counted) that has the least variance across 4 models, which corpora has the highest perplexity? | Books | chart_data/chartmuseum_dev/seed_8/c000064.json | chartmuseum_dev | 93 |
c000064 | q000091 | seed_9 | images/chartmuseum_dev/seed_9/c000064.png | You are presented with various corpora on the x-axis and 4 models in the legend. Among the 4 corpora (Average not counted) that has the least variance across 4 models, which corpora has the highest perplexity? | FreeLaw | chart_data/chartmuseum_dev/seed_9/c000064.json | chartmuseum_dev | 93 |
c000065 | q000092 | original | What do people spend the majority of their money on in Vienna? | Groceries | chartmuseum_dev | 65 | ||
c000065 | q000093 | original | What category accounts for an equal percentage of the money people spend in New York and Vienna? | Sports and Leisure | chartmuseum_dev | 153 | ||
c000065 | q000092 | reconstruction | images/chartmuseum_dev/reconstruction/c000065.png | What do people spend the majority of their money on in Vienna? | Groceries | chart_data/chartmuseum_dev/reconstruction/c000065.json | chartmuseum_dev | 65 |
c000065 | q000093 | reconstruction | images/chartmuseum_dev/reconstruction/c000065.png | What category accounts for an equal percentage of the money people spend in New York and Vienna? | Sports and Leisure | chart_data/chartmuseum_dev/reconstruction/c000065.json | chartmuseum_dev | 153 |
c000065 | q000092 | seed_0 | images/chartmuseum_dev/seed_0/c000065.png | What do people spend the majority of their money on in Vienna? | Groceries | chart_data/chartmuseum_dev/seed_0/c000065.json | chartmuseum_dev | 65 |
c000065 | q000093 | seed_0 | images/chartmuseum_dev/seed_0/c000065.png | What category accounts for an equal percentage of the money people spend in New York and Vienna? | None | chart_data/chartmuseum_dev/seed_0/c000065.json | chartmuseum_dev | 153 |
c000065 | q000092 | seed_1 | images/chartmuseum_dev/seed_1/c000065.png | What do people spend the majority of their money on in Vienna? | Groceries | chart_data/chartmuseum_dev/seed_1/c000065.json | chartmuseum_dev | 65 |
c000065 | q000093 | seed_1 | images/chartmuseum_dev/seed_1/c000065.png | What category accounts for an equal percentage of the money people spend in New York and Vienna? | None | chart_data/chartmuseum_dev/seed_1/c000065.json | chartmuseum_dev | 153 |
c000065 | q000092 | seed_2 | images/chartmuseum_dev/seed_2/c000065.png | What do people spend the majority of their money on in Vienna? | Rent | chart_data/chartmuseum_dev/seed_2/c000065.json | chartmuseum_dev | 65 |
c000065 | q000093 | seed_2 | images/chartmuseum_dev/seed_2/c000065.png | What category accounts for an equal percentage of the money people spend in New York and Vienna? | Sports and Leisure | chart_data/chartmuseum_dev/seed_2/c000065.json | chartmuseum_dev | 153 |
c000065 | q000092 | seed_3 | images/chartmuseum_dev/seed_3/c000065.png | What do people spend the majority of their money on in Vienna? | Restaurants | chart_data/chartmuseum_dev/seed_3/c000065.json | chartmuseum_dev | 65 |
c000065 | q000093 | seed_3 | images/chartmuseum_dev/seed_3/c000065.png | What category accounts for an equal percentage of the money people spend in New York and Vienna? | Transportation | chart_data/chartmuseum_dev/seed_3/c000065.json | chartmuseum_dev | 153 |
c000065 | q000092 | seed_4 | images/chartmuseum_dev/seed_4/c000065.png | What do people spend the majority of their money on in Vienna? | Groceries | chart_data/chartmuseum_dev/seed_4/c000065.json | chartmuseum_dev | 65 |
c000065 | q000093 | seed_4 | images/chartmuseum_dev/seed_4/c000065.png | What category accounts for an equal percentage of the money people spend in New York and Vienna? | None | chart_data/chartmuseum_dev/seed_4/c000065.json | chartmuseum_dev | 153 |
