image imagewidth (px) 109 721 | prompt stringclasses 1
value | answer stringlengths 271 54.4k | html stringlengths 125 12.8k | cells stringlengths 123 41.6k | system stringclasses 1
value |
|---|---|---|---|---|---|
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Variable</b></td><td><b>Mean</b></td><td>[EMPTY_CELL]</td><td><b>Max</b></td><td><b>SD</b></td></tr></thead><tbody><tr><td>Low familiarity (metaphor vs. literal use ratio)</td><td>[EMPTY_CELL]</td><td>0.71</td><td>[EMPTY_CELL]</td><td>0.06</td></tr><tr><td>High familiarity (metaphor v... | <table><thead><tr><td><b>Variable</b></td><td><b>Mean</b></td><td>[EMPTY_CELL]</td><td><b>Max</b></td><td><b>SD</b></td></tr></thead><tbody><tr><td>Low familiarity (metaphor vs. literal use ratio)</td><td>[EMPTY_CELL]</td><td>0.71</td><td>[EMPTY_CELL]</td><td>0.06</td></tr><tr><td>High familiarity (metaphor vs. literal... | [{"cell": "<b>Variable</b>", "bbox": [0, 6, 31, 14]}, {"cell": "<b>Mean</b>", "bbox": [158, 6, 180, 14]}, {"cell": "[EMPTY_CELL]", "bbox": [187, 6, 203, 14]}, {"cell": "<b>Max</b>", "bbox": [210, 6, 227, 14]}, {"cell": "<b>SD</b>", "bbox": [235, 6, 247, 14]}, {"cell": "Low familiarity (metaphor vs. literal use ratio)",... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Total Population</b></td><td><b>sFRP-3</b></td><td><b>WIF-1</b></td><td><b>DKK-1</b></td></tr></thead><tbody><tr><td>Age, years</td><td>74Β±10</td><td>0.04</td><td>0.06</td><td>[EMPTY_CELL]</td></tr><tr><td>Male, %</td><td>55</td><td>β0.09</td><td>β0.12</td><td>[EM... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>Total Population</b></td><td><b>sFRP-3</b></td><td><b>WIF-1</b></td><td><b>DKK-1</b></td></tr></thead><tbody><tr><td>Age, years</td><td>74Β±10</td><td>0.04</td><td>0.06</td><td>[EMPTY_CELL]</td></tr><tr><td>Male, %</td><td>55</td><td>β0.09</td><td>β0.12</td><td>[EMPTY_CELL]<... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Total Population</b>", "bbox": [74, 8, 121, 16]}, {"cell": "<b>sFRP-3</b>", "bbox": [138, 8, 160, 16]}, {"cell": "<b>WIF-1</b>", "bbox": [177, 8, 195, 16]}, {"cell": "<b>DKK-1</b>", "bbox": [217, 8, 236, 16]}, {"cell": "Age, years", "bbox": [7, 21, 41, 30]}, {"cell": ... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>PanIN</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>n</b></td><td><b>Death</b></td><td><b>CP</b></td><td><b>I</b></td><td><b>II</b></td><td... | <table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>PanIN</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>n</b></td><td><b>Death</b></td><td><b>CP</b></td><td><b>I</b></td><td><b>II</b></td><td><b>III</b... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>PanIN</b>", "bbox": [165, 4, 185, 12]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, ... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Frequency of doctor or health center visit</b></td><td><b>In a Year (%)</b></td><td><b>In 3 Months (%)</b></td><td><b>Total</b></td></tr></thead><tbody><tr><td><i>Once or less</i></td><td>24 (7.5)</td><td>134 (42.1)</td><td>318 (100)</td></tr><tr><td><i>2-4 times</i></td><td>106 (33.3... | <table><thead><tr><td><b>Frequency of doctor or health center visit</b></td><td><b>In a Year (%)</b></td><td><b>In 3 Months (%)</b></td><td><b>Total</b></td></tr></thead><tbody><tr><td><i>Once or less</i></td><td>24 (7.5)</td><td>134 (42.1)</td><td>318 (100)</td></tr><tr><td><i>2-4 times</i></td><td>106 (33.3)</td><td>... | [{"cell": "<b>Frequency of doctor or health center visit</b>", "bbox": [1, 4, 69, 22]}, {"cell": "<b>In a Year (%)</b>", "bbox": [82, 4, 125, 13]}, {"cell": "<b>In 3 Months (%)</b>", "bbox": [138, 4, 191, 13]}, {"cell": "<b>Total</b>", "bbox": [205, 4, 222, 13]}, {"cell": "<i>Once or less</i>", "bbox": [1, 26, 40, 34]}... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Theme</b></td><td><b>Sub-themes</b></td></tr></thead><tbody><tr><td rowspan=\"2\">Strengths and challenges arising from properties of a visual language</td><td>[EMPTY_CELL]</td></tr><tr><td>Verb directionality</td></tr><tr><td rowspan=\"2\">Conceptual understandings/misunderstandings ... | <table><thead><tr><td><b>Theme</b></td><td><b>Sub-themes</b></td></tr></thead><tbody><tr><td rowspan="2">Strengths and challenges arising from properties of a visual language</td><td>[EMPTY_CELL]</td></tr><tr><td>Verb directionality</td></tr><tr><td rowspan="2">Conceptual understandings/misunderstandings of common term... | [{"cell": "<b>Theme</b>", "bbox": [1, 4, 25, 13]}, {"cell": "<b>Sub-themes</b>", "bbox": [138, 4, 178, 13]}, {"cell": "Strengths and challenges arising from properties of a visual language", "bbox": [1, 17, 124, 36]}, {"cell": "[EMPTY_CELL]", "bbox": [138, 17, 223, 36]}, {"cell": "Verb directionality", "bbox": [138, 40... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Characteristic</b></td><td><b>Reference set</b></td><td><b>Validation set</b></td></tr></thead><tbody><tr><td><i>Sex (n β %)</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Male</td><td>60 (58%)</td><td>14 (64%)</td></tr><tr><td> Female</td><td>44 (42%)</td><td>8 (36%)... | <table><thead><tr><td><b>Characteristic</b></td><td><b>Reference set</b></td><td><b>Validation set</b></td></tr></thead><tbody><tr><td><i>Sex (n β %)</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Male</td><td>60 (58%)</td><td>14 (64%)</td></tr><tr><td> Female</td><td>44 (42%)</td><td>8 (36%)</td></tr>... | [{"cell": "<b>Characteristic</b>", "bbox": [4, 5, 61, 12]}, {"cell": "<b>Reference set</b>", "bbox": [122, 5, 177, 12]}, {"cell": "<b>Validation set</b>", "bbox": [184, 5, 239, 12]}, {"cell": "<i>Sex (n β %)</i>", "bbox": [4, 27, 43, 36]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"ce... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Samples</b></td><td><b>Malignant</b></td><td><b>Benign</b></td><td><b>Borderline</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>Galectin-3 positive</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>11</td><td>82%</td></tr><tr><td>Galectin-3 negative</td><td>280</td><td>[EMPT... | <table><thead><tr><td><b>Samples</b></td><td><b>Malignant</b></td><td><b>Benign</b></td><td><b>Borderline</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>Galectin-3 positive</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>11</td><td>82%</td></tr><tr><td>Galectin-3 negative</td><td>280</td><td>[EMPTY_CELL]</t... | [{"cell": "<b>Samples</b>", "bbox": [27, 5, 64, 16]}, {"cell": "<b>Malignant</b>", "bbox": [105, 5, 149, 16]}, {"cell": "<b>Benign</b>", "bbox": [171, 5, 202, 16]}, {"cell": "<b>Borderline</b>", "bbox": [223, 5, 269, 16]}, {"cell": "[EMPTY_CELL]", "bbox": [290, 5, 394, 16]}, {"cell": "Galectin-3 positive", "bbox": [8, ... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Cohort Type</b></td><td><b>Optimal Cut off Value</b></td><td><b>AUC</b></td><td><b>NPV</b></td><td><b>PPV</b></td></tr></thead><tbody><tr><td colspan=\"5\"><b>Low Risk or General Population</b></td></tr><tr><td>Redfield <i>et al.</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[... | <table><thead><tr><td><b>Cohort Type</b></td><td><b>Optimal Cut off Value</b></td><td><b>AUC</b></td><td><b>NPV</b></td><td><b>PPV</b></td></tr></thead><tbody><tr><td colspan="5"><b>Low Risk or General Population</b></td></tr><tr><td>Redfield <i>et al.</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]<... | [{"cell": "<b>Cohort Type</b>", "bbox": [69, 10, 112, 19]}, {"cell": "<b>Optimal Cut off Value</b>", "bbox": [207, 10, 281, 19]}, {"cell": "<b>AUC</b>", "bbox": [329, 10, 347, 19]}, {"cell": "<b>NPV</b>", "bbox": [388, 10, 406, 19]}, {"cell": "<b>PPV</b>", "bbox": [446, 10, 462, 19]}, {"cell": "<b>Low Risk or General P... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Parameter</b></td><td><b>Value</b></td></tr></thead><tbody><tr><td>NMR distance and dihedral constraints</td><td>[EMPTY_CELL]</td></tr><tr><td> Distance restraints</td><td>[EMPTY_CELL]</td></tr><tr><td>Total NOE</td><td>382</td></tr><tr><td>Intra-residue</td><td>128</td></tr><tr><td>I... | <table><thead><tr><td><b>Parameter</b></td><td><b>Value</b></td></tr></thead><tbody><tr><td>NMR distance and dihedral constraints</td><td>[EMPTY_CELL]</td></tr><tr><td> Distance restraints</td><td>[EMPTY_CELL]</td></tr><tr><td>Total NOE</td><td>382</td></tr><tr><td>Intra-residue</td><td>128</td></tr><tr><td>Inter-resid... | [{"cell": "<b>Parameter</b>", "bbox": [1, 4, 40, 11]}, {"cell": "<b>Value</b>", "bbox": [181, 4, 203, 11]}, {"cell": "NMR distance and dihedral constraints", "bbox": [1, 16, 130, 25]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": " Distance restraints", "bbox": [8, 28, 72, 37]}, {"cell": "[EMPTY_CELL]", "bbox": []}, ... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Region</b></td><td><b>Hepatitis A</b></td><td><b>Hepatitis B</b></td><td><b>Hepatitis C</b></td><td><b>Hepatitis Delta</b></td><td><b>Other hepatitis</b></td><td><b>All</b></td></tr></thead><tbody><tr><td colspan=\"7\">North</td></tr><tr><td> Deaths (n)</td><td>59</td><td>842</td><td>... | <table><thead><tr><td><b>Region</b></td><td><b>Hepatitis A</b></td><td><b>Hepatitis B</b></td><td><b>Hepatitis C</b></td><td><b>Hepatitis Delta</b></td><td><b>Other hepatitis</b></td><td><b>All</b></td></tr></thead><tbody><tr><td colspan="7">North</td></tr><tr><td> Deaths (n)</td><td>59</td><td>842</td><td>1071</td><td... | [{"cell": "<b>Region</b>", "bbox": [1, 4, 25, 13]}, {"cell": "<b>Hepatitis A</b>", "bbox": [97, 4, 134, 13]}, {"cell": "<b>Hepatitis B</b>", "bbox": [164, 4, 200, 13]}, {"cell": "<b>Hepatitis C</b>", "bbox": [230, 4, 267, 13]}, {"cell": "<b>Hepatitis Delta</b>", "bbox": [297, 4, 345, 13]}, {"cell": "<b>Other hepatitis<... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Characteristic</b></td><td><b>N</b></td><td><b>%</b></td></tr></thead><tbody><tr><td>Male</td><td>17</td><td>57%</td></tr><tr><td>Female</td><td>13</td><td>43%</td></tr><tr><td>Diagnosis</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Non-small cell lung cancer</td><td>18<... | <table><thead><tr><td><b>Characteristic</b></td><td><b>N</b></td><td><b>%</b></td></tr></thead><tbody><tr><td>Male</td><td>17</td><td>57%</td></tr><tr><td>Female</td><td>13</td><td>43%</td></tr><tr><td>Diagnosis</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Non-small cell lung cancer</td><td>18</td><td>60... | [{"cell": "<b>Characteristic</b>", "bbox": [1, 4, 49, 12]}, {"cell": "<b>N</b>", "bbox": [165, 4, 173, 12]}, {"cell": "<b>%</b>", "bbox": [221, 4, 230, 12]}, {"cell": "Male", "bbox": [1, 17, 18, 27]}, {"cell": "17", "bbox": [165, 17, 175, 27]}, {"cell": "57%", "bbox": [221, 17, 236, 27]}, {"cell": "Female", "bbox": [1,... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\"4\"><b>Tumor Stage</b></td></tr><tr><td><b>Gene</b></td><td><b>Tumor Site</b></td><td><b># Mutations</b></td><td><b><i>N</i></b></td><td><b>I</b></td><td><b>II</b></td><td><b>III</b></td><td><b>... | <table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan="4"><b>Tumor Stage</b></td></tr><tr><td><b>Gene</b></td><td><b>Tumor Site</b></td><td><b># Mutations</b></td><td><b><i>N</i></b></td><td><b>I</b></td><td><b>II</b></td><td><b>III</b></td><td><b>IV</b></td><... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Tumor Stage</b>", "bbox": [406, 1, 463, 16]}, {"cell": "<b>Gene</b>", "bbox": [40, 19, 64, 28]}, {"cell": "<b>Tumor Site</b>", "bbox": [122, 16, 172, 31]}... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\"2\"><b>(Period 1) Positive blood culture</b></td><td colspan=\"2\"><b>(Period II) Positive blood culture</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>Gram Positive Bacteremic Isolates</b></td><td><b>n = 90</b></td><td><b>%</b></td><td><b>n = 352</b></td><td... | <table><thead><tr><td>[EMPTY_CELL]</td><td colspan="2"><b>(Period 1) Positive blood culture</b></td><td colspan="2"><b>(Period II) Positive blood culture</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>Gram Positive Bacteremic Isolates</b></td><td><b>n = 90</b></td><td><b>%</b></td><td><b>n = 352</b></td><td><b>%</b></td>... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>(Period 1) Positive blood culture</b>", "bbox": [171, 5, 298, 14]}, {"cell": "<b>(Period II) Positive blood culture</b>", "bbox": [321, 5, 449, 14]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Gram Positive Bacteremic Isolates</b>", "bbox": [13, 27, 149, 36]},... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td rowspan=\"2\">[EMPTY_CELL]</td><td><b>CL8</b></td><td><b>CL6</b></td><td><b>CL5</b></td><td><b>CL4</b></td><td rowspan=\"2\"><b><i>P</i></b></td></tr><tr><td><b>(N = 162)</b></td><td><b>(N = 111)</b></td><td><b>(N = 102)</b></td><td><b>(N = 116)</b></td></tr></thead><tbody><tr><td><i>Phy... | <table><thead><tr><td rowspan="2">[EMPTY_CELL]</td><td><b>CL8</b></td><td><b>CL6</b></td><td><b>CL5</b></td><td><b>CL4</b></td><td rowspan="2"><b><i>P</i></b></td></tr><tr><td><b>(N = 162)</b></td><td><b>(N = 111)</b></td><td><b>(N = 102)</b></td><td><b>(N = 116)</b></td></tr></thead><tbody><tr><td><i>Physical health d... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>CL8</b>", "bbox": [164, 4, 179, 13]}, {"cell": "<b>CL6</b>", "bbox": [237, 4, 251, 13]}, {"cell": "<b>CL5</b>", "bbox": [309, 4, 324, 13]}, {"cell": "<b>CL4</b>", "bbox": [382, 4, 397, 13]}, {"cell": "<b><i>P</i></b>", "bbox": [455, 4, 461, 12]}, {"cell": "<b>(N = 162... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Variable</b></td><td><b>Value</b></td><td><b>Note</b></td><td><b>Source</b></td></tr></thead><tbody><tr><td>Total annual injections in the SIF (<i>I</i>)</td><td>180,000</td><td>Based on Insite capacity and use</td><td>Milloy et al. [45]</td></tr><tr><td>Percent of injections resultin... | <table><thead><tr><td><b>Variable</b></td><td><b>Value</b></td><td><b>Note</b></td><td><b>Source</b></td></tr></thead><tbody><tr><td>Total annual injections in the SIF (<i>I</i>)</td><td>180,000</td><td>Based on Insite capacity and use</td><td>Milloy et al. [45]</td></tr><tr><td>Percent of injections resulting in overd... | [{"cell": "<b>Variable</b>", "bbox": [1, 4, 27, 13]}, {"cell": "<b>Value</b>", "bbox": [155, 4, 175, 13]}, {"cell": "<b>Note</b>", "bbox": [189, 4, 206, 13]}, {"cell": "<b>Source</b>", "bbox": [335, 4, 358, 13]}, {"cell": "Total annual injections in the SIF (<i>I</i>)", "bbox": [1, 17, 83, 36]}, {"cell": "180,000", "bb... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\"7\"><b>Disease-modifying antirheumatic drug</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>None</b></td><td><b>Methotrexate</b></td><td><b>Leflunomide</b></td><td><b>Sulfasalazopyrine</b></td><td><b>Gold</b></td><td><b>Chloroquine</b></td><td><b>Others</b></t... | <table><thead><tr><td>[EMPTY_CELL]</td><td colspan="7"><b>Disease-modifying antirheumatic drug</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>None</b></td><td><b>Methotrexate</b></td><td><b>Leflunomide</b></td><td><b>Sulfasalazopyrine</b></td><td><b>Gold</b></td><td><b>Chloroquine</b></td><td><b>Others</b></td></tr></the... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Disease-modifying antirheumatic drug</b>", "bbox": [64, 9, 194, 19]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>None</b>", "bbox": [82, 27, 102, 36]}, {"cell": "<b>Methotrexate</b>", "bbox": [131, 27, 178, 36]}, {"cell": "<b>Leflunomide</b>", "bbox": [195, 27... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>% TMC</b></td><td><b>Mw (g/mol)</b></td><td><b>Mn (g/mol)</b></td><td><b>PDI</b></td></tr></thead><tbody><tr><td>20% TMC</td><td>127.630</td><td>69.694</td><td>1,7</td></tr><tr><td>30% TMC</td><td>126.577</td><td>60.451</td><td>2,0</td></tr></tbody></table>", "cells": [{"cell": "<b>% ... | <table><thead><tr><td><b>% TMC</b></td><td><b>Mw (g/mol)</b></td><td><b>Mn (g/mol)</b></td><td><b>PDI</b></td></tr></thead><tbody><tr><td>20% TMC</td><td>127.630</td><td>69.694</td><td>1,7</td></tr><tr><td>30% TMC</td><td>126.577</td><td>60.451</td><td>2,0</td></tr></tbody></table> | [{"cell": "<b>% TMC</b>", "bbox": [2, 4, 33, 15]}, {"cell": "<b>Mw (g/mol)</b>", "bbox": [70, 4, 115, 15]}, {"cell": "<b>Mn (g/mol)</b>", "bbox": [147, 4, 192, 15]}, {"cell": "<b>PDI</b>", "bbox": [224, 4, 241, 15]}, {"cell": "20% TMC", "bbox": [2, 17, 41, 27]}, {"cell": "127.630", "bbox": [79, 17, 106, 27]}, {"cell": ... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\"2\"><b>Group 1 (n = 14)</b></td><td colspan=\"2\"><b>Group 2 (n = 7)</b></td><td colspan=\"2\"><b>All (n = 21)</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>No</b></td><td><b>Mean (range)</b></td><td><b>No</b></td><td><b>Mean (range)</b></td><td><b>No</b></t... | <table><thead><tr><td>[EMPTY_CELL]</td><td colspan="2"><b>Group 1 (n = 14)</b></td><td colspan="2"><b>Group 2 (n = 7)</b></td><td colspan="2"><b>All (n = 21)</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>No</b></td><td><b>Mean (range)</b></td><td><b>No</b></td><td><b>Mean (range)</b></td><td><b>No</b></td><td><b>Mean (r... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Group 1 (n = 14)</b>", "bbox": [166, 4, 225, 13]}, {"cell": "<b>Group 2 (n = 7)</b>", "bbox": [290, 4, 344, 13]}, {"cell": "<b>All (n = 21)</b>", "bbox": [419, 4, 458, 13]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>No</b>", "bbox": [150, 17, 162, 27]}, {"cel... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Category</b></td><td><b>Mean Β± SEM (Range)</b></td><td><b>Sample Size<sup>A</sup></b></td></tr></thead><tbody><tr><td>No. of subjects per pedigree</td><td>[EMPTY_CELL]</td><td>313</td></tr><tr><td>No. of smokers per pedigree</td><td>3.92 Β± 0.16 (1β25)</td><td>313</td></tr><tr><td>Age ... | <table><thead><tr><td><b>Category</b></td><td><b>Mean Β± SEM (Range)</b></td><td><b>Sample Size<sup>A</sup></b></td></tr></thead><tbody><tr><td>No. of subjects per pedigree</td><td>[EMPTY_CELL]</td><td>313</td></tr><tr><td>No. of smokers per pedigree</td><td>3.92 Β± 0.16 (1β25)</td><td>313</td></tr><tr><td>Age of subject... | [{"cell": "<b>Category</b>", "bbox": [4, 5, 42, 14]}, {"cell": "<b>Mean Β± SEM (Range)</b>", "bbox": [210, 5, 292, 14]}, {"cell": "<b>Sample Size<sup>A</sup></b>", "bbox": [391, 4, 444, 14]}, {"cell": "No. of subjects per pedigree", "bbox": [4, 27, 102, 36]}, {"cell": "[EMPTY_CELL]", "bbox": [219, 27, 283, 36]}, {"cell"... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Tacrolimus/Sirolimus <i>N</i> = 318</b></td><td><b><i>n</i></b></td><td><b>Tacrolimus/MMF <i>N</i> = 316</b></td></tr></thead><tbody><tr><td>Total cholesterol, mean (SD), mmol/L</td><td>285</td><td>5.2 (1.4)</td><td>[EMPTY_CELL]</td><td>[EMPTY... | <table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Tacrolimus/Sirolimus <i>N</i> = 318</b></td><td><b><i>n</i></b></td><td><b>Tacrolimus/MMF <i>N</i> = 316</b></td></tr></thead><tbody><tr><td>Total cholesterol, mean (SD), mmol/L</td><td>285</td><td>5.2 (1.4)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": [178, 9, 185, 18]}, {"cell": "<b>Tacrolimus/Sirolimus <i>N</i> = 318</b>", "bbox": [217, 9, 329, 20]}, {"cell": "<b><i>n</i></b>", "bbox": [361, 9, 368, 18]}, {"cell": "<b>Tacrolimus/MMF <i>N</i> = 316</b>", "bbox": [400, 9, 499, 20]}, {"cell": "To... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td rowspan=\"3\"><b>Retention (%)</b></td><td colspan=\"3\"><b>Groups</b></td><td rowspan=\"3\"><b>SEM</b></td><td rowspan=\"3\"><b>Significance</b></td></tr><tr><td><b>T1</b></td><td><b>T2</b></td><td><b>T3</b></td></tr></thead><tbody><tr><td>DM</td><td>62.6</td><td>62.0</td><td>59.4</td><... | <table><thead><tr><td rowspan="3"><b>Retention (%)</b></td><td colspan="3"><b>Groups</b></td><td rowspan="3"><b>SEM</b></td><td rowspan="3"><b>Significance</b></td></tr><tr><td><b>T1</b></td><td><b>T2</b></td><td><b>T3</b></td></tr></thead><tbody><tr><td>DM</td><td>62.6</td><td>62.0</td><td>59.4</td><td>0.012</td><td>0... | [{"cell": "<b>Retention (%)</b>", "bbox": [0, 6, 68, 15]}, {"cell": "<b>Groups</b>", "bbox": [94, 6, 128, 15]}, {"cell": "<b>SEM</b>", "bbox": [156, 6, 177, 15]}, {"cell": "<b>Significance</b>", "bbox": [182, 6, 239, 15]}, {"cell": "<b>T1</b>", "bbox": [77, 21, 90, 31]}, {"cell": "<b>T2</b>", "bbox": [105, 21, 118, 31]... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Care coordinator status</b></td><td><b>Breakdown by job role</b></td><td><b><i>n</i></b></td></tr></thead><tbody><tr><td rowspan=\"10\">Care coordinators (<i>n</i> = 304)</td><td>Community Mental Health Nurses</td><td>186</td></tr><tr><td>Occupational Therapists</td><td>47</td></tr><t... | <table><thead><tr><td><b>Care coordinator status</b></td><td><b>Breakdown by job role</b></td><td><b><i>n</i></b></td></tr></thead><tbody><tr><td rowspan="10">Care coordinators (<i>n</i> = 304)</td><td>Community Mental Health Nurses</td><td>186</td></tr><tr><td>Occupational Therapists</td><td>47</td></tr><tr><td>Social... | [{"cell": "<b>Care coordinator status</b>", "bbox": [1, 5, 62, 24]}, {"cell": "<b>Breakdown by job role</b>", "bbox": [78, 15, 160, 24]}, {"cell": "<b><i>n</i></b>", "bbox": [228, 17, 235, 23]}, {"cell": "Care coordinators (<i>n</i> = 304)", "bbox": [1, 28, 65, 48]}, {"cell": "Community Mental Health Nurses", "bbox": [... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td rowspan=\"2\"><b>COG</b></td><td rowspan=\"2\"><b>Description</b></td><td rowspan=\"2\"><b>The number of genes</b></td><td colspan=\"2\"><b>P value</b></td></tr><tr><td><b>24 h</b></td><td><b>48 h</b></td></tr></thead><tbody><tr><td>A</td><td>RNA processing and modification</td><td>2</td... | <table><thead><tr><td rowspan="2"><b>COG</b></td><td rowspan="2"><b>Description</b></td><td rowspan="2"><b>The number of genes</b></td><td colspan="2"><b>P value</b></td></tr><tr><td><b>24 h</b></td><td><b>48 h</b></td></tr></thead><tbody><tr><td>A</td><td>RNA processing and modification</td><td>2</td><td>0.5000</td><t... | [{"cell": "<b>COG</b>", "bbox": [1, 4, 18, 14]}, {"cell": "<b>Description</b>", "bbox": [50, 4, 93, 14]}, {"cell": "<b>The number of genes</b>", "bbox": [283, 4, 358, 14]}, {"cell": "<b>P value</b>", "bbox": [390, 4, 417, 14]}, {"cell": "<b>24 h</b>", "bbox": [390, 20, 407, 30]}, {"cell": "<b>48 h</b>", "bbox": [453, 2... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Protein</b></td><td><b>Non-cardiovascular death (A.U), <i>N</i> = 65</b></td><td><b>Cardiovascular death (A.U), <i>N</i> = 17</b></td><td><b>Odds ratio for CVD death (95% confidence interval)*β </b></td><td><b>Adjusted*<i>P</i> value</b></td><td><b>Adjusted**<i>P</i> value</b></td></tr... | <table><thead><tr><td><b>Protein</b></td><td><b>Non-cardiovascular death (A.U), <i>N</i> = 65</b></td><td><b>Cardiovascular death (A.U), <i>N</i> = 17</b></td><td><b>Odds ratio for CVD death (95% confidence interval)*β </b></td><td><b>Adjusted*<i>P</i> value</b></td><td><b>Adjusted**<i>P</i> value</b></td></tr></thead><... | [{"cell": "<b>Protein</b>", "bbox": [2, 12, 28, 22]}, {"cell": "<b>Non-cardiovascular death (A.U), <i>N</i> = 65</b>", "bbox": [115, 7, 182, 27]}, {"cell": "<b>Cardiovascular death (A.U), <i>N</i> = 17</b>", "bbox": [200, 7, 267, 27]}, {"cell": "<b>Odds ratio for CVD death (95% confidence interval)*β </b>", "bbox": [284... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Adverse event</b></td><td><b>Grade 3</b></td><td><b>Grade 4</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>N</td><td>%</td><td>N</td><td>%</td></tr><tr><td>Anemia</td><td>5</td><td>11.4</td><td>1</td><td>2.3</td></tr><tr><td>Neutrope... | <table><thead><tr><td><b>Adverse event</b></td><td><b>Grade 3</b></td><td><b>Grade 4</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>N</td><td>%</td><td>N</td><td>%</td></tr><tr><td>Anemia</td><td>5</td><td>11.4</td><td>1</td><td>2.3</td></tr><tr><td>Neutropenia</td><t... | [{"cell": "<b>Adverse event</b>", "bbox": [1, 4, 52, 12]}, {"cell": "<b>Grade 3</b>", "bbox": [98, 4, 128, 12]}, {"cell": "<b>Grade 4</b>", "bbox": [147, 4, 176, 12]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "N", "bbox": [98, 17, 105, 27... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Locus</b></td><td><b>Gene</b></td><td><b>Chromosome</b></td><td><b>Position (GRCh38)</b></td><td><b>Allele variants</b></td><td><b>MAF<sup>β</sup></b></td><td><b>Reference</b></td></tr></thead><tbody><tr><td>rs34796867</td><td><i>ZC3H12A </i></td><td>1</td><td>37475773</td><td>C/T</td... | <table><thead><tr><td><b>Locus</b></td><td><b>Gene</b></td><td><b>Chromosome</b></td><td><b>Position (GRCh38)</b></td><td><b>Allele variants</b></td><td><b>MAF<sup>β</sup></b></td><td><b>Reference</b></td></tr></thead><tbody><tr><td>rs34796867</td><td><i>ZC3H12A </i></td><td>1</td><td>37475773</td><td>C/T</td><td>T = 0... | [{"cell": "<b>Locus</b>", "bbox": [2, 4, 26, 15]}, {"cell": "<b>Gene</b>", "bbox": [77, 4, 98, 15]}, {"cell": "<b>Chromosome</b>", "bbox": [134, 4, 185, 15]}, {"cell": "<b>Position (GRCh38)</b>", "bbox": [212, 4, 283, 15]}, {"cell": "<b>Allele variants</b>", "bbox": [310, 4, 363, 15]}, {"cell": "<b>MAF<sup>β</sup></b>"... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td rowspan=\"2\"><b>Variables</b></td><td rowspan=\"2\"><b>No (%)</b></td><td><b>Missing teeth</b></td><td rowspan=\"2\"><b><i>p</i></b></td><td><b>Papillary bleeding index</b></td><td rowspan=\"2\"><b><i>p</i></b></td></tr><tr><td><b>Mean Β± S.E</b></td><td><b>Mean Β± S.E</b></td></tr></thea... | <table><thead><tr><td rowspan="2"><b>Variables</b></td><td rowspan="2"><b>No (%)</b></td><td><b>Missing teeth</b></td><td rowspan="2"><b><i>p</i></b></td><td><b>Papillary bleeding index</b></td><td rowspan="2"><b><i>p</i></b></td></tr><tr><td><b>Mean Β± S.E</b></td><td><b>Mean Β± S.E</b></td></tr></thead><tbody><tr><td c... | [{"cell": "<b>Variables</b>", "bbox": [1, 4, 34, 13]}, {"cell": "<b>No (%)</b>", "bbox": [96, 4, 122, 13]}, {"cell": "<b>Missing teeth</b>", "bbox": [169, 4, 218, 13]}, {"cell": "<b><i>p</i></b>", "bbox": [270, 6, 277, 13]}, {"cell": "<b>Papillary bleeding index</b>", "bbox": [329, 4, 415, 13]}, {"cell": "<b><i>p</i></... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td rowspan=\"2\"><b>Run</b></td><td colspan=\"2\"><b>Levels</b></td><td colspan=\"3\"><b>Enzymes (IU/g)</b></td></tr><tr><td><b>Inlet air relative humidity (%)</b></td><td><b>Substrate initial moisture (%)</b></td><td><b>FPase</b></td><td><b>Endoglu-canase</b></td><td><b>Xylanase</b></td></... | <table><thead><tr><td rowspan="2"><b>Run</b></td><td colspan="2"><b>Levels</b></td><td colspan="3"><b>Enzymes (IU/g)</b></td></tr><tr><td><b>Inlet air relative humidity (%)</b></td><td><b>Substrate initial moisture (%)</b></td><td><b>FPase</b></td><td><b>Endoglu-canase</b></td><td><b>Xylanase</b></td></tr></thead><tbod... | [{"cell": "<b>Run</b>", "bbox": [2, 16, 20, 27]}, {"cell": "<b>Levels</b>", "bbox": [152, 4, 176, 14]}, {"cell": "<b>Enzymes (IU/g)</b>", "bbox": [347, 4, 407, 14]}, {"cell": "<b>Inlet air relative humidity (%)</b>", "bbox": [91, 17, 149, 38]}, {"cell": "<b>Substrate initial moisture (%)</b>", "bbox": [177, 17, 235, 38... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Tunicate (I<sub>Ξ²</sub>)</b></td><td><b>Valonia macrophysa (I<sub>Ξ±</sub>)</b></td><td><b>Avicel (I)</b></td><td><b>Avicel (II)</b></td><td>[EMPTY_CELL]</td><td><b>Amorphous</b></td></tr></thead><tbody><tr><td>β</td><td>β</td><td>β</td><td>[EMPTY_CELL]</td><td>210 (m)</td><td>[EMPTY_C... | <table><thead><tr><td><b>Tunicate (I<sub>Ξ²</sub>)</b></td><td><b>Valonia macrophysa (I<sub>Ξ±</sub>)</b></td><td><b>Avicel (I)</b></td><td><b>Avicel (II)</b></td><td>[EMPTY_CELL]</td><td><b>Amorphous</b></td></tr></thead><tbody><tr><td>β</td><td>β</td><td>β</td><td>[EMPTY_CELL]</td><td>210 (m)</td><td>[EMPTY_CELL]</td><... | [{"cell": "<b>Tunicate (I<sub>Ξ²</sub>)</b>", "bbox": [1, 6, 32, 27]}, {"cell": "<b>Valonia macrophysa (I<sub>Ξ±</sub>)</b>", "bbox": [36, 6, 95, 27]}, {"cell": "<b>Avicel (I)</b>", "bbox": [105, 6, 128, 26]}, {"cell": "<b>Avicel (II)</b>", "bbox": [141, 6, 164, 26]}, {"cell": "[EMPTY_CELL]", "bbox": [174, 6, 198, 27]}, ... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Participant</b></td><td><b>Gender</b></td><td><b>Number</b></td><td><b>Mean age (s.d.)</b></td><td><b>Mean verbal IQ (s.d.)</b></td></tr></thead><tbody><tr><td rowspan=\"2\">ASC</td><td>Male</td><td>20</td><td>11.56 (1.84)</td><td>87.8 (2.1)</td></tr><tr><td>Female</td><td>5</td><td>1... | <table><thead><tr><td><b>Participant</b></td><td><b>Gender</b></td><td><b>Number</b></td><td><b>Mean age (s.d.)</b></td><td><b>Mean verbal IQ (s.d.)</b></td></tr></thead><tbody><tr><td rowspan="2">ASC</td><td>Male</td><td>20</td><td>11.56 (1.84)</td><td>87.8 (2.1)</td></tr><tr><td>Female</td><td>5</td><td>11.60 (2.21)<... | [{"cell": "<b>Participant</b>", "bbox": [1, 4, 36, 13]}, {"cell": "<b>Gender</b>", "bbox": [43, 4, 69, 13]}, {"cell": "<b>Number</b>", "bbox": [76, 4, 104, 13]}, {"cell": "<b>Mean age (s.d.)</b>", "bbox": [112, 4, 162, 13]}, {"cell": "<b>Mean verbal IQ (s.d.)</b>", "bbox": [169, 4, 236, 13]}, {"cell": "ASC", "bbox": [1... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\"2\"><b>Category A: score 1β2 (%) a</b></td><td colspan=\"2\"><b>Category B: score 1β3 (%) a</b></td><td colspan=\"2\"><b>Category C: score 1β4 (%) a</b></td></tr><tr><td><b><i>Age groups:</i></b></td><td><b>N</b></td><td><b>%</b></td><td><b>n</b></td><td><b... | <table><thead><tr><td>[EMPTY_CELL]</td><td colspan="2"><b>Category A: score 1β2 (%) a</b></td><td colspan="2"><b>Category B: score 1β3 (%) a</b></td><td colspan="2"><b>Category C: score 1β4 (%) a</b></td></tr><tr><td><b><i>Age groups:</i></b></td><td><b>N</b></td><td><b>%</b></td><td><b>n</b></td><td><b>%</b></td><td><... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Category A: score 1β2 (%) a</b>", "bbox": [143, 3, 216, 33]}, {"cell": "<b>Category B: score 1β3 (%) a</b>", "bbox": [268, 3, 341, 33]}, {"cell": "<b>Category C: score 1β4 (%) a</b>", "bbox": [393, 3, 466, 33]}, {"cell": "<b><i>Age groups:</i></b>", "bbox": [7, 34, 64... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Sampling Location</b></td><td colspan=\"2\"><b>Latitude</b></td><td><b>Longitude</b></td><td><b><i>n</i></b></td></tr></thead><tbody><tr><td>Juan Santos, Cuatro CieΜnegas, Coahuila</td><td>[EMPTY_CELL]</td><td colspan=\"2\">[EMPTY_CELL]</td><td>17</td></tr><tr><td>Poza Benito, Cuatro ... | <table><thead><tr><td><b>Sampling Location</b></td><td colspan="2"><b>Latitude</b></td><td><b>Longitude</b></td><td><b><i>n</i></b></td></tr></thead><tbody><tr><td>Juan Santos, Cuatro CieΜnegas, Coahuila</td><td>[EMPTY_CELL]</td><td colspan="2">[EMPTY_CELL]</td><td>17</td></tr><tr><td>Poza Benito, Cuatro CieΜnegas, Coa... | [{"cell": "<b>Sampling Location</b>", "bbox": [1, 14, 61, 26]}, {"cell": "<b>Latitude</b>", "bbox": [135, 14, 163, 26]}, {"cell": "<b>Longitude</b>", "bbox": [190, 14, 223, 26]}, {"cell": "<b><i>n</i></b>", "bbox": [232, 14, 238, 26]}, {"cell": "Juan Santos, Cuatro CieΜnegas, Coahuila", "bbox": [1, 26, 120, 37]}, {"cel... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Index</b></td><td><b>COD (mg/L)</b></td><td><b>BOD<sub>5</sub>/COD</b></td><td><b>TOC (mg/L)</b></td><td><b>Acute Biotoxicity (mg Zn<sup>2+</sup>/L)</b></td><td>[EMPTY_CELL]</td><td><b>pH</b></td><td><b>Conductivity (ΞΌS/cm)</b></td></tr></thead><tbody><tr><td>Values</td><td>7500β8000<... | <table><thead><tr><td><b>Index</b></td><td><b>COD (mg/L)</b></td><td><b>BOD<sub>5</sub>/COD</b></td><td><b>TOC (mg/L)</b></td><td><b>Acute Biotoxicity (mg Zn<sup>2+</sup>/L)</b></td><td>[EMPTY_CELL]</td><td><b>pH</b></td><td><b>Conductivity (ΞΌS/cm)</b></td></tr></thead><tbody><tr><td>Values</td><td>7500β8000</td><td>[E... | [{"cell": "<b>Index</b>", "bbox": [8, 14, 37, 25]}, {"cell": "<b>COD (mg/L)</b>", "bbox": [56, 6, 91, 33]}, {"cell": "<b>BOD<sub>5</sub>/COD</b>", "bbox": [108, 14, 165, 26]}, {"cell": "<b>TOC (mg/L)</b>", "bbox": [174, 6, 208, 33]}, {"cell": "<b>Acute Biotoxicity (mg Zn<sup>2+</sup>/L)</b>", "bbox": [217, 6, 300, 33]}... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Gly/Gly</b></td><td><b>Gly/Ser + Ser/Ser</b></td><td>[EMPTY_CELL]</td><td><b><i>P</i></b></td></tr><tr><td><b><i>Males</i></b></td><td><b>N = 214</b></td><td><b>N = 285</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Diastolic dysfunction, N (%)<... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>Gly/Gly</b></td><td><b>Gly/Ser + Ser/Ser</b></td><td>[EMPTY_CELL]</td><td><b><i>P</i></b></td></tr><tr><td><b><i>Males</i></b></td><td><b>N = 214</b></td><td><b>N = 285</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Diastolic dysfunction, N (%)</b></td><t... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Gly/Gly</b>", "bbox": [308, 4, 335, 14]}, {"cell": "<b>Gly/Ser + Ser/Ser</b>", "bbox": [349, 4, 410, 14]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b><i>P</i></b>", "bbox": [483, 5, 489, 12]}, {"cell": "<b><i>Males</i></b>", "bbox": [4, 15, 25, 23]}, {"cell": ... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>FALL</b></td><td><b>Mean/before</b></td><td><b>95% confidence interval/before</b></td><td><b>Standard deviation/before</b></td><td><b>Mean/after</b></td><td><b>95% confidence interval/after</b></td><td><b>Standard deviation/after</b></td><td><b>Significance</b></td></tr></thead><tbody... | <table><thead><tr><td><b>FALL</b></td><td><b>Mean/before</b></td><td><b>95% confidence interval/before</b></td><td><b>Standard deviation/before</b></td><td><b>Mean/after</b></td><td><b>95% confidence interval/after</b></td><td><b>Standard deviation/after</b></td><td><b>Significance</b></td></tr></thead><tbody><tr><td>S... | [{"cell": "<b>FALL</b>", "bbox": [4, 4, 24, 14]}, {"cell": "<b>Mean/before</b>", "bbox": [95, 4, 139, 14]}, {"cell": "<b>95% confidence interval/before</b>", "bbox": [148, 4, 202, 23]}, {"cell": "<b>Standard deviation/before</b>", "bbox": [211, 4, 267, 23]}, {"cell": "<b>Mean/after</b>", "bbox": [277, 4, 315, 14]}, {"c... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Components</b></td><td><b>Mean</b></td><td><b>Std.</b></td><td><b>CC</b></td><td><b>% Noise</b></td></tr></thead><tbody><tr><td>X</td><td>0.0022739</td><td>0.0022404</td><td>0.99775</td><td>4.7</td></tr><tr><td>Y</td><td>0.0029312</td><td>0.0028497</td><td>0.99183</td><td>9.1</td></tr... | <table><thead><tr><td><b>Components</b></td><td><b>Mean</b></td><td><b>Std.</b></td><td><b>CC</b></td><td><b>% Noise</b></td></tr></thead><tbody><tr><td>X</td><td>0.0022739</td><td>0.0022404</td><td>0.99775</td><td>4.7</td></tr><tr><td>Y</td><td>0.0029312</td><td>0.0028497</td><td>0.99183</td><td>9.1</td></tr><tr><td>Z... | [{"cell": "<b>Components</b>", "bbox": [19, 5, 73, 16]}, {"cell": "<b>Mean</b>", "bbox": [111, 5, 136, 16]}, {"cell": "<b>Std.</b>", "bbox": [181, 5, 199, 16]}, {"cell": "<b>CC</b>", "bbox": [250, 5, 265, 16]}, {"cell": "<b>% Noise</b>", "bbox": [306, 5, 342, 16]}, {"cell": "X", "bbox": [42, 21, 50, 30]}, {"cell": "0.0... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td><b>original</b></td><td><b>Hub50</b></td><td><b>GO500</b></td><td><b>Hub50+GO500</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.272</td><td>0.354</td><td>0.406</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.347</td><td>0... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>original</b></td><td><b>Hub50</b></td><td><b>GO500</b></td><td><b>Hub50+GO500</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.272</td><td>0.354</td><td>0.406</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.347</td><td>0.471</td><... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>original</b>", "bbox": [47, 4, 73, 13]}, {"cell": "<b>Hub50</b>", "bbox": [93, 4, 116, 13]}, {"cell": "<b>GO500</b>", "bbox": [136, 4, 159, 13]}, {"cell": "<b>Hub50+GO500</b>", "bbox": [179, 4, 228, 13]}, {"cell": "[EMPTY_CELL]", "bbox": [10, 17, 26, 27]}, {"cell": "[... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\"4\"><b>Multivariate</b></td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\"2\"><b>Univariate</b></td><td colspan=\"2\"><b>Before step-by-step exclusion</b></td><td colspan=\"2\"><b>After step-by-step exclusion</b></td>... | <table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan="4"><b>Multivariate</b></td></tr><tr><td>[EMPTY_CELL]</td><td colspan="2"><b>Univariate</b></td><td colspan="2"><b>Before step-by-step exclusion</b></td><td colspan="2"><b>After step-by-step exclusion</b></td></tr><tr><td><b>Va... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Multivariate</b>", "bbox": [363, 8, 406, 18]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Univariate</b>", "bbox": [207, 40, 244, 49]}, {"cell": "<b>Before step-by-step exclusion</b>",... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\"3\"><b>N (%)</b></td><td><b>Difference in risk-standardized length of stay and 95%confidence intervals (in days)</b></td><td><b>P-value</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>2001</b></td><td><b>2006</b></td><td><b>2011</b></td><td>[EMPTY_CELL]</td><t... | <table><thead><tr><td>[EMPTY_CELL]</td><td colspan="3"><b>N (%)</b></td><td><b>Difference in risk-standardized length of stay and 95%confidence intervals (in days)</b></td><td><b>P-value</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>2001</b></td><td><b>2006</b></td><td><b>2011</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CEL... | [{"cell": "[EMPTY_CELL]", "bbox": [1, 4, 82, 13]}, {"cell": "<b>N (%)</b>", "bbox": [207, 4, 228, 13]}, {"cell": "<b>Difference in risk-standardized length of stay and 95%confidence intervals (in days)</b>", "bbox": [287, 4, 446, 22]}, {"cell": "<b>P-value</b>", "bbox": [457, 4, 484, 13]}, {"cell": "[EMPTY_CELL]", "bbo... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\"2\"><b>TargetP</b></td><td><b>Predotar</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Score</b></td><td><b>RC</b></td><td><b>Score</b></td></tr></thead><tbody><tr><td>Human</td><td>AAH21208</td><td>[EMPTY_CELL]</td><t... | <table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan="2"><b>TargetP</b></td><td><b>Predotar</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Score</b></td><td><b>RC</b></td><td><b>Score</b></td></tr></thead><tbody><tr><td>Human</td><td>AAH21208</td><td>[EMPTY_CELL]</td><td>[EMPTY_CEL... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>TargetP</b>", "bbox": [287, 5, 315, 14]}, {"cell": "<b>Predotar</b>", "bbox": [435, 5, 466, 14]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Score</b>", "bbox": [240, 27, 262, 36]}, {"... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Energetic contributions</b></td><td><b>KJ/mol</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>β225.117 Β± 11.889</td></tr><tr><td>[EMPTY_CELL]</td><td>β93.523 Β± 15.703</td></tr><tr><td>[EMPTY_CELL]</td><td>268.278 Β± 23.834</td></tr><tr><td>[EMPTY_CELL]</td><td>β21.201 Β± 0.721<... | <table><thead><tr><td><b>Energetic contributions</b></td><td><b>KJ/mol</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>β225.117 Β± 11.889</td></tr><tr><td>[EMPTY_CELL]</td><td>β93.523 Β± 15.703</td></tr><tr><td>[EMPTY_CELL]</td><td>268.278 Β± 23.834</td></tr><tr><td>[EMPTY_CELL]</td><td>β21.201 Β± 0.721</td></tr><... | [{"cell": "<b>Energetic contributions</b>", "bbox": [1, 4, 84, 14]}, {"cell": "<b>KJ/mol</b>", "bbox": [172, 4, 198, 14]}, {"cell": "[EMPTY_CELL]", "bbox": [1, 22, 69, 32]}, {"cell": "β225.117 Β± 11.889", "bbox": [172, 22, 236, 32]}, {"cell": "[EMPTY_CELL]", "bbox": [0, 34, 65, 44]}, {"cell": "β93.523 Β± 15.703", "bbox":... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td rowspan=\"2\"><b><i>Variable</i></b></td><td colspan=\"2\"><b><i>Normal weight at baseline (N= 557)</i></b></td><td colspan=\"2\"><b><i>Overweight at baseline (N=47)</i></b></td><td rowspan=\"2\"><b><i>Risk ratio for overweight vs. normal weight (95% CI)</i></b></td></tr><tr><td><b><i>Cu... | <table><thead><tr><td rowspan="2"><b><i>Variable</i></b></td><td colspan="2"><b><i>Normal weight at baseline (N= 557)</i></b></td><td colspan="2"><b><i>Overweight at baseline (N=47)</i></b></td><td rowspan="2"><b><i>Risk ratio for overweight vs. normal weight (95% CI)</i></b></td></tr><tr><td><b><i>Cumulative incidence... | [{"cell": "<b><i>Variable</i></b>", "bbox": [5, 1, 45, 14]}, {"cell": "<b><i>Normal weight at baseline (N= 557)</i></b>", "bbox": [94, 4, 202, 24]}, {"cell": "<b><i>Overweight at baseline (N=47)</i></b>", "bbox": [259, 4, 353, 24]}, {"cell": "<b><i>Risk ratio for overweight vs. normal weight (95% CI)</i></b>", "bbox": ... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Urinary cadmium (ΞΌg/g creatinine)<sup><i>a</i></sup></b></td><td><b><i>n</i></b></td><td><b><i>n</i> (%)<sup><i>b</i></sup></b></td><td><b>OR<sup><i>c</i></sup> (95% CI)</b></td></tr></thead><tbody><tr><td><b>Low (< 0.29)</b></td><td>[EMPTY_CELL]</td><td>32 (16.2)</td><td>[EMPTY_CE... | <table><thead><tr><td><b>Urinary cadmium (ΞΌg/g creatinine)<sup><i>a</i></sup></b></td><td><b><i>n</i></b></td><td><b><i>n</i> (%)<sup><i>b</i></sup></b></td><td><b>OR<sup><i>c</i></sup> (95% CI)</b></td></tr></thead><tbody><tr><td><b>Low (< 0.29)</b></td><td>[EMPTY_CELL]</td><td>32 (16.2)</td><td>[EMPTY_CELL]</td></... | [{"cell": "<b>Urinary cadmium (ΞΌg/g creatinine)<sup><i>a</i></sup></b>", "bbox": [3, 2, 105, 13]}, {"cell": "<b><i>n</i></b>", "bbox": [171, 4, 177, 13]}, {"cell": "<b><i>n</i> (%)<sup><i>b</i></sup></b>", "bbox": [226, 2, 246, 13]}, {"cell": "<b>OR<sup><i>c</i></sup> (95% CI)</b>", "bbox": [296, 2, 335, 13]}, {"cell":... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Measure</b></td><td><b>Increase on blood pressure (mmHg)</b></td><td><b>% Compliance<sup>1</sup></b></td><td><b>Comment</b></td></tr></thead><tbody><tr><td>Fluid (water) intake</td><td>15β25</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Salt Intake</td><td>10β15</td><td>[... | <table><thead><tr><td><b>Measure</b></td><td><b>Increase on blood pressure (mmHg)</b></td><td><b>% Compliance<sup>1</sup></b></td><td><b>Comment</b></td></tr></thead><tbody><tr><td>Fluid (water) intake</td><td>15β25</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Salt Intake</td><td>10β15</td><td>[EMPTY_CELL... | [{"cell": "<b>Measure</b>", "bbox": [1, 6, 33, 16]}, {"cell": "<b>Increase on blood pressure (mmHg)</b>", "bbox": [128, 6, 192, 27]}, {"cell": "<b>% Compliance<sup>1</sup></b>", "bbox": [227, 5, 283, 16]}, {"cell": "<b>Comment</b>", "bbox": [306, 6, 343, 16]}, {"cell": "Fluid (water) intake", "bbox": [1, 36, 66, 45]}, ... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Method</b></td><td><b>Gene (mutation)</b></td><td><b>Analytical sensitivity (% of mutated copies)</b></td><td><b>References</b></td></tr></thead><tbody><tr><td>Quantitative real-time clamp reverse transcription PCR</td><td>[EMPTY_CELL]</td><td>0.001%</td><td>[EMPTY_CELL]</td></tr><tr>... | <table><thead><tr><td><b>Method</b></td><td><b>Gene (mutation)</b></td><td><b>Analytical sensitivity (% of mutated copies)</b></td><td><b>References</b></td></tr></thead><tbody><tr><td>Quantitative real-time clamp reverse transcription PCR</td><td>[EMPTY_CELL]</td><td>0.001%</td><td>[EMPTY_CELL]</td></tr><tr><td>AS-PCR... | [{"cell": "<b>Method</b>", "bbox": [2, 9, 33, 20]}, {"cell": "<b>Gene (mutation)</b>", "bbox": [175, 9, 237, 20]}, {"cell": "<b>Analytical sensitivity (% of mutated copies)</b>", "bbox": [313, 4, 411, 25]}, {"cell": "<b>References</b>", "bbox": [458, 8, 499, 19]}, {"cell": "Quantitative real-time clamp reverse transcri... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Procedure</b></td><td><b>Hysterectomy</b></td><td><b>Myomectomy</b></td><td><b>Uterine artery embolization (UAE)</b></td><td><b>MRgFUS</b></td></tr></thead><tbody><tr><td>Description</td><td>Surgical removal of the uterus with or without the cervix. There are several different surgica... | <table><thead><tr><td><b>Procedure</b></td><td><b>Hysterectomy</b></td><td><b>Myomectomy</b></td><td><b>Uterine artery embolization (UAE)</b></td><td><b>MRgFUS</b></td></tr></thead><tbody><tr><td>Description</td><td>Surgical removal of the uterus with or without the cervix. There are several different surgical approach... | [{"cell": "<b>Procedure</b>", "bbox": [2, 9, 41, 20]}, {"cell": "<b>Hysterectomy</b>", "bbox": [108, 9, 160, 20]}, {"cell": "<b>Myomectomy</b>", "bbox": [213, 9, 264, 20]}, {"cell": "<b>Uterine artery embolization (UAE)</b>", "bbox": [292, 4, 394, 25]}, {"cell": "<b>MRgFUS</b>", "bbox": [430, 9, 466, 20]}, {"cell": "De... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\"2\"><b>B6 Background</b></td><td colspan=\"2\"><b>Mixed Background</b></td></tr></thead><tbody><tr><td><i>Cftr</i></td><td>Observed</td><td>Expected</td><td>Observed</td><td>Expected</td></tr><tr><td>+/+</td><td>240</td><td>201</td><td>57</td><td>52</td></t... | <table><thead><tr><td>[EMPTY_CELL]</td><td colspan="2"><b>B6 Background</b></td><td colspan="2"><b>Mixed Background</b></td></tr></thead><tbody><tr><td><i>Cftr</i></td><td>Observed</td><td>Expected</td><td>Observed</td><td>Expected</td></tr><tr><td>+/+</td><td>240</td><td>201</td><td>57</td><td>52</td></tr><tr><td>+/-<... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>B6 Background</b>", "bbox": [175, 4, 227, 14]}, {"cell": "<b>Mixed Background</b>", "bbox": [368, 4, 433, 14]}, {"cell": "<i>Cftr</i>", "bbox": [45, 27, 58, 36]}, {"cell": "Observed", "bbox": [134, 27, 169, 36]}, {"cell": "Expected", "bbox": [235, 27, 267, 36]}, {"cel... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Control (n = 138)</b></td><td><b>Intervention (n = 134)</b></td><td><b>95% CI of the difference</b></td></tr></thead><tbody><tr><td>Change in working ability (%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Much better</td><td>1<... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>Control (n = 138)</b></td><td><b>Intervention (n = 134)</b></td><td><b>95% CI of the difference</b></td></tr></thead><tbody><tr><td>Change in working ability (%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Much better</td><td>1</td><td>4<... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Control (n = 138)</b>", "bbox": [109, 4, 139, 21]}, {"cell": "<b>Intervention (n = 134)</b>", "bbox": [147, 4, 185, 21]}, {"cell": "<b>95% CI of the difference</b>", "bbox": [194, 4, 238, 21]}, {"cell": "Change in working ability (%)", "bbox": [1, 28, 87, 37]}, {"cell... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td rowspan=\"2\"><b>Configuration</b></td><td colspan=\"3\"><b>Control Points</b></td><td colspan=\"3\"><b>Check Points</b></td></tr><tr><td><b>dX (m)</b></td><td><b>dY (m)</b></td><td><b>dZ (m)</b></td><td><b>dX (m)</b></td><td><b>dY (m)</b></td><td><b>dZ (m)</b></td></tr></thead><tbody><t... | <table><thead><tr><td rowspan="2"><b>Configuration</b></td><td colspan="3"><b>Control Points</b></td><td colspan="3"><b>Check Points</b></td></tr><tr><td><b>dX (m)</b></td><td><b>dY (m)</b></td><td><b>dZ (m)</b></td><td><b>dX (m)</b></td><td><b>dY (m)</b></td><td><b>dZ (m)</b></td></tr></thead><tbody><tr><td>I</td><td>... | [{"cell": "<b>Configuration</b>", "bbox": [11, 10, 70, 21]}, {"cell": "<b>Control Points</b>", "bbox": [132, 5, 194, 16]}, {"cell": "<b>Check Points</b>", "bbox": [303, 5, 359, 16]}, {"cell": "<b>dX (m)</b>", "bbox": [92, 21, 122, 32]}, {"cell": "<b>dY (m)</b>", "bbox": [148, 21, 178, 32]}, {"cell": "<b>dZ (m)</b>", "b... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td rowspan=\"3\">[EMPTY_CELL]</td><td colspan=\"2\"><b>Recommended Protein Intake</b></td><td colspan=\"2\"><b>Elevated Protein Intake</b></td></tr><tr><td><b>Pre</b></td><td><b>Post</b></td><td><b>Pre</b></td><td><b>Post</b></td></tr></thead><tbody><tr><td>Glucose AUC</td><td>22504 Β± 2062<... | <table><thead><tr><td rowspan="3">[EMPTY_CELL]</td><td colspan="2"><b>Recommended Protein Intake</b></td><td colspan="2"><b>Elevated Protein Intake</b></td></tr><tr><td><b>Pre</b></td><td><b>Post</b></td><td><b>Pre</b></td><td><b>Post</b></td></tr></thead><tbody><tr><td>Glucose AUC</td><td>22504 Β± 2062</td><td>21745 Β± ... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Recommended Protein Intake</b>", "bbox": [70, 4, 168, 14]}, {"cell": "<b>Elevated Protein Intake</b>", "bbox": [185, 4, 263, 14]}, {"cell": "<b>Pre</b>", "bbox": [86, 25, 99, 35]}, {"cell": "<b>Post</b>", "bbox": [138, 25, 153, 35]}, {"cell": "<b>Pre</b>", "bbox": [19... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Education, y</b></td><td><b>Total (N=667)</b></td><td><b>0 (n=145)a</b></td><td><b>1-4 (n=396)b</b></td><td><b>5-8 (n=62)c</b></td><td><b>>8 (n=64)d</b></td></tr></thead><tbody><tr><td>M-ACE (max 30)</td><td>14.6Β±7.0</td><td>8.8Β±4.0</td><td>14.8Β±6.2</td><td>19.4Β±5.9</td><td>[EMPTY_... | <table><thead><tr><td><b>Education, y</b></td><td><b>Total (N=667)</b></td><td><b>0 (n=145)a</b></td><td><b>1-4 (n=396)b</b></td><td><b>5-8 (n=62)c</b></td><td><b>>8 (n=64)d</b></td></tr></thead><tbody><tr><td>M-ACE (max 30)</td><td>14.6Β±7.0</td><td>8.8Β±4.0</td><td>14.8Β±6.2</td><td>19.4Β±5.9</td><td>[EMPTY_CELL]</td>... | [{"cell": "<b>Education, y</b>", "bbox": [6, 18, 50, 28]}, {"cell": "<b>Total (N=667)</b>", "bbox": [144, 7, 174, 28]}, {"cell": "<b>0 (n=145)a</b>", "bbox": [214, 7, 248, 28]}, {"cell": "<b>1-4 (n=396)b</b>", "bbox": [286, 7, 320, 28]}, {"cell": "<b>5-8 (n=62)c</b>", "bbox": [361, 7, 390, 28]}, {"cell": "<b>>8 (n=64)d... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td colspan=\"3\"><b>Colorectal cancer patients</b></td><td colspan=\"2\"><b>Patients with other disease</b></td><td colspan=\"2\"><b>Adenoma patients</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Subjects, n (%)</b></td><td>[EMPTY_CELL]</td><td><b>Subjects, n (%)</b></td... | <table><thead><tr><td colspan="3"><b>Colorectal cancer patients</b></td><td colspan="2"><b>Patients with other disease</b></td><td colspan="2"><b>Adenoma patients</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Subjects, n (%)</b></td><td>[EMPTY_CELL]</td><td><b>Subjects, n (%)</b></td><td>[EMPTY_CELL... | [{"cell": "<b>Colorectal cancer patients</b>", "bbox": [46, 4, 139, 13]}, {"cell": "<b>Patients with other disease</b>", "bbox": [225, 4, 321, 13]}, {"cell": "<b>Adenoma patients</b>", "bbox": [390, 4, 456, 13]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Subjects, n (%)</b... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>variable</b></td><td><b>cases (<i>n</i> = 426)</b></td><td><b>%</b></td><td><b>controls (<i>n</i> = 463)</b></td><td><b>%</b></td><td><b><i>P</i> value</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]<... | <table><thead><tr><td><b>variable</b></td><td><b>cases (<i>n</i> = 426)</b></td><td><b>%</b></td><td><b>controls (<i>n</i> = 463)</b></td><td><b>%</b></td><td><b><i>P</i> value</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>&l... | [{"cell": "<b>variable</b>", "bbox": [31, 5, 68, 15]}, {"cell": "<b>cases (<i>n</i> = 426)</b>", "bbox": [107, 5, 171, 15]}, {"cell": "<b>%</b>", "bbox": [216, 5, 228, 15]}, {"cell": "<b>controls (<i>n</i> = 463)</b>", "bbox": [266, 5, 343, 15]}, {"cell": "<b>%</b>", "bbox": [381, 5, 393, 15]}, {"cell": "<b><i>P</i> va... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Strain or plasmids</b></td><td><b>Genotype and relevant characteristics</b></td><td><b>Source or reference</b></td></tr></thead><tbody><tr><td><b><i>Listeria</i> strains</b></td><td>[EMPTY_CELL]</td></tr><tr><td>EGD</td><td><i>L. monocytogenes</i> virulent wild-type, MLST ST35</td><td... | <table><thead><tr><td><b>Strain or plasmids</b></td><td><b>Genotype and relevant characteristics</b></td><td><b>Source or reference</b></td></tr></thead><tbody><tr><td><b><i>Listeria</i> strains</b></td><td>[EMPTY_CELL]</td></tr><tr><td>EGD</td><td><i>L. monocytogenes</i> virulent wild-type, MLST ST35</td><td>W. Goebel... | [{"cell": "<b>Strain or plasmids</b>", "bbox": [1, 6, 63, 15]}, {"cell": "<b>Genotype and relevant characteristics</b>", "bbox": [80, 6, 157, 24]}, {"cell": "<b>Source or reference</b>", "bbox": [211, 6, 246, 24]}, {"cell": "<b><i>Listeria</i> strains</b>", "bbox": [1, 33, 52, 41]}, {"cell": "[EMPTY_CELL]", "bbox": []}... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td rowspan=\"2\"><b>S. No</b></td><td rowspan=\"2\">[EMPTY_CELL]</td><td><b>Cases (<i>n</i> = 25)</b></td><td><b>Control (<i>n</i> = 25)</b></td><td rowspan=\"2\"><b><i>P</i>-Value</b></td></tr><tr><td><b>30β32 weeks</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>(1)</td><td>Serum... | <table><thead><tr><td rowspan="2"><b>S. No</b></td><td rowspan="2">[EMPTY_CELL]</td><td><b>Cases (<i>n</i> = 25)</b></td><td><b>Control (<i>n</i> = 25)</b></td><td rowspan="2"><b><i>P</i>-Value</b></td></tr><tr><td><b>30β32 weeks</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>(1)</td><td>Serum Calcium (mg/dL)... | [{"cell": "<b>S. No</b>", "bbox": [2, 14, 24, 25]}, {"cell": "[EMPTY_CELL]", "bbox": [113, 14, 152, 25]}, {"cell": "<b>Cases (<i>n</i> = 25)</b>", "bbox": [246, 9, 304, 20]}, {"cell": "<b>Control (<i>n</i> = 25)</b>", "bbox": [355, 9, 418, 20]}, {"cell": "<b><i>P</i>-Value</b>", "bbox": [468, 14, 499, 25]}, {"cell": "<... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Section</b></td><td><b>Aspect</b></td><td><b>TP</b></td><td><b>FP</b></td><td><b>FN</b></td><td><b>Prec</b></td><td><b>Rec.</b></td><td><b>F1</b></td></tr></thead><tbody><tr><td>General Information</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td... | <table><thead><tr><td><b>Section</b></td><td><b>Aspect</b></td><td><b>TP</b></td><td><b>FP</b></td><td><b>FN</b></td><td><b>Prec</b></td><td><b>Rec.</b></td><td><b>F1</b></td></tr></thead><tbody><tr><td>General Information</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPT... | [{"cell": "<b>Section</b>", "bbox": [1, 5, 26, 14]}, {"cell": "<b>Aspect</b>", "bbox": [101, 5, 125, 14]}, {"cell": "<b>TP</b>", "bbox": [226, 5, 236, 14]}, {"cell": "<b>FP</b>", "bbox": [279, 5, 288, 14]}, {"cell": "<b>FN</b>", "bbox": [323, 5, 334, 14]}, {"cell": "<b>Prec</b>", "bbox": [369, 5, 385, 14]}, {"cell": "<... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Mean</b></td><td><b>Standard deviation</b></td></tr></thead><tbody><tr><td>Ventricular rate (bpm)</td><td>61.2</td><td>11.6</td></tr><tr><td>PR interval (ms)</td><td>159.3</td><td>33.7</td></tr><tr><td>QRS duration (ms)</td><td>99.1</td><td>10.0</td></tr><tr><td>Q... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>Mean</b></td><td><b>Standard deviation</b></td></tr></thead><tbody><tr><td>Ventricular rate (bpm)</td><td>61.2</td><td>11.6</td></tr><tr><td>PR interval (ms)</td><td>159.3</td><td>33.7</td></tr><tr><td>QRS duration (ms)</td><td>99.1</td><td>10.0</td></tr><tr><td>QT (ms)</td... | [{"cell": "[EMPTY_CELL]", "bbox": [1, 4, 46, 12]}, {"cell": "<b>Mean</b>", "bbox": [110, 4, 131, 12]}, {"cell": "<b>Standard deviation</b>", "bbox": [168, 4, 236, 12]}, {"cell": "Ventricular rate (bpm)", "bbox": [1, 17, 72, 26]}, {"cell": "61.2", "bbox": [110, 17, 125, 26]}, {"cell": "11.6", "bbox": [168, 17, 183, 26]}... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Molecule</b></td><td><b>EHOMO</b></td><td><b>ELUMO</b></td><td><b>Energy gap (ELUMO β EHOMO)</b></td><td><b>Ionization potential (I)</b></td><td><b>Electron affinity (A)</b></td></tr></thead><tbody><tr><td>BZ4</td><td>β 8.787</td><td>β 2.855</td><td>5.932</td><td>8.787</td><td>2.855</... | <table><thead><tr><td><b>Molecule</b></td><td><b>EHOMO</b></td><td><b>ELUMO</b></td><td><b>Energy gap (ELUMO β EHOMO)</b></td><td><b>Ionization potential (I)</b></td><td><b>Electron affinity (A)</b></td></tr></thead><tbody><tr><td>BZ4</td><td>β 8.787</td><td>β 2.855</td><td>5.932</td><td>8.787</td><td>2.855</td></tr><t... | [{"cell": "<b>Molecule</b>", "bbox": [1, 4, 34, 14]}, {"cell": "<b>EHOMO</b>", "bbox": [63, 4, 93, 14]}, {"cell": "<b>ELUMO</b>", "bbox": [120, 4, 147, 14]}, {"cell": "<b>Energy gap (ELUMO β EHOMO)</b>", "bbox": [174, 4, 284, 14]}, {"cell": "<b>Ionization potential (I)</b>", "bbox": [310, 4, 389, 14]}, {"cell": "<b>Ele... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Subsets of patient-control pairs</b></td><td><b>Number of common DMRs</b></td><td><b>% of common DMRs of all CpG islands</b></td><td><b>% of commonDMRs of defined DMRs in respective group</b></td></tr></thead><tbody><tr><td>Serbian pairs array data (females and males)</td><td>313</td>... | <table><thead><tr><td><b>Subsets of patient-control pairs</b></td><td><b>Number of common DMRs</b></td><td><b>% of common DMRs of all CpG islands</b></td><td><b>% of commonDMRs of defined DMRs in respective group</b></td></tr></thead><tbody><tr><td>Serbian pairs array data (females and males)</td><td>313</td><td>0.011<... | [{"cell": "<b>Subsets of patient-control pairs</b>", "bbox": [1, 4, 54, 31]}, {"cell": "<b>Number of common DMRs</b>", "bbox": [70, 4, 110, 31]}, {"cell": "<b>% of common DMRs of all CpG islands</b>", "bbox": [114, 4, 165, 31]}, {"cell": "<b>% of commonDMRs of defined DMRs in respective group</b>", "bbox": [169, 4, 237... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td rowspan=\"2\"><b>Group-interaction variable</b></td><td><b>Baseline M</b></td><td><b>Post-program M</b></td><td><b>Follow-up M</b></td></tr><tr><td><b>(n = 103)</b></td><td><b>(n = 103)</b></td><td><b>(n = 83)</b></td></tr></thead><tbody><tr><td>ATG-T</td><td>6.24 (SD Β± 1.08)</td><td>7.1... | <table><thead><tr><td rowspan="2"><b>Group-interaction variable</b></td><td><b>Baseline M</b></td><td><b>Post-program M</b></td><td><b>Follow-up M</b></td></tr><tr><td><b>(n = 103)</b></td><td><b>(n = 103)</b></td><td><b>(n = 83)</b></td></tr></thead><tbody><tr><td>ATG-T</td><td>6.24 (SD Β± 1.08)</td><td>7.19* (SD Β± 1.3... | [{"cell": "<b>Group-interaction variable</b>", "bbox": [5, 4, 69, 22]}, {"cell": "<b>Baseline M</b>", "bbox": [161, 4, 200, 13]}, {"cell": "<b>Post-program M</b>", "bbox": [287, 4, 346, 13]}, {"cell": "<b>Follow-up M</b>", "bbox": [433, 4, 479, 13]}, {"cell": "<b>(n = 103)</b>", "bbox": [165, 17, 196, 27]}, {"cell": "<... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\"2\"><b>Female N=1699</b></td><td colspan=\"2\"><b>Male N=1522</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td><b>Health behaviour</b></td><td>[EMPTY_CELL]</td><td><b>N</b></td><td>[EMPTY_CELL]</td><td><b>N</b></td><td>[EMPTY_CE... | <table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan="2"><b>Female N=1699</b></td><td colspan="2"><b>Male N=1522</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td><b>Health behaviour</b></td><td>[EMPTY_CELL]</td><td><b>N</b></td><td>[EMPTY_CELL]</td><td><b>N</b></td><td>[EMPTY_CELL]</td><td><b... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Female N=1699</b>", "bbox": [244, 4, 300, 13]}, {"cell": "<b>Male N=1522</b>", "bbox": [355, 4, 403, 13]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Health behaviour</b>", "bbox": [1, 17, 63, 26]}, {"cell": "[EMPTY_CELL]"... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>It must predict the rate of ageing. In other words, it would estimate where a person is in their total lifespan. Operationally, it must be a better predictor of lifespan than chronological age alone.</... | <table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>It must predict the rate of ageing. In other words, it would estimate where a person is in their total lifespan. Operationally, it must be a better predictor of lifespan than chronological age alone.</td></tr><t... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": [1, 4, 5, 12]}, {"cell": "It must predict the rate of ageing. In other words, it would estimate where a person is in their total lifespan. Operationally, it must be a better predictor of lifespan than chronolog... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td colspan=\"2\"><b>Region</b></td><td colspan=\"3\"><b>Mean peak coordinate</b></td><td><b><i>Z</i>-score</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b><i>x</i></b></td><td><b><i>y</i></b></td><td><b><i>z</i></b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td cols... | <table><thead><tr><td colspan="2"><b>Region</b></td><td colspan="3"><b>Mean peak coordinate</b></td><td><b><i>Z</i>-score</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b><i>x</i></b></td><td><b><i>y</i></b></td><td><b><i>z</i></b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td colspan="6"><i>Seq... | [{"cell": "<b>Region</b>", "bbox": [9, 8, 32, 16]}, {"cell": "<b>Mean peak coordinate</b>", "bbox": [127, 8, 197, 16]}, {"cell": "<b><i>Z</i>-score</b>", "bbox": [221, 8, 245, 16]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b><i>x</i></b>", "bbox": [127, 20, 132, 29]}, {"cel... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Baseline examination</b></td></tr></thead><tbody><tr><td>Males/females, <i>n</i></td><td>12/8</td></tr><tr><td>Age, years</td><td>30.5 Β± 2.0</td></tr><tr><td>Body mass index, kg/m2</td><td>25.9 Β± 0.5</td></tr><tr><td>Waist, cm</td><td>85 Β± 2</td></tr><tr><td>Visce... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>Baseline examination</b></td></tr></thead><tbody><tr><td>Males/females, <i>n</i></td><td>12/8</td></tr><tr><td>Age, years</td><td>30.5 Β± 2.0</td></tr><tr><td>Body mass index, kg/m2</td><td>25.9 Β± 0.5</td></tr><tr><td>Waist, cm</td><td>85 Β± 2</td></tr><tr><td>Visceral fat, k... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Baseline examination</b>", "bbox": [156, 4, 234, 15]}, {"cell": "Males/females, <i>n</i>", "bbox": [2, 18, 64, 28]}, {"cell": "12/8", "bbox": [186, 18, 204, 28]}, {"cell": "Age, years", "bbox": [2, 31, 40, 41]}, {"cell": "30.5 Β± 2.0", "bbox": [176, 31, 214, 41]}, {"ce... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td rowspan=\"2\"><b>Cultivar</b></td><td colspan=\"3\"><b>Ploidy</b></td><td colspan=\"2\"><b>Released [31]</b></td></tr><tr><td><b>Ecotype [32]</b></td><td><b>Level [33]</b></td><td><b>Origin [31]</b></td><td><b>Year</b></td><td><b>By</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><t... | <table><thead><tr><td rowspan="2"><b>Cultivar</b></td><td colspan="3"><b>Ploidy</b></td><td colspan="2"><b>Released [31]</b></td></tr><tr><td><b>Ecotype [32]</b></td><td><b>Level [33]</b></td><td><b>Origin [31]</b></td><td><b>Year</b></td><td><b>By</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</... | [{"cell": "<b>Cultivar</b>", "bbox": [2, 9, 34, 20]}, {"cell": "<b>Ploidy</b>", "bbox": [174, 4, 199, 15]}, {"cell": "<b>Released [31]</b>", "bbox": [382, 4, 430, 15]}, {"cell": "<b>Ecotype [32]</b>", "bbox": [85, 16, 132, 27]}, {"cell": "<b>Level [33]</b>", "bbox": [167, 16, 204, 27]}, {"cell": "<b>Origin [31]</b>", "... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td rowspan=\"3\"><b>Variables</b></td><td colspan=\"4\"><b>Men (<i>n</i> = 268)</b></td><td colspan=\"4\"><b>Women (<i>n</i> = 335)</b></td></tr><tr><td colspan=\"2\"><b>Crude</b></td><td colspan=\"2\"><b>Multivariable <sup>3</sup></b></td><td colspan=\"2\"><b>Crude</b></td><td colspan=\"2\... | <table><thead><tr><td rowspan="3"><b>Variables</b></td><td colspan="4"><b>Men (<i>n</i> = 268)</b></td><td colspan="4"><b>Women (<i>n</i> = 335)</b></td></tr><tr><td colspan="2"><b>Crude</b></td><td colspan="2"><b>Multivariable <sup>3</sup></b></td><td colspan="2"><b>Crude</b></td><td colspan="2"><b>Multivariable <sup>... | [{"cell": "<b>Variables</b>", "bbox": [115, 18, 151, 27]}, {"cell": "<b>Men (<i>n</i> = 268)</b>", "bbox": [321, 4, 373, 13]}, {"cell": "<b>Women (<i>n</i> = 335)</b>", "bbox": [478, 4, 541, 13]}, {"cell": "<b>Crude</b>", "bbox": [295, 19, 320, 27]}, {"cell": "<b>Multivariable <sup>3</sup></b>", "bbox": [361, 17, 419, ... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Adverse events *</b></td><td><b>Topiramate (N = 896) <i>N (%)</i></b></td></tr></thead><tbody><tr><td>Paresthesia/numbness</td><td>116 (12.9)</td></tr><tr><td>Nausea/vomiting</td><td>56 (6.2)</td></tr><tr><td>Cognitive impairment</td><td>48 (5.4)</td></tr><tr><td>Headache</td><td>46 (... | <table><thead><tr><td><b>Adverse events *</b></td><td><b>Topiramate (N = 896) <i>N (%)</i></b></td></tr></thead><tbody><tr><td>Paresthesia/numbness</td><td>116 (12.9)</td></tr><tr><td>Nausea/vomiting</td><td>56 (6.2)</td></tr><tr><td>Cognitive impairment</td><td>48 (5.4)</td></tr><tr><td>Headache</td><td>46 (5.1)</td><... | [{"cell": "<b>Adverse events *</b>", "bbox": [5, 5, 72, 14]}, {"cell": "<b>Topiramate (N = 896) <i>N (%)</i></b>", "bbox": [128, 5, 237, 14]}, {"cell": "Paresthesia/numbness", "bbox": [5, 27, 79, 36]}, {"cell": "116 (12.9)", "bbox": [128, 27, 164, 36]}, {"cell": "Nausea/vomiting", "bbox": [5, 37, 62, 47]}, {"cell": "56... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\"2\"><b>SL</b></td><td colspan=\"2\"><b>WASO</b></td><td colspan=\"2\"><b>TST</b></td><td colspan=\"2\"><b>SE</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Sleep diary</b></td><td><b>Actigraph</b></td><td><b>Sleep diary</b></td><td><b>Actigraph</b></td><td><b... | <table><thead><tr><td>[EMPTY_CELL]</td><td colspan="2"><b>SL</b></td><td colspan="2"><b>WASO</b></td><td colspan="2"><b>TST</b></td><td colspan="2"><b>SE</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Sleep diary</b></td><td><b>Actigraph</b></td><td><b>Sleep diary</b></td><td><b>Actigraph</b></td><td><b>Sleep diary</b></... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>SL</b>", "bbox": [111, 4, 122, 14]}, {"cell": "<b>WASO</b>", "bbox": [214, 4, 240, 14]}, {"cell": "<b>TST</b>", "bbox": [331, 4, 348, 14]}, {"cell": "<b>SE</b>", "bbox": [445, 4, 457, 14]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Sleep diary</b>", "bbox": [... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Yield (total ng)</b></td><td><b>rRNA (%)</b></td><td><b>cDNA median size (nt)</b></td></tr></thead><tbody><tr><td>Column A</td><td>399 Β± 19.9</td><td>42.2 Β± 11.5</td><td>2075 Β± 37.4</td></tr><tr><td>Column B</td><td>696 Β± 93</td><td>61 Β± 1.04</td><td>1483 Β± 132.1<... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>Yield (total ng)</b></td><td><b>rRNA (%)</b></td><td><b>cDNA median size (nt)</b></td></tr></thead><tbody><tr><td>Column A</td><td>399 Β± 19.9</td><td>42.2 Β± 11.5</td><td>2075 Β± 37.4</td></tr><tr><td>Column B</td><td>696 Β± 93</td><td>61 Β± 1.04</td><td>1483 Β± 132.1</td></tr><... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Yield (total ng)</b>", "bbox": [159, 5, 219, 14]}, {"cell": "<b>rRNA (%)</b>", "bbox": [294, 5, 333, 14]}, {"cell": "<b>cDNA median size (nt)</b>", "bbox": [393, 5, 483, 14]}, {"cell": "Column A", "bbox": [4, 27, 41, 35]}, {"cell": "399 Β± 19.9", "bbox": [170, 27, 208,... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Type of detail</b></td><td><b>Descriptive details</b></td><td><b>Elaborative details</b></td></tr></thead><tbody><tr><td>Action</td><td>Any detail referring to an action that is depicted in the photo (e.g., sitting, walking, standing, posing for the photo)</td><td>Any detail describin... | <table><thead><tr><td><b>Type of detail</b></td><td><b>Descriptive details</b></td><td><b>Elaborative details</b></td></tr></thead><tbody><tr><td>Action</td><td>Any detail referring to an action that is depicted in the photo (e.g., sitting, walking, standing, posing for the photo)</td><td>Any detail describing an actio... | [{"cell": "<b>Type of detail</b>", "bbox": [1, 7, 50, 16]}, {"cell": "<b>Descriptive details</b>", "bbox": [72, 7, 140, 16]}, {"cell": "<b>Elaborative details</b>", "bbox": [297, 7, 365, 16]}, {"cell": "Action", "bbox": [1, 26, 24, 35]}, {"cell": "Any detail referring to an action that is depicted in the photo (e.g., s... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td colspan=\"2\"><b>Celiac disease (<i>n</i> = 52)</b></td><td><b>Control(<i>n</i> = 50)</b></td><td><b><i>p</i></b></td></tr></thead><tbody><tr><td colspan=\"4\">MARSH classification</td></tr><tr><td> Marsh 3b</td><td>23 (45.1%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> M... | <table><thead><tr><td colspan="2"><b>Celiac disease (<i>n</i> = 52)</b></td><td><b>Control(<i>n</i> = 50)</b></td><td><b><i>p</i></b></td></tr></thead><tbody><tr><td colspan="4">MARSH classification</td></tr><tr><td> Marsh 3b</td><td>23 (45.1%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Marsh 3a</td><t... | [{"cell": "<b>Celiac disease (<i>n</i> = 52)</b>", "bbox": [1, 4, 73, 13]}, {"cell": "<b>Control(<i>n</i> = 50)</b>", "bbox": [143, 4, 192, 13]}, {"cell": "<b><i>p</i></b>", "bbox": [208, 4, 214, 13]}, {"cell": "MARSH classification", "bbox": [0, 17, 68, 27]}, {"cell": " Marsh 3b", "bbox": [8, 31, 40, 41]}, {"cell": "2... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Nanomaterial</b></td><td><b>Strategy</b></td><td><b>Animal model (cell type)</b></td><td><b>Main results</b></td><td><b>Bibliographic reference</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>PLGA nanoparticle to carry an anti-CD4 antibody</td><td>Female C57 endometriosis mou... | <table><thead><tr><td><b>Nanomaterial</b></td><td><b>Strategy</b></td><td><b>Animal model (cell type)</b></td><td><b>Main results</b></td><td><b>Bibliographic reference</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>PLGA nanoparticle to carry an anti-CD4 antibody</td><td>Female C57 endometriosis mouse model</... | [{"cell": "<b>Nanomaterial</b>", "bbox": [1, 6, 47, 15]}, {"cell": "<b>Strategy</b>", "bbox": [97, 6, 127, 15]}, {"cell": "<b>Animal model (cell type)</b>", "bbox": [193, 6, 275, 15]}, {"cell": "<b>Main results</b>", "bbox": [301, 6, 343, 15]}, {"cell": "<b>Bibliographic reference</b>", "bbox": [417, 6, 496, 15]}, {"ce... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td rowspan=\"2\"><b>Microorganism Type</b></td><td colspan=\"2\"><b>Group 1 * (40 Patients)</b></td><td colspan=\"2\"><b>Group 2 ** (40 Patients)</b></td></tr><tr><td><b>Conjunctival Culture</b></td><td><b>Nasal Culture</b></td><td><b>Conjunctival Culture</b></td><td><b>Nasal Culture</b></t... | <table><thead><tr><td rowspan="2"><b>Microorganism Type</b></td><td colspan="2"><b>Group 1 * (40 Patients)</b></td><td colspan="2"><b>Group 2 ** (40 Patients)</b></td></tr><tr><td><b>Conjunctival Culture</b></td><td><b>Nasal Culture</b></td><td><b>Conjunctival Culture</b></td><td><b>Nasal Culture</b></td></tr></thead><... | [{"cell": "<b>Microorganism Type</b>", "bbox": [20, 21, 107, 32]}, {"cell": "<b>Group 1 * (40 Patients)</b>", "bbox": [157, 5, 251, 16]}, {"cell": "<b>Group 2 ** (40 Patients)</b>", "bbox": [310, 5, 408, 16]}, {"cell": "<b>Conjunctival Culture</b>", "bbox": [137, 21, 192, 43]}, {"cell": "<b>Nasal Culture</b>", "bbox": ... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Number of sequences</b></td><td><b>% of total</b></td></tr></thead><tbody><tr><td colspan=\"3\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td>Reads after Newb... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>Number of sequences</b></td><td><b>% of total</b></td></tr></thead><tbody><tr><td colspan="3">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td>Reads after Newbler quality ... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Number of sequences</b>", "bbox": [167, 4, 206, 22]}, {"cell": "<b>% of total</b>", "bbox": [218, 4, 236, 22]}, {"cell": "[EMPTY_CELL]", "bbox": [1, 26, 144, 36]}, {"cell": "[EMPTY_CELL]", "bbox": [1, 40, 74, 50]}, {"cell": "[EMPTY_CELL]", "bbox": [180, 40, 206, 50]},... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Number of clones in third instar larvae</b></td><td><b>Number of clones in the adults</b></td></tr></thead><tbody><tr><td>d</td><td>ddaA (class III)</td><td>9</td><td>0</td></tr><tr><td>[EMPTY_CELL]</td><td>ddaB (class II)</td><td>8</td><td>0<... | <table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Number of clones in third instar larvae</b></td><td><b>Number of clones in the adults</b></td></tr></thead><tbody><tr><td>d</td><td>ddaA (class III)</td><td>9</td><td>0</td></tr><tr><td>[EMPTY_CELL]</td><td>ddaB (class II)</td><td>8</td><td>0</td></tr><... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Number of clones in third instar larvae</b>", "bbox": [136, 5, 288, 12]}, {"cell": "<b>Number of clones in the adults</b>", "bbox": [351, 5, 472, 12]}, {"cell": "d", "bbox": [8, 27, 14, 36]}, {"cell": "ddaA (class III)", "bbox": [... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\"2\"><b>Non-migration background</b></td><td colspan=\"2\"><b>Migration background</b></td></tr></thead><tbody><tr><td>Mean Age<sup>a</sup> Β± SD</td><td>63.84 (11.66)</td><td>[EMPTY_CELL]</td><td>60.21 (11.68)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CEL... | <table><thead><tr><td>[EMPTY_CELL]</td><td colspan="2"><b>Non-migration background</b></td><td colspan="2"><b>Migration background</b></td></tr></thead><tbody><tr><td>Mean Age<sup>a</sup> Β± SD</td><td>63.84 (11.66)</td><td>[EMPTY_CELL]</td><td>60.21 (11.68)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>n</... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Non-migration background</b>", "bbox": [159, 4, 249, 13]}, {"cell": "<b>Migration background</b>", "bbox": [358, 4, 432, 13]}, {"cell": "Mean Age<sup>a</sup> Β± SD", "bbox": [1, 15, 55, 27]}, {"cell": "63.84 (11.66)", "bbox": [159, 17, 201, 27]}, {"cell": "[EMPTY_CELL]... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>GRT</b></td><td><b>Heater</b></td><td><b><i>R</i><sub>0,ACR/trap</sub></b></td><td><b>Repeatability</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.998592</td><td>0.0039 %</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1.005046</td><td>0.010... | <table><thead><tr><td><b>GRT</b></td><td><b>Heater</b></td><td><b><i>R</i><sub>0,ACR/trap</sub></b></td><td><b>Repeatability</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.998592</td><td>0.0039 %</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1.005046</td><td>0.0108 %</td></... | [{"cell": "<b>GRT</b>", "bbox": [1, 4, 18, 13]}, {"cell": "<b>Heater</b>", "bbox": [52, 4, 76, 13]}, {"cell": "<b><i>R</i><sub>0,ACR/trap</sub></b>", "bbox": [111, 4, 144, 15]}, {"cell": "<b>Repeatability</b>", "bbox": [178, 4, 222, 13]}, {"cell": "[EMPTY_CELL]", "bbox": [1, 24, 7, 33]}, {"cell": "[EMPTY_CELL]", "bbox"... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>XG-102 dose</b></td><td><b>Placebo</b></td><td><b>10 ΞΌg/kg</b></td><td><b>40 ΞΌg/kg</b></td><td><b>80 ΞΌg/kg</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>6</td><td>6</td><td>6</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\"4\">[EMPTY_CELL]</td></tr><tr>... | <table><thead><tr><td><b>XG-102 dose</b></td><td><b>Placebo</b></td><td><b>10 ΞΌg/kg</b></td><td><b>40 ΞΌg/kg</b></td><td><b>80 ΞΌg/kg</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>6</td><td>6</td><td>6</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td colspan="4">[EMPTY_CELL]</td></tr><tr><td colspan=... | [{"cell": "<b>XG-102 dose</b>", "bbox": [1, 29, 45, 38]}, {"cell": "<b>Placebo</b>", "bbox": [110, 29, 137, 38]}, {"cell": "<b>10 ΞΌg/kg</b>", "bbox": [148, 18, 168, 38]}, {"cell": "<b>40 ΞΌg/kg</b>", "bbox": [179, 18, 199, 38]}, {"cell": "<b>80 ΞΌg/kg</b>", "bbox": [209, 18, 230, 38]}, {"cell": "[EMPTY_CELL]", "bbox": [1... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td rowspan=\"2\"><b>Study</b></td><td rowspan=\"2\"><b>Year</b></td><td rowspan=\"2\"><b>Country</b></td><td rowspan=\"2\"><b>EDSS</b></td><td rowspan=\"2\"><b>Duration</b></td><td rowspan=\"2\"><b>Total</b></td><td><b>MS</b></td><td rowspan=\"2\"><b>Women</b></td><td colspan=\"3\"><b>Contr... | <table><thead><tr><td rowspan="2"><b>Study</b></td><td rowspan="2"><b>Year</b></td><td rowspan="2"><b>Country</b></td><td rowspan="2"><b>EDSS</b></td><td rowspan="2"><b>Duration</b></td><td rowspan="2"><b>Total</b></td><td><b>MS</b></td><td rowspan="2"><b>Women</b></td><td colspan="3"><b>Control</b></td></tr><tr><td><b... | [{"cell": "<b>Study</b>", "bbox": [0, 8, 22, 18]}, {"cell": "<b>Year</b>", "bbox": [110, 8, 127, 18]}, {"cell": "<b>Country</b>", "bbox": [144, 8, 173, 18]}, {"cell": "<b>EDSS</b>", "bbox": [188, 8, 211, 18]}, {"cell": "<b>Duration</b>", "bbox": [232, 8, 263, 18]}, {"cell": "<b>Total</b>", "bbox": [278, 8, 297, 18]}, {... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\"2\"><b>Current Eligibility</b></td><td colspan=\"2\"><b>Cumulative Eligibility</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>(1)</b></td><td><b>(2)</b></td><td><b>(3)</b></td><td><b>(4)</b></td></tr></thead><tbody><tr><td>NBCT</td><td>0.0202βββ</td><td>0.028... | <table><thead><tr><td>[EMPTY_CELL]</td><td colspan="2"><b>Current Eligibility</b></td><td colspan="2"><b>Cumulative Eligibility</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>(1)</b></td><td><b>(2)</b></td><td><b>(3)</b></td><td><b>(4)</b></td></tr></thead><tbody><tr><td>NBCT</td><td>0.0202βββ</td><td>0.0280βββ</td><td>0... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Current Eligibility</b>", "bbox": [59, 7, 113, 15]}, {"cell": "<b>Cumulative Eligibility</b>", "bbox": [160, 7, 224, 15]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>(1)</b>", "bbox": [59, 24, 70, 32]}, {"cell": "<b>(2)</b>", "bbox": [110, 24, 120, 32]}, {"cel... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Case No.</b></td><td><b>Unit</b></td><td><b>Onset date</b></td><td><b>Symptoms</b></td><td><b>Serogroup</b></td><td><b>Outcome</b></td></tr></thead><tbody><tr><td>1</td><td>North of Scotland Scout</td><td>8 Aug</td><td>Conjunctivitis, Fever, Headache, Nausea</td><td>W (ST11)</td><td>R... | <table><thead><tr><td><b>Case No.</b></td><td><b>Unit</b></td><td><b>Onset date</b></td><td><b>Symptoms</b></td><td><b>Serogroup</b></td><td><b>Outcome</b></td></tr></thead><tbody><tr><td>1</td><td>North of Scotland Scout</td><td>8 Aug</td><td>Conjunctivitis, Fever, Headache, Nausea</td><td>W (ST11)</td><td>Remission</... | [{"cell": "<b>Case No.</b>", "bbox": [11, 10, 48, 19]}, {"cell": "<b>Unit</b>", "bbox": [98, 10, 116, 19]}, {"cell": "<b>Onset date</b>", "bbox": [165, 10, 210, 19]}, {"cell": "<b>Symptoms</b>", "bbox": [260, 10, 304, 19]}, {"cell": "<b>Serogroup</b>", "bbox": [360, 10, 404, 19]}, {"cell": "<b>Outcome</b>", "bbox": [43... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Total sample (<i>N</i> = 719)</b></td><td colspan=\"4\"><b>Cluster</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>1 (<i>n</i> = 282)</b></td><td><b>2 (<i>n</i> = 139)</b></td><td><b>3 (<i>n</i> = 262)</b></td><td><b>4 (<i>n</i> = 20)</b></td></t... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>Total sample (<i>N</i> = 719)</b></td><td colspan="4"><b>Cluster</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>1 (<i>n</i> = 282)</b></td><td><b>2 (<i>n</i> = 139)</b></td><td><b>3 (<i>n</i> = 262)</b></td><td><b>4 (<i>n</i> = 20)</b></td></tr></thead><t... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Total sample (<i>N</i> = 719)</b>", "bbox": [92, 6, 167, 15]}, {"cell": "<b>Cluster</b>", "bbox": [329, 6, 355, 15]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>1 (<i>n</i> = 282)</b>", "bbox": [199, 26, 235, 34]}, {"cell"... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Author, region</b></td><td><b>Study design, centers, patients, years</b></td><td><b><i>N</i></b></td><td><b>Objective</b></td><td><b>ISS (mean Β± SD or median/IQR)</b></td><td><b>Age (mean or median)</b></td><td><b>Sex male, <i>n</i> (%)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]... | <table><thead><tr><td><b>Author, region</b></td><td><b>Study design, centers, patients, years</b></td><td><b><i>N</i></b></td><td><b>Objective</b></td><td><b>ISS (mean Β± SD or median/IQR)</b></td><td><b>Age (mean or median)</b></td><td><b>Sex male, <i>n</i> (%)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>S... | [{"cell": "<b>Author, region</b>", "bbox": [1, 4, 49, 13]}, {"cell": "<b>Study design, centers, patients, years</b>", "bbox": [67, 4, 138, 22]}, {"cell": "<b><i>N</i></b>", "bbox": [161, 4, 167, 12]}, {"cell": "<b>Objective</b>", "bbox": [178, 4, 210, 13]}, {"cell": "<b>ISS (mean Β± SD or median/IQR)</b>", "bbox": [250,... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td colspan=\"2\" rowspan=\"2\">[EMPTY_CELL]</td><td rowspan=\"2\"><b>Total</b></td><td colspan=\"2\"><b>Reaction to allergens</b></td><td rowspan=\"2\"><b><i>p</i>-value</b></td></tr><tr><td><b>Positive (one or more reactions)</b></td><td><b>Negative</b></td></tr></thead><tbody><tr><td rows... | <table><thead><tr><td colspan="2" rowspan="2">[EMPTY_CELL]</td><td rowspan="2"><b>Total</b></td><td colspan="2"><b>Reaction to allergens</b></td><td rowspan="2"><b><i>p</i>-value</b></td></tr><tr><td><b>Positive (one or more reactions)</b></td><td><b>Negative</b></td></tr></thead><tbody><tr><td rowspan="2">[EMPTY_CELL]... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Total</b>", "bbox": [174, 4, 191, 13]}, {"cell": "<b>Reaction to allergens</b>", "bbox": [233, 4, 302, 13]}, {"cell": "<b><i>p</i>-value</b>", "bbox": [459, 4, 484, 13]}, {"cell": "<b>Positive (one or more reactions)</b>", "bbox": [233, 17, 338, 27]}, {"cell": "<b>Neg... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Collection Place</b></td><td><b>Region</b></td><td><b>Plant Number</b></td><td><b>Locality Code</b></td><td><b>CR%</b></td></tr></thead><tbody><tr><td>El Granel</td><td>La Palma</td><td>[EMPTY_CELL]</td><td>EG</td><td>48.28</td></tr><tr><td>El PalmarβTeno</td><td>Tenerife</td><td>[EMP... | <table><thead><tr><td><b>Collection Place</b></td><td><b>Region</b></td><td><b>Plant Number</b></td><td><b>Locality Code</b></td><td><b>CR%</b></td></tr></thead><tbody><tr><td>El Granel</td><td>La Palma</td><td>[EMPTY_CELL]</td><td>EG</td><td>48.28</td></tr><tr><td>El PalmarβTeno</td><td>Tenerife</td><td>[EMPTY_CELL]</... | [{"cell": "<b>Collection Place</b>", "bbox": [12, 5, 80, 16]}, {"cell": "<b>Region</b>", "bbox": [118, 5, 150, 16]}, {"cell": "<b>Plant Number</b>", "bbox": [193, 5, 253, 16]}, {"cell": "<b>Locality Code</b>", "bbox": [282, 5, 340, 16]}, {"cell": "<b>CR%</b>", "bbox": [388, 5, 411, 16]}, {"cell": "El Granel", "bbox": [... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Species</b></td><td><b>Reads assigned</b></td><td><b>Proportion [%]</b></td><td><b>Target value [%]</b></td><td><b>Difference abs. [%]</b></td><td><b>Difference rel. [%]</b></td></tr></thead><tbody><tr><td><b>Cattle</b></td><td>26,555</td><td>2.95</td><td>3</td><td>0.05</td><td>1.67</... | <table><thead><tr><td><b>Species</b></td><td><b>Reads assigned</b></td><td><b>Proportion [%]</b></td><td><b>Target value [%]</b></td><td><b>Difference abs. [%]</b></td><td><b>Difference rel. [%]</b></td></tr></thead><tbody><tr><td><b>Cattle</b></td><td>26,555</td><td>2.95</td><td>3</td><td>0.05</td><td>1.67</td></tr><t... | [{"cell": "<b>Species</b>", "bbox": [1, 4, 28, 13]}, {"cell": "<b>Reads assigned</b>", "bbox": [60, 4, 115, 13]}, {"cell": "<b>Proportion [%]</b>", "bbox": [146, 4, 199, 13]}, {"cell": "<b>Target value [%]</b>", "bbox": [231, 4, 290, 13]}, {"cell": "<b>Difference abs. [%]</b>", "bbox": [321, 4, 389, 13]}, {"cell": "<b>... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\"2\"><b>F<sub>PED</sub></b></td><td colspan=\"2\"><b>F<sub>EH</sub></b></td><td colspan=\"2\"><b>F<sub>VR</sub></b></td></tr><tr><td><b>Birth year</b></td><td><b>Mean Β± SD</b></td><td><b>Range</b></td><td><b>Mean Β± SD</b></td><td><b>Range</b></td><td><b>Mean... | <table><thead><tr><td>[EMPTY_CELL]</td><td colspan="2"><b>F<sub>PED</sub></b></td><td colspan="2"><b>F<sub>EH</sub></b></td><td colspan="2"><b>F<sub>VR</sub></b></td></tr><tr><td><b>Birth year</b></td><td><b>Mean Β± SD</b></td><td><b>Range</b></td><td><b>Mean Β± SD</b></td><td><b>Range</b></td><td><b>Mean Β± SD</b></td><t... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>F<sub>PED</sub></b>", "bbox": [53, 4, 68, 14]}, {"cell": "<b>F<sub>EH</sub></b>", "bbox": [196, 4, 208, 14]}, {"cell": "<b>F<sub>VR</sub></b>", "bbox": [348, 4, 360, 14]}, {"cell": "<b>Birth year</b>", "bbox": [1, 17, 33, 27]}, {"cell": "<b>Mean Β± SD</b>", "bbox": [53... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td rowspan=\"2\"><b>Tick species</b></td><td rowspan=\"2\"><b>Altitude</b></td><td colspan=\"4\"><b>Land use</b></td></tr><tr><td><b>Arable</b></td><td><b>Urban</b></td><td><b>Forest</b></td><td><b>Grassland</b></td></tr></thead><tbody><tr><td><i>I. canisuga</i></td><td>-0.09</td><td>0.09</... | <table><thead><tr><td rowspan="2"><b>Tick species</b></td><td rowspan="2"><b>Altitude</b></td><td colspan="4"><b>Land use</b></td></tr><tr><td><b>Arable</b></td><td><b>Urban</b></td><td><b>Forest</b></td><td><b>Grassland</b></td></tr></thead><tbody><tr><td><i>I. canisuga</i></td><td>-0.09</td><td>0.09</td><td>[EMPTY_CE... | [{"cell": "<b>Tick species</b>", "bbox": [1, 4, 40, 13]}, {"cell": "<b>Altitude</b>", "bbox": [70, 4, 98, 13]}, {"cell": "<b>Land use</b>", "bbox": [108, 4, 139, 13]}, {"cell": "<b>Arable</b>", "bbox": [108, 17, 130, 26]}, {"cell": "<b>Urban</b>", "bbox": [140, 17, 161, 26]}, {"cell": "<b>Forest</b>", "bbox": [171, 17,... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>HEV IgG negative <i>N</i> = 92</b></td><td><b>p-value</b></td></tr></thead><tbody><tr><td>Mean age, years</td><td>53 Β± 7</td><td>51 Β± 8</td><td>[EMPTY_CELL]</td></tr><tr><td>Male sex</td><td>45 (85 %)</td><td>64 (70 %)</td><td>[EMPTY_CELL]</td... | <table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>HEV IgG negative <i>N</i> = 92</b></td><td><b>p-value</b></td></tr></thead><tbody><tr><td>Mean age, years</td><td>53 Β± 7</td><td>51 Β± 8</td><td>[EMPTY_CELL]</td></tr><tr><td>Male sex</td><td>45 (85 %)</td><td>64 (70 %)</td><td>[EMPTY_CELL]</td></tr><tr>... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": [86, 4, 141, 22]}, {"cell": "<b>HEV IgG negative <i>N</i> = 92</b>", "bbox": [147, 4, 205, 22]}, {"cell": "<b>p-value</b>", "bbox": [211, 4, 236, 13]}, {"cell": "Mean age, years", "bbox": [1, 26, 54, 36]}, {"cell": "53 Β± 7", "bbox": [86, 26, 109, 3... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Mode</b></td><td><b>CE</b></td><td><b>PWR_UP</b></td><td><b>PRIM_RX</b></td><td><b>Register FIFO (First In First Out)</b></td></tr></thead><tbody><tr><td>TX mode</td><td>1</td><td>1</td><td>0</td><td>Data in TX FIFOs.Will empty all levels in TX FIFOs <sup>a</sup></td></tr><tr><td>TX m... | <table><thead><tr><td><b>Mode</b></td><td><b>CE</b></td><td><b>PWR_UP</b></td><td><b>PRIM_RX</b></td><td><b>Register FIFO (First In First Out)</b></td></tr></thead><tbody><tr><td>TX mode</td><td>1</td><td>1</td><td>0</td><td>Data in TX FIFOs.Will empty all levels in TX FIFOs <sup>a</sup></td></tr><tr><td>TX mode</td><t... | [{"cell": "<b>Mode</b>", "bbox": [23, 3, 52, 18]}, {"cell": "<b>CE</b>", "bbox": [130, 3, 147, 18]}, {"cell": "<b>PWR_UP</b>", "bbox": [208, 3, 255, 18]}, {"cell": "<b>PRIM_RX</b>", "bbox": [264, 3, 317, 18]}, {"cell": "<b>Register FIFO (First In First Out)</b>", "bbox": [326, 3, 488, 18]}, {"cell": "TX mode", "bbox": ... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Contrast</b></td><td><b>Single subject</b></td><td><b>Pooled</b></td><td><b>MTL (F)</b></td><td><b>MTL (R)</b></td></tr></thead><tbody><tr><td>CUE v OBJ</td><td>0.995</td><td>0.996</td><td><b>0.999</b></td><td><b>0.999</b></td></tr><tr><td>VAL v INVAL</td><td>0.657</td><td>0.755</td><... | <table><thead><tr><td><b>Contrast</b></td><td><b>Single subject</b></td><td><b>Pooled</b></td><td><b>MTL (F)</b></td><td><b>MTL (R)</b></td></tr></thead><tbody><tr><td>CUE v OBJ</td><td>0.995</td><td>0.996</td><td><b>0.999</b></td><td><b>0.999</b></td></tr><tr><td>VAL v INVAL</td><td>0.657</td><td>0.755</td><td>0.793</... | [{"cell": "<b>Contrast</b>", "bbox": [6, 5, 32, 13]}, {"cell": "<b>Single subject</b>", "bbox": [67, 5, 108, 13]}, {"cell": "<b>Pooled</b>", "bbox": [131, 5, 152, 13]}, {"cell": "<b>MTL (F)</b>", "bbox": [175, 5, 199, 13]}, {"cell": "<b>MTL (R)</b>", "bbox": [222, 5, 248, 13]}, {"cell": "CUE v OBJ", "bbox": [6, 18, 37,... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Region</b></td><td><b>2015</b></td><td><b>2006</b></td><td><b>% Change</b></td></tr></thead><tbody><tr><td>New England (CT, ME, MA, NH, RI, VT)</td><td>$2,719</td><td>$2,575</td><td>5%</td></tr><tr><td>Middle Atlantic (NJ, NY, PA)</td><td>$826</td><td>$2,336</td><td>β183%</td></tr><tr... | <table><thead><tr><td><b>Region</b></td><td><b>2015</b></td><td><b>2006</b></td><td><b>% Change</b></td></tr></thead><tbody><tr><td>New England (CT, ME, MA, NH, RI, VT)</td><td>$2,719</td><td>$2,575</td><td>5%</td></tr><tr><td>Middle Atlantic (NJ, NY, PA)</td><td>$826</td><td>$2,336</td><td>β183%</td></tr><tr><td>South... | [{"cell": "<b>Region</b>", "bbox": [0, 6, 26, 15]}, {"cell": "<b>2015</b>", "bbox": [146, 6, 164, 15]}, {"cell": "<b>2006</b>", "bbox": [179, 6, 197, 15]}, {"cell": "<b>% Change</b>", "bbox": [208, 6, 245, 15]}, {"cell": "New England (CT, ME, MA, NH, RI, VT)", "bbox": [0, 23, 120, 32]}, {"cell": "$2,719", "bbox": [143,... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Monoclonal NAb</b></td><td><b>Specificity</b></td><td><b>Epitope *</b></td><td><b>Residues Involved in Epitope Formation *</b></td><td><b>References</b></td></tr></thead><tbody><tr><td><b>Anti-E1</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</... | <table><thead><tr><td><b>Monoclonal NAb</b></td><td><b>Specificity</b></td><td><b>Epitope *</b></td><td><b>Residues Involved in Epitope Formation *</b></td><td><b>References</b></td></tr></thead><tbody><tr><td><b>Anti-E1</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><t... | [{"cell": "<b>Monoclonal NAb</b>", "bbox": [4, 7, 56, 33]}, {"cell": "<b>Specificity</b>", "bbox": [77, 15, 124, 26]}, {"cell": "<b>Epitope *</b>", "bbox": [198, 15, 241, 26]}, {"cell": "<b>Residues Involved in Epitope Formation *</b>", "bbox": [317, 7, 408, 33]}, {"cell": "<b>References</b>", "bbox": [436, 15, 485, 26... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Soil Type</b></td><td><b>N</b></td><td><b>Parameter</b></td><td><b>As</b></td><td><b>Cd</b></td><td>[EMPTY_CELL]</td><td><b>Hg</b></td><td><b>Ni</b></td><td><b>Pb</b></td><td><b>Zn</b></td></tr></thead><tbody><tr><td rowspan=\"4\">FAS</td><td rowspan=\"4\">100</td><td>Min</td><td>4.32... | <table><thead><tr><td><b>Soil Type</b></td><td><b>N</b></td><td><b>Parameter</b></td><td><b>As</b></td><td><b>Cd</b></td><td>[EMPTY_CELL]</td><td><b>Hg</b></td><td><b>Ni</b></td><td><b>Pb</b></td><td><b>Zn</b></td></tr></thead><tbody><tr><td rowspan="4">FAS</td><td rowspan="4">100</td><td>Min</td><td>4.32</td><td>0.09<... | [{"cell": "<b>Soil Type</b>", "bbox": [39, 4, 75, 14]}, {"cell": "<b>N</b>", "bbox": [118, 4, 127, 14]}, {"cell": "<b>Parameter</b>", "bbox": [137, 4, 177, 14]}, {"cell": "<b>As</b>", "bbox": [187, 4, 199, 14]}, {"cell": "<b>Cd</b>", "bbox": [213, 4, 226, 14]}, {"cell": "[EMPTY_CELL]", "bbox": [240, 4, 253, 14]}, {"cel... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\"2\"><b>Percent Identity <i><sup>a</sup></i></b></td></tr><tr><td><b>Protein</b></td><td><b>Virus</b></td><td><b>CORV</b></td><td><b>PLV</b></td></tr></thead><tbody><tr><td rowspan=\"2\">VP2</td><td>CMPV</td><td>92</td><td>87</td></tr><t... | <table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan="2"><b>Percent Identity <i><sup>a</sup></i></b></td></tr><tr><td><b>Protein</b></td><td><b>Virus</b></td><td><b>CORV</b></td><td><b>PLV</b></td></tr></thead><tbody><tr><td rowspan="2">VP2</td><td>CMPV</td><td>92</td><td>87</td></tr><tr><td>CORV</td... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Percent Identity <i><sup>a</sup></i></b>", "bbox": [225, 3, 306, 14]}, {"cell": "<b>Protein</b>", "bbox": [32, 19, 60, 29]}, {"cell": "<b>Virus</b>", "bbox": [120, 19, 142, 29]}, {"cell": "<b>CORV</b>", "bbox": [200, 19, 226, 29]}... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td rowspan=\"2\"><b>Variable</b></td><td rowspan=\"2\"><b>Options</b></td><td colspan=\"2\"><b>PCS</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>Step1 (Ξ²)</b></td><td><b>Step2 (Ξ²)</b></td><td><b>Step3 (Ξ²)</b></td></tr></thead><tbody><tr><td>Demographic characteristics</td><td>[EMPTY_CELL]</t... | <table><thead><tr><td rowspan="2"><b>Variable</b></td><td rowspan="2"><b>Options</b></td><td colspan="2"><b>PCS</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>Step1 (Ξ²)</b></td><td><b>Step2 (Ξ²)</b></td><td><b>Step3 (Ξ²)</b></td></tr></thead><tbody><tr><td>Demographic characteristics</td><td>[EMPTY_CELL]</td><td>[EMPTY_CEL... | [{"cell": "<b>Variable</b>", "bbox": [45, 14, 87, 26]}, {"cell": "<b>Options</b>", "bbox": [212, 14, 251, 26]}, {"cell": "<b>PCS</b>", "bbox": [377, 6, 400, 18]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Step1 (Ξ²)</b>", "bbox": [339, 18, 383, 35]}, {"cell": "<b>Step2 (Ξ²)</b>", "bbox": [393, 18, 437, 34]}, {"c... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Sample</b></td><td><b>Moisture content (%)</b></td><td><b>Hygroscopic moisture (g/100 g) (%)</b></td></tr></thead><tbody><tr><td>Maltodextrin</td><td>10.2281 Β± 0.04a</td><td>10.028 Β± 2.11a</td></tr><tr><td>Gum arabic</td><td>[EMPTY_CELL]</td><td>18.736 Β± 0.15b</td></tr><tr><td>Maltode... | <table><thead><tr><td><b>Sample</b></td><td><b>Moisture content (%)</b></td><td><b>Hygroscopic moisture (g/100 g) (%)</b></td></tr></thead><tbody><tr><td>Maltodextrin</td><td>10.2281 Β± 0.04a</td><td>10.028 Β± 2.11a</td></tr><tr><td>Gum arabic</td><td>[EMPTY_CELL]</td><td>18.736 Β± 0.15b</td></tr><tr><td>Maltodextrin + gu... | [{"cell": "<b>Sample</b>", "bbox": [1, 16, 26, 26]}, {"cell": "<b>Moisture content (%)</b>", "bbox": [72, 6, 112, 26]}, {"cell": "<b>Hygroscopic moisture (g/100 g) (%)</b>", "bbox": [154, 6, 230, 26]}, {"cell": "Maltodextrin", "bbox": [1, 34, 43, 43]}, {"cell": "10.2281 Β± 0.04a", "bbox": [72, 34, 130, 43]}, {"cell": "1... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Primer</b></td><td><b>Sequence 5<sup>β²</sup>to 3</b></td><td><b>Target of primer pair</b></td><td><b>PCR product, bp</b></td></tr></thead><tbody><tr><td>ASnifDF1</td><td>[EMPTY_CELL]</td><td><i>nifD</i></td><td>204</td></tr><tr><td>ASnifDR1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</t... | <table><thead><tr><td><b>Primer</b></td><td><b>Sequence 5<sup>β²</sup>to 3</b></td><td><b>Target of primer pair</b></td><td><b>PCR product, bp</b></td></tr></thead><tbody><tr><td>ASnifDF1</td><td>[EMPTY_CELL]</td><td><i>nifD</i></td><td>204</td></tr><tr><td>ASnifDR1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMP... | [{"cell": "<b>Primer</b>", "bbox": [1, 4, 25, 13]}, {"cell": "<b>Sequence 5<sup>β²</sup>to 3</b>", "bbox": [49, 3, 109, 13]}, {"cell": "<b>Target of primer pair</b>", "bbox": [139, 4, 180, 22]}, {"cell": "<b>PCR product, bp</b>", "bbox": [193, 4, 236, 22]}, {"cell": "ASnifDF1", "bbox": [1, 26, 31, 35]}, {"cell": "[EMPTY... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Electrode</b></td><td><b>Type of Carbon Nanomaterial</b></td><td>[EMPTY_CELL]</td><td><b>Sample</b></td><td><b>Technique</b></td><td><b>L.R.</b></td><td><b>LOD</b></td><td><b>Reference</b></td></tr></thead><tbody><tr><td>Au electrode</td><td>PAMAM G4-MWCNTs</td><td>human cellular prio... | <table><thead><tr><td><b>Electrode</b></td><td><b>Type of Carbon Nanomaterial</b></td><td>[EMPTY_CELL]</td><td><b>Sample</b></td><td><b>Technique</b></td><td><b>L.R.</b></td><td><b>LOD</b></td><td><b>Reference</b></td></tr></thead><tbody><tr><td>Au electrode</td><td>PAMAM G4-MWCNTs</td><td>human cellular prions protein... | [{"cell": "<b>Electrode</b>", "bbox": [0, 7, 36, 17]}, {"cell": "<b>Type of Carbon Nanomaterial</b>", "bbox": [52, 2, 110, 22]}, {"cell": "[EMPTY_CELL]", "bbox": [167, 7, 198, 17]}, {"cell": "<b>Sample</b>", "bbox": [279, 7, 308, 17]}, {"cell": "<b>Technique</b>", "bbox": [365, 7, 405, 17]}, {"cell": "<b>L.R.</b>", "bb... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td rowspan=\"3\"><b>Ejection Fraction (mean/SD)</b></td><td colspan=\"2\"><b>Echo 1 (<i>n</i> = 41)</b></td><td colspan=\"2\"><b>Echo 2 (<i>n</i> = 41)</b></td><td colspan=\"2\"><b>Echo 3 (<i>n</i> = 21)</b></td><td colspan=\"2\"><b>Controls (<i>n</i> = 38)</b></td></tr><tr><td colspan=\"2\... | <table><thead><tr><td rowspan="3"><b>Ejection Fraction (mean/SD)</b></td><td colspan="2"><b>Echo 1 (<i>n</i> = 41)</b></td><td colspan="2"><b>Echo 2 (<i>n</i> = 41)</b></td><td colspan="2"><b>Echo 3 (<i>n</i> = 21)</b></td><td colspan="2"><b>Controls (<i>n</i> = 38)</b></td></tr><tr><td colspan="2"><b>25% (9)</b></td><... | [{"cell": "<b>Ejection Fraction (mean/SD)</b>", "bbox": [7, 22, 144, 33]}, {"cell": "<b>Echo 1 (<i>n</i> = 41)</b>", "bbox": [165, 6, 238, 18]}, {"cell": "<b>Echo 2 (<i>n</i> = 41)</b>", "bbox": [272, 6, 345, 18]}, {"cell": "<b>Echo 3 (<i>n</i> = 21)</b>", "bbox": [380, 6, 453, 18]}, {"cell": "<b>Controls (<i>n</i> = 3... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.