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curriculum_1_docvqa_single_augmented
{ "ground_truth": "0" }
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Try to use tools to get the correct orientation, and report the image index of the correct one (0 is the original image, index starts from 0). The answer should be an integer. For example, if you rotate the image and it becomes correct at image 1, answer: <answer>1</answer>", "question_id": 7160 }
[ { "content": "You are a helpful assistant.\n\n# Tools\nYou may call one or more functions to assist with the user query.\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>\n{\"type\":\"function\",\"function\":{\"name\":\"image_zoom_in_tool\",\"description\":\"Zoom in on a specific region of an image by cropping it based on a bounding box (bbox) and an optional object label.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"bbox_2d\":{\"type\":\"array\",\"items\":{\"type\":\"number\"},\"minItems\":4,\"maxItems\":4,\"description\":\"The bounding box of the region to zoom in, as [x1, y1, x2, y2], where (x1, y1) is the top-left corner and (x2, y2) is the bottom-right corner.\"},\"label\":{\"type\":\"string\",\"description\":\"The name or label of the object in the specified bounding box (optional).\"}},\"required\":[\"bbox\"]}}}\n</tools>\n\n# How to call a tool\nReturn a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call>\n\n**Example**: \n<tool_call> \n{\"name\": \"image_zoom_in_tool\", \"arguments\": {\"bbox_2d\": [10, 20, 100, 200], \"label\": \"the apple on the desk\"}} \n</tool_call>", "role": "system" }, { "content": "<image>\nThis is the image. Try to use tools to get the correct orientation, and report the image index of the correct one (0 is the original image, index starts from 0). The answer should be an integer. For example, if you rotate the image and it becomes correct at image 1, answer: <answer>1</answer>\nThink first, call **image_zoom_in_tool** if needed, then answer. Format strictly as: <think>...</think> <tool_call>...</tool_call> (if tools needed) <answer>...</answer> ", "role": "user" } ]
curriculum_1_docvqa_single_temporal
visual_toolbox_v2
curriculum_1_docvqa_single_augmented
{ "ground_truth": "2" }
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Report which image index shows the correct orientation (0 is the original image, index starts from 0). Answer should be an int. Example: if correct at image 1, write: <answer>1</answer>", "question_id": 7160 }
[ { "content": "You are a helpful assistant.\n\n# Tools\nYou may call one or more functions to assist with the user query.\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>\n{\"type\":\"function\",\"function\":{\"name\":\"image_zoom_in_tool\",\"description\":\"Zoom in on a specific region of an image by cropping it based on a bounding box (bbox) and an optional object label.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"bbox_2d\":{\"type\":\"array\",\"items\":{\"type\":\"number\"},\"minItems\":4,\"maxItems\":4,\"description\":\"The bounding box of the region to zoom in, as [x1, y1, x2, y2], where (x1, y1) is the top-left corner and (x2, y2) is the bottom-right corner.\"},\"label\":{\"type\":\"string\",\"description\":\"The name or label of the object in the specified bounding box (optional).\"}},\"required\":[\"bbox\"]}}}\n</tools>\n\n# How to call a tool\nReturn a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call>\n\n**Example**: \n<tool_call> \n{\"name\": \"image_zoom_in_tool\", \"arguments\": {\"bbox_2d\": [10, 20, 100, 200], \"label\": \"the apple on the desk\"}} \n</tool_call>", "role": "system" }, { "content": "<image>\nUse rotation and flip tools to correct this image orientation. Report which image index shows the correct orientation (0 is the original image, index starts from 0). Answer should be an int. Example: if correct at image 1, write: <answer>1</answer>\nThink first, call **image_zoom_in_tool** if needed, then answer. Format strictly as: <think>...</think> <tool_call>...</tool_call> (if tools needed) <answer>...</answer> ", "role": "user" } ]
curriculum_1_docvqa_single_temporal_flip_h_rot180
visual_toolbox_v2
curriculum_1_docvqa_single_augmented
{ "ground_truth": "1" }
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Tell me the image index where orientation is correct (0 is the original image, index starts from 0). Answer as an integer. For instance, if correct at image 2, answer: <answer>2</answer>", "question_id": 7160 }
[ { "content": "You are a helpful assistant.\n\n# Tools\nYou may call one or more functions to assist with the user query.\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>\n{\"type\":\"function\",\"function\":{\"name\":\"image_zoom_in_tool\",\"description\":\"Zoom in on a specific region of an image by cropping it based on a bounding box (bbox) and an optional object label.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"bbox_2d\":{\"type\":\"array\",\"items\":{\"type\":\"number\"},\"minItems\":4,\"maxItems\":4,\"description\":\"The bounding box of the region to zoom in, as [x1, y1, x2, y2], where (x1, y1) is the top-left corner and (x2, y2) is the bottom-right corner.\"},\"label\":{\"type\":\"string\",\"description\":\"The name or label of the object in the specified bounding box (optional).\"}},\"required\":[\"bbox\"]}}}\n</tools>\n\n# How to call a tool\nReturn a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call>\n\n**Example**: \n<tool_call> \n{\"name\": \"image_zoom_in_tool\", \"arguments\": {\"bbox_2d\": [10, 20, 100, 200], \"label\": \"the apple on the desk\"}} \n</tool_call>", "role": "system" }, { "content": "<image>\nCorrect the image orientation using available tools. Tell me the image index where orientation is correct (0 is the original image, index starts from 0). Answer as an integer. For instance, if correct at image 2, answer: <answer>2</answer>\nThink first, call **image_zoom_in_tool** if needed, then answer. Format strictly as: <think>...</think> <tool_call>...</tool_call> (if tools needed) <answer>...</answer> ", "role": "user" } ]
curriculum_1_docvqa_single_temporal_flip_h
visual_toolbox_v2
curriculum_1_docvqa_single_augmented
{ "ground_truth": "0" }
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Anton, Ralston Purina Co.", "words": [ { "bounding_box": [ 375, 239, 417, 238, 417, 268, 376, 269 ], "confidence": null, "text": "J." }, { "bounding_box": [ 433, 238, 562, 238, 561, 267, 433, 268 ], "confidence": null, "text": "Anton," }, { "bounding_box": [ 577, 238, 718, 239, 717, 267, 577, 267 ], "confidence": null, "text": "Ralston" }, { "bounding_box": [ 738, 239, 862, 240, 861, 269, 737, 268 ], "confidence": "Low", "text": "Purina" }, { "bounding_box": [ 880, 240, 942, 241, 940, 269, 879, 269 ], "confidence": null, "text": "Co." } ] }, { "bounding_box": [ 371, 305, 1370, 306, 1369, 341, 370, 339 ], "text": "On the basis of protein yield per acre, soy beans", "words": [ { "bounding_box": [ 373, 305, 411, 305, 411, 337, 373, 337 ], "confidence": null, "text": "On" }, { "bounding_box": [ 434, 305, 495, 306, 495, 338, 434, 338 ], "confidence": null, "text": "the" }, { "bounding_box": [ 512, 306, 617, 306, 617, 340, 512, 339 ], "confidence": null, "text": "basis" }, { "bounding_box": [ 636, 307, 680, 307, 680, 340, 636, 340 ], "confidence": null, "text": "of" }, { "bounding_box": [ 695, 307, 837, 307, 838, 341, 695, 340 ], "confidence": null, "text": "protein" }, { "bounding_box": [ 858, 307, 961, 308, 962, 341, 859, 341 ], "confidence": null, "text": "yield" }, { "bounding_box": [ 978, 308, 1043, 308, 1044, 340, 979, 341 ], "confidence": null, "text": "per" }, { "bounding_box": [ 1062, 308, 1169, 308, 1170, 339, 1063, 340 ], "confidence": null, "text": "acre," }, { "bounding_box": [ 1184, 308, 1245, 308, 1246, 339, 1185, 339 ], "confidence": null, "text": "soy" }, { "bounding_box": [ 1262, 308, 1369, 308, 1370, 337, 1263, 338 ], "confidence": null, "text": "beans" } ] }, { "bounding_box": [ 268, 338, 1459, 337, 1460, 372, 269, 373 ], "text": "far out produce other sources; beef is the least efficient.", "words": [ { "bounding_box": [ 274, 339, 333, 340, 333, 371, 273, 371 ], "confidence": null, "text": "far" }, { "bounding_box": [ 352, 340, 416, 340, 415, 372, 352, 371 ], "confidence": null, "text": "out" }, { "bounding_box": [ 432, 340, 576, 341, 576, 373, 432, 372 ], "confidence": null, "text": "produce" }, { "bounding_box": [ 596, 341, 699, 341, 699, 374, 596, 373 ], "confidence": null, "text": "other" }, { "bounding_box": [ 719, 341, 884, 341, 884, 374, 719, 374 ], "confidence": null, "text": "sources;" }, { "bounding_box": [ 896, 341, 982, 341, 983, 374, 896, 374 ], "confidence": null, "text": "beef" }, { "bounding_box": [ 1003, 341, 1042, 340, 1042, 374, 1003, 