CURV: Enhancing Chart Understanding Through Curriculum Visual Grounded Reasoning
Paper • 2608.02833 • Published
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ccqa_id string | sample_id string | image string | query string | reasoning string | grounding string | answer string | curriculum string | curriculum_tier string | chart_type string | category string |
|---|---|---|---|---|---|---|---|---|---|---|
2_histogram__img_27__category27__vertical__labeled__angle60__xbottom__yleft_qa187 | ccqa_1 | 2_histogram__img_27__category27__vertical__labeled__angle60__xbottom__yleft.png | Among all the bars shown in this histogram, which bin is represented as the rightmost bar? | {"step_1": "First, I need to find the rightmost bar in this histogram.", "step_2": "Second, I need to read its bin label."} | {"step_1": [[2401, 1918, 2955, 2188]], "step_2": [[2401, 1918, 2955, 2188]]} | 12-14 | level1 | tier1 | 2_histogram | 27 - Fashion & Apparel |
1_bar__img_8__category8__angle90__horizontal__labeled__w_legend__xtop__yright_qa1194 | ccqa_2 | 1_bar__img_8__category8__angle90__horizontal__labeled__w_legend__xtop__yright.png | Comparing between Fungi and Mollusks, which taxonomic group has its bar one the upper of the other in this chart? | {"step_1": "First, I need to identify these two taxonomic groups in the chart image.", "step_2": "Second, I need to compare their position to find the upper one."} | {"step_1": [[2207, 1112, 2536, 1182], [60, 1129, 1463, 1285], [2628, 1176, 2775, 1246], [2207, 1301, 2470, 1371], [60, 1714, 1721, 1870], [2628, 1761, 2841, 1831]], "step_2": [[2207, 1112, 2536, 1182], [60, 1714, 1721, 1870], [2628, 1761, 2841, 1831]]} | Mollusks | level2 | tier2 | 1_bar | 8 - Biology & Chemistry |
4_line__img_27__category27__vertical__w_markers__labeled__w_legend__xbottom__yleft_qa617 | ccqa_3 | 4_line__img_27__category27__vertical__w_markers__labeled__w_legend__xbottom__yleft.png | Please sort brands that have their labels among 'Zara, Uniqlo, Gap' in ascending order according to their total Revenue ($ Billion), and provide their sorted sequence separated with commas. | {"step_1": "First, I need to identify the brands that have their labels among 'Zara, Uniqlo, Gap'.", "step_2": "Second, I need to read their 'Revenue ($ Billion)' values and calculate their totals.", "step_3": "Third, I need to sort them in ascending order according to their total Revenue ($ Billion)."} | {"step_1": [[206, 142, 466, 212], [206, 267, 501, 400], [275, 1038, 371, 1141], [275, 1763, 371, 1852], [275, 2005, 372, 2089]], "step_2": [[206, 142, 466, 212], [206, 267, 501, 400], [275, 1038, 371, 1141], [275, 1763, 371, 1852], [275, 2005, 372, 2089]], "step_3": [[206, 142, 466, 212], [206, 267, 501, 400], [275, 10... | Gap, Uniqlo, Zara | level2 | tier2 | 4_line | 27 - Fashion & Apparel |
3_scatter__img_16__category16__horizontal__labeled__w_legend__xtop__yright_qa3326 | ccqa_4 | 3_scatter__img_16__category16__horizontal__labeled__w_legend__xtop__yright.png | Among countries whose CO₂ Emissions (Mt) are above the average CO₂ Emissions (Mt) of all countries, what is the label of the country that has the lowest CO₂ Emissions (Mt)? | {"step_1": "First, I need to read the CO₂ Emissions (Mt) of each country in this chart.", "step_2": "Second, I need to compute the average CO₂ Emissions (Mt) of all countries.", "step_3": "Third, I need to find all the countries whose CO₂ Emissions (Mt) is higher than 274.0.", "step_4": "Fourth, I need to identify the ... | {"step_1": [[2560, 255, 2711, 373], [89, 268, 185, 910], [194, 271, 420, 907], [669, 447, 836, 560], [1961, 830, 2115, 945], [46, 1021, 240, 1134], [2234, 1213, 2370, 1329], [1512, 1289, 1603, 1403], [408, 1519, 581, 1632], [1367, 1596, 1518, 1709], [1633, 1979, 1859, 2094], [716, 2171, 836, 2284]], "step_2": [[2560, 2... | Japan | level2 | tier3 | 3_scatter | 16 - Energy & Environment |
4_line__img_24__category24__horizontal__w_markers__labeled__w_legend__xtop__yright_qa388 | ccqa_5 | 4_line__img_24__category24__horizontal__w_markers__labeled__w_legend__xtop__yright.png | Where is the data point with the highest Therapy Sessions (Million) located among therapy types whose average Therapy Sessions (Million) are above the lowest while below the highest? | {"step_1": "First, I need to identify the therapy types whose average Therapy Sessions (Million) are above the lowest while below the highest.", "step_2": "Second, I need to read all their 'Therapy Sessions (Million)' values.", "step_3": "Third, I need to compare them to find the data point with the highest Therapy Ses... | {"step_1": [[2158, 2136, 2703, 2206], [130, 2227, 267, 2290], [832, 2228, 984, 2290], [2158, 2262, 2635, 2332]], "step_2": [[1043, 313, 1199, 375], [1535, 313, 1700, 374], [903, 695, 1055, 759], [1394, 696, 1557, 758], [831, 1079, 984, 1142], [1254, 1079, 1414, 1141], [270, 1461, 411, 1525], [1113, 1462, 1271, 1524], [... | Cognitive Therapy at 2024 | level2 | tier2 | 4_line | 24 - Psychology & Personality |
multi_relation__img144__24__Psychology_&_Personality__4_line_6_pie__1_bar__4_line__5_heatmap__6_pie_qa14399 | ccqa_6 | multi_relation__img144__24__Psychology_&_Personality__4_line_6_pie__1_bar__4_line__5_heatmap__6_pie.png | For the groups Openness, Conscientiousness, Extraversion, Agreeableness, calculate the ratio between their combined Average Trait Score by Group and combined participants. Please round to two decimal places. | {"step_1": "First, I need to find and sum the Average Trait Score by Group for Openness, Conscientiousness, Extraversion, Agreeableness in the upper right subplot.", "step_2": "Second, I need to find and sum the participants for the same groups in the lower right subplot.", "step_3": "Third, I need to calculate the rat... | {"step_1": [[3849, 72, 3941, 120], [3849, 126, 3941, 283], [5155, 140, 5559, 395], [3849, 396, 3941, 445], [3328, 451, 3419, 500], [3860, 487, 3932, 548], [3328, 539, 3419, 607], [3849, 559, 3941, 607], [3338, 646, 3410, 708], [3860, 646, 3932, 708], [3067, 722, 3158, 770], [3328, 776, 3419, 824], [3077, 806, 3149, 867... | 2.10 | level3 | tier5 | multi_relation | 24 - Psychology & Personality |
1_bar__img_17__category17__angle30__vertical__labeled__w_legend__xbottom__yleft_qa1796__mmqa_9066_mask1 | ccqa_7 | multi__img9066__1_bar__7_radar__4_line__2_histogram.png | According to the bar chart, what is the lowest Annual Tourists (Millions) among countries that have their Annual Tourists (Millions) above the average Annual Tourists (Millions) of all bars? | {"step_1": "First, I need to find the bar chart subplot.", "step_2": "Second, I need to read the Annual Tourists (Millions) of each country in this chart.", "step_3": "Third, I need to compute their average Annual Tourists (Millions).", "step_4": "Fourth, I need to find all the countries whose Annual Tourists (Millions... | {"step_1": [[0, 0, 2876, 2369]], "step_2": [[438, 306, 1122, 4200], [1158, 382, 1568, 4244], [1670, 512, 2078, 4244], [2182, 538, 2590, 4244], [4228, 606, 4636, 4244], [4738, 682, 5148, 4244], [5250, 754, 5660, 4244], [2692, 800, 3102, 4244], [3204, 872, 3614, 4244], [3716, 952, 4124, 4244], [646, 4204, 1056, 4244], [5... | 84.10 | level3 | tier4 | 1_bar | 17 - Travel & Expedition |
1_bar__img_24__category24__angle90__horizontal__labeled__w_legend__xtop__yright_qa434__mmqa_11149_mask2 | ccqa_8 | multi__img11149__5_heatmap__1_bar__3_scatter__2_histogram.png | According to the bar chart, what is the sum of Average Trait Score for bars that are represented by the 1st, 3rd, 4th, 6th, 7th bars? | {"step_1": "First, I need to find the bar chart subplot.", "step_2": "Second, I need to identify the bars that are represented by the 1st, 3rd, 4th, 6th, 7th bars.", "step_3": "Third, I need to calculate their total Average Trait Score."} | {"step_1": [[2876, 0, 5752, 2369]], "step_2": [[3079, 277, 3435, 347], [3079, 403, 3536, 537], [3079, 591, 3588, 725], [3060, 934, 5058, 1090], [5061, 977, 5188, 1047], [5482, 982, 5695, 1052], [3060, 1129, 5195, 1285], [5200, 1172, 5327, 1242], [5482, 1176, 5876, 1246], [3060, 1519, 5356, 1675], [5362, 1561, 5824, 163... | 347.90 | level3 | tier4 | 1_bar | 24 - Psychology & Personality |
2_histogram__img_19__category19__vertical__labeled__angle60__xbottom__yleft_qa551 | ccqa_9 | 2_histogram__img_19__category19__vertical__labeled__angle60__xbottom__yleft.png | What is the sum of Number of Employees for bins that have their Number of Employees above the mean Number of Employees of all bins? | {"step_1": "First, I need to read the Number of Employees of each bin in this histogram.", "step_2": "Second, I need to calculate the average Number of Employees among all bins.", "step_3": "Third, I need to find all the bins whose Number of Employees is higher than 36.166666666666664.", "step_4": "Fourth, I need to ca... | {"step_1": [[198, 148, 2955, 2188]], "step_2": [[198, 148, 2955, 2188]], "step_3": [[654, 148, 2039, 2188]], "step_4": [[654, 148, 2039, 2188]]} | 195 | level2 | tier3 | 2_histogram | 19 - Communication & Collaboration |
3_scatter__img_24__category24__horizontal__labeled__w_legend__xtop__yright_qa1801__mmqa_8338_mask4 | ccqa_10 | multi__img8338__2_histogram__5_heatmap__6_pie__3_scatter.png | According to the scatter chart, among students with their Stress Level (0-100) higher than 30 but lower than 100, what is the label of the student that has the highest Stress Level (0-100)? | {"step_1": "First, I need to find the scatter chart subplot.", "step_2": "Second, I need to find all the students with their Stress Level (0-100) higher than 30 but lower than 100.", "step_3": "Third, I need to compare their Stress Level (0-100) to find the one with the highest Stress Level (0-100)."} | {"step_1": [[2726, 2368, 5452, 4736]], "step_2": [[5075, 2655, 5242, 2813], [3134, 2668, 3228, 2744], [3239, 2671, 3373, 2741], [3133, 2857, 3229, 3310], [3238, 2860, 3398, 3307], [4897, 3065, 5063, 3221], [5428, 3202, 5600, 3364], [3660, 3613, 3815, 3752], [4404, 4023, 4527, 4173], [4011, 4160, 4170, 4306], [3514, 443... | Fahim | level3 | tier4 | 3_scatter | 24 - Psychology & Personality |
1_bar__img_11__category11__angle60__vertical__labeled__w_legend__xbottom__yleft_qa1836 | ccqa_11 | 1_bar__img_11__category11__angle60__vertical__labeled__w_legend__xbottom__yleft.png | Which category has the highest Annual Sales ($ Billion) among categories that have their Annual Sales ($ Billion) below the average Annual Sales ($ Billion) of all bars? | {"step_1": "First, I need to read the Annual Sales ($ Billion) of each category in this chart.", "step_2": "Second, I need to compute their average Annual Sales ($ Billion).", "step_3": "Third, I need to find all the categories whose Annual Sales ($ Billion) is lower than 244.73.", "step_4": "Fourth, I need to identify... | {"step_1": [[349, 146, 551, 1938], [1344, 148, 1836, 783], [602, 342, 805, 1938], [2375, 510, 2578, 1938], [2628, 665, 2831, 1938], [855, 790, 1058, 1938], [1109, 903, 1311, 1938], [1362, 1000, 1565, 1938], [1615, 1084, 1818, 1938], [1868, 1172, 2071, 1938], [2122, 1242, 2324, 1938], [268, 1941, 482, 2211], [548, 1941,... | Sporting Goods | level2 | tier3 | 1_bar | 11 - Sale & Merchandise |
