Datasets:
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>74±10</td><td>0.04</td><td>0.06</td><td>[EMPTY_CELL]</td></tr><tr><td>Male, %</td><td>55</td><td>−0.09</td><td>−0.12</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>74±10</td><td>0.04</td><td>0.06</td><td>[EMPTY_CELL]</td></tr><tr><td>Male, %</td><td>55</td><td>−0.09</td><td>−0.12</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 – %)</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 – %)</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 – %)</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. |
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