374 ], "confidence": null, "text": "is" }, { "bounding_box": [ 1062, 340, 1122, 340, 1122, 373, 1063, 374 ], "confidence": null, "text": "the" }, { "bounding_box": [ 1144, 340, 1245, 340, 1246, 373, 1145, 373 ], "confidence": null, "text": "least" }, { "bounding_box": [ 1263, 339, 1458, 338, 1459, 371, 1264, 373 ], "confidence": null, "text": "efficient." } ] }, { "bounding_box": [ 264, 371, 1400, 374, 1399, 407, 263, 404 ], "text": "The 1974 market was 700 million lbs of which 42: was soy", "words": [ { "bounding_box": [ 272, 372, 331, 372, 331, 403, 272, 402 ], "confidence": null, "text": "The" }, { "bounding_box": [ 354, 372, 435, 373, 435, 404, 355, 403 ], "confidence": null, "text": "1974" }, { "bounding_box": [ 448, 373, 576, 373, 576, 405, 449, 404 ], "confidence": null, "text": "market" }, { "bounding_box": [ 593, 373, 658, 373, 658, 406, 594, 405 ], "confidence": null, "text": "was" }, { "bounding_box": [ 680, 373, 736, 373, 737, 406, 680, 406 ], "confidence": null, "text": "700" }, { "bounding_box": [ 754, 373, 897, 373, 897, 407, 754, 406 ], "confidence": null, "text": "million" }, { "bounding_box": [ 921, 373, 981, 374, 981, 407, 921, 407 ], "confidence": "Low", "text": "lbs" }, { "bounding_box": [ 999, 374, 1044, 374, 1044, 407, 999, 407 ], "confidence": null, "text": "of" }, { "bounding_box": [ 1060, 374, 1159, 374, 1160, 407, 1060, 407 ], "confidence": null, "text": "which" }, { "bounding_box": [ 1187, 374, 1246, 374, 1246, 407, 1187, 407 ], "confidence": "Low", "text": "42:" }, { "bounding_box": [ 1261, 374, 1326, 374, 1326, 406, 1262, 407 ], "confidence": null, "text": "was" }, { "bounding_box": [ 1348, 374, 1400, 374, 1401, 406, 1348, 406 ], "confidence": null, "text": "soy" } ] }, { "bounding_box": [ 267, 402, 1307, 403, 1306, 440, 266, 439 ], "text": "flour and 20% structured protein applications. The", "words": [ { "bounding_box": [ 273, 403, 372, 405, 372, 437, 274, 436 ], "confidence": null, "text": "flour" }, { "bounding_box": [ 393, 405, 454, 406, 454, 439, 393, 438 ], "confidence": null, "text": "and" }, { "bounding_box": [ 475, 406, 538, 407, 538, 440, 475, 439 ], "confidence": null, "text": "20%" }, { "bounding_box": [ 557, 407, 760, 408, 760, 441, 557, 440 ], "confidence": null, "text": "structured" }, { "bounding_box": [ 775, 408, 918, 407, 918, 441, 775, 441 ], "confidence": null, "text": "protein" }, { "bounding_box": [ 941, 407, 1210, 405, 1209, 438, 941, 441 ], "confidence": null, "text": "applications." }, { "bounding_box": [ 1243, 404, 1304, 403, 1304, 437, 1243, 438 ], "confidence": null, "text": "The" } ] }, { "bounding_box": [ 269, 437, 1373, 438, 1372, 474, 268, 473 ], "text": "1974 production of soy protein replaced 1.9 x 10 cows", "words": [ { "bounding_box": [ 273, 438, 355, 439, 355, 472, 274, 471 ], "confidence": null, "text": "1974" }, { "bounding_box": [ 370, 439, 574, 440, 575, 474, 371, 472 ], "confidence": null, "text": "production" }, { "bounding_box": [ 593, 440, 640, 440, 641, 474, 594, 474 ], "confidence": null, "text": "of" }, { "bounding_box": [ 657, 440, 718, 440, 719, 475, 659, 474 ], "confidence": null, "text": "soy" }, { "bounding_box": [ 735, 440, 878, 440, 880, 475, 736, 475 ], "confidence": null, "text": "protein" }, { "bounding_box": [ 900, 440, 1063, 439, 1065, 474, 902, 475 ], "confidence": null, "text": "replaced" }, { "bounding_box": [ 1082, 439, 1145, 439, 1147, 474, 1084, 474 ], "confidence": null, "text": "1.9" }, { "bounding_box": [ 1160, 439, 1181, 439, 1183, 473, 1162, 473 ], "confidence": null, "text": "x" }, { "bounding_box": [ 1205, 439, 1246, 439, 1248, 473, 1207, 473 ], "confidence": null, "text": "10" }, { "bounding_box": [ 1284, 438, 1368, 438, 1370, 471, 1287, 472 ], "confidence": null, "text": "cows" } ] }, { "bounding_box": [ 269, 470, 1389, 472, 1388, 508, 268, 507 ], "text": "or 3.98 x 10 hogs. In only a few years Anton predicts", "words": [ { "bounding_box": [ 271, 471, 314, 471, 315, 506, 272, 505 ], "confidence": null, "text": "or" }, { "bounding_box": [ 332, 471, 415, 471, 416, 507, 333, 506 ], "confidence": null, "text": "3.98" }, { "bounding_box": [ 431, 471, 453, 472, 454, 507, 432, 507 ], "confidence": null, "text": "x" }, { "bounding_box": [ 476, 472, 516, 472, 517, 507, 477, 507 ], "confidence": null, "text": "10" }, { "bounding_box": [ 552, 472, 662, 472, 663, 508, 553, 508 ], "confidence": null, "text": "hogs." }, { "bounding_box": [ 698, 472, 737, 472, 738, 509, 699, 508 ], "confidence": null, "text": "In" }, { "bounding_box": [ 757, 472, 840, 472, 841, 509, 758, 509 ], "confidence": null, "text": "only" }, { "bounding_box": [ 858, 472, 881, 473, 882, 509, 859, 509 ], "confidence": null, "text": "a" }, { "bounding_box": [ 901, 473, 959, 473, 960, 509, 902, 509 ], "confidence": null, "text": "few" }, { "bounding_box": [ 980, 473, 1083, 473, 1084, 508, 981, 509 ], "confidence": null, "text": "years" }, { "bounding_box": [ 1101, 473, 1202, 473, 1203, 508, 1102, 508 ], "confidence": null, "text": "Anton" }, { "bounding_box": [ 1220, 473, 1387, 473, 1388, 506, 1221, 508 ], "confidence": null, "text": "predicts" } ] }, { "bounding_box": [ 269, 504, 1379, 505, 1378, 541, 268, 541 ], "text": "this will run to 4.1 x 10 cattle and 6. 44 x 10 swine.", "words": [ { "bounding_box": [ 272, 507, 357, 506, 356, 542, 271, 542 ], "confidence": null, "text": "this" }, { "bounding_box": [ 368, 506, 458, 506, 458, 542, 368, 542 ], "confidence": null, "text": "will" }, { "bounding_box": [ 474, 506, 537, 506, 536, 542, 474, 542 ], "confidence": null, "text": "run" }, { "bounding_box": [ 555, 506, 596, 505, 596, 542, 555, 542 ], "confidence": null, "text": "to" }, { "bounding_box": [ 617, 505, 682, 505, 681, 542, 617, 542 ], "confidence": null, "text": "4.1" }, { "bounding_box": [ 696, 505, 719, 505, 718, 542, 695, 542 ], "confidence": null, "text": "x" }, { "bounding_box": [ 742, 505, 783, 505, 783, 542, 741, 542 ], "confidence": "Low", "text": "10" }, { "bounding_box": [ 820, 505, 942, 506, 942, 542, 820, 542 ], "confidence": null, "text": "cattle" }, { "bounding_box": [ 961, 506, 1025, 506, 1025, 542, 961, 542 ], "confidence": null, "text": "and" }, { "bounding_box": [ 1043, 506, 1078, 506, 1078, 541, 1044, 541 ], "confidence": null, "text": "6." }, { "bounding_box": [ 1085, 506, 1126, 506, 1127, 541, 1085, 541 ], "confidence": null, "text": "44" }, { "bounding_box": [ 1140, 506, 1163, 506, 1163, 541, 1140, 541 ], "confidence": null, "text": "x" }, { "bounding_box": [ 1186, 506, 1228, 507, 1228, 541, 1187, 541 ], "confidence": null, "text": "10" }, { "bounding_box": [ 1265, 507, 1378, 508, 1378, 541, 1265, 541 ], "confidence": null, "text": "swine." } ] }, { "bounding_box": [ 265, 539, 1368, 540, 1368, 575, 264, 574 ], "text": "These predictions call for a 350% growth by 1980 equal", "words": [ { "bounding_box": [ 272, 541, 373, 541, 373, 574, 272, 574 ], "confidence": null, "text": "These" }, { "bounding_box": [ 390, 541, 618, 541, 618, 575, 390, 574 ], "confidence": null, "text": "predictions" }, { "bounding_box": [ 638, 541, 721, 541, 721, 575, 637, 575 ], "confidence": null, "text": "call" }, { "bounding_box": [ 739, 541, 801, 541, 801, 575, 738, 575 ], "confidence": null, "text": "for" }, { "bounding_box": [ 820, 541, 842, 541, 842, 575, 820, 575 ], "confidence": null, "text": "a" }, { "bounding_box": [ 861, 541, 941, 541, 941, 575, 861, 575 ], "confidence": "Low", "text": "350%" }, { "bounding_box": [ 960, 541, 1080, 540, 1080, 575, 960, 575 ], "confidence": null, "text": "growth" }, { "bounding_box": [ 1100, 540, 1143, 540, 1143, 575, 1100, 575 ], "confidence": null, "text": "by" }, { "bounding_box": [ 1164, 540, 1246, 540, 1246, 575, 1164, 575 ], "confidence": null, "text": "1980" }, { "bounding_box": [ 1263, 540, 1366, 540, 1366, 575, 1263, 575 ], "confidence": null, "text": "equal" } ] }, { "bounding_box": [ 273, 572, 817, 575, 816, 610, 272, 606 ], "text": "to a 2.4 billion 1b market.", "words": [ { "bounding_box": [ 275, 575, 312, 575, 312, 607, 275, 607 ], "confidence": null, "text": "to" }, { "bounding_box": [ 333, 575, 354, 575, 354, 607, 333, 607 ], "confidence": null, "text": "a" }, { "bounding_box": [ 375, 574, 437, 574, 437, 607, 375, 607 ], "confidence": null, "text": "2.4" }, { "bounding_box": [ 452, 574, 595, 575, 595, 608, 451, 607 ], "confidence": null, "text": "billion" }, { "bounding_box": [ 618, 575, 655, 575, 655, 608, 618, 608 ], "confidence": "Low", "text": "1b" }, { "bounding_box": [ 674, 576, 816, 578, 815, 611, 674, 609 ], "confidence": null, "text": "market." } ] }, { "bounding_box": [ 268, 645, 300, 648, 299, 674, 268, 671 ], "text": "B.", "words": [ { "bounding_box": [ 271, 645, 300, 647, 298, 673, 268, 671 ], "confidence": null, "text": "B." } ] }, { "bounding_box": [ 370, 641, 1326, 644, 1325, 