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 |
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<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=\"3\"><b>Measuring rangem</b></td><td colspan=\"2\"><b>White sheet of paper</b></td><td colspan=\"2\"><b>Leaf of oilseed rape</b></td><td colspan=\"2\"><b>Sandy soil</b></td></tr><tr><td><b>STDWmm</b></td><td><b>CV%</b></td><td><b>STDWmm</b></td><td><b>CV%</b></td><... | <table><thead><tr><td colspan="2" rowspan="3"><b>Measuring rangem</b></td><td colspan="2"><b>White sheet of paper</b></td><td colspan="2"><b>Leaf of oilseed rape</b></td><td colspan="2"><b>Sandy soil</b></td></tr><tr><td><b>STDWmm</b></td><td><b>CV%</b></td><td><b>STDWmm</b></td><td><b>CV%</b></td><td><b>STDWmm</b></td... | [{"cell": "<b>Measuring rangem</b>", "bbox": [7, 26, 90, 56]}, {"cell": "<b>White sheet of paper</b>", "bbox": [117, 8, 225, 21]}, {"cell": "<b>Leaf of oilseed rape</b>", "bbox": [246, 8, 349, 21]}, {"cell": "<b>Sandy soil</b>", "bbox": [381, 8, 435, 21]}, {"cell": "<b>STDWmm</b>", "bbox": [121, 26, 157, 56]}, {"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>Participants (<i>N</i> = 200)</b></td><td><b>Non-participants (<i>N</i> = 86)</b></td><td><b>Statistic</b></td><td><b><i>p</i></b></td></tr></thead><tbody><tr><td>Median age (Q<sub>3</sub>-Q<sub>1</sub>)</td><td>[EMPTY_CELL]</td><td>35.5 (46–27)</td><td>[EMPTY_CEL... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>Participants (<i>N</i> = 200)</b></td><td><b>Non-participants (<i>N</i> = 86)</b></td><td><b>Statistic</b></td><td><b><i>p</i></b></td></tr></thead><tbody><tr><td>Median age (Q<sub>3</sub>-Q<sub>1</sub>)</td><td>[EMPTY_CELL]</td><td>35.5 (46–27)</td><td>[EMPTY_CELL]</td><td... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Participants (<i>N</i> = 200)</b>", "bbox": [221, 4, 290, 13]}, {"cell": "<b>Non-participants (<i>N</i> = 86)</b>", "bbox": [310, 4, 392, 13]}, {"cell": "<b>Statistic</b>", "bbox": [412, 4, 438, 13]}, {"cell": "<b><i>p</i></b>", "bbox": [470, 4, 476, 13]}, {"cell": "M... | 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\"><b>Original question</b></td><td rowspan=\"2\"><b>Item description</b></td><td colspan=\"5\"><b>Responses (%)</b></td></tr><tr><td><b>Never</b></td><td><b>Rarely</b></td><td><b>Some-times</b></td><td><b>Often</b></td><td><b>Mostly</b></td></tr></thead><tbody><... | <table><thead><tr><td colspan="2" rowspan="2"><b>Original question</b></td><td rowspan="2"><b>Item description</b></td><td colspan="5"><b>Responses (%)</b></td></tr><tr><td><b>Never</b></td><td><b>Rarely</b></td><td><b>Some-times</b></td><td><b>Often</b></td><td><b>Mostly</b></td></tr></thead><tbody><tr><td colspan="8"... | [{"cell": "<b>Original question</b>", "bbox": [1, 4, 57, 13]}, {"cell": "<b>Item description</b>", "bbox": [270, 4, 324, 13]}, {"cell": "<b>Responses (%)</b>", "bbox": [344, 4, 392, 13]}, {"cell": "<b>Never</b>", "bbox": [344, 17, 365, 27]}, {"cell": "<b>Rarely</b>", "bbox": [369, 17, 390, 27]}, {"cell": "<b>Some-times... | 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>Term</b></td><td><b>Id</b></td><td><b>Sample number</b></td><td><b><i>P</i>‐value</b></td></tr></thead><tbody><tr><td>Malaria</td><td>mmu05144</td><td>7</td><td>9.88E‐08</td></tr><tr><td>African trypanosomiasis</td><td>mmu05143</td><td>6</td><td>3.19E‐07</td></tr><tr><td>Allograft rej... | <table><thead><tr><td><b>Term</b></td><td><b>Id</b></td><td><b>Sample number</b></td><td><b><i>P</i>‐value</b></td></tr></thead><tbody><tr><td>Malaria</td><td>mmu05144</td><td>7</td><td>9.88E‐08</td></tr><tr><td>African trypanosomiasis</td><td>mmu05143</td><td>6</td><td>3.19E‐07</td></tr><tr><td>Allograft rejection</td... | [{"cell": "<b>Term</b>", "bbox": [4, 15, 24, 24]}, {"cell": "<b>Id</b>", "bbox": [121, 15, 130, 24]}, {"cell": "<b>Sample number</b>", "bbox": [171, 5, 198, 24]}, {"cell": "<b><i>P</i>‐value</b>", "bbox": [208, 15, 234, 24]}, {"cell": "Malaria", "bbox": [4, 29, 30, 38]}, {"cell": "mmu05144", "bbox": [121, 29, 161, 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>Serial number</b></td><td colspan=\"2\"><b>Native oxide on bare silicon</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Refractive index</b></td></tr><tr><td>1</td><td>[EMPTY_CELL]</td><td>1.443</td></tr></tbody></table>", "cells": [{"cell": "<b>Serial... | <table><thead><tr><td><b>Serial number</b></td><td colspan="2"><b>Native oxide on bare silicon</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Refractive index</b></td></tr><tr><td>1</td><td>[EMPTY_CELL]</td><td>1.443</td></tr></tbody></table> | [{"cell": "<b>Serial number</b>", "bbox": [0, 4, 27, 14]}, {"cell": "<b>Native oxide on bare silicon</b>", "bbox": [35, 4, 126, 14]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": [35, 19, 69, 29]}, {"cell": "<b>Refractive index</b>", "bbox": [77, 19, 132, 29]}, {"cell": "1", "bbox": [1, 33, 6,... | 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>Age group</b></td><td colspan=\"5\"><b>Private Schools</b></td><td>[EMPTY_CELL]</td><td colspan=\"5\">[EMPTY_CELL]</td></tr><tr><td colspan=\"2\"><b>Girls</b></td><td>[EMPTY_CELL]</td><td