3_scatter__img_2__category2__horizontal__labeled__w_legend__xtop__yright_qa1546 | ccqa_12 | 3_scatter__img_2__category2__horizontal__labeled__w_legend__xtop__yright.png | What is largest Average Age (Years) among cities whose City Population (Millions) are above the lowest while below the highest? | {"step_1": "First, I need to identify the cities whose City Population (Millions) are above the lowest while below the highest.", "step_2": "Second, I need to compare their Average Age (Years) to find the one with the highest Average Age (Years)."} | {"step_1": [[2387, 268, 2483, 470], [2492, 271, 2775, 467], [2388, 520, 2482, 596], [2493, 523, 2692, 593], [2387, 645, 2483, 910], [2492, 648, 2782, 907], [267, 692, 514, 805], [441, 817, 643, 930], [805, 1046, 1094, 1159], [748, 1359, 1029, 1472], [1733, 1400, 1932, 1513], [2255, 1692, 2479, 1805], [1898, 1796, 2060,... | 39.30 | level2 | tier2 | 3_scatter | 2 - Geography & Demography |
7_radar__img_18__category18__labeled__w_legend_qa334 | ccqa_13 | 7_radar__img_18__category18__labeled__w_legend.png | What is the value for Renaissance Art on the Cultural Impact axis? | {"step_1": "First, I need to locate Renaissance Art in the radar chart.", "step_2": "Second, I need to find the 'Cultural Impact' axis and read the value for Renaissance Art."} | {"step_1": [[4165, 349, 5168, 515], [3821, 381, 4152, 467], [322, 1870, 1378, 2117], [1734, 2226, 2064, 2442]], "step_2": [[4165, 349, 5168, 515], [3821, 381, 4152, 467], [322, 1870, 1378, 2117], [1734, 2226, 2064, 2442]]} | 7.50 | level1 | tier1 | 7_radar | 18 - Arts & Culture |
4_line__img_6__category6__horizontal__w_markers__labeled__w_legend__xtop__yright_qa317 | ccqa_14 | 4_line__img_6__category6__horizontal__w_markers__labeled__w_legend__xtop__yright.png | Where is the data point with the lowest Population in Reserves (Thousands) located among species whose total Population in Reserves (Thousands) are above the lowest while below the highest? | {"step_1": "First, I need to identify the species whose total Population in Reserves (Thousands) are above the lowest while below the highest.", "step_2": "Second, I need to read all their 'Population in Reserves (Thousands)' values.", "step_3": "Third, I need to compare them to find the data point with the lowest Popu... | {"step_1": [[2222, 1235, 2521, 1368], [430, 2228, 563, 2290], [1449, 2228, 1623, 2290]], "step_2": [[508, 313, 642, 374], [1599, 313, 1777, 374], [490, 696, 624, 758], [1569, 696, 1746, 758], [478, 1079, 612, 1141], [1539, 1079, 1715, 1141], [2222, 1235, 2521, 1368], [460, 1462, 593, 1524], [1509, 1462, 1685, 1524], [4... | Gorilla at 2019 | level2 | tier2 | 4_line | 6 - Animal & Zoology |
1_bar__img_11__category11__angle60__vertical__labeled__w_legend__xbottom__yleft_qa1864 | ccqa_15 | 1_bar__img_11__category11__angle60__vertical__labeled__w_legend__xbottom__yleft.png | What is the sum of Annual Sales ($ Billion) for categories that have their Annual Sales ($ Billion) below the mean Annual Sales ($ Billion) of all bars? | {"step_1": "First, I need to read the Annual Sales ($ Billion) of each category in this chart.", "step_2": "Second, I need to calculate their average Annual Sales ($ Billion).", "step_3": "Third, I need to find all the categories whose Annual Sales ($ Billion) is lower than 244.73.", "step_4": "Fourth, I need to calcul... | {"step_1": [[349, 146, 551, 1938], [1344, 148, 1836, 783], [602, 342, 805, 1938], [2375, 510, 2578, 1938], [2628, 665, 2831, 1938], [855, 790, 1058, 1938], [1109, 903, 1311, 1938], [1362, 1000, 1565, 1938], [1615, 1084, 1818, 1938], [1868, 1172, 2071, 1938], [2122, 1242, 2324, 1938], [268, 1941, 482, 2211], [548, 1941,... | 1141.30 | level2 | tier3 | 1_bar | 11 - Sale & Merchandise |
7_radar__img_3__category3__labeled__w_legend_qa115 | ccqa_16 | 7_radar__img_3__category3__labeled__w_legend.png | What is the median value for data points for the education factors Curriculum, Faculty Expertise, Research Output? | {"step_1": "First, I need to identify the data points for the education factors Curriculum, Faculty Expertise, Research Output.", "step_2": "Second, I need to calculate their median."} | {"step_1": [[2569, 315, 3370, 562], [4103, 349, 4867, 515], [3760, 381, 4090, 467], [4103, 521, 4830, 687], [3760, 554, 4090, 639], [4103, 693, 5147, 859], [3760, 726, 4090, 811], [2804, 820, 3135, 1034], [2804, 1083, 3135, 1297], [2803, 1432, 3136, 1647], [3979, 1870, 5689, 2415], [3524, 3571, 3994, 3978], [3840, 4007... | 8.50 | level2 | tier2 | 7_radar | 3 - Education & Academia |
4_line__img_10__category10__horizontal__w_markers__labeled__w_legend__xtop__yright_qa706 | ccqa_17 | 4_line__img_10__category10__horizontal__w_markers__labeled__w_legend__xtop__yright.png | What Annual Launches does SpaceX have at 2023? | {"step_1": "First, I need to find the line representing SpaceX.", "step_2": "Second, I need to read its Annual Launches value at 2023."} | {"step_1": [[53, 334, 372, 404], [2224, 696, 2395, 758]], "step_2": [[53, 334, 372, 404], [2224, 696, 2395, 758]]} | 26 | level1 | tier1 | 4_line | 10 - Space & Astronomy |
3_scatter__img_5__category5__vertical__labeled__w_legend__xbottom__yleft_qa3100 | ccqa_18 | 3_scatter__img_5__category5__vertical__labeled__w_legend__xbottom__yleft.png | What is the GPA value for Art? | {"step_1": "First, I need to find the scatter point representing the major 'Art'.", "step_2": "Second, I need to read its GPA."} | {"step_1": [[2325, 1348, 2419, 1424], [2430, 1351, 2526, 1421], [278, 2029, 452, 2171]], "step_2": [[2325, 1348, 2419, 1424], [2430, 1351, 2526, 1421], [278, 2029, 452, 2171]]} | 3.10 | level1 | tier1 | 3_scatter | 5 - Major & Course |
6_pie__img_147__category6__w_percent__wo_value__w_legend__seg4__angle30_qa463 | ccqa_19 | 6_pie__img_147__category6__w_percent__wo_value__w_legend__seg4__angle30.png | What is the absolute difference between the total percentage of animal classes above the mean percentage and those below it? Please round to two decimal places. | {"step_1": "First, I need to read the percentage of each animal class in this chart.", "step_2": "Second, I need to compute the average percentage.", "step_3": "Third, I need to find the first group of animal classes whose percentage is higher than 20.00% and the second group of animal classes whose percentage is lower... | {"step_1": [[1493, 162, 1733, 244], [126, 273, 2382, 2260], [2559, 1132, 2955, 1454], [2255, 1550, 2518, 1632], [944, 2284, 1134, 2366]], "step_2": [[1493, 162, 1733, 244], [126, 273, 2382, 2260], [2559, 1132, 2955, 1454], [2255, 1550, 2518, 1632], [944, 2284, 1134, 2366]], "step_3": [[1493, 162, 1733, 244], [126, 273,... | 22.06% | level2 | tier3 | 6_pie | 6 - Animal & Zoology |
4_line__img_20__category20__horizontal__w_markers__labeled__w_legend__xtop__yright_qa292 | ccqa_20 | 4_line__img_20__category20__horizontal__w_markers__labeled__w_legend__xtop__yright.png | Among languages that have their total Learners Worldwide (Billion) above the lowest while below the highest, what is the largest Learners Worldwide (Billion)? | {"step_1": "First, I need to identify the languages that have their total Learners Worldwide (Billion) above the lowest while below the highest.", "step_2": "Second, I need to read all their 'Learners Worldwide (Billion)' values.", "step_3": "Third, I need to compare them to find the highest Learners Worldwide (Billion... | {"step_1": [[2370, 2136, 2729, 2206], [130, 2227, 247, 2290], [886, 2228, 1019, 2290], [2370, 2262, 2640, 2332]], "step_2": [[981, 313, 1115, 374], [1832, 313, 1983, 374], [886, 695, 1019, 759], [1643, 696, 1791, 758], [792, 1078, 922, 1142], [1454, 1079, 1597, 1141], [319, 1461, 440, 1524], [1265, 1462, 1404, 1524], [... | 1.30 | level2 | tier2 | 4_line | 20 - Language & Linguistics |
2_histogram__img_26__category26__horizontal__labeled__angle45__xtop__yright_qa485 | ccqa_21 | 2_histogram__img_26__category26__horizontal__labeled__angle45__xtop__yright.png | What is the sum of Number of Donors for bins that have their Number of Donors below the average Number of Donors of all bins? | {"step_1": "First, I need to read the Number of Donors of each bin in this histogram.", "step_2": "Second, I need to calculate the average Number of Donors among all bins.", "step_3": "Third, I need to find all the bins whose Number of Donors is lower than 46.8.", "step_4": "Fourth, I need to calculate the total Number... | {"step_1": [[58, 248, 2742, 2304]], "step_2": [[58, 248, 2742, 2304]], "step_3": [[58, 248, 803, 2224]], "step_4": [[58, 248, 803, 2224]]} | 67 | level2 | tier3 | 2_histogram | 26 - Philanthropy & Charity |
2_histogram__img_2__category2__horizontal__labeled__angle45__xtop__yright_qa155 | ccqa_22 | 2_histogram__img_2__category2__horizontal__labeled__angle45__xtop__yright.png | Among all the bins shown in this histogram, what is the lowest Number of Countries? | {"step_1": "First, I need to read the Number of Countries of all the bins in this histogram.", "step_2": "Second, I need to compare them to find the lowest Number of Countries."} | {"step_1": [[58, 248, 2748, 2323]], "step_2": [[58, 2024, 289, 2323]]} | 4 | level1 | tier1 | 2_histogram | 2 - Geography & Demography |
4_line__img_10__category10__horizontal__w_markers__labeled__w_legend__xtop__yright_qa786 | ccqa_23 | 4_line__img_10__category10__horizontal__w_markers__labeled__w_legend__xtop__yright.png | What is the cumulative Annual Launches for JAXA? | {"step_1": "First, I need to find the line representing JAXA.", "step_2": "Second, I need to read all its 'Annual Launches' values and sum them up."} | {"step_1": [[767, 313, 908, 374], [53, 460, 313, 530], [585, 695, 702, 759], [403, 1079, 516, 1142], [312, 1461, 423, 1524], [221, 1844, 331, 1908], [130, 2227, 237, 2290]], "step_2": [[767, 313, 908, 374], [53, 460, 313, 530], [585, 695, 702, 759], [403, 1079, 516, 1142], [312, 1461, 423, 1524], [221, 1844, 331, 1908]... | 36 | level1 | tier1 | 4_line | 10 - Space & Astronomy |
multi_relation__img97__17__Travel_&_Expedition__1_bar_3_scatter__3_scatter__1_bar__5_heatmap__7_radar_qa9031 | ccqa_24 | multi_relation__img97__17__Travel_&_Expedition__1_bar_3_scatter__3_scatter__1_bar__5_heatmap__7_radar.png | For countries meeting both threshold conditions, which chart shows a higher total: Annual Tourists (Millions) or Average Tourist Spend ($) and Average Stay Duration (Days)? | {"step_1": "First, I need to identify countries meeting both conditions across both charts.", "step_2": "Second, I need to calculate their total Annual Tourists (Millions).", "step_3": "Third, I need to calculate their total Average Tourist Spend ($) and Average Stay Duration (Days).", "step_4": "Fourth, I need to comp... | {"step_1": [[3048, 144, 3237, 1409], [3283, 181, 3471, 2064], [3518, 245, 3705, 2064], [3752, 258, 3940, 2064], [2952, 1413, 3218, 1669], [3235, 1413, 3236, 1861], [3235, 1896, 3236, 1940], [3235, 1967, 3236, 2041], [3048, 2044, 3237, 2064], [2996, 2067, 3172, 2246], [3244, 2067, 3406, 2230], [3498, 2067, 3641, 2209], ... | Annual Tourists (Millions) | level3 | tier5 | multi_relation | 17 - Travel & Expedition |
3_scatter__img_23__category23__vertical__labeled__w_legend__xbottom__yleft_qa799__mmqa_1795_mask4 | ccqa_25 | multi__img1795__1_bar__2_histogram__7_radar__3_scatter.png | According to the scatter chart, what is the Annual Accidents (Thousands) of the state with the highest Annual Accidents (Thousands) among states that have their State Highway Length (km) above the lowest while below the highest? | {"step_1": "First, I need to find the scatter chart subplot.", "step_2": "Second, I need to identify the states that have their State Highway Length (km) above the lowest while below the highest.", "step_3": "Third, I need to compare their Annual Accidents (Thousands) to find the one with the highest Annual Accidents (... | {"step_1": [[2726, 2368, 5452, 4736]], "step_2": [[10512, 5050, 10966, 5332], [6510, 5076, 6702, 5354], [6720, 5082, 7188, 5348], [6510, 5454, 6702, 5732], [6720, 5460, 7076, 5726], [6510, 5830, 6702, 6360], [6720, 5836, 7394, 6354], [8314, 5922, 8792, 6196], [9052, 6080, 9578, 6354], [9544, 6240, 10040, 6510], [7094, ... | 620 | level3 | tier4 | 3_scatter | 23 - Transportation & Infrastructure |