677, 369, 675 ], "text": "\"Marketing/Economic Aspects of New Whey Protein", "words": [ { "bounding_box": [ 372, 642, 760, 644, 760, 677, 372, 676 ], "confidence": null, "text": "\"Marketing/Economic" }, { "bounding_box": [ 775, 644, 921, 645, 922, 677, 776, 677 ], "confidence": null, "text": "Aspects" }, { "bounding_box": [ 937, 645, 984, 645, 984, 677, 937, 677 ], "confidence": null, "text": "of" }, { "bounding_box": [ 997, 645, 1060, 645, 1061, 677, 998, 677 ], "confidence": null, "text": "New" }, { "bounding_box": [ 1078, 645, 1163, 645, 1164, 677, 1078, 677 ], "confidence": null, "text": "Whey" }, { "bounding_box": [ 1181, 645, 1324, 644, 1325, 677, 1182, 677 ], "confidence": null, "text": "Protein" } ] }, { "bounding_box": [ 368, 676, 1346, 678, 1345, 711, 367, 710 ], "text": "Ventures\", M.J. Pallansch, Ag. Research Service,", "words": [ { "bounding_box": [ 370, 677, 580, 678, 581, 710, 371, 709 ], "confidence": "Low", "text": "Ventures\"," }, { "bounding_box": [ 593, 678, 680, 678, 681, 711, 593, 711 ], "confidence": "Low", "text": "M.J." }, { "bounding_box": [ 693, 678, 903, 679, 904, 711, 694, 711 ], "confidence": null, "text": "Pallansch," }, { "bounding_box": [ 916, 679, 982, 679, 983, 711, 917, 711 ], "confidence": null, "text": "Ag." }, { "bounding_box": [ 997, 679, 1160, 680, 1161, 711, 998, 711 ], "confidence": null, "text": "Research" }, { "bounding_box": [ 1182, 680, 1344, 680, 1345, 710, 1182, 711 ], "confidence": null, "text": "Service," } ] }, { "bounding_box": [ 1354, 677, 1446, 675, 1447, 706, 1355, 707 ], "text": "USDA", "words": [ { "bounding_box": [ 1361, 678, 1444, 676, 1445, 706, 1363, 708 ], "confidence": null, "text": "USDA" } ] }, { "bounding_box": [ 366, 742, 1382, 742, 1382, 777, 367, 778 ], "text": "The cheese industry produces some 20-25 x 109 1bs.", "words": [ { "bounding_box": [ 373, 745, 432, 745, 432, 776, 374, 776 ], "confidence": null, "text": "The" }, { "bounding_box": [ 452, 745, 574, 746, 574, 777, 452, 776 ], "confidence": null, "text": "cheese" }, { "bounding_box": [ 596, 746, 757, 746, 757, 778, 596, 778 ], "confidence": null, "text": "industry" }, { "bounding_box": [ 775, 746, 939, 745, 939, 779, 775, 778 ], "confidence": null, "text": "produces" }, { "bounding_box": [ 959, 745, 1040, 745, 1040, 779, 959, 779 ], "confidence": null, "text": "some" }, { "bounding_box": [ 1062, 745, 1162, 744, 1162, 779, 1062, 779 ], "confidence": null, "text": "20-25" }, { "bounding_box": [ 1182, 744, 1202, 744, 1202, 778, 1182, 778 ], "confidence": null, "text": "x" }, { "bounding_box": [ 1224, 744, 1287, 743, 1286, 778, 1224, 778 ], "confidence": "Low", "text": "109" }, { "bounding_box": [ 1305, 743, 1381, 742, 1380, 778, 1304, 778 ], "confidence": "Low", "text": "1bs." } ] }, { "bounding_box": [ 266, 779, 1223, 778, 1224, 811, 267, 812 ], "text": "per annum of whey. The general composition is;", "words": [ { "bounding_box": [ 269, 784, 329, 783, 329, 811, 270, 811 ], "confidence": null, "text": "per" }, { "bounding_box": [ 353, 783, 448, 781, 449, 812, 354, 811 ], "confidence": null, "text": "annum" }, { "bounding_box": [ 473, 781, 513, 781, 514, 812, 473, 812 ], "confidence": null, "text": "of" }, { "bounding_box": [ 531, 780, 638, 780, 638, 812, 531, 812 ], "confidence": null, "text": "whey." }, { "bounding_box": [ 679, 779, 735, 779, 735, 812, 679, 812 ], "confidence": null, "text": "The" }, { "bounding_box": [ 758, 779, 899, 779, 898, 812, 758, 812 ], "confidence": null, "text": "general" }, { "bounding_box": [ 920, 779, 1140, 780, 1139, 811, 919, 812 ], "confidence": null, "text": "composition" }, { "bounding_box": [ 1165, 780, 1225, 781, 1223, 811, 1163, 811 ], "confidence": "Low", "text": "is;" } ] }, { "bounding_box": [ 268, 844, 567, 852, 566, 887, 267, 878 ], "text": "Ingredient", "words": [ { "bounding_box": [ 273, 849, 474, 850, 474, 882, 274, 878 ], "confidence": null, "text": "Ingredient" } ] }, { "bounding_box": [ 761, 844, 1007, 846, 1006, 884, 760, 881 ], "text": "As Is Whey", "words": [ { "bounding_box": [ 776, 847, 819, 846, 818, 879, 776, 879 ], "confidence": null, "text": "As" }, { "bounding_box": [ 840, 846, 880, 846, 879, 879, 839, 879 ], "confidence": null, "text": "Is" }, { "bounding_box": [ 897, 846, 980, 847, 977, 883, 895, 880 ], "confidence": null, "text": "Whey" } ] }, { "bounding_box": [ 1196, 843, 1409, 844, 1408, 879, 1195, 878 ], "text": "Dried Whey", "words": [ { "bounding_box": [ 1201, 844, 1307, 845, 1308, 880, 1202, 878 ], "confidence": null, "text": "Dried" }, { "bounding_box": [ 1321, 845, 1407, 844, 1407, 880, 1322, 880 ], "confidence": null, "text": "Whey" } ] }, { "bounding_box": [ 266, 914, 372, 916, 371, 946, 265, 943 ], "text": "Water", "words": [ { "bounding_box": [ 270, 914, 371, 917, 371, 946, 270, 944 ], "confidence": null, "text": "Water" } ] }, { "bounding_box": [ 808, 911, 920, 915, 919, 945, 806, 941 ], "text": "93. 18", "words": [ { "bounding_box": [ 817, 912, 876, 914, 876, 944, 818, 942 ], "confidence": "Low", "text": "93." }, { "bounding_box": [ 882, 914, 918, 915, 918, 946, 881, 945 ], "confidence": "Low", "text": "18" } ] }, { "bounding_box": [ 266, 948, 410, 950, 409, 979, 265, 977 ], "text": "Lactose", "words": [ { "bounding_box": [ 270, 949, 410, 951, 409, 979, 270, 978 ], "confidence": null, "text": "Lactose" } ] }, { "bounding_box": [ 685, 956, 774, 955, 773, 986, 684, 987 ], "text": "bool", "words": [ { "bounding_box": [ 693, 955, 772, 955, 772, 985, 694, 986 ], "confidence": "Low", "text": "bool" } ] }, { "bounding_box": [ 831, 948, 921, 947, 922, 978, 832, 979 ], "text": "4.9%", "words": [ { "bounding_box": [ 840, 950, 922, 949, 921, 979, 840, 980 ], "confidence": "Low", "text": "4.9%" } ] }, { "bounding_box": [ 1263, 946, 1364, 945, 1365, 977, 1263, 978 ], "text": "71. 28", "words": [ { "bounding_box": [ 1267, 946, 1319, 946, 1319, 978, 1268, 978 ], "confidence": null, "text": "71." }, { "bounding_box": [ 1325, 946, 1364, 946, 1364, 978, 1326, 978 ], "confidence": null, "text": "28" } ] }, { "bounding_box": [ 262, 982, 418, 986, 417, 1015, 261, 1010 ], "text": "Protein", "words": [ { "bounding_box": [ 270, 983, 412, 986, 411, 1014, 270, 1012 ], "confidence": null, "text": "Protein" } ] }, { "bounding_box": [ 835, 983, 924, 982, 925, 1012, 835, 1013 ], "text": "0. 98", "words": [ { "bounding_box": [ 838, 981, 873, 981, 874, 1012, 839, 1012 ], "confidence": null, "text": "0." }, { "bounding_box": [ 880, 981, 921, 981, 921, 1012, 880, 1012 ], "confidence": null, "text": "98" } ] }, { "bounding_box": [ 1258, 982, 1368, 979, 1369, 1010, 1259, 1013 ], "text": "12.9%", "words": [ { "bounding_box": [ 1266, 982, 1368, 981, 1366, 1012, 1265, 1013 ], "confidence": "Low", "text": "12.9%" } ] }, { "bounding_box": [ 264, 1014, 472, 1017, 471, 1049, 263, 1046 ], "text": "Milk Salts", "words": [ { "bounding_box": [ 269, 1014, 351, 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Because the technology is complicated,", "words": [ { "bounding_box": [ 277, 1726, 376, 1726, 377, 1758, 278, 1757 ], "confidence": null, "text": "foods" }, { "bounding_box": [ 396, 1727, 457, 1727, 458, 1759, 397, 1758 ], "confidence": null, "text": "and" }, { "bounding_box": [ 499, 1727, 536, 1727, 537, 1760, 500, 1759 ], "confidence": null, "text": "in" }, { "bounding_box": [ 562, 1727, 686, 1728, 686, 1761, 563, 1760 ], "confidence": null, "text": "feeds." }, { "bounding_box": [ 718, 1728, 862, 1728, 863, 1762, 719, 1761 ], "confidence": null, "text": "Because" }, { "bounding_box": [ 886, 1728, 943, 1728, 944, 1762, 887, 1762 ], "confidence": null, "text": "the" }, { "bounding_box": [ 965, 1728, 1165, 1728, 1166, 1762, 966, 1762 ], "confidence": null, "text": "technology" }, { "bounding_box": [ 1190, 1728, 1228, 1728, 1229, 1762, 1190, 1762 ], "confidence": null, "text": "is" }, { "bounding_box": [ 1248, 1728, 1483, 1728, 1484, 1760, 1249, 1762 ], "confidence": null, "text": "complicated," } ] }, { "bounding_box": [ 277, 1761, 1404, 1763, 1403, 1795, 276, 1793 ], "text": "only Astra Nutrition presently has a viable FPC program.", "words": [ { "bounding_box": [ 277, 1763, 354, 1763, 354, 1793, 277, 1793 ], "confidence": null, "text": "only" }, { "bounding_box": [ 377, 1763, 479, 1763, 479, 1794, 377, 1793 ], "confidence": null, "text": "Astra" }, { "bounding_box": [ 496, 1763, 679, 1763, 679, 1795, 496, 1794 ], "confidence": null, "text": "Nutrition" }, { "bounding_box": [ 700, 1763, 883, 1763, 883, 1795, 700, 1795 ], "confidence": null, "text": "presently" }, { "bounding_box": [ 902, 1763, 966, 1763, 965, 1795, 902, 1795 ], "confidence": null, "text": "has" }, { "bounding_box": [ 987, 1763, 1006, 1763, 1006, 1795, 987, 1795 ], "confidence": null, "text": "a" }, { "bounding_box": [ 1025, 1763, 1147, 1764, 1146, 1795, 1025, 1795 ], "confidence": null, "text": "viable" }, { "bounding_box": [ 1168, 1764, 1227, 1764, 1227, 1796, 1168, 1795 ], "confidence": null, "text": "FPC" }, { "bounding_box": [ 1249, 1764, 1404, 1765, 1404, 1795, 1248, 1795 ], "confidence": null, "text": "program." } ] }, { "bounding_box": [ 275, 1795, 1476, 1796, 1475, 1829, 274, 1828 ], "text": "They have made some 9000 1b. of the product in Sweden where", "words": [ { "bounding_box": [ 277, 1796, 354, 1796, 355, 1827, 277, 1826 ], "confidence": null, "text": "They" }, { "bounding_box": [ 374, 1796, 455, 1796, 456, 1828, 374, 1827 ], "confidence": null, "text": "have" }, { "bounding_box": [ 475, 1796, 558, 1796, 559, 1828, 475, 1828 ], "confidence": null, "text": "made" }, { "bounding_box": [ 580, 1796, 659, 1796, 660, 1829, 581, 1828 ], "confidence": null, "text": "some" }, { "bounding_box": [ 683, 1796, 762, 1797, 763, 1829, 684, 1829 ], "confidence": null, "text": "9000" }, { "bounding_box": [ 784, 1797, 846, 1797, 847, 1829, 785, 1829 ], "confidence": "Low", "text": "1b." }, { "bounding_box": [ 863, 1797, 904, 1797, 905, 1829, 865, 1829 ], "confidence": null, "text": "of" }, { "bounding_box": [ 925, 1797, 984, 1797, 985, 1829, 927, 1829 ], "confidence": null, "text": "the" }, { "bounding_box": [ 1003, 1797, 1149, 1796, 1151, 1829, 1005, 1829 ], "confidence": null, "text": "product" }, { "bounding_box": [ 1170, 1796, 1205, 1796, 1207, 1828, 1172, 1829 ], "confidence": null, "text": "in" }, { "bounding_box": [ 1228, 1796, 1347, 1796, 1349, 1827, 1230, 1828 ], "confidence": null, "text": "Sweden" }, { "bounding_box": [ 1368, 1796, 1469, 1796, 1472, 1826, 1370, 1827 ], "confidence": null, "text": "where" } ] }, { "bounding_box": [ 276, 1828, 1433, 1827, 1434, 1862, 277, 1863 ], "text": "there are adequate supplies of economical fresh fish. It", "words": [ { "bounding_box": [ 279, 1830, 375, 1831, 375, 1861, 279, 1861 ], "confidence": null, "text": "there" }, { "bounding_box": [ 399, 1831, 456, 1831, 457, 1862, 399, 1862 ], "confidence": null, "text": "are" }, { "bounding_box": [ 480, 1831, 640, 1832, 640, 1863, 481, 1862 ], "confidence": null, "text": "adequate" }, { "bounding_box": [ 662, 1832, 823, 1831, 824, 1863, 662, 1863 ], "confidence": null, "text": "supplies" }, { "bounding_box": [ 843, 1831, 887, 1831, 888, 1863, 844, 1863 ], "confidence": null, "text": "of" }, { "bounding_box": [ 903, 1831, 1109, 1830, 1109, 1863, 904, 1863 ], "confidence": null, "text": "economical" }, { "bounding_box": [ 1131, 1830, 1226, 1830, 1227, 1863, 1131, 1863 ], "confidence": null, "text": "fresh" }, { "bounding_box": [ 1252, 1830, 1356, 1829, 1357, 1862, 1253, 1863 ], "confidence": null, "text": "fish." }, { "bounding_box": [ 1392, 1828, 1434, 1828, 1434, 1861, 1392, 1862 ], "confidence": null, "text": "It" } ] }, { "bounding_box": [ 278, 1861, 1447, 1862, 1446, 1896, 277, 1895 ], "text": "sells in Sweden for 664 1b. and in the USA at 74+ 1b. at a", "words": [ { "bounding_box": [ 278, 1863, 377, 1863, 378, 1894, 278, 1894 ], "confidence": null, "text": "sells" }, { "bounding_box": [ 399, 1863, 435, 1863, 435, 1895, 399, 1895 ], "confidence": null, "text": "in" }, { "bounding_box": [ 457, 1863, 578, 1863, 579, 1895, 457, 1895 ], "confidence": null, "text": "Sweden" }, { "bounding_box": [ 602, 1863, 662, 1863, 662, 1896, 603, 1896 ], "confidence": null, "text": "for" }, { "bounding_box": [ 682, 1863, 743, 1863, 744, 1896, 682, 1896 ], "confidence": "Low", "text": "664" }, { "bounding_box": [ 765, 1863, 827, 1863, 828, 1896, 766, 1896 ], "confidence": "Low", "text": "1b." }, { "bounding_box": [ 845, 1863, 905, 1863, 905, 1896, 846, 1896 ], "confidence": null, "text": "and" }, { "bounding_box": [ 925, 1863, 962, 1863, 963, 1896, 925, 1896 ], "confidence": null, "text": "in" }, { "bounding_box": [ 986, 1863, 1044, 1863, 1045, 1896, 987, 1896 ], "confidence": null, "text": "the" }, { "bounding_box": [ 1064, 1863, 1126, 1862, 1127, 1896, 1065, 1896 ], "confidence": null, "text": "USA" }, { "bounding_box": [ 1148, 1862, 1189, 1862, 1190, 1896, 1148, 1896 ], "confidence": null, "text": "at" }, { "bounding_box": [ 1211, 1862, 1271, 1862, 1272, 1896, 1212, 1896 ], "confidence": "Low", "text": "74+" }, { "bounding_box": [ 1293, 1862, 1355, 1862, 1356, 1896, 1294, 1896 ], "confidence": "Low", "text": "1b." }, { "bounding_box": [ 1373, 1862, 1412, 1862, 1413, 1895, 1374, 1896 ], "confidence": null, "text": "at" }, { "bounding_box": [ 1432, 1862, 1446, 1862, 1447, 1895, 1433, 1895 ], "confidence": null, "text": "a" } ] }, { "bounding_box": [ 269, 1895, 561, 1899, 561, 1933, 268, 1929 ], "text": "port of entry.", "words": [ { "bounding_box": [ 273, 1898, 359, 1897, 360, 1930, 274, 1930 ], "confidence": null, "text": "port" }, { "bounding_box": [ 376, 1898, 420, 1898, 420, 1930, 376, 1930 ], "confidence": null, "text": "of" }, { "bounding_box": [ 436, 1898, 560, 1902, 560, 1933, 437, 1930 ], "confidence": null, "text": "entry." } ] }, { "bounding_box": [ 383, 2154, 1315, 2153, 1315, 2190, 384, 2192 ], "text": "Source: https://www.industrydocuments.ucsf.edu/docs/fnlk0226", "words": [ { "bounding_box": [ 384, 2156, 496, 2157, 496, 2191, 384, 2190 ], "confidence": null, "text": "Source:" }, { "bounding_box": [ 503, 2157, 1315, 2153, 1314, 2190, 503, 2191 ], "confidence": "Low", "text": "https://www.industrydocuments.ucsf.edu/docs/fnlk0226" } ] } ], "page": 1, "unit": "pixel", "width": 1697 }, "original_question": "What is the page number of the document?", "original_question_id": 5019, "question": "Use rotation and flip tools to correct this image orientation. Report which image index shows the correct orientation (0 is the original image, index starts from 0). Answer should be an int. Example: if correct at image 2, write: <answer>2</answer>", "question_id": 5019 }
[ { "content": "You are a helpful assistant.\n\n# Tools\nYou may call one or more functions to assist with the user query.\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>\n{\"type\":\"function\",\"function\":{\"name\":\"image_zoom_in_tool\",\"description\":\"Zoom in on a specific region of an image by cropping it based on a bounding box (bbox) and an optional object label.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"bbox_2d\":{\"type\":\"array\",\"items\":{\"type\":\"number\"},\"minItems\":4,\"maxItems\":4,\"description\":\"The bounding box of the region to zoom in, as [x1, y1, x2, y2], where (x1, y1) is the top-left corner and (x2, y2) is the bottom-right corner.\"},\"label\":{\"type\":\"string\",\"description\":\"The name or label of the object in the specified bounding box (optional).\"}},\"required\":[\"bbox\"]}}}\n</tools>\n\n# How to call a tool\nReturn a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call>\n\n**Example**: \n<tool_call> \n{\"name\": \"image_zoom_in_tool\", \"arguments\": {\"bbox_2d\": [10, 20, 100, 200], \"label\": \"the apple on the desk\"}} \n</tool_call>", "role": "system" }, { "content": "<image>\nUse rotation and flip tools to correct this image orientation. Report which image index shows the correct orientation (0 is the original image, index starts from 0). Answer should be an int. Example: if correct at image 2, write: <answer>2</answer>\nThink first, call **image_zoom_in_tool** if needed, then answer. Format strictly as: <think>...</think> <tool_call>...</tool_call> (if tools needed) <answer>...</answer> ", "role": "user" } ]
curriculum_1_docvqa_single_numerical
visual_toolbox_v2
curriculum_1_docvqa_single_augmented
{ "ground_truth": "2" }