colspan=\"2\"><b>Boys</b></td><td>[EMPTY_CELL]</td><td colspan=\"2\"><b>Girls</b></... | <table><thead><tr><td rowspan="3"><b>Age group</b></td><td colspan="5"><b>Private Schools</b></td><td>[EMPTY_CELL]</td><td colspan="5">[EMPTY_CELL]</td></tr><tr><td colspan="2"><b>Girls</b></td><td>[EMPTY_CELL]</td><td colspan="2"><b>Boys</b></td><td>[EMPTY_CELL]</td><td colspan="2"><b>Girls</b></td><td>[EMPTY_CELL]</t... | [{"cell": "<b>Age group</b>", "bbox": [1, 47, 41, 57]}, {"cell": "<b>Private Schools</b>", "bbox": [196, 5, 255, 15]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": [373, 5, 429, 15]}, {"cell": "<b>Girls</b>", "bbox": [171, 20, 192, 30]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Boys<... | 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>Setting</b></td><td><b>Component mapping relationship.</b></td><td><b>Description</b></td></tr></thead><tbody><tr><td>0</td><td>Matches</td><td>The Query InChI matches the InChI assigned to the src_compound_id</td></tr><tr><td>1</td><td>Matches a component of</td><td>The Query InChI m... | <table><thead><tr><td><b>Setting</b></td><td><b>Component mapping relationship.</b></td><td><b>Description</b></td></tr></thead><tbody><tr><td>0</td><td>Matches</td><td>The Query InChI matches the InChI assigned to the src_compound_id</td></tr><tr><td>1</td><td>Matches a component of</td><td>The Query InChI matches a c... | [{"cell": "<b>Setting</b>", "bbox": [1, 4, 27, 13]}, {"cell": "<b>Component mapping relationship.</b>", "bbox": [33, 4, 155, 13]}, {"cell": "<b>Description</b>", "bbox": [161, 4, 203, 13]}, {"cell": "0", "bbox": [1, 17, 6, 27]}, {"cell": "Matches", "bbox": [33, 17, 62, 27]}, {"cell": "The Query InChI matches the InChI ... | 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>Study</b></td><td><b>Algorithm</b></td><td><b>Pre-Processing Technique</b></td><td><b>Learning</b></td><td><b>Max. Performance</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>[72]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Offline</td><td>Accuracy = 61.6%</td><td>Smart... | <table><thead><tr><td><b>Study</b></td><td><b>Algorithm</b></td><td><b>Pre-Processing Technique</b></td><td><b>Learning</b></td><td><b>Max. Performance</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>[72]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Offline</td><td>Accuracy = 61.6%</td><td>Smartphone</td>... | [{"cell": "<b>Study</b>", "bbox": [7, 7, 34, 18]}, {"cell": "<b>Algorithm</b>", "bbox": [52, 7, 98, 18]}, {"cell": "<b>Pre-Processing Technique</b>", "bbox": [120, 7, 233, 18]}, {"cell": "<b>Learning</b>", "bbox": [248, 7, 289, 18]}, {"cell": "<b>Max. Performance</b>", "bbox": [318, 7, 400, 18]}, {"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>Patient ID</b></td><td><b>Age</b></td><td><b>Gender</b></td><td><b>TCM syndromes</b></td><td><b>TCM syndrome types</b></td></tr></thead><tbody><tr><td>LH1</td><td>32</td><td>M</td><td>LGDHS</td><td>Excessive</td></tr><tr><td>LH2</td><td>48</td><td>M</td><td>LGDHS</td><td>Excessive</td... | <table><thead><tr><td><b>Patient ID</b></td><td><b>Age</b></td><td><b>Gender</b></td><td><b>TCM syndromes</b></td><td><b>TCM syndrome types</b></td></tr></thead><tbody><tr><td>LH1</td><td>32</td><td>M</td><td>LGDHS</td><td>Excessive</td></tr><tr><td>LH2</td><td>48</td><td>M</td><td>LGDHS</td><td>Excessive</td></tr><tr>... | [{"cell": "<b>Patient ID</b>", "bbox": [2, 4, 41, 15]}, {"cell": "<b>Age</b>", "bbox": [41, 4, 57, 15]}, {"cell": "<b>Gender</b>", "bbox": [61, 4, 90, 15]}, {"cell": "<b>TCM syndromes</b>", "bbox": [94, 4, 157, 15]}, {"cell": "<b>TCM syndrome types</b>", "bbox": [161, 4, 241, 15]}, {"cell": "LH1", "bbox": [2, 17, 19, 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>Variable</b></td><td><b>Total Sample N (%)</b></td><td><b>SBU 'Always', by Single Measure of Safety Belt Use N (%)</b></td><td><b>Chi Square</b></td><td><b>P value</b></td><td><b>SBU 'Always', by Multple Measure of Safety Belt Use N (%)</b></td><td><b>Chi Square</b></td><td><b>P value... | <table><thead><tr><td><b>Variable</b></td><td><b>Total Sample N (%)</b></td><td><b>SBU 'Always', by Single Measure of Safety Belt Use N (%)</b></td><td><b>Chi Square</b></td><td><b>P value</b></td><td><b>SBU 'Always', by Multple Measure of Safety Belt Use N (%)</b></td><td><b>Chi Square</b></td><td><b>P value</b></td><... | [{"cell": "<b>Variable</b>", "bbox": [4, 4, 39, 14]}, {"cell": "<b>Total Sample N (%)</b>", "bbox": [68, 4, 121, 23]}, {"cell": "<b>SBU 'Always', by Single Measure of Safety Belt Use N (%)</b>", "bbox": [130, 4, 184, 51]}, {"cell": "<b>Chi Square</b>", "bbox": [197, 4, 242, 14]}, {"cell": "<b>P value</b>", "bbox": [267... | 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>State</b></td><td><b>Region</b></td><td><b>Period</b></td><td><b>Number of cases</b></td><td><b>Gender/age</b></td><td><b>Reference</b></td></tr></thead><tbody><tr><td>Parana</td><td>Western</td><td>2008–2009</td><td>102</td><td>72 male and 30 female/18–81 years</td><td>Loth et al., 2... | <table><thead><tr><td><b>State</b></td><td><b>Region</b></td><td><b>Period</b></td><td><b>Number