6_pie__img_376__category16__w_percent__wo_value__w_legend__seg0__angle0_qa463 | ccqa_26 | 6_pie__img_376__category16__w_percent__wo_value__w_legend__seg0__angle0.png | What is the absolute difference between the total percentage of energy types above the mean percentage and those below it? Please round to two decimal places. | {"step_1": "First, I need to read the percentage of each energy type in this chart.", "step_2": "Second, I need to compute the average percentage.", "step_3": "Third, I need to find the first group of energy types whose percentage is higher than 20.00% and the second group of energy types whose percentage is lower than... | {"step_1": [[222, 254, 2587, 2308], [2526, 1136, 2955, 1458]], "step_2": [[222, 254, 2587, 2308], [2526, 1136, 2955, 1458]], "step_3": [[222, 254, 2587, 2308], [2526, 1136, 2955, 1458]], "step_4": [[222, 254, 2587, 2308], [2526, 1136, 2955, 1458]], "step_5": [[222, 254, 2587, 2308], [2526, 1136, 2955, 1458]]} | 14.29% | level2 | tier3 | 6_pie | 16 - Energy & Environment |
3_scatter__img_1__category1__vertical__labeled__w_legend__xbottom__yleft_qa655 | ccqa_27 | 3_scatter__img_1__category1__vertical__labeled__w_legend__xbottom__yleft.png | For movies among the labels 'Inception, The Matrix, Spirited Away, Pulp Fiction, The Dark Knight', what is their mean Rating Score? Please round to two decimal places. | {"step_1": "First, I need to identify the movies among the labels 'Inception, The Matrix, Spirited Away, Pulp Fiction, The Dark Knight'.", "step_2": "Second, I need to calculate their average Rating Score."} | {"step_1": [[230, 138, 324, 215], [335, 141, 562, 211], [229, 264, 325, 403], [334, 267, 656, 400], [1569, 278, 2017, 419], [229, 453, 325, 591], [334, 456, 706, 588], [897, 776, 1283, 906], [1460, 1100, 1807, 1239], [832, 1325, 1153, 1452], [275, 1864, 551, 1977]], "step_2": [[230, 138, 324, 215], [335, 141, 562, 211]... | 4.60 | level2 | tier2 | 3_scatter | 1 - Media & Entertainment |
multi_relation__img99__17__Travel_&_Expedition__1_bar_6_pie__1_bar__7_radar__3_scatter__6_pie_qa9264 | ccqa_28 | multi_relation__img99__17__Travel_&_Expedition__1_bar_6_pie__1_bar__7_radar__3_scatter__6_pie.png | Among countries meeting dual conditions, identify the one with the lowest Annual Tourists (Millions). | {"step_1": "First, I need to identify countries meeting both threshold conditions across both charts.", "step_2": "Second, I need to examine their Annual Tourists (Millions) values in the upper left subplot.", "step_3": "Third, I need to identify which has the lowest Annual Tourists (Millions)."} | {"step_1": [[323, 146, 528, 1426], [579, 184, 783, 2089], [835, 248, 1039, 2089], [1090, 261, 1295, 2089], [218, 1431, 508, 1689], [323, 2071, 528, 2089], [266, 2093, 457, 2273], [537, 2093, 713, 2257], [814, 2093, 969, 2236], [1047, 2093, 1225, 2259]], "step_2": [[3146, 2623, 4322, 4658], [5613, 3379, 5902, 3638], [38... | USA | level3 | tier5 | multi_relation | 17 - Travel & Expedition |
2_histogram__img_12__category12__horizontal__labeled__angle90__xtop__yright_qa7 | ccqa_29 | 2_histogram__img_12__category12__horizontal__labeled__angle90__xtop__yright.png | Can you help calculate the mean Number of Countries across all bins in this histogram? Please round to two decimal places. | {"step_1": "First, I need to read the Number of Countries of each bin in this histogram.", "step_2": "Second, I need to calculate the mean Number of Countries across all bins."} | {"step_1": [[58, 248, 2772, 2345]], "step_2": [[58, 248, 2772, 2345]]} | 35.60 | level1 | tier1 | 2_histogram | 12 - Market & Economy |
6_pie__img_646__category26__w_percent__wo_value__w_legend__seg4__angle0_qa445 | ccqa_30 | 6_pie__img_646__category26__w_percent__wo_value__w_legend__seg4__angle0.png | What is the highest percentage among causes that have their percentages above the average percentage? Please round to two decimal places. | {"step_1": "First, I need to read the percentage of each cause in this chart.", "step_2": "Second, I need to compute the average percentage.", "step_3": "Third, I need to find all the causes whose percentage is higher than 20.00%.", "step_4": "Fourth, I need to identify the cause with the highest percentage among these... | {"step_1": [[1451, 172, 1868, 245], [37, 278, 2387, 2241], [2239, 1130, 2955, 1502], [1225, 2295, 1562, 2368]], "step_2": [[1451, 172, 1868, 245], [37, 278, 2387, 2241], [2239, 1130, 2955, 1502], [1225, 2295, 1562, 2368]], "step_3": [[37, 370, 1948, 2241], [2489, 1130, 2867, 1263], [1225, 2295, 1562, 2368]], "step_4": ... | 36.76% | level2 | tier3 | 6_pie | 26 - Philanthropy & Charity |
1_bar__img_2__category2__angle45__horizontal__labeled__w_legend__xtop__yright_qa855__mmqa_39120_mask3 | ccqa_31 | multi__img39120__6_pie__2_histogram__1_bar__4_line.png | According to the bar chart, among bars among 'China, United States, Indonesia, Bangladesh, Russia', what is lowest Population (Millions)? | {"step_1": "First, I need to find the bar chart subplot.", "step_2": "Second, I need to find all the bars among 'China, United States, Indonesia, Bangladesh, Russia'.", "step_3": "Third, I need to compare their Population (Millions) to find the one with the lowest Population (Millions)."} | {"step_1": [[0, 2400, 3000, 4800]], "step_2": [[4238, 5354, 4778, 5494], [4238, 5606, 5104, 5874], [4238, 5982, 5030, 6250], [120, 6668, 886, 6980], [5168, 6764, 5506, 6904], [120, 7058, 1132, 7370], [5168, 7152, 5728, 7292], [120, 7838, 1104, 8150], [5168, 7932, 5640, 8072], [120, 8228, 1502, 8540], [5168, 8322, 5802,... | 147.60 | level3 | tier4 | 1_bar | 2 - Geography & Demography |
7_radar__img_11__category11__labeled__w_legend_qa364 | ccqa_32 | 7_radar__img_11__category11__labeled__w_legend.png | What is the value for Clothing on the Seasonal Demand axis? | {"step_1": "First, I need to locate Clothing in the radar chart.", "step_2": "Second, I need to find the 'Seasonal Demand' axis and read the value for Clothing."} | {"step_1": [[4397, 521, 4945, 687], [4054, 554, 4384, 639], [274, 1870, 1631, 2294]], "step_2": [[4397, 521, 4945, 687], [4054, 554, 4384, 639], [274, 1870, 1631, 2294]]} | 8.00 | level1 | tier1 | 7_radar | 11 - Sale & Merchandise |
1_bar__img_11__category11__angle60__vertical__labeled__w_legend__xbottom__yleft_qa189 | ccqa_33 | 1_bar__img_11__category11__angle60__vertical__labeled__w_legend__xbottom__yleft.png | What is the average Annual Sales ($ Billion) for bars that have their 'Product Categories' labels among 'Electronics, Sporting Goods, Books, Jewelry, Furniture'? Please round to two decimal places. | {"step_1": "First, I need to identify the bars that have their 'Product Categories' labels among 'Electronics, Sporting Goods, Books, Jewelry, Furniture'.", "step_2": "Second, I need to calculate their mean Annual Sales ($ Billion)."} | {"step_1": [[349, 146, 551, 1938], [1344, 148, 1721, 218], [1344, 273, 1816, 407], [1344, 462, 1682, 596], [855, 790, 1058, 1938], [1109, 903, 1311, 1938], [1615, 1084, 1818, 1938], [1868, 1172, 2071, 1938], [268, 1941, 482, 2211], [728, 1941, 989, 2293], [1079, 1941, 1242, 2124], [1573, 1941, 1748, 2145], [1808, 1941,... | 237.30 | level2 | tier2 | 1_bar | 11 - Sale & Merchandise |
3_scatter__img_27__category27__vertical__labeled__w_legend__xbottom__yleft_qa3112 | ccqa_34 | 3_scatter__img_27__category27__vertical__labeled__w_legend__xbottom__yleft.png | What is the Price ($) value for Dior Perfume? | {"step_1": "First, I need to find the scatter point representing the luxury item 'Dior Perfume'.", "step_2": "Second, I need to read its Price ($)."} | {"step_1": [[2176, 704, 2270, 780], [2281, 707, 2588, 777], [2370, 1952, 2730, 2068]], "step_2": [[2176, 704, 2270, 780], [2281, 707, 2588, 777], [2370, 1952, 2730, 2068]]} | 550 | level1 | tier1 | 3_scatter | 27 - Fashion & Apparel |
5_heatmap__img_33__category17__dataxy__angle30__labeled__w_colorbar__xbottom__yleft_qa174__mmqa_5154_mask3 | ccqa_35 | multi__img5154__4_line__7_radar__5_heatmap__6_pie.png | According to the heatmap chart, how many average traveler ratings are in cells in columns 'Adventure', 'Nature'? | {"step_1": "First, I need to find the heatmap chart subplot.", "step_2": "Second, I need to identify the cells in columns 'Adventure', 'Nature'.", "step_3": "Third, I need to count these cells."} | {"step_1": [[0, 2368, 2723, 4736]], "step_2": [[430, 2507, 866, 4525], [1302, 2507, 1738, 4525]], "step_3": [[430, 2507, 866, 4525], [1302, 2507, 1738, 4525]]} | 10 | level3 | tier4 | 5_heatmap | 17 - Travel & Expedition |
5_heatmap__img_22__category11__datayx__angle45__labeled__w_colorbar__xtop__yright_qa729 | ccqa_36 | 5_heatmap__img_22__category11__datayx__angle45__labeled__w_colorbar__xtop__yright.png | Which cell(s) contain the 3rd highest sales volume (units)? Please provide coordinates as '(Product Category, City)'. | {"step_1": "First, I need to read all the sales volumes (units) in this heatmap.", "step_2": "Second, I need to compare all values to identify the 3rd highest sales volume (units)."} | {"step_1": [[30, 399, 2358, 2343]], "step_2": [[961, 1565, 1427, 1954], [1892, 1954, 2358, 2343]]} | (Toys, Chicago), (Groceries, Miami) | level2 | tier2 | 5_heatmap | 11 - Sale & Merchandise |
7_radar__img_8__category8__labeled__w_legend_qa258 | ccqa_37 | 7_radar__img_8__category8__labeled__w_legend.png | Arrange the data points that have values above 7.2 but below 9.1 in ascending order based on their values. | {"step_1": "First, I need to identify the data points that have values above 7.2 but below 9.1.", "step_2": "Second, I need to sort these data points in ascending order by their values."} | {"step_1": [[2221, 315, 3622, 562], [4571, 349, 5099, 515], [4228, 381, 4558, 467], [4571, 521, 5077, 687], [4228, 554, 4558, 639], [4571, 693, 4847, 859], [4228, 726, 4558, 811], [2756, 845, 3087, 1059], [2756, 1083, 3087, 1297], [452, 1870, 1111, 2117], [3884, 1870, 5548, 2430], [1318, 2114, 1959, 2430], [3885, 2427,... | ATP (Reaction Rate), ATP (Stability), Glucose (Toxicity), Ethanol (Biological Relevance), Glucose (Biological Relevance), ATP (Toxicity), Glucose (Molecular Complexity), Ethanol (Reaction Rate), Ethanol (Stability), ATP (Molecular Complexity), Glucose (Reaction Rate), Ethanol (Toxicity), ATP (Biological Relevance) | level2 | tier2 | 7_radar | 8 - Biology & Chemistry |
6_pie__img_464__category19__w_percent__w_value__w_legend__seg2__angle60_qa15 | ccqa_38 | 6_pie__img_464__category19__w_percent__w_value__w_legend__seg2__angle60.png | Given that Chat Messages has 34 interaction, what is the average interaction per communication tool? Please round to two decimal places. | {"step_1": "First, I need to find the percentage of Chat Messages in the pie chart.", "step_2": "Second, I need to calculate the total interaction.", "step_3": "Third, I need to calculate the mean interaction of all 5 interactions."} | {"step_1": [[2490, 1265, 2955, 1335], [1294, 1315, 2532, 2258]], "step_2": [[2490, 1265, 2955, 1335], [1294, 1315, 2532, 2258]], "step_3": [[129, 216, 2560, 2259], [2490, 1139, 2955, 1461]]} | 35.00 | level1 | tier1 | 6_pie | 19 - Communication & Collaboration |