c000065 | q000092 | seed_5 | images/chartmuseum_dev/seed_5/c000065.png | What do people spend the majority of their money on in Vienna? | Groceries | chart_data/chartmuseum_dev/seed_5/c000065.json | chartmuseum_dev | 65 |
c000065 | q000093 | seed_5 | images/chartmuseum_dev/seed_5/c000065.png | What category accounts for an equal percentage of the money people spend in New York and Vienna? | Sports and Leisure | chart_data/chartmuseum_dev/seed_5/c000065.json | chartmuseum_dev | 153 |
c000065 | q000092 | seed_6 | images/chartmuseum_dev/seed_6/c000065.png | What do people spend the majority of their money on in Vienna? | Rent | chart_data/chartmuseum_dev/seed_6/c000065.json | chartmuseum_dev | 65 |
c000065 | q000093 | seed_6 | images/chartmuseum_dev/seed_6/c000065.png | What category accounts for an equal percentage of the money people spend in New York and Vienna? | None | chart_data/chartmuseum_dev/seed_6/c000065.json | chartmuseum_dev | 153 |
c000065 | q000092 | seed_7 | images/chartmuseum_dev/seed_7/c000065.png | What do people spend the majority of their money on in Vienna? | Groceries | chart_data/chartmuseum_dev/seed_7/c000065.json | chartmuseum_dev | 65 |
c000065 | q000093 | seed_7 | images/chartmuseum_dev/seed_7/c000065.png | What category accounts for an equal percentage of the money people spend in New York and Vienna? | Sports and Leisure, Clothing and Shoes | chart_data/chartmuseum_dev/seed_7/c000065.json | chartmuseum_dev | 153 |
c000065 | q000092 | seed_8 | images/chartmuseum_dev/seed_8/c000065.png | What do people spend the majority of their money on in Vienna? | Restaurants | chart_data/chartmuseum_dev/seed_8/c000065.json | chartmuseum_dev | 65 |
c000065 | q000093 | seed_8 | images/chartmuseum_dev/seed_8/c000065.png | What category accounts for an equal percentage of the money people spend in New York and Vienna? | Groceries | chart_data/chartmuseum_dev/seed_8/c000065.json | chartmuseum_dev | 153 |
c000065 | q000092 | seed_9 | images/chartmuseum_dev/seed_9/c000065.png | What do people spend the majority of their money on in Vienna? | Restaurants | chart_data/chartmuseum_dev/seed_9/c000065.json | chartmuseum_dev | 65 |
c000065 | q000093 | seed_9 | images/chartmuseum_dev/seed_9/c000065.png | What category accounts for an equal percentage of the money people spend in New York and Vienna? | Sports and Leisure | chart_data/chartmuseum_dev/seed_9/c000065.json | chartmuseum_dev | 153 |
c000066 | q000094 | original | If you rented in two states, SD and WV, how much money would you still save per month over the average rent in California? | $363 | chartmuseum_dev | 13 | ||
c000066 | q000095 | original | What is the price difference between the most and least expensive land-locked state to rent in? | $784 | chartmuseum_dev | 58 | ||
c000066 | q000094 | reconstruction | images/chartmuseum_dev/reconstruction/c000066.png | If you rented in two states, SD and WV, how much money would you still save per month over the average rent in California? | $363 | chart_data/chartmuseum_dev/reconstruction/c000066.json | chartmuseum_dev | 13 |
c000066 | q000095 | reconstruction | images/chartmuseum_dev/reconstruction/c000066.png | What is the price difference between the most and least expensive land-locked state to rent in? | $784 | chart_data/chartmuseum_dev/reconstruction/c000066.json | chartmuseum_dev | 58 |
c000066 | q000094 | seed_0 | images/chartmuseum_dev/seed_0/c000066.png | If you rented in two states, SD and WV, how much money would you still save per month over the average rent in California? | $51 | chart_data/chartmuseum_dev/seed_0/c000066.json | chartmuseum_dev | 13 |