of cases</b></td><td><b>Gender/age</b></td><td><b>Reference</b></td></tr></thead><tbody><tr><td>Parana</td><td>Western</td><td>2008–2009</td><td>102</td><td>72 male and 30 female/18–81 years</td><td>Loth et al., 2011</td></... | [{"cell": "<b>State</b>", "bbox": [0, 2, 20, 11]}, {"cell": "<b>Region</b>", "bbox": [76, 2, 102, 11]}, {"cell": "<b>Period</b>", "bbox": [133, 2, 157, 11]}, {"cell": "<b>Number of cases</b>", "bbox": [181, 2, 240, 11]}, {"cell": "<b>Gender/age</b>", "bbox": [283, 2, 324, 11]}, {"cell": "<b>Reference</b>", "bbox": [422... | 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>Females</b></td><td><b>Males</b></td><td><b>Literature Source</b></td></tr></thead><tbody><tr><td>Lower oxidative stress level</td><td>Higher oxidative stress level</td><td>[EMPTY_CELL]</td></tr><tr><td>Lower oxidative stress biomarkers</td><td>Higher oxidative stress biomarkers</td><... | <table><thead><tr><td><b>Females</b></td><td><b>Males</b></td><td><b>Literature Source</b></td></tr></thead><tbody><tr><td>Lower oxidative stress level</td><td>Higher oxidative stress level</td><td>[EMPTY_CELL]</td></tr><tr><td>Lower oxidative stress biomarkers</td><td>Higher oxidative stress biomarkers</td><td>[EMPTY_... | [{"cell": "<b>Females</b>", "bbox": [2, 2, 32, 10]}, {"cell": "<b>Males</b>", "bbox": [201, 2, 223, 10]}, {"cell": "<b>Literature Source</b>", "bbox": [403, 2, 462, 10]}, {"cell": "Lower oxidative stress level", "bbox": [2, 15, 93, 25]}, {"cell": "Higher oxidative stress level", "bbox": [202, 15, 294, 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>[EMPTY_CELL]</td><td colspan=\"2\"><b><i>Matchline Distance To Agreement</i></b></td><td>[EMPTY_CELL]</td></tr><tr><td><b><i>Institution</i></b></td><td><b><i>Sagittal</i></b></td><td><b><i>Coronal</i></b></td><td><b><i>Criterion</i></b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><... | <table><thead><tr><td>[EMPTY_CELL]</td><td colspan="2"><b><i>Matchline Distance To Agreement</i></b></td><td>[EMPTY_CELL]</td></tr><tr><td><b><i>Institution</i></b></td><td><b><i>Sagittal</i></b></td><td><b><i>Coronal</i></b></td><td><b><i>Criterion</i></b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>4 mm</td>... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b><i>Matchline Distance To Agreement</i></b>", "bbox": [138, 5, 253, 16]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b><i>Institution</i></b>", "bbox": [2, 17, 37, 28]}, {"cell": "<b><i>Sagittal</i></b>", "bbox": [124, 17, 151, 28]}, {"cell": "<b><i>Coronal</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>[EMPTY_CELL]</td><td><b>Bed</b></td><td><b>Toilet</b></td><td><b>Breakfast</b></td><td><b>Shower</b></td><td><b>Drink</b></td><td><b>Dinner</b></td><td><b>Leave</b></td></tr></thead><tbody><tr><td>Bed</td><td>23</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPT... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>Bed</b></td><td><b>Toilet</b></td><td><b>Breakfast</b></td><td><b>Shower</b></td><td><b>Drink</b></td><td><b>Dinner</b></td><td><b>Leave</b></td></tr></thead><tbody><tr><td>Bed</td><td>23</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</t... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Bed</b>", "bbox": [60, 6, 80, 16]}, {"cell": "<b>Toilet</b>", "bbox": [89, 6, 118, 16]}, {"cell": "<b>Breakfast</b>", "bbox": [127, 6, 175, 16]}, {"cell": "<b>Shower</b>", "bbox": [184, 6, 221, 16]}, {"cell": "<b>Drink</b>", "bbox": [230, 6, 260, 16]}, {"cell": "<b>Di... | 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>Sample Size Group 1</b></td><td>[EMPTY_CELL]</td><td><b>Group 1 or Treatment</b></td><td><b>Group 2 or Control</b></td><td><b>Diff if H0</b></td><td><b>Diff if H1</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Power</b></td><td><b>N1</b></td><td... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>Sample Size Group 1</b></td><td>[EMPTY_CELL]</td><td><b>Group 1 or Treatment</b></td><td><b>Group 2 or Control</b></td><td><b>Diff if H0</b></td><td><b>Diff if H1</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Power</b></td><td><b>N1</b></td><td>[EMPTY_CE... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Sample Size Group 1</b>", "bbox": [42, 4, 86, 22]}, {"cell": "[EMPTY_CELL]", "bbox": [103, 4, 147, 22]}, {"cell": "<b>Group 1 or Treatment</b>", "bbox": [165, 4, 205, 22]}, {"cell": "<b>Group 2 or Control</b>", "bbox": [223, 4, 263, 22]}, {"cell": "<b>Diff if H0</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 colspan=\"3\">[EMPTY_CELL]</td><td colspan=\"2\"><b>GA</b></td><td colspan=\"2\"><b>SFS</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b><i>#genes</i></b></td><td><b><i>mean ± std</i></b></td><td><b><i>#genes</i></... | <table><thead><tr><td colspan="3">[EMPTY_CELL]</td><td colspan="2"><b>GA</b></td><td colspan="2"><b>SFS</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b><i>#genes</i></b></td><td><b><i>mean ± std</i></b></td><td><b><i>#genes</i></b></td></tr><tr>... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>GA</b>", "bbox": [217, 4, 229, 13]}, {"cell": "<b>SFS</b>", "bbox": [310, 4, 324, 13]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": [51, 17, 83, 27]}, {"cell": "[EMPTY_CELL]", "bbox": [113, 17, 153, 27]}, {"cell": "[EMPTY_CELL]", "bbox": [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><b>Case 1</b></td><td><b>Case 2</b></td><td><b>Case 3</b></td><td><b>Case 4</b></td><td><b>Case 5</b></td></tr></thead><tbody><tr><td>Gender</td><td>male</td><td>male</td><td>female</td><td>male</td><td>female</td></tr><tr><td>Age (years)</td><td>29</td><td>27</td><t... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>Case 1</b></td><td><b>Case 2</b></td><td><b>Case 3</b></td><td><b>Case 4</b></td><td><b>Case 5</b></td></tr></thead><tbody><tr><td>Gender</td><td>male</td><td>male</td><td>female</td><td>male</td><td>female</td></tr><tr><td>Age (years)</td><td>29</td><td>27</td><td>54</td><... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Case 1</b>", "bbox": [175, 3, 199, 11]}, {"cell": "<b>Case 2</b>", "bbox": [257, 3, 282, 11]}, {"cell": "<b>Case 3</b>", "bbox": [315, 3, 340, 11]}, {"cell": "<b>Case 4</b>", "bbox": [372, 3, 397, 11]}, {"cell": "<b>Case 5</b>", "bbox": [430, 3, 454, 11]}, {"cell": "G... | 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>Survey 1 <i>n = 679</i></b></td><td><b>Survey 2 <i>n = 747</i></b></td></tr></thead><tbody><tr><td><i>Gender (n, %)</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Women</td><td>298 (43.9 %)</td><td>[EMPTY_CELL]</td></tr><tr><td> Men</td><td>[EMPTY... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>Survey 1 <i>n = 679</i></b></td><td><b>Survey 2 <i>n = 747</i></b></td></tr></thead><tbody><tr><td><i>Gender (n, %)</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Women</td><td>298 (43.9 %)</td><td>[EMPTY_CELL]</td></tr><tr><td> Men</td><td>[EMPTY_CELL]</td... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Survey 1 <i>n = 679</i></b>", "bbox": [118, 4, 173, 13]}, {"cell": "<b>Survey 2 <i>n = 747</i></b>", "bbox": [182, 4, 236, 13]}, {"cell": "<i>Gender (n, %)</i>", "bbox": [1, 17, 44, 27]}, {"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>[EMPTY_CELL]</td><td colspan=\"2\"><b>Whole grain wheat sourdough bread</b></td><td colspan=\"2\"><b>White bread</b></td><td><b>P-value treatment effect<sup>2</sup></b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Day 1</b></td><td><b>Day 43</b></td><td><b>Day 1</b></td><td><b>Day 43</b></td... | <table><thead><tr><td>[EMPTY_CELL]</td><td colspan="2"><b>Whole grain wheat sourdough bread</b></td><td colspan="2"><b>White bread</b></td><td><b>P-value treatment effect<sup>2</sup></b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Day 1</b></td><td><b>Day 43</b></td><td><b>Day 1</b></td><td><b>Day 43</b></td><td>[EMPTY_CE... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Whole grain wheat sourdough bread</b>", "bbox": [93, 3, 226, 13]}, {"cell": "<b>White bread</b>", "bbox": [288, 3, 334, 13]}, {"cell": "<b>P-value treatment effect<sup>2</sup></b>", "bbox": [388, 6, 481, 15]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Day 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><b>DNA substrate</b></td><td><b>DNA sequence</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>Bottom strand</td><td>GGT CGA CTC TAG AGG ATC AGA TCT GGT ACC TCT AGA CTC GAG GCA TGC</td></tr><tr><td>[EMPTY_CELL]</td><td>Original Top</td><td>GCA TGC CTC GAG TCT ... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>DNA substrate</b></td><td><b>DNA sequence</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>Bottom strand</td><td>GGT CGA CTC TAG AGG ATC AGA TCT GGT ACC TCT AGA CTC GAG GCA TGC</td></tr><tr><td>[EMPTY_CELL]</td><td>Original Top</td><td>GCA TGC CTC GAG TCT AGA GGT AC... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>DNA substrate</b>", "bbox": [56, 5, 109, 14]}, {"cell": "<b>DNA sequence</b>", "bbox": [166, 5, 219, 14]}, {"cell": "[EMPTY_CELL]", "bbox": [0, 20, 9, 30]}, {"cell": "Bottom strand", "bbox": [56, 20, 107, 30]}, {"cell": "GGT CGA CTC TAG AGG ATC AGA TCT GGT ACC TCT AGA... | 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>Appearances in top 20 SNPs among 10 replicates</b></td><td><b>SNPs (genes), <i>m</i>=10</b></td></tr></thead><tbody><tr><td>9</td><td>C13S523 (<i>FLT1</i>)</td></tr><tr><td>8</td><td>C13S522 (<i>FLT1</i>)</td></tr><tr><td>5</td><td>C13S431 (<i>FLT1</i>)</td></tr><tr><td>4</td><td>C4S1... | <table><thead><tr><td><b>Appearances in top 20 SNPs among 10 replicates</b></td><td><b>SNPs (genes), <i>m</i>=10</b></td></tr></thead><tbody><tr><td>9</td><td>C13S523 (<i>FLT1</i>)</td></tr><tr><td>8</td><td>C13S522 (<i>FLT1</i>)</td></tr><tr><td>5</td><td>C13S431 (<i>FLT1</i>)</td></tr><tr><td>4</td><td>C4S1884 (<i>KD... | [{"cell": "<b>Appearances in top 20 SNPs among 10 replicates</b>", "bbox": [11, 4, 185, 13]}, {"cell": "<b>SNPs (genes), <i>m</i>=10</b>", "bbox": [306, 4, 377, 13]}, {"cell": "9", "bbox": [95, 17, 101, 26]}, {"cell": "C13S523 (<i>FLT1</i>)", "bbox": [317, 17, 367, 26]}, {"cell": "8", "bbox": [95, 29, 101, 38]}, {"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>Pathological subtype</b></td><td><b>IR</b></td><td><b>PG</b></td><td><b>SP</b></td><td><b>MT</b></td></tr></thead><tbody><tr><td>FIGO