4_line__img_14__category14__horizontal__w_markers__labeled__w_legend__xtop__yright_qa21 | ccqa_39 | 4_line__img_14__category14__horizontal__w_markers__labeled__w_legend__xtop__yright.png | How many data points are included in this line chart? | {"step_1": "First, I need to count the number of data points in this chart."} | {"step_1": [[458, 313, 604, 374], [1277, 313, 1439, 374], [1714, 313, 1886, 374], [2588, 313, 2664, 374], [2681, 318, 2777, 369], [1059, 695, 1217, 759], [622, 696, 771, 758], [1496, 696, 1663, 758], [2151, 696, 2227, 758], [2235, 703, 2331, 751], [840, 1078, 994, 1141], [1168, 1079, 1328, 1141], [1441, 1079, 1607, 114... | 24 | level1 | tier1 | 4_line | 14 - Computing & Technology |
2_histogram__img_29__category29__vertical__labeled__angle30__xbottom__yleft_qa9 | ccqa_40 | 2_histogram__img_29__category29__vertical__labeled__angle30__xbottom__yleft.png | What is the median Number of Buildings across all bins in this histogram? | {"step_1": "First, I need to read the Number of Buildings of all bins in this histogram.", "step_2": "Second, I need to calculate the median Number of Buildings across all bins."} | {"step_1": [[198, 148, 2955, 2192]], "step_2": [[1849, 836, 2407, 2192]]} | 38 | level1 | tier1 | 2_histogram | 29 - Architecture & Urban Planning |
3_scatter__img_25__category25__vertical__labeled__w_legend__xbottom__yleft_qa3318 | ccqa_41 | 3_scatter__img_25__category25__vertical__labeled__w_legend__xbottom__yleft.png | Among materials whose Tensile Strength (MPa) are above the average Tensile Strength (MPa) of all materials, what is the label of the material that has the lowest Tensile Strength (MPa)? | {"step_1": "First, I need to read the Tensile Strength (MPa) of each material in this chart.", "step_2": "Second, I need to compute the average Tensile Strength (MPa) of all materials.", "step_3": "Third, I need to find all the materials whose Tensile Strength (MPa) is higher than 572.0.", "step_4": "Fourth, I need to ... | {"step_1": [[457, 125, 680, 258], [2327, 138, 2423, 780], [2432, 141, 2733, 777], [272, 477, 523, 608], [1343, 830, 1651, 957], [1136, 1042, 1375, 1166], [1556, 1183, 1779, 1306], [2604, 1324, 2962, 1445], [1874, 1535, 2146, 1654], [2191, 1747, 2427, 1863], [624, 1888, 822, 2002], [834, 2029, 1022, 2142]], "step_2": [[... | Aluminum | level2 | tier3 | 3_scatter | 25 - Materials & Engineering |
multi_relation__img168__28__Parenting_&_Child_Development__4_line_6_pie__2_histogram__7_radar__4_line__6_pie_qa16453 | ccqa_42 | multi_relation__img168__28__Parenting_&_Child_Development__4_line_6_pie__2_histogram__7_radar__4_line__6_pie.png | Among developmental aspects that have their Developmental Progress Score above the mean and their average weekly learning activities (hours) above the median, what is the total average weekly learning activities (hours)? | {"step_1": "First, I need to calculate the mean Developmental Progress Score from the lower left subplot.", "step_2": "Second, I need to calculate the median average weekly learning activities (hours) from the lower right subplot.", "step_3": "Third, I need to identify developmental aspects that exceed both thresholds.... | {"step_1": [], "step_2": [], "step_3": [], "step_4": []} | 131 | level3 | tier5 | multi_relation | 28 - Parenting & Child Development |
7_radar__img_21__category21__labeled__w_legend_qa306 | ccqa_43 | 7_radar__img_21__category21__labeled__w_legend.png | Arrange the data points for the heritage attributes Preservation, Cultural Significance, Dating Accuracy in ascending order based on their values. | {"step_1": "First, I need to identify the data points for the heritage attributes Preservation, Cultural Significance, Dating Accuracy.", "step_2": "Second, I need to sort these data points in ascending order by their values."} | {"step_1": [[2479, 315, 3384, 562], [4064, 349, 5109, 515], [3720, 381, 4051, 467], [4064, 521, 4925, 687], [3720, 554, 4051, 639], [4064, 693, 4830, 859], [3720, 726, 4051, 811], [2766, 820, 3097, 1034], [2766, 1057, 3097, 1271], [2765, 1405, 3098, 1620], [3884, 1870, 5749, 2433], [3515, 3613, 4118, 4201], [3703, 4386... | Machu Picchu (Preservation), Stonehenge (Cultural Significance), Pyramids of Giza (Cultural Significance), Machu Picchu (Dating Accuracy), Pyramids of Giza (Dating Accuracy), Stonehenge (Preservation), Stonehenge (Dating Accuracy), Machu Picchu (Cultural Significance), Pyramids of Giza (Preservation) | level2 | tier2 | 7_radar | 21 - History & Archaeology |
3_scatter__img_20__category20__horizontal__labeled__w_legend__xtop__yright_qa2000__mmqa_6683_mask3 | ccqa_44 | multi__img6683__6_pie__1_bar__3_scatter__5_heatmap.png | According to the scatter chart, what is the label of the language with the largest Language Difficulty (1-10) among languages that have their labels among 'English, Spanish, Russian, Hindi, Japanese'? | {"step_1": "First, I need to find the scatter chart subplot.", "step_2": "Second, I need to find all the languages that have their labels among 'English, Spanish, Russian, Hindi, Japanese'.", "step_3": "Third, I need to compare their Language Difficulty (1-10) to find the one with the highest Language Difficulty (1-10)... | {"step_1": [[0, 2400, 3000, 4800]], "step_2": [[90, 5310, 458, 5566], [4746, 5336, 4934, 5488], [4956, 5342, 5324, 5482], [4744, 5588, 4936, 5866], [4954, 5594, 5352, 5860], [4744, 5966, 4936, 6242], [4954, 5972, 5402, 6236], [1904, 7376, 2306, 7676], [3756, 8278, 4180, 8608], [5080, 8650, 5428, 9004], [3390, 8878, 386... | Hindi | level3 | tier4 | 3_scatter | 20 - Language & Linguistics |
6_pie__img_380__category16__w_percent__wo_value__w_legend__seg0__angle90_qa318__mmqa_3303_mask1 | ccqa_45 | multi__img3303__6_pie__1_bar__3_scatter__4_line.png | According to the pie chart, if sorting all the energy types with their percentages higher than 10.71% but lower than 30.00% according to their percentages from high to low, can you help provide their label sequence in order separated with commas? | {"step_1": "First, I need to find the pie chart subplot.", "step_2": "Second, I need to identify all the energy types with their percentages higher than 10.71% but lower than 30.00%.", "step_3": "Third, I need to read their percentages.", "step_4": "Fourth, I need to sort them in descending order according to their per... | {"step_1": [[0, 0, 3000, 2400]], "step_2": [[794, 1080, 5174, 4616], [5052, 2398, 5910, 2790]], "step_3": [[794, 1080, 5174, 4616], [5052, 2398, 5910, 2790]], "step_4": [[794, 1080, 5174, 4616], [5052, 2398, 5910, 2790]]} | Wind, Hydroelectric, Geothermal | level3 | tier4 | 6_pie | 16 - Energy & Environment |
3_scatter__img_15__category15__vertical__labeled__w_legend__xbottom__yleft_qa690 | ccqa_46 | 3_scatter__img_15__category15__vertical__labeled__w_legend__xbottom__yleft.png | What is the smallest BMI among all patients in this chart? | {"step_1": "First, I need to read the BMI of all the patients in this chart.", "step_2": "Second, I need to compare them to find the lowest BMI."} | {"step_1": [[1600, 125, 1888, 258], [255, 138, 351, 780], [360, 141, 586, 777], [2472, 601, 2741, 730], [1064, 779, 1349, 907], [2045, 1255, 2328, 1378], [1395, 1345, 1677, 1466], [745, 1404, 1023, 1525], [2702, 1761, 2958, 1878], [2269, 1821, 2544, 1936], [1836, 1880, 2103, 1995], [319, 2029, 589, 2142]], "step_2": [[... | 18 | level1 | tier1 | 3_scatter | 15 - Health & Medicine |
4_line__img_28__category28__horizontal__w_markers__labeled__w_legend__xtop__yright_qa325 | ccqa_47 | 4_line__img_28__category28__horizontal__w_markers__labeled__w_legend__xtop__yright.png | Among product categories whose total Market Value ($ Billion) are above the lowest while below the highest, which product category and at what Year does the largest Market Value ($ Billion) occur? | {"step_1": "First, I need to identify the product categories whose total Market Value ($ Billion) are above the lowest while below the highest.", "step_2": "Second, I need to read all their 'Market Value ($ Billion)' values.", "step_3": "Third, I need to compare them to find the data point with the highest Market Value... | {"step_1": [[53, 334, 436, 404], [53, 460, 390, 530], [130, 2227, 269, 2290], [1223, 2228, 1384, 2290]], "step_2": [[676, 313, 827, 374], [1878, 313, 1954, 375], [1957, 319, 2053, 368], [53, 334, 436, 404], [53, 460, 390, 530], [1714, 695, 1886, 759], [458, 696, 604, 758], [1549, 1078, 1718, 1141], [1113, 1079, 1272, 1... | Clothing at 2024 | level2 | tier2 | 4_line | 28 - Parenting & Child Development |
multi_relation__img33__6__Animal_&_Zoology__1_bar_6_pie__1_bar__5_heatmap__6_pie__2_histogram_qa3537 | ccqa_48 | multi_relation__img33__6__Animal_&_Zoology__1_bar_6_pie__1_bar__5_heatmap__6_pie__2_histogram.png | Among animals that have their Average Weight (kg) above the median and their population percentages above the median, what is the total population percentages? | {"step_1": "First, I need to calculate the median Average Weight (kg) from the upper left subplot.", "step_2": "Second, I need to calculate the median population percentages from the lower left subplot.", "step_3": "Third, I need to identify animals that exceed both thresholds.", "step_4": "Fourth, I need to calculate ... | {"step_1": [[2408, 140, 2675, 396], [327, 2010, 535, 2204], [547, 2010, 769, 2218], [762, 2013, 955, 2238], [1029, 2013, 1189, 2203]], "step_2": [[301, 2622, 1227, 4602], [2428, 3338, 2695, 3594], [63, 3581, 241, 3663], [788, 4604, 942, 4686]], "step_3": [[2408, 140, 2675, 396], [327, 2010, 535, 2204], [547, 2010, 769,... | 31 | level3 | tier5 | multi_relation | 6 - Animal & Zoology |
2_histogram__img_4__category4__horizontal__labeled__angle90__xtop__yright_qa236__mmqa_456_mask2 | ccqa_49 | multi__img456__5_heatmap__2_histogram__4_line__3_scatter.png | According to the histogram chart, what is the minimum Number of Companies for bins whose frequencies are above the lowest while below the highest? | {"step_1": "First, I need to find the histogram chart subplot.", "step_2": "Second, I need to identify the bins whose frequencies are above the lowest while below the highest.", "step_3": "Third, I need to find the lowest Number of Companies among these bins."} | {"step_1": [[2876, 0, 5752, 2369]], "step_2": [[6116, 2586, 7750, 4172], [6116, 4422, 9678, 4638]], "step_3": [[6116, 2586, 6244, 3648]]} | 1 | level3 | tier4 | 2_histogram | 4 - Business & Industry |
multi_relation__img48__8__Biology_&_Chemistry__4_line_6_pie__5_heatmap__2_histogram__4_line__6_pie_qa4942 | ccqa_50 | multi_relation__img48__8__Biology_&_Chemistry__4_line_6_pie__5_heatmap__2_histogram__4_line__6_pie.png | Count the research fields that exceed both the median Research Funding ($ Billion) and the median metric values. | {"step_1": "First, I need to identify research fields with Research Funding ($ Billion) above the median in the lower left subplot.", "step_2": "Second, I need to identify research fields with metric values above the median in the lower right subplot.", "step_3": "Third, I need to count research fields that satisfy bot... | {"step_1": [], "step_2": [[2825, 2604, 3987, 4523], [5163, 3324, 5501, 3579], [2784, 3819, 3043, 3901]], "step_3": [[166, 2508, 711, 2763], [2825, 2604, 3987, 4523], [1023, 2773, 1094, 2880], [762, 2880, 833, 2985], [501, 2986, 573, 3089], [241, 3092, 312, 3193], [1023, 3163, 1094, 3263], [762, 3305, 833, 3402], [5163,... | 2 | level3 | tier5 | multi_relation | 8 - Biology & Chemistry |
