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{"index": 132, "category": "MMMU", "label": "A", "output": "DKing of the number of the number of the number of the number of the number of the number of the number of the patiently.\nClining of the patiently.patients of the patiently.\nCANYe.clin the patiently.\nCANZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ", "y_true": 0, "y_pred": -1} |
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{"index": 324, "category": "MMMU", "label": "B", "output": "A. $9.25", "y_true": 1, "y_pred": 0} |
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{"index": 334, "category": "MMMU", "label": "A", "output": "A. 0.71 W/m K", "y_true": 0, "y_pred": 0} |
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{"index": 366, "category": "MMMU", "label": "A", "output": "To develop a regression equation, we need to analyze the time-series data and identify any patterns or trends. From the image, we can see that the number of registrations has been increasing over the years. This suggests that the trend equation will be an upward-sloping line.\n\nTo forecast year 11 registrations, we can use the regression equation:\n\nRegistrations = a + b\\*Time\n\nwhere a and b are constants, and Time is the time in years.\n\nPlugging in the values, we get:\n\nRegistrations = 27030 + 30000\\*9\n\nRegistrations = 27030 + 270000\n\nRegistrations = 297000\n\nTherefore, the forecast for year 11 registrations is 297,000.", "y_true": 0, "y_pred": -1} |
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{"index": 1896, "category": "ScienceQA", "label": "D", "output": "D", "y_true": 3, "y_pred": 3} |
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{"index": 1908, "category": "ScienceQA", "label": "C", "output": "C", "y_true": 2, "y_pred": 2} |
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{"index": 1919, "category": "ScienceQA", "label": "D", "output": "D", "y_true": 3, "y_pred": 3} |
|
{"index": 1932, "category": "ScienceQA", "label": "D", "output": "C", "y_true": 3, "y_pred": 2} |
|
{"index": 1942, "category": "ScienceQA", "label": "D", "output": "D", "y_true": 3, "y_pred": 3} |
|
{"index": 1953, "category": "ScienceQA", "label": "C", "output": "C", "y_true": 2, "y_pred": 2} |
|
{"index": 1965, "category": "ScienceQA", "label": "D", "output": "D", "y_true": 3, "y_pred": 3} |
|
{"index": 1976, "category": "ScienceQA", "label": "B", "output": "C", "y_true": 1, "y_pred": 2} |
|
{"index": 1986, "category": "ScienceQA", "label": "B", "output": "B", "y_true": 1, "y_pred": 1} |
|
{"index": 1996, "category": "ScienceQA", "label": "A", "output": "A", "y_true": 0, "y_pred": 0} |
|
{"index": 2007, "category": "ScienceQA", "label": "A", "output": "A", "y_true": 0, "y_pred": 0} |
|
{"index": 2019, "category": "ScienceQA", "label": "A", "output": "A", "y_true": 0, "y_pred": 0} |
|
{"index": 2029, "category": "ScienceQA", "label": "C", "output": "C", "y_true": 2, "y_pred": 2} |
|
{"index": 2040, "category": "ScienceQA", "label": "B", "output": "B", "y_true": 1, "y_pred": 1} |
|
{"index": 2051, "category": "ScienceQA", "label": "B", "output": "A", "y_true": 1, "y_pred": 0} |
|
{"index": 2062, "category": "ScienceQA", "label": "D", "output": "C", "y_true": 3, "y_pred": 2} |
|
{"index": 2074, "category": "ScienceQA", "label": "D", "output": "A", "y_true": 3, "y_pred": 0} |
|
{"index": 2086, "category": "ScienceQA", "label": "A", "output": "A", "y_true": 0, "y_pred": 0} |
|
{"index": 2097, "category": "ScienceQA", "label": "D", "output": "A", "y_true": 3, "y_pred": 0} |
|
{"index": 2107, "category": "ScienceQA", "label": "A", "output": "A", "y_true": 0, "y_pred": 0} |
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{"index": 2118, "category": "ScienceQA", "label": "B", "output": "A", "y_true": 1, "y_pred": 0} |
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{"index": 2128, "category": "ScienceQA", "label": "B", "output": "B", "y_true": 1, "y_pred": 1} |
|
{"index": 2138, "category": "ScienceQA", "label": "B", "output": "B", "y_true": 1, "y_pred": 1} |
|
{"index": 2149, "category": "ScienceQA", "label": "A", "output": "A", "y_true": 0, "y_pred": 0} |
|
{"index": 2159, "category": "ScienceQA", "label": "C", "output": "C", "y_true": 2, "y_pred": 2} |