stage</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Advanced</td><td>Advanced</td></tr><tr><td>Location of main tumor</td><td>[EMPTY_CELL]</td><td>... | <table><thead><tr><td><b>Pathological subtype</b></td><td><b>IR</b></td><td><b>PG</b></td><td><b>SP</b></td><td><b>MT</b></td></tr></thead><tbody><tr><td>FIGO stage</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Advanced</td><td>Advanced</td></tr><tr><td>Location of main tumor</td><td>[EMPTY_CELL]</td><td>[EMPTY_CEL... | [{"cell": "<b>Pathological subtype</b>", "bbox": [1, 4, 69, 13]}, {"cell": "<b>IR</b>", "bbox": [113, 4, 120, 13]}, {"cell": "<b>PG</b>", "bbox": [223, 4, 234, 13]}, {"cell": "<b>SP</b>", "bbox": [334, 4, 344, 13]}, {"cell": "<b>MT</b>", "bbox": [445, 4, 457, 13]}, {"cell": "FIGO stage", "bbox": [1, 17, 37, 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>enzyme</b></td><td><b>bacteria</b></td><td><b>size (nm)</b></td><td><b>reference</b></td></tr></thead><tbody><tr><td>Pal</td><td><i>Streptococcus pneumonia</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EM... | <table><thead><tr><td><b>enzyme</b></td><td><b>bacteria</b></td><td><b>size (nm)</b></td><td><b>reference</b></td></tr></thead><tbody><tr><td>Pal</td><td><i>Streptococcus pneumonia</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]<... | [{"cell": "<b>enzyme</b>", "bbox": [8, 5, 36, 17]}, {"cell": "<b>bacteria</b>", "bbox": [125, 5, 155, 17]}, {"cell": "<b>size (nm)</b>", "bbox": [293, 5, 327, 17]}, {"cell": "<b>reference</b>", "bbox": [416, 5, 451, 17]}, {"cell": "Pal", "bbox": [8, 26, 19, 37]}, {"cell": "<i>Streptococcus pneumonia</i>", "bbox": [125,... | 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>Chamber position</b></td><td colspan=\"2\">[EMPTY_CELL]</td><td colspan=\"2\"><b>Measured</b></td><td colspan=\"2\"><b>Calculated/measured</b></td></tr><tr><td><b>Inner ring removed</b></td><td>[EMPTY_CELL]</td><td><b>Inner ring removed</b></td><td><b>All plugs removed</... | <table><thead><tr><td rowspan="2"><b>Chamber position</b></td><td colspan="2">[EMPTY_CELL]</td><td colspan="2"><b>Measured</b></td><td colspan="2"><b>Calculated/measured</b></td></tr><tr><td><b>Inner ring removed</b></td><td>[EMPTY_CELL]</td><td><b>Inner ring removed</b></td><td><b>All plugs removed</b></td><td><b>Inne... | [{"cell": "<b>Chamber position</b>", "bbox": [9, 15, 48, 38]}, {"cell": "[EMPTY_CELL]", "bbox": [112, 6, 156, 17]}, {"cell": "<b>Measured</b>", "bbox": [265, 6, 307, 17]}, {"cell": "<b>Calculated/measured</b>", "bbox": [394, 6, 481, 17]}, {"cell": "<b>Inner ring removed</b>", "bbox": [75, 23, 119, 47]}, {"cell": "[EMPT... | 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>Control</b></td><td colspan=\"2\"><b>Intervention</b></td><td colspan=\"2\"><b>Intervention + SMS</b></td><td><b><i>p</i></b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td><i>M</i></td><td>SD</td><td>[EMPTY_CELL]</td><td>SD</td><td><i>M</i></t... | <table><thead><tr><td>[EMPTY_CELL]</td><td colspan="2"><b>Control</b></td><td colspan="2"><b>Intervention</b></td><td colspan="2"><b>Intervention + SMS</b></td><td><b><i>p</i></b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td><i>M</i></td><td>SD</td><td>[EMPTY_CELL]</td><td>SD</td><td><i>M</i></td><td>[EMPTY_CEL... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Control</b>", "bbox": [161, 7, 190, 14]}, {"cell": "<b>Intervention</b>", "bbox": [260, 7, 305, 14]}, {"cell": "<b>Intervention + SMS</b>", "bbox": [368, 7, 439, 15]}, {"cell": "<b><i>p</i></b>", "bbox": [487, 8, 494, 16]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"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>Variables</b></td><td colspan=\"4\"><b>Odds ratio (95% CI)</b></td></tr><tr><td><b>Univariate</b></td><td><b><i>p</i>-value</b></td><td><b>Multivariate<sup>a</sup></b></td><td><b><i>p</i>-value</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>1.01 (0.97–1.06)</td... | <table><thead><tr><td rowspan="2"><b>Variables</b></td><td colspan="4"><b>Odds ratio (95% CI)</b></td></tr><tr><td><b>Univariate</b></td><td><b><i>p</i>-value</b></td><td><b>Multivariate<sup>a</sup></b></td><td><b><i>p</i>-value</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>1.01 (0.97–1.06)</td><td>0.48</td>... | [{"cell": "<b>Variables</b>", "bbox": [1, 4, 34, 13]}, {"cell": "<b>Odds ratio (95% CI)</b>", "bbox": [178, 4, 247, 13]}, {"cell": "<b>Univariate</b>", "bbox": [178, 20, 216, 29]}, {"cell": "<b><i>p</i>-value</b>", "bbox": [279, 20, 306, 30]}, {"cell": "<b>Multivariate<sup>a</sup></b>", "bbox": [356, 19, 403, 29]}, {"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>[EMPTY_CELL]</td><td><b>OverallN = 650</b></td><td>[EMPTY_CELL]</td><td><b>Malen = 347</b></td></tr></thead><tbody><tr><td><b>Ever Smoked</b></td><td>28.8(25.3 to 32.3)</td><td>18.5(14.3 to 23.3)</td><td>37.8(32.6 to 43.1)</td></tr><tr><td>[EMPTY_CELL]</td><td>8.5(6.3 to 10.9)</td><td>6.... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>OverallN = 650</b></td><td>[EMPTY_CELL]</td><td><b>Malen = 347</b></td></tr></thead><tbody><tr><td><b>Ever Smoked</b></td><td>28.8(25.3 to 32.3)</td><td>18.5(14.3 to 23.3)</td><td>37.8(32.6 to 43.1)</td></tr><tr><td>[EMPTY_CELL]</td><td>8.5(6.3 to 10.9)</td><td>6.3(3.8 to 9... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>OverallN = 650</b>", "bbox": [99, 4, 129, 22]}, {"cell": "[EMPTY_CELL]", "bbox": [149, 4, 178, 22]}, {"cell": "<b>Malen = 347</b>", "bbox": [199, 4, 228, 22]}, {"cell": "<b>Ever Smoked</b>", "bbox": [0, 26, 48, 35]}, {"cell": "28.8(25.3 to 32.3)", "bbox": [92, 26, 135... | 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>True positives</b></td><td><b>False positives</b></td><td><b>False negatives</b></td></tr></thead><tbody><tr><td>NucVoter</td><td>38217</td><td>34</td><td>10783</td></tr><tr><td>GeneTrack</td><td>38706</td><td>13</td><td>10294</td></tr><tr><td>NSeq</td><td>35114<... | <table><thead><tr><td><b>Method</b></td><td><b>True positives</b></td><td><b>False positives</b></td><td><b>False negatives</b></td></tr></thead><tbody><tr><td>NucVoter</td><td>38217</td><td>34</td><td>10783</td></tr><tr><td>GeneTrack</td><td>38706</td><td>13</td><td>10294</td></tr><tr><td>NSeq</td><td>35114</td><td>10... | [{"cell": "<b>Method</b>", "bbox": [2, 4, 33, 15]}, {"cell": "<b>True positives</b>", "bbox": [62, 4, 114, 15]}, {"cell": "<b>False positives</b>", "bbox": [123, 4, 176, 15]}, {"cell": "<b>False negatives</b>", "bbox": [186, 4, 241, 15]}, {"cell": "NucVoter", "bbox": [2, 17, 39, 27]}, {"cell": "38217", "bbox": [77, 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 colspan=\"5\"><b>Fatty acid composition (%)</b></td></tr><tr><td><b>Organic acid<sup>a</sup></b></td><td><b>Palmitic acid (C16:0)</b></td><td><b>Linoleic acid (C18:2)</b></td><td><b>Oleic acid (C18:1)</b></td><td><b>Stearic acid (C18:0)</b></td><td><b>Others</b></td>... | <table><thead><tr><td>[EMPTY_CELL]</td><td colspan="5"><b>Fatty acid composition (%)</b></td></tr><tr><td><b>Organic acid<sup>a</sup></b></td><td><b>Palmitic acid (C16:0)</b></td><td><b>Linoleic acid (C18:2)</b></td><td><b>Oleic acid (C18:1)</b></td><td><b>Stearic acid (C18:0)</b></td><td><b>Others</b></td></tr></thead... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Fatty acid composition (%)</b>", "bbox": [253, 4, 349, 13]}, {"cell": "<b>Organic acid<sup>a</sup></b>", "bbox": [1, 16, 49, 27]}, {"cell": "<b>Palmitic acid (C16:0)</b>", "bbox": [123, 17, 195, 27]}, {"cell": "<b>Linoleic acid (C18:2)</b>", "bbox": [210, 17, 281, 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>[EMPTY_CELL]</td><td><b>Entire patient group</b></td><td><b>ALS patients</b></td><td><b>ALS-FTD patients</b></td><td><b>FTD patients</b></td></tr></thead><tbody><tr><td>Number of samples</td><td>46</td><td>31</td><td>6</td><td>9</td></tr><tr><td>Familial cases</td><td>[EMPTY_CELL]</td><t... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>Entire patient group</b></td><td><b>ALS patients</b></td><td><b>ALS-FTD patients</b></td><td><b>FTD patients</b></td></tr></thead><tbody><tr><td>Number of samples</td><td>46</td><td>31</td><td>6</td><td>9</td></tr><tr><td>Familial cases</td><td>[EMPTY_CELL]</td><td>74%</td>... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Entire patient group</b>", "bbox": [171, 5, 241, 15]}, {"cell": "<b>ALS patients</b>", "bbox": [273, 5, 319, 15]}, {"cell": "<b>ALS-FTD patients</b>", "bbox": [351, 5, 417, 15]}, {"cell": "<b>FTD patients</b>", "bbox": [449, 5, 495, 15]}, {"cell": "Number of samples",... | 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>Included study</b></td><td rowspan=\"2\"><b>Ethnicity</b></td><td rowspan=\"2\"><b>group</b></td><td colspan=\"3\"><b>genotype</b></td><td colspan=\"2\"><b>Allele frequencies (%)</b></td><td rowspan=\"2\"><b>HWE(<i>P</i>)</b></td></tr><tr><td><b>GG</b></td><td><b>GT</b><... | <table><thead><tr><td rowspan="2"><b>Included study</b></td><td rowspan="2"><b>Ethnicity</b></td><td rowspan="2"><b>group</b></td><td colspan="3"><b>genotype</b></td><td colspan="2"><b>Allele frequencies (%)</b></td><td rowspan="2"><b>HWE(<i>P</i>)</b></td></tr><tr><td><b>GG</b></td><td><b>GT</b></td><td><b>TT</b></td>... | [{"cell": "<b>Included study</b>", "bbox": [24, 9, 64, 31]}, {"cell": "<b>Ethnicity</b>", "bbox": [92, 15, 133, 25]}, {"cell": "<b>group</b>", "bbox": [150, 15, 177, 25]}, {"cell": "<b>genotype</b>", "bbox": [221, 7, 261, 18]}, {"cell": "<b>Allele frequencies (%)</b>", "bbox": [306, 7, 402, 18]}, {"cell": "<b>HWE(<i>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>Cell line</b></td><td><b>AKT</b></td><td><b>ERK1/2</b></td><td><b>p70S6K</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>-</td><td>[EMPTY_CELL]</td><td>PE</td></tr><tr><td>HCC1954</td><td><b>PT</b>E</td><td><b>E</b></td><td><b>P</b>E</td></tr><tr><td>SKBR3</td><td><b>PTE</b><... | <table><thead><tr><td><b>Cell line</b></td><td><b>AKT</b></td><td><b>ERK1/2</b></td><td><b>p70S6K</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>-</td><td>[EMPTY_CELL]</td><td>PE</td></tr><tr><td>HCC1954</td><td><b>PT</b>E</td><td><b>E</b></td><td><b>P</b>E</td></tr><tr><td>SKBR3</td><td><b>PTE</b></td><td><b... | [{"cell": "<b>Cell line</b>", "bbox": [1, 5, 