{ "all_answers": [ "Page 7", "7" ], "answer": "Page 7", "augmentation_index": 1, "augmentation_type": "flip_v+rot270", "augmentation_type_original": "flip_v+rot270", "curriculum_stage": 1, "data_split": "train", "doc_id": 1705, "has_original_ocr": true, "index": "docvqa_5019_aug1_flip_v_rot270", "ocr_results": { "clockwise_orientation": 0.09, "height": 2196, "lines": [ { "bounding_box": [ 1317, 69, 1443, 68, 1444, 97, 1317, 98 ], "text": "Page 7", "words": [ { "bounding_box": [ 1322, 69, 1401, 71, 1401, 97, 1323, 97 ], "confidence": null, "text": "Page" }, { "bounding_box": [ 1428, 70, 1442, 69, 1442, 94, 1428, 95 ], "confidence": null, "text": "7" } ] }, { "bounding_box": [ 272, 206, 308, 209, 305, 234, 269, 231 ], "text": "A.", "words": [ { "bounding_box": [ 274, 206, 307, 208, 305, 233, 272, 230 ], "confidence": null, "text": "A." } ] }, { "bounding_box": [ 368, 198, 1225, 200, 1224, 235, 367, 234 ], "text": "\"Soy Protein - The Protein of the Decade\",", "words": [ { "bounding_box": [ 374, 200, 454, 200, 454, 233, 374, 232 ], "confidence": null, "text": "\"Soy" }, { "bounding_box": [ 473, 200, 615, 201, 615, 234, 473, 233 ], "confidence": null, "text": "Protein" }, { "bounding_box": [ 637, 201, 658, 202, 658, 235, 637, 234 ], "confidence": null, "text": "-" }, { "bounding_box": [ 680, 202, 740, 202, 740, 235, 680, 235 ], "confidence": null, "text": "The" }, { "bounding_box": [ 757, 202, 899, 202, 899, 235, 757, 235 ], "confidence": null, "text": "Protein" }, { "bounding_box": [ 921, 202, 966, 202, 966, 235, 921, 235 ], "confidence": null, "text": "of" }, { "bounding_box": [ 983, 202, 1043, 201, 1043, 235, 983, 235 ], "confidence": null, "text": "the" }, { "bounding_box": [ 1061, 201, 1224, 200, 1224, 234, 1061, 235 ], "confidence": null, "text": "Decade\"," } ] }, { "bounding_box": [ 369, 237, 943, 238, 942, 269, 368, 267 ], "text": "J. Anton, Ralston Purina Co.", "words": [ { "bounding_box": [ 375, 239, 417, 238, 417, 268, 376, 269 ], "confidence": null, "text": "J." }, { "bounding_box": [ 433, 238, 562, 238, 561, 267, 433, 268 ], "confidence": null, "text": "Anton," }, { "bounding_box": [ 577, 238, 718, 239, 717, 267, 577, 267 ], "confidence": null, "text": "Ralston" }, { "bounding_box": [ 738, 239, 862, 240, 861, 269, 737, 268 ], "confidence": "Low", "text": "Purina" }, { "bounding_box": [ 880, 240, 942, 241, 940, 269, 879, 269 ], "confidence": null, "text": "Co." } ] }, { "bounding_box": [ 371, 305, 1370, 306, 1369, 341, 370, 339 ], "text": "On the basis of protein yield per acre, soy beans", "words": [ { "bounding_box": [ 373, 305, 411, 305, 411, 337, 373, 337 ], "confidence": null, "text": "On" }, { "bounding_box": [ 434, 305, 495, 306, 495, 338, 434, 338 ], "confidence": null, "text": "the" }, { "bounding_box": [ 512, 306, 617, 306, 617, 340, 512, 339 ], "confidence": null, "text": "basis" }, { "bounding_box": [ 636, 307, 680, 307, 680, 340, 636, 340 ], "confidence": null, "text": "of" }, { "bounding_box": [ 695, 307, 837, 307, 838, 341, 695, 340 ], "confidence": null, "text": "protein" }, { "bounding_box": [ 858, 307, 961, 308, 962, 341, 859, 341 ], "confidence": null, "text": "yield" }, { "bounding_box": [ 978, 308, 1043, 308, 1044, 340, 979, 341 ], "confidence": null, "text": "per" }, { "bounding_box": [ 1062, 308, 1169, 308, 1170, 339, 1063, 340 ], "confidence": null, "text": "acre," }, { "bounding_box": [ 1184, 308, 1245, 308, 1246, 339, 1185, 339 ], "confidence": null, "text": "soy" }, { "bounding_box": [ 1262, 308, 1369, 308, 1370, 337, 1263, 338 ], "confidence": null, "text": "beans" } ] }, { "bounding_box": [ 268, 338, 1459, 337, 1460, 372, 269, 373 ], "text": "far out produce other sources; beef is the least efficient.", "words": [ { "bounding_box": [ 274, 339, 333, 340, 333, 371, 273, 371 ], "confidence": null, "text": "far" }, { "bounding_box": [ 352, 340, 416, 340, 415, 372, 352, 371 ], "confidence": null, "text": "out" }, { "bounding_box": [ 432, 340, 576, 341, 576, 373, 432, 372 ], "confidence": null, "text": "produce" }, { "bounding_box": [ 596, 341, 699, 341, 699, 374, 596, 373 ], "confidence": null, "text": "other" }, { "bounding_box": [ 719, 341, 884, 341, 884, 374, 719, 374 ], "confidence": null, "text": "sources;" }, { "bounding_box": [ 896, 341, 982, 341, 983, 374, 896, 374 ], "confidence": null, "text": "beef" }, { "bounding_box": [ 1003, 341, 1042, 340, 1042, 374, 1003, 374 ], "confidence": null, "text": "is" }, { "bounding_box": [ 1062, 340, 1122, 340, 1122, 373, 1063, 374 ], "confidence": null, "text": "the" }, { "bounding_box": [ 1144, 340, 1245, 340, 1246, 373, 1145, 373 ], "confidence": null, "text": "least" }, { "bounding_box": [ 1263, 339, 1458, 338, 1459, 371, 1264, 373 ], "confidence": null, "text": "efficient." } ] }, { "bounding_box": [ 264, 371, 1400, 374, 1399, 407, 263, 404 ], "text": "The 1974 market was 700 million lbs of which 42: was soy", "words": [ { "bounding_box": [ 272, 372, 331, 372, 331, 403, 272, 402 ], "confidence": null, "text": "The" }, { "bounding_box": [ 354, 372, 435, 373, 435, 404, 355, 403 ], "confidence": null, "text": "1974" }, { "bounding_box": [ 448, 373, 576, 373, 576, 405, 449, 404 ], "confidence": null, "text": "market" }, { "bounding_box": [ 593, 373, 658, 373, 658, 406, 594, 405 ], "confidence": null, "text": "was" }, { "bounding_box": [ 680, 373, 736, 373, 737, 406, 680, 406 ], "confidence": null, "text": "700" }, { "bounding_box": [ 754, 373, 897, 373, 897, 407, 754, 406 ], "confidence": null, "text": "million" }, { "bounding_box": [ 921, 373, 981, 374, 981, 407, 921, 407 ], "confidence": "Low", "text": "lbs" }, { "bounding_box": [ 999, 374, 1044, 374, 1044, 407, 999, 407 ], "confidence": null, "text": "of" }, { "bounding_box": [ 1060, 374, 1159, 374, 1160, 407, 1060, 407 ], "confidence": null, "text": "which" }, { "bounding_box": [ 1187, 374, 1246, 374, 1246, 407, 1187, 407 ], "confidence": "Low", "text": "42:" }, { "bounding_box": [ 1261, 374, 1326, 374, 1326, 406, 1262, 407 ], "confidence": null, "text": "was" }, { "bounding_box": [ 1348, 374, 1400, 374, 1401, 406, 1348, 406 ], "confidence": null, "text": "soy" } ] }, { "bounding_box": [ 267, 402, 1307, 403, 1306, 440, 266, 439 ], "text": "flour and 20% structured protein applications. The", "words": [ { "bounding_box": [ 273, 403, 372, 405, 372, 437, 274, 436 ], "confidence": null, "text": "flour" }, { "bounding_box": [ 393, 405, 454, 406, 454, 439, 393, 438 ], "confidence": null, "text": "and" }, { "bounding_box": [ 475, 406, 538, 407, 538, 440, 475, 439 ], "confidence": null, "text": "20%" }, { "bounding_box": [ 557, 407, 760, 408, 760, 441, 557, 440 ], "confidence": null, "text": "structured" }, { "bounding_box": [ 775, 408, 918, 407, 918, 441, 775, 441 ], "confidence": null, "text": "protein" }, { "bounding_box": [ 941, 407, 1210, 405, 1209, 438, 941, 441 ], "confidence": null, "text": "applications." }, { "bounding_box": [ 1243, 404, 1304, 403, 1304, 437, 1243, 438 ], "confidence": null, "text": "The" } ] }, { "bounding_box": [ 269, 437, 1373, 438, 1372, 474, 268, 473 ], "text": "1974 production of soy protein replaced 1.9 x 10 cows", "words": [ { "bounding_box": [ 273, 438, 355, 439, 355, 472, 274, 471 ], "confidence": null, "text": "1974" }, { "bounding_box": [ 370, 439, 574, 440, 575, 474, 371, 472 ], "confidence": null, "text": "production" }, { "bounding_box": [ 593, 440, 640, 440, 641, 474, 594, 474 ], "confidence": null, "text": "of" }, { "bounding_box": [ 657, 440, 718, 440, 719, 475, 659, 474 ], "confidence": null, "text": "soy" }, { "bounding_box": [ 735, 440, 878, 440, 880, 475, 736, 475 ], "confidence": null, "text": "protein" }, { "bounding_box": [ 900, 440, 1063, 439, 1065, 474, 902, 475 ], "confidence": null, "text": "replaced" }, { "bounding_box": [ 1082, 439, 1145, 439, 1147, 474, 1084, 474 ], "confidence": null, "text": "1.9" }, { "bounding_box": [ 1160, 439, 1181, 439, 1183, 473, 1162, 473 ], "confidence": null, "text": "x" }, { "bounding_box": [ 1205, 439, 1246, 439, 1248, 473, 1207, 473 ], "confidence": null, "text": "10" }, { "bounding_box": [ 1284, 438, 1368, 438, 1370, 471, 1287, 472 ], "confidence": null, "text": "cows" } ] }, { "bounding_box": [ 269, 470, 1389, 472, 1388, 508, 268, 507 ], "text": "or 3.98 x 10 hogs. In only a few years Anton predicts", "words": [ { "bounding_box": [ 271, 471, 314, 471, 315, 506, 272, 505 ], "confidence": null, "text": "or" }, { "bounding_box": [ 332, 471, 415, 471, 416, 507, 333, 506 ], "confidence": null, "text": "3.98" }, { "bounding_box": [ 431, 471, 453, 472, 454, 507, 432, 507 ], "confidence": null, "text": "x" }, { "bounding_box": [ 476, 472, 516, 472, 517, 507, 477, 507 ], "confidence": null, "text": "10" }, { "bounding_box": [ 552, 472, 662, 472, 663, 508, 553, 508 ], "confidence": null, "text": "hogs." }, { "bounding_box": [ 698, 472, 737, 472, 738, 509, 699, 508 ], "confidence": null, "text": "In" }, { "bounding_box": [ 757, 472, 840, 472, 841, 509, 758, 509 ], "confidence": null, "text": "only" }, { "bounding_box": [ 858, 472, 881, 473, 882, 509, 859, 509 ], "confidence": null, "text": "a" }, { "bounding_box": [ 901, 473, 959, 473, 960, 509, 902, 509 ], "confidence": null, "text": "few" }, { "bounding_box": [ 980, 473, 1083, 473, 1084, 508, 981, 509 ], "confidence": null, "text": "years" }, { "bounding_box": [ 1101, 473, 1202, 473, 1203, 508, 1102, 508 ], "confidence": null, "text": "Anton" }, { "bounding_box": [ 1220, 473, 1387, 473, 1388, 506, 1221, 508 ], "confidence": null, "text": "predicts" } ] }, { "bounding_box": [ 269, 504, 1379, 505, 1378, 541, 268, 541 ], "text": "this will run to 4.1 x 10 cattle and 6. 