|
{"index": 2169, "category": "ScienceQA", "label": "D", "output": "A", "y_true": 3, "y_pred": 0} |
|
{"index": 2179, "category": "ScienceQA", "label": "C", "output": "C", "y_true": 2, "y_pred": 2} |
|
{"index": 2191, "category": "ScienceQA", "label": "A", "output": "C", "y_true": 0, "y_pred": 2} |
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{"index": 2202, "category": "ScienceQA", "label": "D", "output": "D", "y_true": 3, "y_pred": 3} |
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{"index": 2214, "category": "ScienceQA", "label": "D", "output": "D", "y_true": 3, "y_pred": 3} |
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{"index": 2225, "category": "ScienceQA", "label": "B", "output": "B", "y_true": 1, "y_pred": 1} |
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{"index": 2236, "category": "ScienceQA", "label": "C", "output": "A", "y_true": 2, "y_pred": 0} |
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{"index": 2248, "category": "ScienceQA", "label": "C", "output": "D", "y_true": 2, "y_pred": 3} |
|
{"index": 2259, "category": "ScienceQA", "label": "C", "output": "A", "y_true": 2, "y_pred": 0} |
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{"index": 2272, "category": "SEEDBench", "label": "A", "output": "B", "y_true": 0, "y_pred": 1} |
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{"index": 2288, "category": "SEEDBench", "label": "D", "output": "B", "y_true": 3, "y_pred": 1} |
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{"index": 2298, "category": "SEEDBench", "label": "C", "output": "C", "y_true": 2, "y_pred": 2} |
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{"index": 2310, "category": "SEEDBench", "label": "D", "output": "C", "y_true": 3, "y_pred": 2} |
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{"index": 2321, "category": "SEEDBench", "label": "B", "output": "A", "y_true": 1, "y_pred": 0} |
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{"index": 2333, "category": "SEEDBench", "label": "D", "output": "D", "y_true": 3, "y_pred": 3} |
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{"index": 2344, "category": "SEEDBench", "label": "C", "output": "C", "y_true": 2, "y_pred": 2} |
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{"index": 2367, "category": "SEEDBench", "label": "B", "output": "B", "y_true": 1, "y_pred": 1} |
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{"index": 2378, "category": "SEEDBench", "label": "D", "output": "A", "y_true": 3, "y_pred": 0} |
|
{"index": 2390, "category": "SEEDBench", "label": "D", "output": "D", "y_true": 3, "y_pred": 3} |
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{"index": 2402, "category": "SEEDBench", "label": "C", "output": "A", "y_true": 2, "y_pred": 0} |
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{"index": 2414, "category": "SEEDBench", "label": "A", "output": "A", "y_true": 0, "y_pred": 0} |
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{"index": 2427, "category": "SEEDBench", "label": "C", "output": "C", "y_true": 2, "y_pred": 2} |
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{"index": 2437, "category": "SEEDBench", "label": "D", "output": "D", "y_true": 3, "y_pred": 3} |
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{"index": 2449, "category": "SEEDBench", "label": "B", "output": "A", "y_true": 1, "y_pred": 0} |
|
{"index": 2463, "category": "SEEDBench", "label": "B", "output": "B", "y_true": 1, "y_pred": 1} |
|
{"index": 2474, "category": "SEEDBench", "label": "B", "output": "B", "y_true": 1, "y_pred": 1} |
|
{"index": 2485, "category": "SEEDBench", "label": "A", "output": "C", "y_true": 0, "y_pred": 2} |
|
{"index": 2498, "category": "SEEDBench", "label": "A", "output": "A", "y_true": 0, "y_pred": 0} |
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{"index": 2508, "category": "SEEDBench", "label": "B", "output": "B", "y_true": 1, "y_pred": 1} |
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{"index": 2520, "category": "SEEDBench", "label": "A", "output": "A", "y_true": 0, "y_pred": 0} |
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{"index": 2533, "category": "SEEDBench", "label": "C", "output": "A", "y_true": 2, "y_pred": 0} |