c000066 | q000095 | seed_0 | images/chartmuseum_dev/seed_0/c000066.png | What is the price difference between the most and least expensive land-locked state to rent in? | $664 | chart_data/chartmuseum_dev/seed_0/c000066.json | chartmuseum_dev | 58 |
c000066 | q000094 | seed_1 | images/chartmuseum_dev/seed_1/c000066.png | If you rented in two states, SD and WV, how much money would you still save per month over the average rent in California? | $302 | chart_data/chartmuseum_dev/seed_1/c000066.json | chartmuseum_dev | 13 |
c000066 | q000095 | seed_1 | images/chartmuseum_dev/seed_1/c000066.png | What is the price difference between the most and least expensive land-locked state to rent in? | $834 | chart_data/chartmuseum_dev/seed_1/c000066.json | chartmuseum_dev | 58 |
c000066 | q000094 | seed_2 | images/chartmuseum_dev/seed_2/c000066.png | If you rented in two states, SD and WV, how much money would you still save per month over the average rent in California? | $230 | chart_data/chartmuseum_dev/seed_2/c000066.json | chartmuseum_dev | 13 |
c000066 | q000095 | seed_2 | images/chartmuseum_dev/seed_2/c000066.png | What is the price difference between the most and least expensive land-locked state to rent in? | $805 | chart_data/chartmuseum_dev/seed_2/c000066.json | chartmuseum_dev | 58 |
c000066 | q000094 | seed_3 | images/chartmuseum_dev/seed_3/c000066.png | If you rented in two states, SD and WV, how much money would you still save per month over the average rent in California? | $929 | chart_data/chartmuseum_dev/seed_3/c000066.json | chartmuseum_dev | 13 |
c000066 | q000095 | seed_3 | images/chartmuseum_dev/seed_3/c000066.png | What is the price difference between the most and least expensive land-locked state to rent in? | $855 | chart_data/chartmuseum_dev/seed_3/c000066.json | chartmuseum_dev | 58 |
c000066 | q000094 | seed_4 | images/chartmuseum_dev/seed_4/c000066.png | If you rented in two states, SD and WV, how much money would you still save per month over the average rent in California? | $814 | chart_data/chartmuseum_dev/seed_4/c000066.json | chartmuseum_dev | 13 |
c000066 | q000095 | seed_4 | images/chartmuseum_dev/seed_4/c000066.png | What is the price difference between the most and least expensive land-locked state to rent in? | $1,241 | chart_data/chartmuseum_dev/seed_4/c000066.json | chartmuseum_dev | 58 |
c000066 | q000094 | seed_5 | images/chartmuseum_dev/seed_5/c000066.png | If you rented in two states, SD and WV, how much money would you still save per month over the average rent in California? | $636 | chart_data/chartmuseum_dev/seed_5/c000066.json | chartmuseum_dev | 13 |
c000066 | q000095 | seed_5 | images/chartmuseum_dev/seed_5/c000066.png | What is the price difference between the most and least expensive land-locked state to rent in? | $880 | chart_data/chartmuseum_dev/seed_5/c000066.json | chartmuseum_dev | 58 |
c000066 | q000094 | seed_6 | images/chartmuseum_dev/seed_6/c000066.png | If you rented in two states, SD and WV, how much money would you still save per month over the average rent in California? | $463 | chart_data/chartmuseum_dev/seed_6/c000066.json | chartmuseum_dev | 13 |
c000066 | q000095 | seed_6 | images/chartmuseum_dev/seed_6/c000066.png | What is the price difference between the most and least expensive land-locked state to rent in? | $853 | chart_data/chartmuseum_dev/seed_6/c000066.json | chartmuseum_dev | 58 |
c000066 | q000094 | seed_7 | images/chartmuseum_dev/seed_7/c000066.png | If you rented in two states, SD and WV, how much money would you still save per month over the average rent in California? | $185 | chart_data/chartmuseum_dev/seed_7/c000066.json | chartmuseum_dev | 13 |