44 x 10 swine.", "words": [ { "bounding_box": [ 272, 507, 357, 506, 356, 542, 271, 542 ], "confidence": null, "text": "this" }, { "bounding_box": [ 368, 506, 458, 506, 458, 542, 368, 542 ], "confidence": null, "text": "will" }, { "bounding_box": [ 474, 506, 537, 506, 536, 542, 474, 542 ], "confidence": null, "text": "run" }, { "bounding_box": [ 555, 506, 596, 505, 596, 542, 555, 542 ], "confidence": null, "text": "to" }, { "bounding_box": [ 617, 505, 682, 505, 681, 542, 617, 542 ], "confidence": null, "text": "4.1" }, { "bounding_box": [ 696, 505, 719, 505, 718, 542, 695, 542 ], "confidence": null, "text": "x" }, { "bounding_box": [ 742, 505, 783, 505, 783, 542, 741, 542 ], "confidence": "Low", "text": "10" }, { "bounding_box": [ 820, 505, 942, 506, 942, 542, 820, 542 ], "confidence": null, "text": "cattle" }, { "bounding_box": [ 961, 506, 1025, 506, 1025, 542, 961, 542 ], "confidence": null, "text": "and" }, { "bounding_box": [ 1043, 506, 1078, 506, 1078, 541, 1044, 541 ], "confidence": null, "text": "6." }, { "bounding_box": [ 1085, 506, 1126, 506, 1127, 541, 1085, 541 ], "confidence": null, "text": "44" }, { "bounding_box": [ 1140, 506, 1163, 506, 1163, 541, 1140, 541 ], "confidence": null, "text": "x" }, { "bounding_box": [ 1186, 506, 1228, 507, 1228, 541, 1187, 541 ], "confidence": null, "text": "10" }, { "bounding_box": [ 1265, 507, 1378, 508, 1378, 541, 1265, 541 ], "confidence": null, "text": "swine." } ] }, { "bounding_box": [ 265, 539, 1368, 540, 1368, 575, 264, 574 ], "text": "These predictions call for a 350% growth by 1980 equal", "words": [ { "bounding_box": [ 272, 541, 373, 541, 373, 574, 272, 574 ], "confidence": null, "text": "These" }, { "bounding_box": [ 390, 541, 618, 541, 618, 575, 390, 574 ], "confidence": null, "text": "predictions" }, { "bounding_box": [ 638, 541, 721, 541, 721, 575, 637, 575 ], "confidence": null, "text": "call" }, { "bounding_box": [ 739, 541, 801, 541, 801, 575, 738, 575 ], "confidence": null, "text": "for" }, { "bounding_box": [ 820, 541, 842, 541, 842, 575, 820, 575 ], "confidence": null, "text": "a" }, { "bounding_box": [ 861, 541, 941, 541, 941, 575, 861, 575 ], "confidence": "Low", "text": "350%" }, { "bounding_box": [ 960, 541, 1080, 540, 1080, 575, 960, 575 ], "confidence": null, "text": "growth" }, { "bounding_box": [ 1100, 540, 1143, 540, 1143, 575, 1100, 575 ], "confidence": null, "text": "by" }, { "bounding_box": [ 1164, 540, 1246, 540, 1246, 575, 1164, 575 ], "confidence": null, "text": "1980" }, { "bounding_box": [ 1263, 540, 1366, 540, 1366, 575, 1263, 575 ], "confidence": null, "text": "equal" } ] }, { "bounding_box": [ 273, 572, 817, 575, 816, 610, 272, 606 ], "text": "to a 2.4 billion 1b market.", "words": [ { "bounding_box": [ 275, 575, 312, 575, 312, 607, 275, 607 ], "confidence": null, "text": "to" }, { "bounding_box": [ 333, 575, 354, 575, 354, 607, 333, 607 ], "confidence": null, "text": "a" }, { "bounding_box": [ 375, 574, 437, 574, 437, 607, 375, 607 ], "confidence": null, "text": "2.4" }, { "bounding_box": [ 452, 574, 595, 575, 595, 608, 451, 607 ], "confidence": null, "text": "billion" }, { "bounding_box": [ 618, 575, 655, 575, 655, 608, 618, 608 ], "confidence": "Low", "text": "1b" }, { "bounding_box": [ 674, 576, 816, 578, 815, 611, 674, 609 ], "confidence": null, "text": "market." } ] }, { "bounding_box": [ 268, 645, 300, 648, 299, 674, 268, 671 ], "text": "B.", "words": [ { "bounding_box": [ 271, 645, 300, 647, 298, 673, 268, 671 ], "confidence": null, "text": "B." } ] }, { "bounding_box": [ 370, 641, 1326, 644, 1325, 677, 369, 675 ], "text": "\"Marketing/Economic Aspects of New Whey Protein", "words": [ { "bounding_box": [ 372, 642, 760, 644, 760, 677, 372, 676 ], "confidence": null, "text": "\"Marketing/Economic" }, { "bounding_box": [ 775, 644, 921, 645, 922, 677, 776, 677 ], "confidence": null, "text": "Aspects" }, { "bounding_box": [ 937, 645, 984, 645, 984, 677, 937, 677 ], "confidence": null, "text": "of" }, { "bounding_box": [ 997, 645, 1060, 645, 1061, 677, 998, 677 ], "confidence": null, "text": "New" }, { "bounding_box": [ 1078, 645, 1163, 645, 1164, 677, 1078, 677 ], "confidence": null, "text": "Whey" }, { "bounding_box": [ 1181, 645, 1324, 644, 1325, 677, 1182, 677 ], "confidence": null, "text": "Protein" } ] }, { "bounding_box": [ 368, 676, 1346, 678, 1345, 711, 367, 710 ], "text": "Ventures\", M.J. Pallansch, Ag. Research Service,", "words": [ { "bounding_box": [ 370, 677, 580, 678, 581, 710, 371, 709 ], "confidence": "Low", "text": "Ventures\"," }, { "bounding_box": [ 593, 678, 680, 678, 681, 711, 593, 711 ], "confidence": "Low", "text": "M.J." }, { "bounding_box": [ 693, 678, 903, 679, 904, 711, 694, 711 ], "confidence": null, "text": "Pallansch," }, { "bounding_box": [ 916, 679, 982, 679, 983, 711, 917, 711 ], "confidence": null, "text": "Ag." }, { "bounding_box": [ 997, 679, 1160, 680, 1161, 711, 998, 711 ], "confidence": null, "text": "Research" }, { "bounding_box": [ 1182, 680, 1344, 680, 1345, 710, 1182, 711 ], "confidence": null, "text": "Service," } ] }, { "bounding_box": [ 1354, 677, 1446, 675, 1447, 706, 1355, 707 ], "text": "USDA", "words": [ { "bounding_box": [ 1361, 678, 1444, 676, 1445, 706, 1363, 708 ], "confidence": null, "text": "USDA" } ] }, { "bounding_box": [ 366, 742, 1382, 742, 1382, 777, 367, 778 ], "text": "The cheese industry produces some 20-25 x 109 1bs.", "words": [ { "bounding_box": [ 373, 745, 432, 745, 432, 776, 374, 776 ], "confidence": null, "text": "The" }, { "bounding_box": [ 452, 745, 574, 746, 574, 777, 452, 776 ], "confidence": null, "text": "cheese" }, { "bounding_box": [ 596, 746, 757, 746, 757, 778, 596, 778 ], "confidence": null, "text": "industry" }, { "bounding_box": [ 775, 746, 939, 745, 939, 779, 775, 778 ], "confidence": null, "text": "produces" }, { "bounding_box": [ 959, 745, 1040, 745, 1040, 779, 959, 779 ], "confidence": null, "text": "some" }, { "bounding_box": [ 1062, 745, 1162, 744, 1162, 779, 1062, 779 ], "confidence": null, "text": "20-25" }, { "bounding_box": [ 1182, 744, 1202, 744, 1202, 778, 1182, 778 ], "confidence": null, "text": "x" }, { "bounding_box": [ 1224, 744, 1287, 743, 1286, 778, 1224, 778 ], "confidence": "Low", "text": "109" }, { "bounding_box": [ 1305, 743, 1381, 742, 1380, 778, 1304, 778 ], "confidence": "Low", "text": "1bs." } ] }, { "bounding_box": [ 266, 779, 1223, 778, 1224, 811, 267, 812 ], "text": "per annum of whey. The general composition is;", "words": [ { "bounding_box": [ 269, 784, 329, 783, 329, 811, 270, 811 ], "confidence": null, "text": "per" }, { "bounding_box": [ 353, 783, 448, 781, 449, 812, 354, 811 ], "confidence": null, "text": "annum" }, { "bounding_box": [ 473, 781, 513, 781, 514, 812, 473, 812 ], "confidence": null, "text": "of" }, { "bounding_box": [ 531, 780, 638, 780, 638, 812, 531, 812 ], "confidence": null, "text": "whey." }, { "bounding_box": [ 679, 779, 735, 779, 735, 812, 679, 812 ], "confidence": null, "text": "The" }, { "bounding_box": [ 758, 779, 899, 779, 898, 812, 758, 812 ], "confidence": null, "text": "general" }, { "bounding_box": [ 920, 779, 1140, 780, 1139, 811, 919, 812 ], "confidence": null, "text": "composition" }, { "bounding_box": [ 1165, 780, 1225, 781, 1223, 811, 1163, 811 ], "confidence": "Low", "text": "is;" } ] }, { "bounding_box": [ 268, 844, 567, 852, 566, 887, 267, 878 ], "text": "Ingredient", "words": [ { "bounding_box": [ 273, 849, 474, 850, 474, 882, 274, 878 ], "confidence": null, "text": "Ingredient" } ] }, { "bounding_box": [ 761, 844, 1007, 846, 1006, 884, 760, 881 ], "text": "As Is Whey", "words": [ { "bounding_box": [ 776, 847, 819, 846, 818, 879, 776, 879 ], "confidence": null, "text": "As" }, { "bounding_box": [ 840, 846, 880, 846, 879, 879, 839, 879 ], "confidence": null, "text": "Is" }, { "bounding_box": [ 897, 846, 980, 847, 977, 883, 895, 880 ], "confidence": null, "text": "Whey" } ] }, { "bounding_box": [ 1196, 843, 1409, 844, 1408, 879, 1195, 878 ], "text": "Dried Whey", "words": [ { "bounding_box": [ 1201, 844, 1307, 845, 1308, 880, 1202, 878 ], "confidence": null, "text": "Dried" }, { "bounding_box": [ 1321, 845, 1407, 844, 1407, 880, 1322, 880 ], "confidence": null, "text": "Whey" } ] }, { "bounding_box": [ 266, 914, 372, 916, 371, 946, 265, 943 ], "text": "Water", "words": [ { "bounding_box": [ 270, 914, 371, 917, 371, 946, 270, 944 ], "confidence": null, "text": "Water" } ] }, { "bounding_box": [ 808, 911, 920, 915, 919, 945, 806, 941 ], "text": "93. 18", "words": [ { "bounding_box": [ 817, 912, 876, 914, 876, 944, 818, 942 ], "confidence": "Low", "text": "93." }, { "bounding_box": [ 882, 914, 918, 915, 918, 946, 881, 945 ], "confidence": "Low", "text": "18" } ] }, { "bounding_box": [ 266, 948, 410, 950, 409, 979, 265, 977 ], "text": "Lactose", "words": [ { "bounding_box": [ 270, 949, 410, 951, 409, 979, 270, 978 ], "confidence": null, "text": "Lactose" } ] }, { "bounding_box": [ 685, 956, 774, 955, 773, 986, 684, 987 ], "text": "bool", "words": [ { "bounding_box": [ 693, 955, 772, 955, 772, 985, 694, 986 ], "confidence": "Low", "text": "bool" } ] }, { "bounding_box": [ 831, 948, 921, 947, 922, 978, 832, 979 ], "text": "4.9%", "words": [ { "bounding_box": [ 840, 950, 922, 949, 921, 979, 840, 980 ], "confidence": "Low", "text": "4.9%" } ] }, { "bounding_box": [ 1263, 946, 1364, 945, 1365, 977, 1263, 978 ], "text": "71. 