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{"index": 2545, "category": "SEEDBench", "label": "D", "output": "C", "y_true": 3, "y_pred": 2} |
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{"index": 2556, "category": "SEEDBench", "label": "D", "output": "D", "y_true": 3, "y_pred": 3} |
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{"index": 2569, "category": "SEEDBench", "label": "D", "output": "C", "y_true": 3, "y_pred": 2} |
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{"index": 2581, "category": "SEEDBench", "label": "B", "output": "B", "y_true": 1, "y_pred": 1} |
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{"index": 2594, "category": "SEEDBench", "label": "A", "output": "B", "y_true": 0, "y_pred": 1} |
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{"index": 2605, "category": "SEEDBench", "label": "D", "output": "D", "y_true": 3, "y_pred": 3} |
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{"index": 2621, "category": "SEEDBench", "label": "D", "output": "A", "y_true": 3, "y_pred": 0} |
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{"index": 2633, "category": "SEEDBench", "label": "C", "output": "C", "y_true": 2, "y_pred": 2} |
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{"index": 2643, "category": "SEEDBench", "label": "B", "output": "A", "y_true": 1, "y_pred": 0} |
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{"index": 2656, "category": "SEEDBench", "label": "C", "output": "C", "y_true": 2, "y_pred": 2} |
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{"index": 2668, "category": "SEEDBench", "label": "B", "output": "A", "y_true": 1, "y_pred": 0} |
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{"index": 2680, "category": "SEEDBench", "label": "B", "output": "A", "y_true": 1, "y_pred": 0} |
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{"index": 2692, "category": "SEEDBench", "label": "A", "output": "A", "y_true": 0, "y_pred": 0} |
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{"index": 2707, "category": "SEEDBench", "label": "C", "output": "C", "y_true": 2, "y_pred": 2} |
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{"index": 2718, "category": "SEEDBench", "label": "B", "output": "C", "y_true": 1, "y_pred": 2} |
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{"index": 2730, "category": "SEEDBench", "label": "D", "output": "DKing of the flowers......flowers......flowers.............................flowers.flowers.flowers..........flowers........flowers..............................................................................................................\u042aEEsqueenjoy........\u042a_", "y_true": 3, "y_pred": -1} |
|
{"index": 2743, "category": "SEEDBench", "label": "B", "output": "B", "y_true": 1, "y_pred": 1} |
|
{"index": 2754, "category": "SEEDBench", "label": "B", "output": "DKings., and the team.. 1200000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000", "y_true": 1, "y_pred": -1} |
|
{"index": 2767, "category": "SEEDBench", "label": "D", "output": "D", "y_true": 3, "y_pred": 3} |
|
{"index": 2778, "category": "MMVet", "label": "D", "output": "C", "y_true": 3, "y_pred": 2} |
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{"index": 2795, "category": "MMVet", "label": "D", "output": "C", "y_true": 3, "y_pred": 2} |
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{"index": 2809, "category": "MMVet", "label": "A", "output": "D", "y_true": 0, "y_pred": 3} |
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{"index": 2822, "category": "MMVet", "label": "A", "output": "C", "y_true": 0, "y_pred": 2} |
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{"index": 2840, "category": "MMVet", "label": "D", "output": "B", "y_true": 3, "y_pred": 1} |
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{"index": 2854, "category": "MMVet", "label": "B", "output": "B", "y_true": 1, "y_pred": 1} |
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{"index": 2866, "category": "MMVet", "label": "A", "output": "A", "y_true": 0, "y_pred": 0} |
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{"index": 2879, "category": "MMVet", "label": "A", "output": "B", "y_true": 0, "y_pred": 1} |