c000066 | q000095 | seed_7 | images/chartmuseum_dev/seed_7/c000066.png | What is the price difference between the most and least expensive land-locked state to rent in? | $771 | chart_data/chartmuseum_dev/seed_7/c000066.json | chartmuseum_dev | 58 |
c000066 | q000094 | seed_8 | images/chartmuseum_dev/seed_8/c000066.png | If you rented in two states, SD and WV, how much money would you still save per month over the average rent in California? | $794 | chart_data/chartmuseum_dev/seed_8/c000066.json | chartmuseum_dev | 13 |
c000066 | q000095 | seed_8 | images/chartmuseum_dev/seed_8/c000066.png | What is the price difference between the most and least expensive land-locked state to rent in? | $995 | chart_data/chartmuseum_dev/seed_8/c000066.json | chartmuseum_dev | 58 |
c000066 | q000094 | seed_9 | images/chartmuseum_dev/seed_9/c000066.png | If you rented in two states, SD and WV, how much money would you still save per month over the average rent in California? | $214 | chart_data/chartmuseum_dev/seed_9/c000066.json | chartmuseum_dev | 13 |
c000066 | q000095 | seed_9 | images/chartmuseum_dev/seed_9/c000066.png | What is the price difference between the most and least expensive land-locked state to rent in? | $959 | chart_data/chartmuseum_dev/seed_9/c000066.json | chartmuseum_dev | 58 |
c000067 | q000096 | original | Based on the changing rate of same-sex marriages shown on the map, assume Wisconsin had 100,000 married households in 2014, with 100 being same-sex couples. If Wisconsin now has 250 same-sex couples in 2023, how many total married households are there in 2023? | 125000 | chartmuseum_dev | 127 | ||
c000067 | q000096 | reconstruction | images/chartmuseum_dev/reconstruction/c000067.png | Based on the changing rate of same-sex marriages shown on the map, assume Wisconsin had 100,000 married households in 2014, with 100 being same-sex couples. If Wisconsin now has 250 same-sex couples in 2023, how many total married households are there in 2023? | 125000 | chart_data/chartmuseum_dev/reconstruction/c000067.json | chartmuseum_dev | 127 |
c000067 | q000096 | seed_0 | images/chartmuseum_dev/seed_0/c000067.png | Based on the changing rate of same-sex marriages shown on the map, assume Wisconsin had 100,000 married households in 2014, with 100 being same-sex couples. If Wisconsin now has 250 same-sex couples in 2023, how many total married households are there in 2023? | 132979 | chart_data/chartmuseum_dev/seed_0/c000067.json | chartmuseum_dev | 127 |
c000067 | q000096 | seed_1 | images/chartmuseum_dev/seed_1/c000067.png | Based on the changing rate of same-sex marriages shown on the map, assume Wisconsin had 100,000 married households in 2014, with 100 being same-sex couples. If Wisconsin now has 250 same-sex couples in 2023, how many total married households are there in 2023? | 136612 | chart_data/chartmuseum_dev/seed_1/c000067.json | chartmuseum_dev | 127 |
c000067 | q000096 | seed_2 | images/chartmuseum_dev/seed_2/c000067.png | Based on the changing rate of same-sex marriages shown on the map, assume Wisconsin had 100,000 married households in 2014, with 100 being same-sex couples. If Wisconsin now has 250 same-sex couples in 2023, how many total married households are there in 2023? | 333333 | chart_data/chartmuseum_dev/seed_2/c000067.json | chartmuseum_dev | 127 |
c000067 | q000096 | seed_3 | images/chartmuseum_dev/seed_3/c000067.png | Based on the changing rate of same-sex marriages shown on the map, assume Wisconsin had 100,000 married households in 2014, with 100 being same-sex couples. If Wisconsin now has 250 same-sex couples in 2023, how many total married households are there in 2023? | 179856 | chart_data/chartmuseum_dev/seed_3/c000067.json | chartmuseum_dev | 127 |