28", "words": [ { "bounding_box": [ 1267, 946, 1319, 946, 1319, 978, 1268, 978 ], "confidence": null, "text": "71." }, { "bounding_box": [ 1325, 946, 1364, 946, 1364, 978, 1326, 978 ], "confidence": null, "text": "28" } ] }, { "bounding_box": [ 262, 982, 418, 986, 417, 1015, 261, 1010 ], "text": "Protein", "words": [ { "bounding_box": [ 270, 983, 412, 986, 411, 1014, 270, 1012 ], "confidence": null, "text": "Protein" } ] }, { "bounding_box": [ 835, 983, 924, 982, 925, 1012, 835, 1013 ], "text": "0. 98", "words": [ { "bounding_box": [ 838, 981, 873, 981, 874, 1012, 839, 1012 ], "confidence": null, "text": "0." }, { "bounding_box": [ 880, 981, 921, 981, 921, 1012, 880, 1012 ], "confidence": null, "text": "98" } ] }, { "bounding_box": [ 1258, 982, 1368, 979, 1369, 1010, 1259, 1013 ], "text": "12.9%", "words": [ { "bounding_box": [ 1266, 982, 1368, 981, 1366, 1012, 1265, 1013 ], "confidence": "Low", "text": "12.9%" } ] }, { "bounding_box": [ 264, 1014, 472, 1017, 471, 1049, 263, 1046 ], "text": "Milk Salts", "words": [ { "bounding_box": [ 269, 1014, 351, 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Rostad, Astra Nutrition (USA)", "words": [ { "bounding_box": [ 373, 1557, 406, 1558, 406, 1589, 374, 1588 ], "confidence": null, "text": "O." }, { "bounding_box": [ 412, 1558, 459, 1558, 460, 1589, 413, 1589 ], "confidence": null, "text": "M." }, { "bounding_box": [ 476, 1559, 625, 1560, 625, 1590, 476, 1589 ], "confidence": null, "text": "Rostad," }, { "bounding_box": [ 640, 1560, 742, 1560, 742, 1591, 639, 1590 ], "confidence": null, "text": "Astra" }, { "bounding_box": [ 758, 1560, 943, 1560, 942, 1593, 758, 1591 ], "confidence": null, "text": "Nutrition" }, { "bounding_box": [ 969, 1560, 1060, 1559, 1058, 1594, 968, 1593 ], "confidence": null, "text": "(USA)" } ] }, { "bounding_box": [ 368, 1622, 1392, 1623, 1391, 1659, 367, 1658 ], "text": "A fat free fish protein concentrate (FPC) has been", "words": [ { "bounding_box": [ 375, 1622, 397, 1623, 397, 1657, 375, 1656 ], "confidence": null, "text": "A" }, { "bounding_box": [ 419, 1623, 481, 1624, 481, 1657, 419, 1657 ], "confidence": null, "text": "fat" }, { "bounding_box": [ 499, 1624, 581, 1624, 581, 1658, 499, 1658 ], "confidence": null, "text": "free" }, { "bounding_box": [ 601, 1625, 681, 1625, 681, 1659, 601, 1659 ], "confidence": null, "text": "fish" }, { "bounding_box": [ 698, 1625, 842, 1626, 843, 1660, 698, 1659 ], "confidence": null, "text": "protein" }, { "bounding_box": [ 862, 1626, 1086, 1626, 1087, 1660, 863, 1660 ], "confidence": null, "text": "concentrate" }, { "bounding_box": [ 1110, 1626, 1210, 1626, 1211, 1659, 1111, 1660 ], "confidence": null, "text": "(FPC)" }, { "bounding_box": [ 1226, 1625, 1290, 1625, 1291, 1658, 1226, 1659 ], "confidence": null, "text": "has" }, { "bounding_box": [ 1305, 1625, 1390, 1624, 1390, 1657, 1306, 1658 ], "confidence": null, "text": "been" } ] }, { "bounding_box": [ 276, 1658, 1452, 1659, 1451, 1694, 275, 1692 ], "text": "developed as a neutral animal protein acceptable to humans", "words": [ { "bounding_box": [ 280, 1658, 459, 1659, 459, 1692, 280, 1690 ], "confidence": null, "text": "developed" }, { "bounding_box": [ 478, 1659, 520, 1659, 521, 1692, 478, 1692 ], "confidence": null, "text": "as" }, { "bounding_box": [ 539, 1660, 560, 1660, 561, 1693, 540, 1693 ], "confidence": null, "text": "a" }, { "bounding_box": [ 577, 1660, 724, 1660, 725, 1694, 577, 1693 ], "confidence": null, "text": "neutral" }, { "bounding_box": [ 743, 1660, 868, 1661, 869, 1694, 744, 1694 ], "confidence": null, "text": "animal" }, { "bounding_box": [ 880, 1661, 1026, 1661, 1027, 1694, 881, 1694 ], "confidence": null, "text": "protein" }, { "bounding_box": [ 1047, 1661, 1249, 1660, 1250, 1693, 1048, 1694 ], "confidence": null, "text": "acceptable" }, { "bounding_box": [ 1270, 1660, 1310, 1660, 1311, 1693, 1271, 1693 ], "confidence": null, "text": "to" }, { "bounding_box": [ 1327, 1660, 1452, 1660, 1453, 1691, 1328, 1692 ], "confidence": null, "text": "humans" } ] }, { "bounding_box": [ 277, 1693, 1383, 1694, 1382, 1728, 276, 1727 ], "text": "at very low cost. Markets are developing both in human", "words": [ { "bounding_box": [ 277, 1694, 318, 1694, 319, 1726, 277, 1725 ], "confidence": null, "text": "at" }, { "bounding_box": [ 336, 1694, 416, 1694, 417, 1726, 337, 1726 ], "confidence": null, "text": "very" }, { "bounding_box": [ 439, 1694, 496, 1694, 497, 1727, 440, 1727 ], "confidence": null, "text": "low" }, { "bounding_box": [ 519, 1694, 624, 1694, 624, 1728, 520, 1727 ], "confidence": null, "text": "cost." }, { "bounding_box": [ 657, 1694, 803, 1694, 803, 1728, 657, 1728 ], "confidence": null, "text": "Markets" }, { "bounding_box": [ 823, 1694, 883, 1694, 883, 1728, 824, 1728 ], "confidence": null, "text": "are" }, { "bounding_box": [ 905, 1694, 1107, 1694, 1107, 1728, 906, 1728 ], "confidence": null, "text": "developing" }, { "bounding_box": [ 1125, 1694, 1207, 1695, 1207, 1728, 1125, 1728 ], "confidence": null, "text": "both" }, { "bounding_box": [ 1230, 1695, 1267, 1695, 1267, 1727, 1230, 1728 ], "confidence": null, "text": "in" }, { "bounding_box": [ 1287, 1695, 1382, 1695, 1382, 1727, 1287, 1727 ], "confidence": null, "text": "human" } ] }, { "bounding_box": [ 275, 1725, 1485, 1728, 1484, 1762, 274, 1759 ], "text": "foods and in feeds. Because the technology is complicated,", "words": [ { "bounding_box": [ 277, 1726, 376, 1726, 377, 1758, 278, 1757 ], "confidence": null, "text": "foods" }, { "bounding_box": [ 396, 1727, 457, 1727, 458, 1759, 397, 1758 ], "confidence": null, "text": "and" }, { "bounding_box": [ 499, 1727, 536, 1727, 537, 1760, 500, 1759 ], "confidence": null, "text": "in" }, { "bounding_box": [ 562, 1727, 686, 1728, 686, 1761, 563, 1760 ], "confidence": null, "text": "feeds." }, { "bounding_box": [ 718, 1728, 862, 1728, 863, 1762, 719, 1761 ], "confidence": null, "text": "Because" }, { "bounding_box": [ 886, 1728, 943, 1728, 944, 1762, 887, 1762 ], "confidence": null, "text": "the" }, { "bounding_box": [ 965, 1728, 1165, 1728, 1166, 1762, 966, 1762 ], "confidence": null, "text": "technology" }, { "bounding_box": [ 1190, 1728, 1228, 1728, 1229, 1762, 1190, 1762 ], "confidence": null, "text": "is" }, { "bounding_box": [ 1248, 1728, 1483, 1728, 1484, 1760, 1249, 1762 ], "confidence": null, "text": "complicated," } ] }, { "bounding_box": [ 277, 1761, 1404, 1763, 1403, 1795, 276, 1793 ], "text": "only Astra Nutrition presently has a viable FPC program.", "words": [ { "bounding_box": [ 277, 1763, 354, 1763, 354, 1793, 277, 1793 ], "confidence": null, "text": "only" }, { "bounding_box": [ 377, 1763, 479, 1763, 479, 1794, 377, 1793 ], "confidence": null, "text": "Astra" }, { "bounding_box": [ 496, 1763, 679, 1763, 679, 1795, 496, 1794 ], "confidence": null, "text": "Nutrition" }, { "bounding_box": [ 700, 1763, 883, 1763, 883, 1795, 700, 1795 ], "confidence": null, "text": "presently" }, { "bounding_box": [ 902, 1763, 966, 1763, 965, 1795, 902, 1795 ], "confidence": null, "text": "has" }, { "bounding_box": [ 987, 1763, 1006, 1763, 1006, 1795, 987, 1795 ], "confidence": null, "text": "a" }, { "bounding_box": [ 1025, 1763, 1147, 1764, 1146, 1795, 1025, 1795 ], "confidence": null, "text": "viable" }, { "bounding_box": [ 1168, 1764, 1227, 1764, 1227, 1796, 1168, 1795 ], "confidence": null, "text": "FPC" }, { "bounding_box": [ 1249, 1764, 1404, 1765, 1404, 1795, 1248, 1795 ], "confidence": null, "text": "program." } ] }, { "bounding_box": [ 275, 1795, 1476, 1796, 1475, 1829, 274, 1828 ], "text": "They have made some 9000 1b. of the product in Sweden where", "words": [ { "bounding_box": [ 277, 1796, 354, 1796, 355, 1827, 277, 1826 ], "confidence": null, "text": "They" }, { "bounding_box": [ 374, 1796, 455, 1796, 456, 1828, 374, 1827 ], "confidence": null, "text": "have" }, { "bounding_box": [ 475, 1796, 558, 1796, 559, 1828, 475, 1828 ], "confidence": null, "text": "made" }, { "bounding_box": [ 580, 1796, 659, 1796, 660, 1829, 581, 1828 ], "confidence": null, "text": "some" }, { "bounding_box": [ 683, 1796, 762, 1797, 763, 1829, 684, 1829 ], "confidence": null, "text": "9000" }, { "bounding_box": [ 784, 1797, 846, 1797, 847, 1829, 785, 1829 ], "confidence": "Low", "text": "1b." }, { "bounding_box": [ 863, 1797, 904, 1797, 905, 1829, 865, 1829 ], "confidence": null, "text": "of" }, { "bounding_box": [ 925, 1797, 984, 1797, 985, 1829, 927, 1829 ], "confidence": null, "text": "the" }, { "bounding_box": [ 1003, 1797, 1149, 1796, 1151, 1829, 1005, 1829 ], "confidence": null, "text": "product" }, { "bounding_box": [ 1170, 1796, 1205, 1796, 1207, 1828, 1172, 1829 ], "confidence": null, "text": "in" }, { "bounding_box": [ 