5_heatmap__img_59__category30__dataxy__angle60__labeled__w_colorbar__xbottom__yleft_qa770 | ccqa_51 | 5_heatmap__img_59__category30__dataxy__angle60__labeled__w_colorbar__xbottom__yleft.png | What is the absolute difference between the total sum of average user ratings for cells above the overall average and those below it? | {"step_1": "First, I need to read all the average user ratings in this heatmap.", "step_2": "Second, I need to calculate the overall mean average user rating.", "step_3": "Third, I need to identify and calculate sums for both groups.", "step_4": "Fourth, I need to calculate the absolute difference."} | {"step_1": [[468, 106, 2444, 2036]], "step_2": [[468, 106, 2444, 2036]], "step_3": [[468, 106, 2444, 2036]], "step_4": [[468, 106, 2444, 2036]]} | 19.10 | level2 | tier3 | 5_heatmap | 30 - Gaming & Recreation |
1_bar__img_13__category13__angle30__vertical__labeled__w_legend__xbottom__yleft_qa841 | ccqa_52 | 1_bar__img_13__category13__angle30__vertical__labeled__w_legend__xbottom__yleft.png | What is lowest Gold Medals among bars that have their 'Country' labels among 'USA, Japan, UK, Australia, Netherlands'? | {"step_1": "First, I need to find all the bars that have their 'Country' labels among 'USA, Japan, UK, Australia, Netherlands'.", "step_2": "Second, I need to compare their Gold Medals to find the one with the lowest Gold Medals."} | {"step_1": [[2530, 148, 2767, 218], [323, 152, 528, 2091], [2530, 273, 2797, 407], [2530, 462, 2935, 596], [1602, 977, 1807, 2091], [835, 1123, 1039, 2091], [1091, 1220, 1295, 2091], [1858, 1462, 2062, 2091], [298, 2094, 458, 2227], [783, 2094, 969, 2242], [1090, 2094, 1225, 2212], [1491, 2094, 1992, 2310]], "step_2": ... | 12 | level2 | tier2 | 1_bar | 13 - Sports & Athletics |
3_scatter__img_1__category1__vertical__labeled__w_legend__xbottom__yleft_qa3294 | ccqa_53 | 3_scatter__img_1__category1__vertical__labeled__w_legend__xbottom__yleft.png | Among movies whose Annual Box Office Earnings ($ Million) are below the average Annual Box Office Earnings ($ Million) of all movies, what is the lowest Annual Box Office Earnings ($ Million)? | {"step_1": "First, I need to read the Annual Box Office Earnings ($ Million) of each movie in this chart.", "step_2": "Second, I need to compute the average Annual Box Office Earnings ($ Million) of all movies.", "step_3": "Third, I need to find all the movies whose Annual Box Office Earnings ($ Million) is lower than ... | {"step_1": [[1851, 125, 2105, 270], [229, 138, 325, 780], [334, 141, 961, 777], [1569, 278, 2017, 419], [897, 776, 1283, 906], [1981, 1029, 2325, 1176], [1460, 1100, 1807, 1239], [554, 1325, 1197, 1519], [2263, 1619, 2976, 1770], [275, 1864, 551, 1977], [1157, 2029, 1428, 2163]], "step_2": [[1851, 125, 2105, 270], [229... | 19.32 | level2 | tier3 | 3_scatter | 1 - Media & Entertainment |
5_heatmap__img_24__category12__datayx__angle90__labeled__w_colorbar__xtop__yright_qa774 | ccqa_54 | 5_heatmap__img_24__category12__datayx__angle90__labeled__w_colorbar__xtop__yright.png | Among cells with GDP growth rates (%) below the mean, what is the maximum GDP growth rate (%)? | {"step_1": "First, I need to read all the GDP growth rates (%) in this heatmap.", "step_2": "Second, I need to calculate the overall mean GDP growth rate (%).", "step_3": "Third, I need to identify cells with GDP growth rates (%) below 3.424.", "step_4": "Fourth, I need to find the maximum GDP growth rate (%) among the... | {"step_1": [[30, 384, 2358, 2342]], "step_2": [[30, 384, 2358, 2342]], "step_3": [[30, 384, 2358, 2342], [1427, 1559, 1892, 2342]], "step_4": [[1427, 1950, 1892, 2342]]} | 3.40 | level2 | tier3 | 5_heatmap | 12 - Market & Economy |
5_heatmap__img_8__category4__datayx__angle90__labeled__w_colorbar__xtop__yright_qa210 | ccqa_55 | 5_heatmap__img_8__category4__datayx__angle90__labeled__w_colorbar__xtop__yright.png | Among all revenues (in billion USD) for Apple, what is the largest value? | {"step_1": "First, I need to read the revenues (in billion USD) for Apple.", "step_2": "Second, I need to find the maximum revenue (in billion USD)."} | {"step_1": [[30, 300, 2358, 702]], "step_2": [[961, 300, 1427, 702]]} | 180.00 | level1 | tier1 | 5_heatmap | 4 - Business & Industry |
4_line__img_13__category13__vertical__w_markers__labeled__w_legend__xbottom__yleft_qa497__mmqa_943_mask2 | ccqa_56 | multi__img943__6_pie__4_line__5_heatmap__2_histogram.png | According to the line chart, comparing between Premier League and La Liga, what is their absolute difference in total Revenue ($ Billion)? | {"step_1": "First, I need to find the line chart subplot.", "step_2": "Second, I need to read the 'Revenue ($ Billion)' values for both leagues:\n* Premier League.", "step_3": "Third, I need to calculate their total Revenue ($ Billion):\n* Premier League.", "step_4": "Fourth, I need to calculate their absolute differen... | {"step_1": [[3000, 0, 6000, 2400]], "step_2": [[11544, 216, 11780, 312], [6464, 284, 7444, 548], [11586, 360, 11738, 482], [10552, 574, 10786, 672], [10592, 712, 10744, 834], [9580, 934, 9772, 1030], [9600, 1064, 9752, 1186], [8586, 1292, 8780, 1390], [8606, 1416, 8758, 1538], [7594, 1592, 7786, 1688], [7614, 1708, 776... | 132 | level3 | tier4 | 4_line | 13 - Sports & Athletics |
3_scatter__img_18__category18__horizontal__labeled__w_legend__xtop__yright_qa3006 | ccqa_57 | 3_scatter__img_18__category18__horizontal__labeled__w_legend__xtop__yright.png | What is the label of the museum with Annual Visitors (Thousands) equal to 1800? | {"step_1": "First, I need to identify the museum whose Annual Visitors (Thousands) is 1800.", "step_2": "Second, I need to read its museum label."} | {"step_1": [[2268, 394, 2362, 470], [2373, 397, 2729, 467], [37, 1474, 394, 1602]], "step_2": [[2268, 394, 2362, 470], [2373, 397, 2729, 467], [37, 1474, 394, 1602]]} | British Museum | level1 | tier1 | 3_scatter | 18 - Arts & Culture |
multi_relation__img14__3__Education_&_Academia__1_bar_4_line__7_radar__6_pie__1_bar__4_line_qa1866 | ccqa_58 | multi_relation__img14__3__Education_&_Academia__1_bar_4_line__7_radar__6_pie__1_bar__4_line.png | Among universities with Graduation Rate (%) > median and Value (Multiple Scales) > mean, what is their average Value (Multiple Scales)? Please round to two decimal places. | {"step_1": "First, I need to find universities with Graduation Rate (%) above the median in the lower left subplot.", "step_2": "Second, I need to find universities with Value (Multiple Scales) above the mean in the lower right subplot.", "step_3": "Third, I need to identify universities that meet both conditions.", "s... | {"step_1": [[348, 2544, 551, 3784], [601, 2647, 804, 4444], [1108, 2672, 1311, 4444], [855, 2701, 1057, 4444], [348, 3786, 360, 3789], [244, 3786, 574, 4045], [348, 3848, 360, 3852], [470, 3857, 551, 3911], [348, 3911, 360, 3915], [348, 3974, 360, 3978], [348, 3983, 551, 4423], [471, 4059, 481, 4072], [459, 4121, 471, ... | 83230.95 | level3 | tier5 | multi_relation | 3 - Education & Academia |
5_heatmap__img_4__category2__datayx__angle90__labeled__w_colorbar__xtop__yright_qa58__mmqa_7248_mask4 | ccqa_59 | multi__img7248__6_pie__7_radar__1_bar__5_heatmap.png | According to the heatmap chart, please compute the median urbanization index for cells with urbanization indices below the overall average. Please round to two decimal places. | {"step_1": "First, I need to find the heatmap chart subplot.", "step_2": "Second, I need to identify the cells with urbanization indices below the overall average.", "step_3": "Third, I need to read their urbanization indices.", "step_4": "Fourth, I need to find the median value by sorting these values and identifying ... | {"step_1": [[2752, 2371, 5504, 4742]], "step_2": [[6066, 5406, 9141, 7036], [9141, 6221, 11190, 8666], [6066, 7036, 7092, 7851], [7092, 7851, 9141, 9480]], "step_3": [[6066, 5406, 9141, 7036], [9141, 6221, 11190, 8666], [6066, 7036, 7092, 7851], [7092, 7851, 9141, 9480]], "step_4": [[6066, 7036, 7092, 7851], [8115, 866... | 65.00 | level3 | tier4 | 5_heatmap | 2 - Geography & Demography |
5_heatmap__img_9__category5__dataxy__angle30__labeled__w_colorbar__xbottom__yleft_qa343 | ccqa_60 | 5_heatmap__img_9__category5__dataxy__angle30__labeled__w_colorbar__xbottom__yleft.png | Where is the minimum student satisfaction score located among cells in the center region? Please specify the position as '(Survey Year, Majors)'. | {"step_1": "First, I need to identify the cells in the center region.", "step_2": "Second, I need to read their student satisfaction scores.", "step_3": "Third, I need to find the position(s) with the minimum value 70.0."} | {"step_1": [[667, 477, 1965, 1588]], "step_2": [[667, 477, 1965, 1588]], "step_3": [[1099, 847, 1532, 1218]]} | (2019, Business) | level2 | tier2 | 5_heatmap | 5 - Major & Course |
4_line__img_27__category27__vertical__w_markers__labeled__w_legend__xbottom__yleft_qa696 | ccqa_61 | 4_line__img_27__category27__vertical__w_markers__labeled__w_legend__xbottom__yleft.png | What is the Revenue ($ Billion) value for H&M at 2021? | {"step_1": "First, I need to find the line representing H&M.", "step_2": "Second, I need to read its Revenue ($ Billion) value at 2021."} | {"step_1": [[206, 204, 468, 274], [1278, 1280, 1374, 1378]], "step_2": [[206, 204, 468, 274], [1278, 1280, 1374, 1378]]} | 30 | level1 | tier1 | 4_line | 27 - Fashion & Apparel |
3_scatter__img_23__category23__vertical__labeled__w_legend__xbottom__yleft_qa1272 | ccqa_62 | 3_scatter__img_23__category23__vertical__labeled__w_legend__xbottom__yleft.png | Among states with their State Highway Length (km) higher than the lowest but lower than the highest, what is largest Annual Accidents (Thousands)? | {"step_1": "First, I need to identify the states with their State Highway Length (km) higher than the lowest but lower than the highest.", "step_2": "Second, I need to compare their Annual Accidents (Thousands) to find the one with the highest Annual Accidents (Thousands)."} | {"step_1": [[2256, 125, 2483, 266], [255, 138, 351, 277], [360, 141, 594, 274], [255, 327, 351, 466], [360, 330, 538, 463], [255, 515, 351, 780], [360, 518, 697, 777], [1157, 561, 1396, 698], [1526, 640, 1789, 777], [1772, 720, 2020, 855], [547, 879, 815, 1012], [1288, 1196, 1689, 1325], [2149, 1394, 2519, 1521], [927,... | 620 | level2 | tier2 | 3_scatter | 23 - Transportation & Infrastructure |
2_histogram__img_19__category19__vertical__labeled__angle60__xbottom__yleft_qa195 | ccqa_63 | 2_histogram__img_19__category19__vertical__labeled__angle60__xbottom__yleft.png | What is the Number of Employees of the bin positioned as the rightmost bar among all bins in this histogram? | {"step_1": "First, I need to find the rightmost bar in this histogram.", "step_2": "Second, I need to read its Number of Employees."} | {"step_1": [[2495, 2185, 2955, 2188]], "step_2": [[2495, 2185, 2955, 2188]]} | 0 | level1 | tier1 | 2_histogram | 19 - Communication & Collaboration |