c000067 | q000096 | seed_4 | images/chartmuseum_dev/seed_4/c000067.png | Based on the changing rate of same-sex marriages shown on the map, assume Wisconsin had 100,000 married households in 2014, with 100 being same-sex couples. If Wisconsin now has 250 same-sex couples in 2023, how many total married households are there in 2023? | 178571 | chart_data/chartmuseum_dev/seed_4/c000067.json | chartmuseum_dev | 127 |
c000067 | q000096 | seed_5 | images/chartmuseum_dev/seed_5/c000067.png | Based on the changing rate of same-sex marriages shown on the map, assume Wisconsin had 100,000 married households in 2014, with 100 being same-sex couples. If Wisconsin now has 250 same-sex couples in 2023, how many total married households are there in 2023? | 131579 | chart_data/chartmuseum_dev/seed_5/c000067.json | chartmuseum_dev | 127 |
c000067 | q000096 | seed_6 | images/chartmuseum_dev/seed_6/c000067.png | Based on the changing rate of same-sex marriages shown on the map, assume Wisconsin had 100,000 married households in 2014, with 100 being same-sex couples. If Wisconsin now has 250 same-sex couples in 2023, how many total married households are there in 2023? | 257732 | chart_data/chartmuseum_dev/seed_6/c000067.json | chartmuseum_dev | 127 |
c000067 | q000096 | seed_7 | images/chartmuseum_dev/seed_7/c000067.png | Based on the changing rate of same-sex marriages shown on the map, assume Wisconsin had 100,000 married households in 2014, with 100 being same-sex couples. If Wisconsin now has 250 same-sex couples in 2023, how many total married households are there in 2023? | 132275 | chart_data/chartmuseum_dev/seed_7/c000067.json | chartmuseum_dev | 127 |
c000067 | q000096 | seed_8 | images/chartmuseum_dev/seed_8/c000067.png | Based on the changing rate of same-sex marriages shown on the map, assume Wisconsin had 100,000 married households in 2014, with 100 being same-sex couples. If Wisconsin now has 250 same-sex couples in 2023, how many total married households are there in 2023? | 123762 | chart_data/chartmuseum_dev/seed_8/c000067.json | chartmuseum_dev | 127 |
c000067 | q000096 | seed_9 | images/chartmuseum_dev/seed_9/c000067.png | Based on the changing rate of same-sex marriages shown on the map, assume Wisconsin had 100,000 married households in 2014, with 100 being same-sex couples. If Wisconsin now has 250 same-sex couples in 2023, how many total married households are there in 2023? | 206612 | chart_data/chartmuseum_dev/seed_9/c000067.json | chartmuseum_dev | 127 |
c000068 | q000097 | original | How much money is spent on Earth-based infrastructure, launch services, and manufacturing? | 67 Billion | chartmuseum_dev | 101 | ||
c000068 | q000097 | reconstruction | images/chartmuseum_dev/reconstruction/c000068.png | How much money is spent on Earth-based infrastructure, launch services, and manufacturing? | 67B | chart_data/chartmuseum_dev/reconstruction/c000068.json | chartmuseum_dev | 101 |
c000068 | q000097 | seed_0 | images/chartmuseum_dev/seed_0/c000068.png | How much money is spent on Earth-based infrastructure, launch services, and manufacturing? | 117B | chart_data/chartmuseum_dev/seed_0/c000068.json | chartmuseum_dev | 101 |
c000068 | q000097 | seed_1 | images/chartmuseum_dev/seed_1/c000068.png | How much money is spent on Earth-based infrastructure, launch services, and manufacturing? | 33B | chart_data/chartmuseum_dev/seed_1/c000068.json | chartmuseum_dev | 101 |
c000068 | q000097 | seed_2 | images/chartmuseum_dev/seed_2/c000068.png | How much money is spent on Earth-based infrastructure, launch services, and manufacturing? | 114B | chart_data/chartmuseum_dev/seed_2/c000068.json | chartmuseum_dev | 101 |