30, 14]}, {"cell": "<b>AKT</b>", "bbox": [159, 5, 175, 14]}, {"cell": "<b>ERK1/2</b>", "bbox": [302, 5, 329, 14]}, {"cell": "<b>p70S6K</b>", "bbox": [456, 5, 484, 14]}, {"cell": "[EMPTY_CELL]", "bbox": [1, 19, 22, 27]}, {"cell": "-", "bbox": [165, 19, 170, 27]}, {"cell": "[E... | 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><i>Classes</i></b></td><td><b><i>Area (ha) in 1985</i></b></td><td><b><i>Area (ha) in 2000</i></b></td><td><b><i>% Change (1985–2000)</i></b></td></tr></thead><tbody><tr><td>Water</td><td>343,654</td><td>343,513</td><td>−0.04</td></tr><tr><td>Crop land</td><td>16,495</td><td>23,974</t... | <table><thead><tr><td><b><i>Classes</i></b></td><td><b><i>Area (ha) in 1985</i></b></td><td><b><i>Area (ha) in 2000</i></b></td><td><b><i>% Change (1985–2000)</i></b></td></tr></thead><tbody><tr><td>Water</td><td>343,654</td><td>343,513</td><td>−0.04</td></tr><tr><td>Crop land</td><td>16,495</td><td>23,974</td><td>45.3... | [{"cell": "<b><i>Classes</i></b>", "bbox": [1, 16, 34, 27]}, {"cell": "<b><i>Area (ha) in 1985</i></b>", "bbox": [94, 10, 134, 33]}, {"cell": "<b><i>Area (ha) in 2000</i></b>", "bbox": [137, 10, 177, 33]}, {"cell": "<b><i>% Change (1985–2000)</i></b>", "bbox": [181, 10, 233, 33]}, {"cell": "Water", "bbox": [1, 35, 28, ... | 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>MSA+PD vs. CTRL</b></td><td colspan=\"2\"><b>PD vs. CTRL</b></td><td colspan=\"2\"><b>MSA vs. CTRL</b></td><td colspan=\"2\"><b>MSA vs. PD</b></td></tr><tr><td><b>DE miRNAs (TLDA)</b></td><td><b>Average FC (single assay) (<i>p</i>-value)</b></td><td><b>DE miRNAs (TLDA)</... | <table><thead><tr><td colspan="2"><b>MSA+PD vs. CTRL</b></td><td colspan="2"><b>PD vs. CTRL</b></td><td colspan="2"><b>MSA vs. CTRL</b></td><td colspan="2"><b>MSA vs. PD</b></td></tr><tr><td><b>DE miRNAs (TLDA)</b></td><td><b>Average FC (single assay) (<i>p</i>-value)</b></td><td><b>DE miRNAs (TLDA)</b></td><td><b>Aver... | [{"cell": "<b>MSA+PD vs. CTRL</b>", "bbox": [28, 9, 96, 18]}, {"cell": "<b>PD vs. CTRL</b>", "bbox": [166, 9, 211, 18]}, {"cell": "<b>MSA vs. CTRL</b>", "bbox": [291, 9, 343, 18]}, {"cell": "<b>MSA vs. PD</b>", "bbox": [424, 9, 468, 18]}, {"cell": "<b>DE miRNAs (TLDA)</b>", "bbox": [1, 26, 44, 47]}, {"cell": "<b>Averag... | 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>Total set</b></td><td><b>Filtered set</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>27,626</td><td>12,570</td></tr><tr><td>[EMPTY_CELL]</td><td>25,788</td><td>10,870</td></tr><tr><td>[EMPTY_CELL]</td><td>21,706</td><td>4,847</td></tr><tr><td>[EMPTY_CEL... | <table><thead><tr><td><b>Region</b></td><td><b>Total set</b></td><td><b>Filtered set</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>27,626</td><td>12,570</td></tr><tr><td>[EMPTY_CELL]</td><td>25,788</td><td>10,870</td></tr><tr><td>[EMPTY_CELL]</td><td>21,706</td><td>4,847</td></tr><tr><td>[EMPTY_CELL]</td><td... | [{"cell": "<b>Region</b>", "bbox": [1, 5, 25, 14]}, {"cell": "<b>Total set</b>", "bbox": [125, 5, 154, 14]}, {"cell": "<b>Filtered set</b>", "bbox": [199, 5, 236, 14]}, {"cell": "[EMPTY_CELL]", "bbox": [1, 19, 22, 29]}, {"cell": "27,626", "bbox": [125, 19, 148, 29]}, {"cell": "12,570", "bbox": [199, 19, 222, 29]}, {"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>[EMPTY_CELL]</td><td colspan=\"2\"><b><i>Lycaeides melissa</i></b></td><td colspan=\"4\"><b>JH <i>Lycaeides</i></b></td><td colspan=\"4\"><b><i>Lycaeides idas</i></b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>SIN</b></td><td><b>VIC</b></td><td><b>BCR</b></td><td><b>USL</b></td><td><b>BTB<... | <table><thead><tr><td>[EMPTY_CELL]</td><td colspan="2"><b><i>Lycaeides melissa</i></b></td><td colspan="4"><b>JH <i>Lycaeides</i></b></td><td colspan="4"><b><i>Lycaeides idas</i></b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>SIN</b></td><td><b>VIC</b></td><td><b>BCR</b></td><td><b>USL</b></td><td><b>BTB</b></td><td><b>M... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b><i>Lycaeides melissa</i></b>", "bbox": [42, 6, 99, 15]}, {"cell": "<b>JH <i>Lycaeides</i></b>", "bbox": [134, 6, 176, 15]}, {"cell": "<b><i>Lycaeides idas</i></b>", "bbox": [317, 6, 364, 15]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>SIN</b>", "bbox": [42, 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>Locustag</b></td><td><b>NaCl-stressed fold change</b></td><td><b>ABA-stressed fold change</b></td><td><b>ABRE element</b></td><td><b>Annotation</b></td></tr></thead><tbody><tr><td>AT4G10265</td><td>27.8632</td><td>4.5162</td><td>–</td><td>wound-responsive protein</td></tr><tr><td>AT5G... | <table><thead><tr><td><b>Locustag</b></td><td><b>NaCl-stressed fold change</b></td><td><b>ABA-stressed fold change</b></td><td><b>ABRE element</b></td><td><b>Annotation</b></td></tr></thead><tbody><tr><td>AT4G10265</td><td>27.8632</td><td>4.5162</td><td>–</td><td>wound-responsive protein</td></tr><tr><td>AT5G50360</td>... | [{"cell": "<b>Locustag</b>", "bbox": [12, 12, 53, 25]}, {"cell": "<b>NaCl-stressed fold change</b>", "bbox": [69, 4, 131, 33]}, {"cell": "<b>ABA-stressed fold change</b>", "bbox": [142, 4, 203, 33]}, {"cell": "<b>ABRE