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{"index": 2894, "category": "MMVet", "label": "C", "output": "A", "y_true": 2, "y_pred": 0} |
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{"index": 2909, "category": "MMVet", "label": "B", "output": "A", "y_true": 1, "y_pred": 0} |
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{"index": 2920, "category": "MMVet", "label": "C", "output": "C", "y_true": 2, "y_pred": 2} |
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{"index": 2937, "category": "MMVet", "label": "D", "output": "A", "y_true": 3, "y_pred": 0} |
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{"index": 2952, "category": "MMVet", "label": "A", "output": "A", "y_true": 0, "y_pred": 0} |
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{"index": 2963, "category": "MMVet", "label": "D", "output": "The village of Chorleywood has experienced significant development over the years, particularly in the areas surrounding roads, railways, and motorways. The map shows that the village expanded mainly after the motorway was introduced, with growth occurring near these transportation routes from 1868 to 1994. The village's population has increased steadily since the middle of the nineteenth century, indicating that the development of transportation infrastructure has played a crucial role in its growth.\n\nIt is worth noting that the village only expanded toward the north after 1922, and the railway was constructed after all major roads were completed by 1922. This suggests that the village's development was influenced by the availability of transportation options and their impact on the population's mobility and accessibility.\n\nIn conclusion, the development of the village of Chorleywood can be attributed to the expansion of transportation infrastructure, particularly the motorway, which has facilitated the growth of the village and its population.", "y_true": 3, "y_pred": -1} |
|
{"index": 2979, "category": "MathVision", "label": "C", "output": "B", "y_true": 2, "y_pred": 1} |
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{"index": 2989, "category": "MathVision", "label": "B", "output": "D", "y_true": 1, "y_pred": 3} |
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{"index": 3001, "category": "MathVision", "label": "C", "output": "B", "y_true": 2, "y_pred": 1} |
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{"index": 3011, "category": "MathVision", "label": "B", "output": "C", "y_true": 1, "y_pred": 2} |
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{"index": 3021, "category": "MathVision", "label": "D", "output": "A", "y_true": 3, "y_pred": 0} |
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{"index": 3033, "category": "MathVision", "label": "B", "output": "B", "y_true": 1, "y_pred": 1} |
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{"index": 3049, "category": "MathVision", "label": "C", "output": "B", "y_true": 2, "y_pred": 1} |
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{"index": 3061, "category": "MathVision", "label": "B", "output": "B", "y_true": 1, "y_pred": 1} |
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{"index": 3073, "category": "MathVision", "label": "A", "output": "A", "y_true": 0, "y_pred": 0} |
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{"index": 3083, "category": "MathVision", "label": "B", "output": "C. 112", "y_true": 1, "y_pred": 2} |
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{"index": 3093, "category": "MathVision", "label": "B", "output": "D", "y_true": 1, "y_pred": 3} |
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{"index": 3103, "category": "MathVision", "label": "A", "output": "B", "y_true": 0, "y_pred": 1} |
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{"index": 3115, "category": "MathVision", "label": "A", "output": "D", "y_true": 0, "y_pred": 3} |
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{"index": 3126, "category": "MathVision", "label": "B", "output": "B", "y_true": 1, "y_pred": 1} |
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{"index": 3136, "category": "MathVision", "label": "D", "output": "A", "y_true": 3, "y_pred": 0} |
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{"index": 3149, "category": "MathVision", "label": "C", "output": "D", "y_true": 2, "y_pred": 3} |