c000068 | q000097 | seed_3 | images/chartmuseum_dev/seed_3/c000068.png | How much money is spent on Earth-based infrastructure, launch services, and manufacturing? | 59B | chart_data/chartmuseum_dev/seed_3/c000068.json | chartmuseum_dev | 101 |
c000068 | q000097 | seed_4 | images/chartmuseum_dev/seed_4/c000068.png | How much money is spent on Earth-based infrastructure, launch services, and manufacturing? | 146B | chart_data/chartmuseum_dev/seed_4/c000068.json | chartmuseum_dev | 101 |
c000068 | q000097 | seed_5 | images/chartmuseum_dev/seed_5/c000068.png | How much money is spent on Earth-based infrastructure, launch services, and manufacturing? | 40B | chart_data/chartmuseum_dev/seed_5/c000068.json | chartmuseum_dev | 101 |
c000068 | q000097 | seed_6 | images/chartmuseum_dev/seed_6/c000068.png | How much money is spent on Earth-based infrastructure, launch services, and manufacturing? | 62B | chart_data/chartmuseum_dev/seed_6/c000068.json | chartmuseum_dev | 101 |
c000068 | q000097 | seed_7 | images/chartmuseum_dev/seed_7/c000068.png | How much money is spent on Earth-based infrastructure, launch services, and manufacturing? | 97B | chart_data/chartmuseum_dev/seed_7/c000068.json | chartmuseum_dev | 101 |
c000068 | q000097 | seed_8 | images/chartmuseum_dev/seed_8/c000068.png | How much money is spent on Earth-based infrastructure, launch services, and manufacturing? | 58B | chart_data/chartmuseum_dev/seed_8/c000068.json | chartmuseum_dev | 101 |
c000068 | q000097 | seed_9 | images/chartmuseum_dev/seed_9/c000068.png | How much money is spent on Earth-based infrastructure, launch services, and manufacturing? | 34B | chart_data/chartmuseum_dev/seed_9/c000068.json | chartmuseum_dev | 101 |
c000069 | q000098 | original | You are presented with a map that shows the drivers of habitat conversion. Among all regions (Maya Forest - Mexico/Guatemaia, Mekong - Myanmar, ...) in the map, list the regions where cattle ranching and large-scale agriculture are the only drivers of conversion. | Cerrado -- Brazil | chartmuseum_dev | 90 | ||
c000069 | q000099 | original | You are presented with a map that shows the drivers of habitat conversions. Which one of the three icons is the most common driver of conversion? | Smallholder farming | chartmuseum_dev | 157 | ||
c000069 | q000098 | reconstruction | images/chartmuseum_dev/reconstruction/c000069.png | You are presented with a map that shows the drivers of habitat conversion. Among all regions (Maya Forest - Mexico/Guatemaia, Mekong - Myanmar, ...) in the map, list the regions where cattle ranching and large-scale agriculture are the only drivers of conversion. | Cerrado – Brazil | chart_data/chartmuseum_dev/reconstruction/c000069.json | chartmuseum_dev | 90 |
c000069 | q000099 | reconstruction | images/chartmuseum_dev/reconstruction/c000069.png | You are presented with a map that shows the drivers of habitat conversions. Which one of the three icons is the most common driver of conversion? | Smallholder farming | chart_data/chartmuseum_dev/reconstruction/c000069.json | chartmuseum_dev | 157 |
c000069 | q000098 | seed_0 | images/chartmuseum_dev/seed_0/c000069.png | You are presented with a map that shows the drivers of habitat conversion. Among all regions (Maya Forest - Mexico/Guatemaia, Mekong - Myanmar, ...) in the map, list the regions where cattle ranching and large-scale agriculture are the only drivers of conversion. | Eastern
Australia, Sumatra – Indonesia | chart_data/chartmuseum_dev/seed_0/c000069.json | chartmuseum_dev | 90 |