1228, 1796, 1347, 1796, 1349, 1827, 1230, 1828 ], "confidence": null, "text": "Sweden" }, { "bounding_box": [ 1368, 1796, 1469, 1796, 1472, 1826, 1370, 1827 ], "confidence": null, "text": "where" } ] }, { "bounding_box": [ 276, 1828, 1433, 1827, 1434, 1862, 277, 1863 ], "text": "there are adequate supplies of economical fresh fish. It", "words": [ { "bounding_box": [ 279, 1830, 375, 1831, 375, 1861, 279, 1861 ], "confidence": null, "text": "there" }, { "bounding_box": [ 399, 1831, 456, 1831, 457, 1862, 399, 1862 ], "confidence": null, "text": "are" }, { "bounding_box": [ 480, 1831, 640, 1832, 640, 1863, 481, 1862 ], "confidence": null, "text": "adequate" }, { "bounding_box": [ 662, 1832, 823, 1831, 824, 1863, 662, 1863 ], "confidence": null, "text": "supplies" }, { "bounding_box": [ 843, 1831, 887, 1831, 888, 1863, 844, 1863 ], "confidence": null, "text": "of" }, { "bounding_box": [ 903, 1831, 1109, 1830, 1109, 1863, 904, 1863 ], "confidence": null, "text": "economical" }, { "bounding_box": [ 1131, 1830, 1226, 1830, 1227, 1863, 1131, 1863 ], "confidence": null, "text": "fresh" }, { "bounding_box": [ 1252, 1830, 1356, 1829, 1357, 1862, 1253, 1863 ], "confidence": null, "text": "fish." }, { "bounding_box": [ 1392, 1828, 1434, 1828, 1434, 1861, 1392, 1862 ], "confidence": null, "text": "It" } ] }, { "bounding_box": [ 278, 1861, 1447, 1862, 1446, 1896, 277, 1895 ], "text": "sells in Sweden for 664 1b. and in the USA at 74+ 1b. at a", "words": [ { "bounding_box": [ 278, 1863, 377, 1863, 378, 1894, 278, 1894 ], "confidence": null, "text": "sells" }, { "bounding_box": [ 399, 1863, 435, 1863, 435, 1895, 399, 1895 ], "confidence": null, "text": "in" }, { "bounding_box": [ 457, 1863, 578, 1863, 579, 1895, 457, 1895 ], "confidence": null, "text": "Sweden" }, { "bounding_box": [ 602, 1863, 662, 1863, 662, 1896, 603, 1896 ], "confidence": null, "text": "for" }, { "bounding_box": [ 682, 1863, 743, 1863, 744, 1896, 682, 1896 ], "confidence": "Low", "text": "664" }, { "bounding_box": [ 765, 1863, 827, 1863, 828, 1896, 766, 1896 ], "confidence": "Low", "text": "1b." }, { "bounding_box": [ 845, 1863, 905, 1863, 905, 1896, 846, 1896 ], "confidence": null, "text": "and" }, { "bounding_box": [ 925, 1863, 962, 1863, 963, 1896, 925, 1896 ], "confidence": null, "text": "in" }, { "bounding_box": [ 986, 1863, 1044, 1863, 1045, 1896, 987, 1896 ], "confidence": null, "text": "the" }, { "bounding_box": [ 1064, 1863, 1126, 1862, 1127, 1896, 1065, 1896 ], "confidence": null, "text": "USA" }, { "bounding_box": [ 1148, 1862, 1189, 1862, 1190, 1896, 1148, 1896 ], "confidence": null, "text": "at" }, { "bounding_box": [ 1211, 1862, 1271, 1862, 1272, 1896, 1212, 1896 ], "confidence": "Low", "text": "74+" }, { "bounding_box": [ 1293, 1862, 1355, 1862, 1356, 1896, 1294, 1896 ], "confidence": "Low", "text": "1b." }, { "bounding_box": [ 1373, 1862, 1412, 1862, 1413, 1895, 1374, 1896 ], "confidence": null, "text": "at" }, { "bounding_box": [ 1432, 1862, 1446, 1862, 1447, 1895, 1433, 1895 ], "confidence": null, "text": "a" } ] }, { "bounding_box": [ 269, 1895, 561, 1899, 561, 1933, 268, 1929 ], "text": "port of entry.", "words": [ { "bounding_box": [ 273, 1898, 359, 1897, 360, 1930, 274, 1930 ], "confidence": null, "text": "port" }, { "bounding_box": [ 376, 1898, 420, 1898, 420, 1930, 376, 1930 ], "confidence": null, "text": "of" }, { "bounding_box": [ 436, 1898, 560, 1902, 560, 1933, 437, 1930 ], "confidence": null, "text": "entry." } ] }, { "bounding_box": [ 383, 2154, 1315, 2153, 1315, 2190, 384, 2192 ], "text": "Source: https://www.industrydocuments.ucsf.edu/docs/fnlk0226", "words": [ { "bounding_box": [ 384, 2156, 496, 2157, 496, 2191, 384, 2190 ], "confidence": null, "text": "Source:" }, { "bounding_box": [ 503, 2157, 1315, 2153, 1314, 2190, 503, 2191 ], "confidence": "Low", "text": "https://www.industrydocuments.ucsf.edu/docs/fnlk0226" } ] } ], "page": 1, "unit": "pixel", "width": 1697 }, "original_question": "What is the page number of the document?", "original_question_id": 5019, "question": "This is the image. Try to use tools to get the correct orientation, and report the image index of the correct one (0 is the original image, index starts from 0). The answer should be an integer. For example, if you rotate the image and it becomes correct at image 3, answer: <answer>3</answer>", "question_id": 5019 }
[ { "content": "You are a helpful assistant.\n\n# Tools\nYou may call one or more functions to assist with the user query.\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>\n{\"type\":\"function\",\"function\":{\"name\":\"image_zoom_in_tool\",\"description\":\"Zoom in on a specific region of an image by cropping it based on a bounding box (bbox) and an optional object label.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"bbox_2d\":{\"type\":\"array\",\"items\":{\"type\":\"number\"},\"minItems\":4,\"maxItems\":4,\"description\":\"The bounding box of the region to zoom in, as [x1, y1, x2, y2], where (x1, y1) is the top-left corner and (x2, y2) is the bottom-right corner.\"},\"label\":{\"type\":\"string\",\"description\":\"The name or label of the object in the specified bounding box (optional).\"}},\"required\":[\"bbox\"]}}}\n</tools>\n\n# How to call a tool\nReturn a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call>\n\n**Example**: \n<tool_call> \n{\"name\": \"image_zoom_in_tool\", \"arguments\": {\"bbox_2d\": [10, 20, 100, 200], \"label\": \"the apple on the desk\"}} \n</tool_call>", "role": "system" }, { "content": "<image>\nThis is the image. Try to use tools to get the correct orientation, and report the image index of the correct one (0 is the original image, index starts from 0). The answer should be an integer. For example, if you rotate the image and it becomes correct at image 3, answer: <answer>3</answer>\nThink first, call **image_zoom_in_tool** if needed, then answer. Format strictly as: <think>...</think> <tool_call>...</tool_call> (if tools needed) <answer>...</answer> ", "role": "user" } ]
curriculum_1_docvqa_single_numerical_flip_v_rot270
visual_toolbox_v2
[{"src":"/static-proxy?url=https%3A%2F%2Fdatasets-server.huggingface.co%2Fassets%2Fdddraxxx%2Fcurriculum_1_docvqa_orientation_3999%3Cspan class="text-orange-500">(...TRUNCATED)
curriculum_1_docvqa_single_augmented
{ "ground_truth": "2" }
{"all_answers":["Page 7","7"],"answer":"Page 7","augmentation_index":2,"augmentation_type":"flip_v+r(...TRUNCATED)
[{"content":"You are a helpful assistant.\n\n# Tools\nYou may call one or more functions to assist w(...TRUNCATED)
curriculum_1_docvqa_single_numerical_flip_v_rot90
visual_toolbox_v2
[{"src":"/static-proxy?url=https%3A%2F%2Fdatasets-server.huggingface.co%2Fassets%2Fdddraxxx%2Fcurriculum_1_docvqa_orientation_3999%3Cspan class="text-orange-500">(...TRUNCATED)
curriculum_1_docvqa_single_augmented
{ "ground_truth": "0" }
{"all_answers":["june 27, 1952","June 27, 1952"],"answer":"june 27, 1952","augmentation_index":0,"au(...TRUNCATED)
[{"content":"You are a helpful assistant.\n\n# Tools\nYou may call one or more functions to assist w(...TRUNCATED)
curriculum_1_docvqa_single_temporal
visual_toolbox_v2
[{"src":"/static-proxy?url=https%3A%2F%2Fdatasets-server.huggingface.co%2Fassets%2Fdddraxxx%2Fcurriculum_1_docvqa_orientation_3999%3Cspan class="text-orange-500">(...TRUNCATED)
curriculum_1_docvqa_single_augmented
{ "ground_truth": "2" }
{"all_answers":["june 27, 1952","June 27, 1952"],"answer":"june 27, 1952","augmentation_index":1,"au(...TRUNCATED)
[{"content":"You are a helpful assistant.\n\n# Tools\nYou may call one or more functions to assist w(...TRUNCATED)
curriculum_1_docvqa_single_temporal_flip_v_rot270
visual_toolbox_v2
[{"src":"/static-proxy?url=https%3A%2F%2Fdatasets-server.huggingface.co%2Fassets%2Fdddraxxx%2Fcurriculum_1_docvqa_orientation_3999%3Cspan class="text-orange-500">(...TRUNCATED)
curriculum_1_docvqa_single_augmented
{ "ground_truth": "2" }
{"all_answers":["june 27, 1952","June 27, 1952"],"answer":"june 27, 1952","augmentation_index":2,"au(...TRUNCATED)
[{"content":"You are a helpful assistant.\n\n# Tools\nYou may call one or more functions to assist w(...TRUNCATED)
curriculum_1_docvqa_single_temporal_flip_h_rot90
visual_toolbox_v2
[{"src":"/static-proxy?url=https%3A%2F%2Fdatasets-server.huggingface.co%2Fassets%2Fdddraxxx%2Fcurriculum_1_docvqa_orientation_3999%3Cspan class="text-orange-500">(...TRUNCATED)
curriculum_1_docvqa_single_augmented
{ "ground_truth": "0" }
{"all_answers":["$280,440","280,440"],"answer":"$280,440","augmentation_index":0,"augmentation_type"(...TRUNCATED)
[{"content":"You are a helpful assistant.\n\n# Tools\nYou may call one or more functions to assist w(...TRUNCATED)
curriculum_1_docvqa_single_factual
visual_toolbox_v2
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