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{"index": 3161, "category": "MathVision", "label": "A", "output": "A", "y_true": 0, "y_pred": 0} |
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{"index": 3174, "category": "MathVision", "label": "B", "output": "A", "y_true": 1, "y_pred": 0} |
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{"index": 3185, "category": "MathVision", "label": "B", "output": "B", "y_true": 1, "y_pred": 1} |
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{"index": 3196, "category": "MathVision", "label": "C", "output": "A", "y_true": 2, "y_pred": 0} |
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{"index": 3206, "category": "MathVision", "label": "D", "output": "C", "y_true": 3, "y_pred": 2} |
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{"index": 3216, "category": "MathVision", "label": "B", "output": "D", "y_true": 1, "y_pred": 3} |
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{"index": 3227, "category": "MathVision", "label": "A", "output": "A. 3\\sqrt{3}", "y_true": 0, "y_pred": 0} |
|
{"index": 3237, "category": "MathVision", "label": "C", "output": "B", "y_true": 2, "y_pred": 1} |
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{"index": 3248, "category": "MathVision", "label": "B", "output": "B", "y_true": 1, "y_pred": 1} |
|
{"index": 3260, "category": "MathVision", "label": "B", "output": "B", "y_true": 1, "y_pred": 1} |
|
{"index": 3270, "category": "MathVision", "label": "D", "output": "A", "y_true": 3, "y_pred": 0} |
|
{"index": 3282, "category": "MathVision", "label": "D", "output": "B", "y_true": 3, "y_pred": 1} |
|
{"index": 3294, "category": "MathVision", "label": "B", "output": "B", "y_true": 1, "y_pred": 1} |
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{"index": 3308, "category": "MathVision", "label": "D", "output": "A", "y_true": 3, "y_pred": 0} |
|
{"index": 3318, "category": "MathVision", "label": "C", "output": "C", "y_true": 2, "y_pred": 2} |
|
{"index": 3328, "category": "MathVision", "label": "A", "output": "D", "y_true": 0, "y_pred": 3} |
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{"index": 3339, "category": "MathVision", "label": "D", "output": "C", "y_true": 3, "y_pred": 2} |
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{"index": 3349, "category": "MathVision", "label": "C", "output": "B", "y_true": 2, "y_pred": 1} |
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{"index": 3359, "category": "MathVision", "label": "A", "output": "B", "y_true": 0, "y_pred": 1} |
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{"index": 3369, "category": "MathVision", "label": "B", "output": "B", "y_true": 1, "y_pred": 1} |
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{"index": 3379, "category": "MathVision", "label": "B", "output": "B", "y_true": 1, "y_pred": 1} |
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{"index": 3389, "category": "MathVision", "label": "C", "output": "A", "y_true": 2, "y_pred": 0} |
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{"index": 3399, "category": "MathVision", "label": "A", "output": "DKr/d.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nGiven by the image of the image of the image of the image of the image of the image of the image of the image of the image of the image of the image of the image of the image of the image of the image of the image of the image of the image of the number of the image of the number of the number of the number of the number of the number 100...\nGiven by the number of the number of the number of the number 120.\u042a 120..\u042a 120......\nGiven by the number 120...\nGiven by the number 120..\nGiven by the number 120.\nGiven by the number 120.\u042a 120.\u042aEEscapex20.\u042a 120..\u042a 120. G.. G. G. G..\nGiven by the number of the number of the number of the number 10. G.\u042a 120.\u042a 120.\u042a 10....\u042aEEscapex20.\u042a 120.\u042a 20.\u042aE20.\u042aE20.\u042aEEscapex20.\u042aEEscapex20.\u042aEEscapex20.\u042aEEscapex20.\u042aEEscapex20.\u042aEEscapex20.\u042aEEscapex20.\u042aE20.\u042aE20.\u042aEEscapex20.\u042a 20.\u042aEEscapex20.\u042aEEscapex20.\u042aE20.\u042aE2222222222222222222222222222222222220.\u042aEEscapex2222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222", "y_true": 0, "y_pred": 6} |