c000069 | q000099 | seed_0 | images/chartmuseum_dev/seed_0/c000069.png | You are presented with a map that shows the drivers of habitat conversions. Which one of the three icons is the most common driver of conversion? | Large-scale agriculture | chart_data/chartmuseum_dev/seed_0/c000069.json | chartmuseum_dev | 157 |
c000069 | q000098 | seed_1 | images/chartmuseum_dev/seed_1/c000069.png | You are presented with a map that shows the drivers of habitat conversion. Among all regions (Maya Forest - Mexico/Guatemaia, Mekong - Myanmar, ...) in the map, list the regions where cattle ranching and large-scale agriculture are the only drivers of conversion. | None | chart_data/chartmuseum_dev/seed_1/c000069.json | chartmuseum_dev | 90 |
c000069 | q000099 | seed_1 | images/chartmuseum_dev/seed_1/c000069.png | You are presented with a map that shows the drivers of habitat conversions. Which one of the three icons is the most common driver of conversion? | Smallholder farming | chart_data/chartmuseum_dev/seed_1/c000069.json | chartmuseum_dev | 157 |
c000069 | q000098 | seed_2 | images/chartmuseum_dev/seed_2/c000069.png | You are presented with a map that shows the drivers of habitat conversion. Among all regions (Maya Forest - Mexico/Guatemaia, Mekong - Myanmar, ...) in the map, list the regions where cattle ranching and large-scale agriculture are the only drivers of conversion. | Amazon – Brazil, Gran Chaco – Paraguay/Argentina | chart_data/chartmuseum_dev/seed_2/c000069.json | chartmuseum_dev | 90 |
c000069 | q000099 | seed_2 | images/chartmuseum_dev/seed_2/c000069.png | You are presented with a map that shows the drivers of habitat conversions. Which one of the three icons is the most common driver of conversion? | Cattle ranching | chart_data/chartmuseum_dev/seed_2/c000069.json | chartmuseum_dev | 157 |
c000069 | q000098 | seed_3 | images/chartmuseum_dev/seed_3/c000069.png | You are presented with a map that shows the drivers of habitat conversion. Among all regions (Maya Forest - Mexico/Guatemaia, Mekong - Myanmar, ...) in the map, list the regions where cattle ranching and large-scale agriculture are the only drivers of conversion. | Amazon – Brazil, Amazon –
Venezuela/Guyana | chart_data/chartmuseum_dev/seed_3/c000069.json | chartmuseum_dev | 90 |
c000069 | q000099 | seed_3 | images/chartmuseum_dev/seed_3/c000069.png | You are presented with a map that shows the drivers of habitat conversions. Which one of the three icons is the most common driver of conversion? | Large-scale agriculture | chart_data/chartmuseum_dev/seed_3/c000069.json | chartmuseum_dev | 157 |
c000069 | q000098 | seed_4 | images/chartmuseum_dev/seed_4/c000069.png | You are presented with a map that shows the drivers of habitat conversion. Among all regions (Maya Forest - Mexico/Guatemaia, Mekong - Myanmar, ...) in the map, list the regions where cattle ranching and large-scale agriculture are the only drivers of conversion. | None | chart_data/chartmuseum_dev/seed_4/c000069.json | chartmuseum_dev | 90 |
c000069 | q000099 | seed_4 | images/chartmuseum_dev/seed_4/c000069.png | You are presented with a map that shows the drivers of habitat conversions. Which one of the three icons is the most common driver of conversion? | Smallholder farming | chart_data/chartmuseum_dev/seed_4/c000069.json | chartmuseum_dev | 157 |
c000069 | q000098 | seed_5 | images/chartmuseum_dev/seed_5/c000069.png | You are presented with a map that shows the drivers of habitat conversion. Among all regions (Maya Forest - Mexico/Guatemaia, Mekong - Myanmar, ...) in the map, list the regions where cattle ranching and large-scale agriculture are the only drivers of conversion. | Amazon – Colombia, Amazon –