5_heatmap__img_54__category27__datayx__angle45__labeled__w_colorbar__xtop__yright_qa145__mmqa_10127_mask4 | ccqa_64 | multi__img10127__3_scatter__7_radar__6_pie__5_heatmap.png | According to the heatmap chart, what is the total of all sales figures (thousands) in cells in rows 'T-Shirts', 'Dresses'? | {"step_1": "First, I need to find the heatmap chart subplot.", "step_2": "Second, I need to identify the cells in rows 'T-Shirts', 'Dresses'.", "step_3": "Third, I need to read their sales figures (thousands).", "step_4": "Fourth, I need to calculate their sum."} | {"step_1": [[2752, 2371, 5504, 4742]], "step_2": [[6065, 5451, 11132, 6257], [6065, 7062, 11132, 7869]], "step_3": [[6065, 5451, 11132, 6257], [6065, 7062, 11132, 7869]], "step_4": [[6065, 5451, 11132, 6257], [6065, 7062, 11132, 7869]]} | 1600 | level3 | tier4 | 5_heatmap | 27 - Fashion & Apparel |
4_line__img_26__category26__horizontal__w_markers__labeled__w_legend__xtop__yright_qa211__mmqa_830_mask2 | ccqa_65 | multi__img830__6_pie__4_line__5_heatmap__2_histogram.png | According to the line chart, can you help calculate the sum of Annual Giving ($ Billion) for foundations whose labels are one of 'Gates Foundation, Ford Foundation, Wellcome Trust'? | {"step_1": "First, I need to find the line chart subplot.", "step_2": "Second, I need to identify the foundations whose labels are one of 'Gates Foundation, Ford Foundation, Wellcome Trust'.", "step_3": "Third, I need to read all their Annual Giving ($ Billion).", "step_4": "Fourth, I need to calculate their total Annu... | {"step_1": [[3000, 0, 6000, 2400]], "step_2": [[5198, 2073, 5729, 2143], [5198, 2199, 5699, 2332], [3130, 2227, 3247, 2290], [3376, 2228, 3498, 2290], [4359, 2228, 4501, 2290]], "step_3": [[3450, 313, 3573, 375], [3990, 313, 4124, 374], [5048, 313, 5124, 374], [5128, 319, 5224, 368], [3376, 695, 3498, 759], [3867, 696,... | 109.20 | level3 | tier4 | 4_line | 26 - Philanthropy & Charity |
7_radar__img_8__category8__labeled__w_legend_qa352 | ccqa_66 | 7_radar__img_8__category8__labeled__w_legend.png | What is the value for Ethanol on the Toxicity axis? | {"step_1": "First, I need to locate Ethanol in the radar chart.", "step_2": "Second, I need to find the 'Toxicity' axis and read the value for Ethanol."} | {"step_1": [[4571, 521, 5077, 687], [4228, 554, 4558, 639], [3784, 3997, 4115, 4211], [3938, 4386, 4551, 4633]], "step_2": [[4571, 521, 5077, 687], [4228, 554, 4558, 639], [3784, 3997, 4115, 4211], [3938, 4386, 4551, 4633]]} | 9.00 | level1 | tier1 | 7_radar | 8 - Biology & Chemistry |
3_scatter__img_20__category20__horizontal__labeled__w_legend__xtop__yright_qa222 | ccqa_67 | 3_scatter__img_20__category20__horizontal__labeled__w_legend__xtop__yright.png | Can you help calculate the sum of Language Difficulty (1-10) for languages with their Speakers (Millions) higher than 80 but lower than 1100? | {"step_1": "First, I need to identify the languages with their Speakers (Millions) higher than 80 but lower than 1100.", "step_2": "Second, I need to calculate their total Language Difficulty (1-10)."} | {"step_1": [[2372, 331, 2468, 847], [2477, 334, 2708, 844], [306, 593, 536, 730], [952, 1288, 1153, 1438], [665, 1513, 843, 1657], [1878, 1739, 2090, 1904], [2212, 1795, 2401, 1965], [2540, 1925, 2714, 2102], [1695, 2039, 1934, 2202], [1277, 2152, 1466, 2307]], "step_2": [[2372, 331, 2468, 847], [2477, 334, 2708, 844],... | 52.50 | level2 | tier2 | 3_scatter | 20 - Language & Linguistics |
multi_relation__img172__29__Architecture_&_Urban_Planning__3_scatter_4_line__4_line__2_histogram__3_scatter__5_heatmap_qa16858 | ccqa_68 | multi_relation__img172__29__Architecture_&_Urban_Planning__3_scatter_4_line__4_line__2_histogram__3_scatter__5_heatmap.png | Calculate the sum of New Projects (2020-2024) for cities that exceed both the mean Green Space per Capita (m²) and Population Density (per km²) and mean New Projects (2020-2024). | {"step_1": "First, I need to calculate the mean Green Space per Capita (m²) and Population Density (per km²) from the lower left subplot.", "step_2": "Second, I need to calculate the mean New Projects (2020-2024) from the upper left subplot.", "step_3": "Third, I need to identify cities that exceed both thresholds.", "... | {"step_1": [[1325, 2495, 1584, 2653], [2162, 2508, 2252, 2771], [2261, 2511, 2621, 2768], [1919, 3164, 2365, 3318], [859, 3541, 1247, 3692], [2200, 4043, 2584, 4191]], "step_2": [[219, 140, 772, 396], [1057, 692, 1169, 789], [796, 768, 908, 863], [535, 834, 646, 928], [273, 976, 386, 1068], [1057, 1024, 1169, 1114], [7... | 901 | level3 | tier5 | multi_relation | 29 - Architecture & Urban Planning |
3_scatter__img_8__category8__horizontal__labeled__w_legend__xtop__yright_qa3125 | ccqa_69 | 3_scatter__img_8__category8__horizontal__labeled__w_legend__xtop__yright.png | What is the label of the molecule that has the 3rd highest Molecular Weight (g/mol)? | {"step_1": "First, I need to read the Molecular Weight (g/mol) of each molecule.", "step_2": "Second, I need to compare them to identify the molecule with the 3rd highest Molecular Weight (g/mol)."} | {"step_1": [[2443, 255, 2712, 395], [111, 268, 207, 910], [216, 271, 486, 907], [2037, 783, 2245, 918], [1501, 1026, 1700, 1155], [979, 1268, 1156, 1390], [1020, 1510, 1234, 1633], [1080, 1686, 1272, 1810], [839, 1862, 961, 1981], [520, 2038, 611, 2152], [45, 2149, 377, 2284]], "step_2": [[112, 771, 206, 847], [217, 77... | Caffeine | level2 | tier2 | 3_scatter | 8 - Biology & Chemistry |
multi_relation__img43__8__Biology_&_Chemistry__1_bar_3_scatter__4_line__2_histogram__3_scatter__1_bar_qa4266 | ccqa_70 | multi_relation__img43__8__Biology_&_Chemistry__1_bar_3_scatter__4_line__2_histogram__3_scatter__1_bar.png | Between the sum of Genetic Diversity Index and sum of Molecular Weight (g/mol) and Reaction Time (Seconds) for qualifying taxonomic groups, which is larger? | {"step_1": "First, I need to identify taxonomic groups meeting both conditions across both charts.", "step_2": "Second, I need to calculate their total Genetic Diversity Index.", "step_3": "Third, I need to calculate their total Molecular Weight (g/mol) and Reaction Time (Seconds).", "step_4": "Fourth, I need to compar... | {"step_1": [[5545, 2542, 5909, 2800], [3323, 2545, 3528, 4456], [4090, 2879, 4295, 4456], [3579, 3127, 3783, 4456], [3835, 3233, 4039, 4456], [3240, 4460, 3457, 4665], [3498, 4460, 3713, 4663], [3749, 4460, 3969, 4668], [3980, 4460, 4225, 4693]], "step_2": [[204, 2538, 298, 2803], [309, 2541, 556, 2800], [864, 3643, 11... | Genetic Diversity Index | level3 | tier5 | multi_relation | 8 - Biology & Chemistry |
7_radar__img_1__category1__labeled__w_legend_qa479 | ccqa_71 | 7_radar__img_1__category1__labeled__w_legend.png | Among data points with below-average values, what is the minimum value? | {"step_1": "First, I need to read all values for each movie type across all rating aspects.", "step_2": "Second, I need to compute the overall average.", "step_3": "Third, I need to find all data points with values lower than 8.48.", "step_4": "Fourth, I need to identify the lowest value among these data points."} | {"step_1": [[4060, 464, 4604, 630], [3716, 497, 4047, 582], [2703, 546, 3313, 793], [4060, 637, 4427, 803], [3716, 669, 4047, 754], [4060, 809, 4666, 975], [3716, 841, 4047, 927], [2842, 975, 3174, 1388], [1054, 1411, 2329, 2021], [3607, 1411, 4922, 2067], [2842, 1437, 3174, 1652], [3631, 2747, 4938, 3389], [1191, 2756... | 7.20 | level2 | tier3 | 7_radar | 1 - Media & Entertainment |
1_bar__img_24__category24__angle90__horizontal__labeled__w_legend__xtop__yright_qa264 | ccqa_72 | 1_bar__img_24__category24__angle90__horizontal__labeled__w_legend__xtop__yright.png | Can you help calculate the median value of Average Trait Score for bars among 'Openness, Extraversion, Agreeableness, Honesty-Humility, Patience'? Please round to two decimal places. | {"step_1": "First, I need to identify the bars among 'Openness, Extraversion, Agreeableness, Honesty-Humility, Patience'.", "step_2": "Second, I need to calculate their median Average Trait Score."} | {"step_1": [[79, 277, 435, 347], [79, 403, 536, 537], [79, 591, 588, 725], [60, 934, 2058, 1090], [2061, 977, 2188, 1047], [2482, 982, 2695, 1052], [60, 1129, 2195, 1285], [2200, 1172, 2327, 1242], [2482, 1176, 2876, 1246], [60, 1519, 2356, 1675], [2362, 1561, 2824, 1636], [60, 1714, 1860, 1870], [2482, 1761, 2780, 183... | 69.70 | level2 | tier2 | 1_bar | 24 - Psychology & Personality |
multi_relation__img85__15__Health_&_Medicine__1_bar_3_scatter__7_radar__6_pie__1_bar__3_scatter_qa7996 | ccqa_73 | multi_relation__img85__15__Health_&_Medicine__1_bar_3_scatter__7_radar__6_pie__1_bar__3_scatter.png | Among countries that have both Average Life Expectancy (Years) above the 75th percentile and Healthcare Expenditure (% of GDP) and Doctors per 1,000 People above the mean, which one has the highest Average Life Expectancy (Years)? | {"step_1": "First, I need to calculate the 75th percentile Average Life Expectancy (Years) and identify countries above it in the lower left subplot.", "step_2": "Second, I need to calculate the mean Healthcare Expenditure (% of GDP) and Doctors per 1,000 People and identify countries above it in the lower right subplo... | {"step_1": [[323, 2544, 528, 3784], [1090, 2664, 1295, 4446], [579, 2859, 783, 4446], [835, 2887, 1039, 4446], [218, 3788, 614, 4047], [323, 4428, 528, 4446], [281, 4450, 713, 4704], [726, 4450, 969, 4681], [1000, 4450, 1225, 4663]], "step_2": [[3754, 2525, 4022, 2638], [3243, 2538, 3337, 2803], [3348, 2541, 3626, 2800... | Japan | level3 | tier5 | multi_relation | 15 - Health & Medicine |
2_histogram__img_11__category11__vertical__labeled__angle60__xbottom__yleft_qa527__mmqa_4459_mask2 | ccqa_74 | multi__img4459__4_line__2_histogram__1_bar__7_radar.png | According to the histogram chart, what is the highest Number of Products among bins that have their Number of Products below the mean Number of Products of all bins? | {"step_1": "First, I need to find the histogram chart subplot.", "step_2": "Second, I need to read the Number of Products of each bin in this histogram.", "step_3": "Third, I need to compute the average Number of Products among all bins.", "step_4": "Fourth, I need to find all the bins whose Number of Products is lower... | {"step_1": [[2876, 0, 5752, 2369]], "step_2": [[3198, 147, 5955, 2166]], "step_3": [[3198, 147, 5955, 2166]], "step_4": [[4849, 1715, 5955, 2166]], "step_5": [[9698, 3430, 10814, 4332]]} | 19 | level3 | tier4 | 2_histogram | 11 - Sale & Merchandise |
1_bar__img_10__category10__angle45__horizontal__labeled__w_legend__xtop__yright_qa1606 | ccqa_75 | 1_bar__img_10__category10__angle45__horizontal__labeled__w_legend__xtop__yright.png | Among celestial bodies whose Diameter (thousands of km) are below the average Diameter (thousands of km) of all bars, which celestial body has the lowest Diameter (thousands of km)? | {"step_1": "First, I need to read the Diameter (thousands of km) of each celestial body in this chart.", "step_2": "Second, I need to compute their average Diameter (thousands of km).", "step_3": "Third, I need to find all the celestial bodies whose Diameter (thousands of km) is lower than 45086.56.", "step_4": "Fourth... | {"step_1": [[1964, 277, 2475, 913], [41, 391, 142, 463], [2506, 397, 2653, 467], [41, 586, 142, 658], [2506, 592, 2620, 662], [42, 781, 169, 853], [2506, 787, 2656, 857], [42, 976, 169, 1048], [2506, 982, 2901, 1052], [42, 1171, 169, 1243], [2506, 1176, 2725, 1246], [60, 1324, 1678, 1480], [2506, 1371, 2714, 1441], [60... | Earth | level2 | tier3 | 1_bar | 10 - Space & Astronomy |