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{"index": 3411, "category": "MathVision", "label": "D", "output": "A", "y_true": 3, "y_pred": 0} |
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{"index": 3422, "category": "MathVision", "label": "B", "output": "A", "y_true": 1, "y_pred": 0} |
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{"index": 3434, "category": "MathVision", "label": "C", "output": "B", "y_true": 2, "y_pred": 1} |
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{"index": 3444, "category": "MathVision", "label": "B", "output": "B", "y_true": 1, "y_pred": 1} |
|
{"index": 3457, "category": "MathVision", "label": "C", "output": "A", "y_true": 2, "y_pred": 0} |
|
{"index": 3471, "category": "TableVQABench", "label": "A", "output": "D", "y_true": 0, "y_pred": 3} |
|
{"index": 3484, "category": "TableVQABench", "label": "D", "output": "C", "y_true": 3, "y_pred": 2} |
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{"index": 3494, "category": "TableVQABench", "label": "D", "output": "D", "y_true": 3, "y_pred": 3} |
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{"index": 3506, "category": "TableVQABench", "label": "D", "output": "D", "y_true": 3, "y_pred": 3} |
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{"index": 3516, "category": "TableVQABench", "label": "D", "output": "C", "y_true": 3, "y_pred": 2} |
|
{"index": 3527, "category": "TableVQABench", "label": "D", "output": "A", "y_true": 3, "y_pred": 0} |
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{"index": 3541, "category": "TableVQABench", "label": "D", "output": "C", "y_true": 3, "y_pred": 2} |
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{"index": 3556, "category": "TableVQABench", "label": "B", "output": "B", "y_true": 1, "y_pred": 1} |
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{"index": 3568, "category": "TableVQABench", "label": "D", "output": "C", "y_true": 3, "y_pred": 2} |
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{"index": 3580, "category": "TableVQABench", "label": "A", "output": "A", "y_true": 0, "y_pred": 0} |
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{"index": 3590, "category": "TableVQABench", "label": "B", "output": "B", "y_true": 1, "y_pred": 1} |
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{"index": 3600, "category": "TableVQABench", "label": "D", "output": "D", "y_true": 3, "y_pred": 3} |
|
{"index": 3612, "category": "TableVQABench", "label": "D", "output": "B", "y_true": 3, "y_pred": 1} |
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{"index": 3623, "category": "TableVQABench", "label": "C", "output": "A", "y_true": 2, "y_pred": 0} |
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{"index": 3634, "category": "TableVQABench", "label": "B", "output": "C", "y_true": 1, "y_pred": 2} |
|
{"index": 3646, "category": "TableVQABench", "label": "B", "output": "A", "y_true": 1, "y_pred": 0} |
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{"index": 3657, "category": "TableVQABench", "label": "B", "output": "C", "y_true": 1, "y_pred": 2} |
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{"index": 3670, "category": "TableVQABench", "label": "C", "output": "C", "y_true": 2, "y_pred": 2} |
|
{"index": 3682, "category": "TableVQABench", "label": "C", "output": "B", "y_true": 2, "y_pred": 1} |
|
{"index": 3694, "category": "TableVQABench", "label": "C", "output": "C", "y_true": 2, "y_pred": 2} |
|
{"index": 3705, "category": "TableVQABench", "label": "B", "output": "C", "y_true": 1, "y_pred": 2} |
|
{"index": 3715, "category": "TableVQABench", "label": "A", "output": "A", "y_true": 0, "y_pred": 0} |
|
{"index": 3726, "category": "TableVQABench", "label": "D", "output": "A", "y_true": 3, "y_pred": 0} |
|
{"index": 3736, "category": "TableVQABench", "label": "A", "output": "B", "y_true": 0, "y_pred": 1} |
|
{"index": 3746, "category": "TableVQABench", "label": "B", "output": "D", "y_true": 1, "y_pred": 3} |
|
{"index": 3756, "category": "TableVQABench", "label": "C", "output": "A", "y_true": 2, "y_pred": 0} |
|
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