Colombia/Ecuador, Amazon –
Venezuela/Guyana | chart_data/chartmuseum_dev/seed_5/c000069.json | chartmuseum_dev | 90 |
c000069 | q000099 | seed_5 | images/chartmuseum_dev/seed_5/c000069.png | You are presented with a map that shows the drivers of habitat conversions. Which one of the three icons is the most common driver of conversion? | Smallholder farming | chart_data/chartmuseum_dev/seed_5/c000069.json | chartmuseum_dev | 157 |
c000069 | q000098 | seed_6 | images/chartmuseum_dev/seed_6/c000069.png | You are presented with a map that shows the drivers of habitat conversion. Among all regions (Maya Forest - Mexico/Guatemaia, Mekong - Myanmar, ...) in the map, list the regions where cattle ranching and large-scale agriculture are the only drivers of conversion. | Borneo –
Indonesia/Malaysia, Central Africa –
Zambia, Cerrado – Brazil, Eastern
Australia, Gran Chaco – Paraguay/Argentina | chart_data/chartmuseum_dev/seed_6/c000069.json | chartmuseum_dev | 90 |
c000069 | q000099 | seed_6 | images/chartmuseum_dev/seed_6/c000069.png | You are presented with a map that shows the drivers of habitat conversions. Which one of the three icons is the most common driver of conversion? | Large-scale agriculture | chart_data/chartmuseum_dev/seed_6/c000069.json | chartmuseum_dev | 157 |
c000069 | q000098 | seed_7 | images/chartmuseum_dev/seed_7/c000069.png | You are presented with a map that shows the drivers of habitat conversion. Among all regions (Maya Forest - Mexico/Guatemaia, Mekong - Myanmar, ...) in the map, list the regions where cattle ranching and large-scale agriculture are the only drivers of conversion. | Amazon –
Colombia/Ecuador, Amazon –
Venezuela/Guyana, Maya Forests – Mexico/Guatemala, Mekong – Laos | chart_data/chartmuseum_dev/seed_7/c000069.json | chartmuseum_dev | 90 |
c000069 | q000099 | seed_7 | images/chartmuseum_dev/seed_7/c000069.png | You are presented with a map that shows the drivers of habitat conversions. Which one of the three icons is the most common driver of conversion? | Smallholder farming | chart_data/chartmuseum_dev/seed_7/c000069.json | chartmuseum_dev | 157 |
c000069 | q000098 | seed_8 | images/chartmuseum_dev/seed_8/c000069.png | You are presented with a map that shows the drivers of habitat conversion. Among all regions (Maya Forest - Mexico/Guatemaia, Mekong - Myanmar, ...) in the map, list the regions where cattle ranching and large-scale agriculture are the only drivers of conversion. | None | chart_data/chartmuseum_dev/seed_8/c000069.json | chartmuseum_dev | 90 |
c000069 | q000099 | seed_8 | images/chartmuseum_dev/seed_8/c000069.png | You are presented with a map that shows the drivers of habitat conversions. Which one of the three icons is the most common driver of conversion? | Smallholder farming | chart_data/chartmuseum_dev/seed_8/c000069.json | chartmuseum_dev | 157 |
c000069 | q000098 | seed_9 | images/chartmuseum_dev/seed_9/c000069.png | You are presented with a map that shows the drivers of habitat conversion. Among all regions (Maya Forest - Mexico/Guatemaia, Mekong - Myanmar, ...) in the map, list the regions where cattle ranching and large-scale agriculture are the only drivers of conversion. | Amazon –
Colombia/Ecuador, Eastern
Australia, Mekong – Cambodia | chart_data/chartmuseum_dev/seed_9/c000069.json | chartmuseum_dev | 90 |
c000069 | q000099 | seed_9 | images/chartmuseum_dev/seed_9/c000069.png | You are presented with a map that shows the drivers of habitat conversions. Which one of the three icons is the most common driver of conversion? | Cattle ranching | chart_data/chartmuseum_dev/seed_9/c000069.json | chartmuseum_dev | 157 |
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