multi_relation__img144__24__Psychology_&_Personality__4_line_6_pie__1_bar__4_line__5_heatmap__6_pie_qa14328 | ccqa_76 | multi_relation__img144__24__Psychology_&_Personality__4_line_6_pie__1_bar__4_line__5_heatmap__6_pie.png | How many groups have their Average Trait Score by Group above the median while also having their participants above the mean? | {"step_1": "First, I need to identify groups with Average Trait Score by Group above the median in the upper right subplot.", "step_2": "Second, I need to identify groups with participants above the mean in the lower right subplot.", "step_3": "Third, I need to count groups that satisfy both conditions."} | {"step_1": [], "step_2": [[3421, 2553, 3714, 2635], [2810, 2636, 3998, 4495], [5077, 3325, 5578, 3580], [2810, 3650, 3018, 3732]], "step_3": [[3849, 72, 3941, 120], [3849, 126, 3941, 283], [5155, 140, 5559, 395], [3849, 396, 3941, 445], [3328, 451, 3419, 500], [3860, 487, 3932, 548], [3328, 539, 3419, 607], [3849, 559,... | 3 | level3 | tier5 | multi_relation | 24 - Psychology & Personality |
4_line__img_9__category9__vertical__w_markers__labeled__w_legend__xbottom__yleft_qa722 | ccqa_77 | 4_line__img_9__category9__vertical__w_markers__labeled__w_legend__xbottom__yleft.png | What Global Sales ($ Million) does Plant-Based Meat have at 2021? | {"step_1": "First, I need to find the line representing Plant-Based Meat.", "step_2": "Second, I need to read its Global Sales ($ Million) value at 2021."} | {"step_1": [[232, 267, 759, 337], [1283, 1484, 1400, 1579]], "step_2": [[232, 267, 759, 337], [1283, 1484, 1400, 1579]]} | 100 | level1 | tier1 | 4_line | 9 - Food & Nutrition |
3_scatter__img_1__category1__vertical__labeled__w_legend__xbottom__yleft_qa3005 | ccqa_78 | 3_scatter__img_1__category1__vertical__labeled__w_legend__xbottom__yleft.png | What is the label of the movie whose Rating Score is 3.8? | {"step_1": "First, I need to identify the movie whose Rating Score is 3.8.", "step_2": "Second, I need to read its movie label."} | {"step_1": [[230, 264, 324, 340], [335, 267, 591, 337], [832, 1325, 1153, 1452]], "step_2": [[230, 264, 324, 340], [335, 267, 591, 337], [832, 1325, 1153, 1452]]} | The Matrix | level1 | tier1 | 3_scatter | 1 - Media & Entertainment |
1_bar__img_16__category16__angle90__horizontal__labeled__w_legend__xtop__yright_qa1517 | ccqa_79 | 1_bar__img_16__category16__angle90__horizontal__labeled__w_legend__xtop__yright.png | Which country has its Annual CO₂ Emissions (Million Metric Tons) = 790? | {"step_1": "First, I need to find the bar with its Annual CO₂ Emissions (Million Metric Tons) equal to 790.", "step_2": "Second, I need to read its 'Country' label."} | {"step_1": [[60, 349, 1766, 505], [2614, 397, 2783, 467], [2179, 841, 2464, 913]], "step_2": [[60, 349, 1766, 505], [2614, 397, 2783, 467], [2179, 841, 2464, 913]]} | Russia | level1 | tier1 | 1_bar | 16 - Energy & Environment |
4_line__img_29__category29__vertical__w_markers__labeled__w_legend__xbottom__yleft_qa913 | ccqa_80 | 4_line__img_29__category29__vertical__w_markers__labeled__w_legend__xbottom__yleft.png | What is the highest New Projects Started among data points that have their New Projects Started above the overall mean New Projects Started of all data points? | {"step_1": "First, I need to read the New Projects Started of each data point in this chart.", "step_2": "Second, I need to compute the overall average New Projects Started of all data points.", "step_3": "Third, I need to find all data points whose New Projects Started is higher than 97.00.", "step_4": "Fourth, I need... | {"step_1": [[2772, 112, 2889, 161], [232, 142, 647, 400], [2793, 180, 2869, 241], [2276, 216, 2393, 264], [2296, 281, 2372, 343], [1779, 319, 1896, 368], [1800, 383, 1876, 444], [1283, 423, 1400, 471], [1303, 484, 1379, 546], [786, 527, 903, 575], [807, 586, 883, 647], [289, 630, 407, 679], [2772, 630, 2889, 679], [310... | 145 | level2 | tier3 | 4_line | 29 - Architecture & Urban Planning |
5_heatmap__img_10__category5__datayx__angle45__labeled__w_colorbar__xtop__yright_qa458 | ccqa_81 | 5_heatmap__img_10__category5__datayx__angle45__labeled__w_colorbar__xtop__yright.png | If sorting all cells that have student satisfaction scores higher than 70.0 but lower than 95.0 in descending order according to their student satisfaction scores, can you provide their position sequence in order separated with commas? | {"step_1": "First, I need to identify the cells that have student satisfaction scores higher than 70.0 but lower than 95.0.", "step_2": "Second, I need to read their student satisfaction scores.", "step_3": "Third, I need to sort them in descending order by their student satisfaction scores."} | {"step_1": [[30, 298, 2252, 2310]], "step_2": [[30, 298, 2252, 2310]], "step_3": [[30, 298, 2252, 2310]]} | (Biology, 2021), (Computer Science, 2017), (Psychology, 2021), (Computer Science, 2020), (Mechanical Engineering, 2021), (Computer Science, 2018), (Psychology, 2020), (Biology, 2017), (Biology, 2020), (Computer Science, 2019), (Psychology, 2017), (Business, 2021), (Mechanical Engineering, 2020), (Biology, 2018), (Mecha... | level2 | tier2 | 5_heatmap | 5 - Major & Course |
5_heatmap__img_44__category22__datayx__angle90__labeled__w_colorbar__xtop__yright_qa121__mmqa_9192_mask3 | ccqa_82 | multi__img9192__6_pie__4_line__5_heatmap__7_radar.png | According to the heatmap chart, what is the middle value of average temperatures (°C) in cells on the edge positions? Please round to two decimal places. | {"step_1": "First, I need to find the heatmap chart subplot.", "step_2": "Second, I need to identify the cells on the edge positions.", "step_3": "Third, I need to read their average temperatures (°C).", "step_4": "Fourth, I need to find the median value by sorting these values and identifying the middle value(s)."} | {"step_1": [[0, 2368, 2723, 4736]], "step_2": [[66, 5554, 5198, 9480]], "step_3": [[66, 5554, 5198, 9480]], "step_4": [[1093, 5554, 2118, 6339], [3145, 8696, 4171, 9480]]} | 19.00 | level3 | tier4 | 5_heatmap | 22 - Weather & Climate |
multi_relation__img101__17__Travel_&_Expedition__3_scatter_6_pie__3_scatter__1_bar__7_radar__6_pie_qa9436 | ccqa_83 | multi_relation__img101__17__Travel_&_Expedition__3_scatter_6_pie__3_scatter__1_bar__7_radar__6_pie.png | Calculate the sum of revenue shares (%) for countries that exceed both the mean Average Tourist Spend ($) and Average Stay Duration (Days) and median revenue shares (%). | {"step_1": "First, I need to calculate the mean Average Tourist Spend ($) and Average Stay Duration (Days) from the upper left subplot.", "step_2": "Second, I need to calculate the median revenue shares (%) from the lower right subplot.", "step_3": "Third, I need to identify countries that exceed both thresholds.", "st... | {"step_1": [[2784, 125, 2953, 238], [230, 138, 324, 403], [335, 141, 508, 400], [1956, 669, 2177, 782], [1265, 941, 1465, 1054], [900, 1485, 1053, 1555], [850, 1549, 899, 1598]], "step_2": [[3146, 2623, 4322, 4658], [5613, 3379, 5902, 3638], [3808, 4661, 4014, 4743]], "step_3": [[2784, 125, 2953, 238], [230, 138, 324, ... | 76 | level3 | tier5 | multi_relation | 17 - Travel & Expedition |
6_pie__img_27__category2__w_percent__wo_value__w_legend__seg0__angle30_qa399 | ccqa_84 | 6_pie__img_27__category2__w_percent__wo_value__w_legend__seg0__angle30.png | Which region type corresponds to 8.87% in this pie chart? | {"step_1": "First, I need to identify the slice with 8.87% in the pie chart.", "step_2": "Second, I need to read its label."} | {"step_1": [[1526, 232, 1996, 314], [1265, 326, 1778, 1294], [2354, 1388, 2845, 1458]], "step_2": [[1526, 232, 1996, 314], [1265, 326, 1778, 1294], [2354, 1388, 2845, 1458]]} | Nomadic groups | level1 | tier1 | 6_pie | 2 - Geography & Demography |
1_bar__img_23__category23__angle60__vertical__labeled__w_legend__xbottom__yleft_qa400__mmqa_20734_mask4 | ccqa_85 | multi__img20734__4_line__7_radar__6_pie__1_bar.png | According to the bar chart, what is the median value of Annual Commuter Rail Passengers (Millions) for bars that are positioned as the 1st, 3rd, 4th, 6th, 7th bars? Please round to two decimal places. | {"step_1": "First, I need to find the bar chart subplot.", "step_2": "Second, I need to identify the bars that are positioned as the 1st, 3rd, 4th, 6th, 7th bars.", "step_3": "Third, I need to calculate their median Annual Commuter Rail Passengers (Millions)."} | {"step_1": [[3000, 2400, 6000, 4800]], "step_2": [[5529, 2548, 5870, 2618], [4615, 2549, 4818, 4412], [5529, 2673, 5852, 2807], [4109, 2847, 4311, 4412], [5529, 2862, 5935, 2996], [4868, 3264, 5071, 4412], [3349, 3413, 3551, 4412], [3855, 3502, 4058, 4412], [3286, 4415, 3482, 4654], [3804, 4415, 3989, 4635], [4055, 441... | 370 | level3 | tier4 | 1_bar | 23 - Transportation & Infrastructure |
4_line__img_21__category21__vertical__w_markers__labeled__w_legend__xbottom__yleft_qa433__mmqa_3681_mask2 | ccqa_86 | multi__img3681__5_heatmap__4_line__2_histogram__3_scatter.png | According to the line chart, where is the data point with the largest Excavations Conducted located among ancient civilizations that have their labels among 'Egypt, Rome, Mesoamerica'? | {"step_1": "First, I need to find the line chart subplot.", "step_2": "Second, I need to identify the ancient civilizations that have their labels among 'Egypt, Rome, Mesoamerica'.", "step_3": "Third, I need to read all their 'Excavations Conducted' values.", "step_4": "Fourth, I need to compare them to find the data p... | {"step_1": [[3000, 0, 6000, 2400]], "step_2": [[3206, 142, 3490, 212], [3206, 267, 3647, 400], [3275, 978, 3371, 1081], [3275, 1663, 3371, 1753], [3275, 2006, 3372, 2089]], "step_3": [[5782, 121, 5878, 169], [3206, 142, 3490, 212], [5792, 180, 5868, 241], [3206, 267, 3647, 400], [5280, 292, 5376, 341], [5290, 348, 5366... | Egypt at 2024 | level3 | tier4 | 4_line | 21 - History & Archaeology |
7_radar__img_12__category12__labeled__w_legend_qa231__mmqa_8023_mask4 | ccqa_87 | multi__img8023__4_line__2_histogram__1_bar__7_radar.png | According to the radar chart, among data points for the economic indicators GDP Growth, Inflation Control, Investment Rate, what is the smallest value? | {"step_1": "First, I need to find the radar chart subplot.", "step_2": "Second, I need to identify the data points for the economic indicators GDP Growth, Inflation Control, Investment Rate.", "step_3": "Third, I need to find the minimum value among these data points."} | {"step_1": [[2821, 2371, 5642, 4742]], "step_2": [[8533, 5115, 9401, 5362], [10545, 5149, 10850, 5315], [10201, 5181, 10532, 5267], [10545, 5321, 11145, 5487], [10201, 5354, 10532, 5439], [10545, 5493, 10895, 5659], [10201, 5526, 10532, 5611], [8802, 5744, 9133, 5958], [8802, 5968, 9133, 6182], [8802, 6329, 9133, 6543]... | 6.50 | level3 | tier4 | 7_radar | 12 - Market & Economy |
3_scatter__img_22__category22__horizontal__labeled__w_legend__xtop__yright_qa1235 | ccqa_88 | 3_scatter__img_22__category22__horizontal__labeled__w_legend__xtop__yright.png | Among cities with their Annual Rainfall (mm) higher than the lowest but lower than the highest, what is lowest Annual Rainfall (mm)? | {"step_1": "First, I need to find all the cities with their Annual Rainfall (mm) higher than the lowest but lower than the highest.", "step_2": "Second, I need to compare their Annual Rainfall (mm) to find the one with the lowest Annual Rainfall (mm)."} | {"step_1": [[364, 697, 588, 814], [2508, 844, 2686, 987], [1424, 1139, 1745, 1272], [46, 1360, 227, 1473], [1342, 1507, 1601, 1639], [2302, 1693, 2398, 1832], [2407, 1696, 2633, 1829], [1328, 1728, 1528, 1859], [580, 1802, 733, 1922], [2303, 1882, 2397, 1958], [2408, 1885, 2589, 1955], [2302, 2007, 2398, 2335], [2407, ... | 300 | level2 | tier2 | 3_scatter | 22 - Weather & Climate |
5_heatmap__img_7__category4__dataxy__angle60__labeled__w_colorbar__xbottom__yleft_qa63__mmqa_9498_mask2 | ccqa_89 | multi__img9498__2_histogram__5_heatmap__4_line__1_bar.png | According to the heatmap chart, what is the total sum of revenues (in billion USD) for cells with revenues (in billion USD) between the minimum and maximum values? | {"step_1": "First, I need to find the heatmap chart subplot.", "step_2": "Second, I need to identify the cells with revenues (in billion USD) between the minimum and maximum values.", "step_3": "Third, I need to read their revenues (in billion USD).", "step_4": "Fourth, I need to calculate their sum."} | {"step_1": [[2848, 0, 5696, 2371]], "step_2": [[3252, 108, 5583, 2080]], "step_3": [[3252, 108, 5583, 2080]], "step_4": [[3252, 108, 5583, 2080]]} | 4125.00 | level3 | tier4 | 5_heatmap | 4 - Business & Industry |
3_scatter__img_16__category16__horizontal__labeled__w_legend__xtop__yright_qa1575 | ccqa_90 | 3_scatter__img_16__category16__horizontal__labeled__w_legend__xtop__yright.png | Among countries whose CO₂ Emissions (Mt) are above the lowest while below the highest, what is the label of the country with the lowest Energy Consumption (TWh)? | {"step_1": "First, I need to find all the countries whose CO₂ Emissions (Mt) are above the lowest while below the highest.", "step_2": "Second, I need to compare their Energy Consumption (TWh) to find the one with the lowest Energy Consumption (TWh)."} | {"step_1": [[89, 268, 185, 659], [194, 271, 420, 656], [669, 447, 836, 560], [89, 771, 185, 910], [194, 774, 367, 907], [1961, 830, 2115, 945], [2234, 1213, 2370, 1329], [1512, 1289, 1603, 1403], [408, 1519, 581, 1632], [1367, 1596, 1518, 1709], [1633, 1979, 1859, 2094], [716, 2171, 836, 2284]], "step_2": [[90, 268, 18... | USA | level2 | tier2 | 3_scatter | 16 - Energy & Environment |
1_bar__img_15__category15__angle60__vertical__labeled__w_legend__xbottom__yleft_qa1714__mmqa_30631_mask4 | ccqa_91 | multi__img30631__6_pie__3_scatter__2_histogram__1_bar.png | According to the bar chart, if sorting all the bars that are represented by the 1st, 3rd, 4th, 6th, 7th bars according to their Average Life Expectancy (Years) from high to low, can you help provide their 'Country' sequence in order and separate them with commas? | {"step_1": "First, I need to find the bar chart subplot.", "step_2": "Second, I need to identify the bars that are represented by the 1st, 3rd, 4th, 6th, 7th bars and read their Average Life Expectancy (Years).", "step_3": "Third, I need to sort them according to their Average Life Expectancy (Years) from high to low."... | {"step_1": [[3000, 2400, 6000, 4800]], "step_2": [[6438, 5098, 7162, 8786], [8182, 5332, 8590, 8830], [9204, 5442, 9614, 8830], [9716, 5540, 10124, 8830], [7670, 5770, 8078, 8830], [6938, 7728, 6964, 7740], [7046, 7744, 7056, 7760], [6772, 8092, 6798, 8124], [6822, 8108, 6846, 8124], [6770, 8458, 6796, 8490], [7036, 84... | Japan, Australia, Italy, Iceland, Singapore | level3 | tier4 | 1_bar | 15 - Health & Medicine |
5_heatmap__img_22__category11__datayx__angle45__labeled__w_colorbar__xtop__yright_qa555 | ccqa_92 | 5_heatmap__img_22__category11__datayx__angle45__labeled__w_colorbar__xtop__yright.png | What sales volume (units) corresponds to Clothing and Los Angeles? | {"step_1": "First, I need to locate the cell at the intersection of Clothing (Product Category) and Los Angeles (City).", "step_2": "Second, I need to read the sales volume (units) at this position."} | {"step_1": [[496, 788, 961, 1176]], "step_2": [[496, 788, 961, 1176]]} | 1600 | level1 | tier1 | 5_heatmap | 11 - Sale & Merchandise |
7_radar__img_27__category27__labeled__w_legend_qa12 | ccqa_93 | 7_radar__img_27__category27__labeled__w_legend.png | Count the total number of data points in this radar chart. | {"step_1": "First, I need to count all data points across 3 styles and 5 fashion metrics."} | {"step_1": [[2684, 315, 3478, 562], [4459, 349, 5164, 515], [4116, 381, 4446, 467], [4459, 521, 5258, 687], [4116, 554, 4446, 639], [4459, 693, 5108, 859], [4116, 726, 4446, 811], [2916, 832, 3246, 1046], [2916, 1166, 3246, 1380], [2915, 1415, 3247, 1629], [459, 1870, 2102, 2425], [4902, 1870, 5541, 2117], [4025, 2045,... | 15 | level1 | tier1 | 7_radar | 27 - Fashion & Apparel |
3_scatter__img_9__category9__vertical__labeled__w_legend__xbottom__yleft_qa616 | ccqa_94 | 3_scatter__img_9__category9__vertical__labeled__w_legend__xbottom__yleft.png | For foods whose labels are one of 'Chicken Breast, Carrot, Banana, Egg, Salmon', what is their average Calories? Please round to two decimal places. | {"step_1": "First, I need to identify the foods whose labels are one of 'Chicken Breast, Carrot, Banana, Egg, Salmon'.", "step_2": "Second, I need to calculate their average Calories."} | {"step_1": [[230, 138, 324, 215], [335, 141, 681, 211], [229, 264, 325, 403], [334, 267, 528, 400], [229, 453, 325, 591], [334, 456, 525, 588], [1086, 781, 1341, 908], [1615, 913, 2030, 1045], [484, 1110, 702, 1227], [2371, 1898, 2560, 2038], [409, 2029, 651, 2145]], "step_2": [[230, 138, 324, 215], [335, 141, 681, 211... | 194.00 | level2 | tier2 | 3_scatter | 9 - Food & Nutrition |
4_line__img_27__category27__vertical__w_markers__labeled__w_legend__xbottom__yleft_qa912 | ccqa_95 | 4_line__img_27__category27__vertical__w_markers__labeled__w_legend__xbottom__yleft.png | Among data points whose Revenue ($ Billion) are above the overall average Revenue ($ Billion), what is the highest Revenue ($ Billion)? | {"step_1": "First, I need to read the Revenue ($ Billion) of each data point in this chart.", "step_2": "Second, I need to compute the overall average Revenue ($ Billion) of all data points.", "step_3": "Third, I need to find all data points whose Revenue ($ Billion) is higher than 30.00.", "step_4": "Fourth, I need to... | {"step_1": [[2782, 120, 2878, 168], [206, 142, 501, 400], [2792, 180, 2868, 241], [2280, 313, 2376, 362], [2290, 369, 2366, 431], [1779, 507, 1875, 555], [1789, 559, 1865, 620], [1277, 700, 1374, 810], [2782, 845, 2878, 952], [776, 893, 872, 999], [2280, 990, 2376, 1094], [275, 1038, 371, 1141], [1779, 1135, 1875, 1236... | 54 | level2 | tier3 | 4_line | 27 - Fashion & Apparel |
5_heatmap__img_5__category3__dataxy__angle30__labeled__w_colorbar__xbottom__yleft_qa685 | ccqa_96 | 5_heatmap__img_5__category3__dataxy__angle30__labeled__w_colorbar__xbottom__yleft.png | What are all the graduation rates in the row for 2019? Please provide the results in the format 'Universities: value'. | {"step_1": "First, I need to locate the row for 2019.", "step_2": "Second, I need to read all graduation rates in this row."} | {"step_1": [[234, 1696, 2397, 2093]], "step_2": [[234, 1696, 2397, 2093]]} | Harvard: 88.0, Oxford: 90.0, Stanford: 84.0, Tsinghua: 86.0, ETH Zurich: 89.0 | level1 | tier1 | 5_heatmap | 3 - Education & Academia |
2_histogram__img_15__category15__vertical__labeled__angle60__xbottom__yleft_qa14 | ccqa_97 | 2_histogram__img_15__category15__vertical__labeled__angle60__xbottom__yleft.png | What is the number of bins in this histogram? | {"step_1": "First, I need to count the number of bins in this histogram."} | {"step_1": [[198, 147, 2955, 2165]]} | 5 | level1 | tier1 | 2_histogram | 15 - Health & Medicine |
6_pie__img_469__category19__w_percent__w_value__w_legend__seg3__angle60_qa199 | ccqa_98 | 6_pie__img_469__category19__w_percent__w_value__w_legend__seg3__angle60.png | Among communication tools with their percentages higher than the lowest but lower than the highest, what is the label of the communication tool with the smallest percentage? | {"step_1": "First, I need to find all the communication tools with their percentages higher than the lowest but lower than the highest.", "step_2": "Second, I need to compare their percentages to find the one with the lowest percentage."} | {"step_1": [[301, 486, 2656, 2286], [2490, 1202, 2955, 1398]], "step_2": [[1301, 486, 2656, 1313], [2490, 1328, 2903, 1398]]} | Shared Docs | level2 | tier2 | 6_pie | 19 - Communication & Collaboration |
6_pie__img_395__category16__w_percent__wo_value__w_legend__seg3__angle90_qa305 | ccqa_99 | 6_pie__img_395__category16__w_percent__wo_value__w_legend__seg3__angle90.png | Can you help sort all the energy types whose percentages are higher than 10.71% but lower than 30.00% in ascending order according to their percentages, and provide their label sequence in order separated with commas? | {"step_1": "First, I need to identify all the energy types whose percentages are higher than 10.71% but lower than 30.00%.", "step_2": "Second, I need to read their percentages.", "step_3": "Third, I need to sort them in ascending order according to their percentages."} | {"step_1": [[288, 444, 2617, 2308], [2526, 1199, 2955, 1395]], "step_2": [[288, 444, 2617, 2308], [2526, 1199, 2955, 1395]], "step_3": [[288, 444, 2617, 2308], [2526, 1199, 2955, 1395]]} | Geothermal, Hydroelectric, Wind | level2 | tier2 | 6_pie | 16 - Energy & Environment |
5_heatmap__img_36__category18__datayx__angle90__labeled__w_colorbar__xtop__yright_qa765 | ccqa_100 | 5_heatmap__img_36__category18__datayx__angle90__labeled__w_colorbar__xtop__yright.png | What is the highest annual visitors (thousands) among cells that have annual visitors (thousands) above the overall average? | {"step_1": "First, I need to read all the annual visitors (thousands) in this heatmap.", "step_2": "Second, I need to calculate the overall mean annual visitors (thousands).", "step_3": "Third, I need to identify cells with annual visitors (thousands) above 247.2.", "step_4": "Fourth, I need to find the maximum annual ... | {"step_1": [[30, 472, 2358, 2310]], "step_2": [[30, 472, 2358, 2310]], "step_3": [[30, 472, 496, 840], [961, 472, 1427, 840], [1892, 472, 2358, 840], [30, 1207, 2358, 2310], [30, 1942, 496, 2310]], "step_4": [[961, 1207, 1427, 1575]]} | 350 | level2 | tier3 | 5_heatmap | 18 - Arts & Culture |
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CCQA: Curriculum Chart Question Answering
CCQA (Curriculum Chart Question Answering) is a three-level curriculum dataset introduced in the paper CURV: Enhancing Chart Understanding Through Curriculum Visual Grounded Reasoning.
- Paper: CURV: Enhancing Chart Understanding Through Curriculum Visual Grounded Reasoning
- Project Page: https://xhguo7.github.io/CURV/
- Repository: https://github.com/xhguo7/CURV
Dataset Summary
CCQA is generated entirely from templates, with no model in the loop. Every question, reasoning step, grounding box, and answer is computed deterministically from plotting data, guaranteeing ground-truth correctness at scale. The curriculum systematically progresses from basic single-operation reasoning to complex multi-chart compositional tasks.
Citation
@article{guo2026curv,
title={CURV: Enhancing Chart Understanding Through Curriculum Visual Grounded Reasoning},
author={Guo, Xuehang and Zhang, Pingyue and Zhang, Ruiyi and Wang, Zhenhailong and Lyu, Hanrui and Ji, Heng and Sun, Tong and Wang, Qingyun and Li, Manling},
journal={arXiv preprint arXiv:2608.02833},
year={2026}
}
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