element</b>", "bbox": [216, 12, 282, 25]}, {"cell": "<b>Annotation</b>", "bbox": [365, 12, 415, 25]}, ... | 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>Groups</b></td><td><b>Overall</b></td><td><b>Apical Third</b></td></tr></thead><tbody><tr><td><b>Cold Lateral Condensation</b></td><td>19.6</td><td>5.5</td></tr><tr><td><b>Vertical Condensation</b></td><td>15.2</td><td>4.7</td></tr><tr><td><b>Obtura II</b></td><td>7.3</td><td>2.6</td>... | <table><thead><tr><td><b>Groups</b></td><td><b>Overall</b></td><td><b>Apical Third</b></td></tr></thead><tbody><tr><td><b>Cold Lateral Condensation</b></td><td>19.6</td><td>5.5</td></tr><tr><td><b>Vertical Condensation</b></td><td>15.2</td><td>4.7</td></tr><tr><td><b>Obtura II</b></td><td>7.3</td><td>2.6</td></tr><tr><... | [{"cell": "<b>Groups</b>", "bbox": [6, 4, 37, 15]}, {"cell": "<b>Overall</b>", "bbox": [127, 4, 157, 15]}, {"cell": "<b>Apical Third</b>", "bbox": [173, 4, 223, 15]}, {"cell": "<b>Cold Lateral Condensation</b>", "bbox": [6, 18, 110, 28]}, {"cell": "19.6", "bbox": [127, 18, 144, 28]}, {"cell": "5.5", "bbox": [173, 18, 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>Gene Symbol</b></td><td><b>Locus</b></td><td><b>Functional class</b></td><td><b>Max-flow</b></td><td><b>Cross reference (PDB)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>70861</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td... | <table><thead><tr><td><b>Gene Symbol</b></td><td><b>Locus</b></td><td><b>Functional class</b></td><td><b>Max-flow</b></td><td><b>Cross reference (PDB)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>70861</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPT... | [{"cell": "<b>Gene Symbol</b>", "bbox": [1, 4, 46, 13]}, {"cell": "<b>Locus</b>", "bbox": [79, 4, 100, 13]}, {"cell": "<b>Functional class</b>", "bbox": [141, 4, 193, 13]}, {"cell": "<b>Max-flow</b>", "bbox": [307, 4, 338, 13]}, {"cell": "<b>Cross reference (PDB)</b>", "bbox": [372, 4, 443, 13]}, {"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>Peak no</b></td><td><b>R.T., min.</b></td><td><b>Name of the compound</b></td><td><b>Peak Area %</b></td></tr></thead><tbody><tr><td>1.</td><td>10,186</td><td>Not identified</td><td>5,24</td></tr><tr><td>2.</td><td>10,222</td><td>MOME inositol</td><td>2,08</td></tr><tr><td>3.</td><td>... | <table><thead><tr><td><b>Peak no</b></td><td><b>R.T., min.</b></td><td><b>Name of the compound</b></td><td><b>Peak Area %</b></td></tr></thead><tbody><tr><td>1.</td><td>10,186</td><td>Not identified</td><td>5,24</td></tr><tr><td>2.</td><td>10,222</td><td>MOME inositol</td><td>2,08</td></tr><tr><td>3.</td><td>10,638</td... | [{"cell": "<b>Peak no</b>", "bbox": [1, 4, 28, 13]}, {"cell": "<b>R.T., min.</b>", "bbox": [50, 4, 80, 13]}, {"cell": "<b>Name of the compound</b>", "bbox": [102, 4, 183, 13]}, {"cell": "<b>Peak Area %</b>", "bbox": [443, 4, 484, 13]}, {"cell": "1.", "bbox": [1, 17, 8, 27]}, {"cell": "10,186", "bbox": [50, 17, 73, 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>[EMPTY_CELL]</td><td colspan=\"2\"><b>6-8 years (N = 47)</b></td><td colspan=\"2\"><b>9-12 years (N = 56)</b></td><td colspan=\"2\"><b>P value<sup>2</sup></b></td></tr><tr><td><b>Item</b></td><td><b>Mean ± SD</b></td><td><b>Sig.<sup>1</sup></b></td><td><b>Mean ± SD</b></td><td><b>Sig.<su... | <table><thead><tr><td>[EMPTY_CELL]</td><td colspan="2"><b>6-8 years (N = 47)</b></td><td colspan="2"><b>9-12 years (N = 56)</b></td><td colspan="2"><b>P value<sup>2</sup></b></td></tr><tr><td><b>Item</b></td><td><b>Mean ± SD</b></td><td><b>Sig.<sup>1</sup></b></td><td><b>Mean ± SD</b></td><td><b>Sig.<sup>1</sup></b></t... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>6-8 years (N = 47)</b>", "bbox": [139, 4, 201, 13]}, {"cell": "<b>9-12 years (N = 56)</b>", "bbox": [286, 4, 352, 13]}, {"cell": "<b>P value<sup>2</sup></b>", "bbox": [435, 2, 466, 13]}, {"cell": "<b>Item</b>", "bbox": [1, 17, 18, 27]}, {"cell": "<b>Mean ± SD</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>[EMPTY_CELL]</td><td><b>C-GP-DOX</b></td><td><b>C-GP-PEG-Dox</b></td><td><b>Dox solution</b></td></tr></thead><tbody><tr><td>Glandular hyperplasia</td><td>[EMPTY_CELL]</td><td>Mild</td><td>Mild</td></tr><tr><td>Infiltration of the inflammatory cells</td><td>[EMPTY_CELL]</td><td>Mild</td>... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>C-GP-DOX</b></td><td><b>C-GP-PEG-Dox</b></td><td><b>Dox solution</b></td></tr></thead><tbody><tr><td>Glandular hyperplasia</td><td>[EMPTY_CELL]</td><td>Mild</td><td>Mild</td></tr><tr><td>Infiltration of the inflammatory cells</td><td>[EMPTY_CELL]</td><td>Mild</td><td>Mild</... | [{"cell": "[EMPTY_CELL]", "bbox": [2, 5, 55, 26]}, {"cell": "<b>C-GP-DOX</b>", "bbox": [83, 9, 127, 19]}, {"cell": "<b>C-GP-PEG-Dox</b>", "bbox": [129, 9, 190, 19]}, {"cell": "<b>Dox solution</b>", "bbox": [192, 9, 241, 19]}, {"cell": "Glandular hyperplasia", "bbox": [2, 30, 84, 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><b>Bile Acid</b></td><td><b>Control (<i>n</i> = 10)</b></td><td><b>AD (<i>n</i> = 10)</b></td><td><b><i>p</i>-Value</b></td></tr></thead><tbody><tr><td><b>CA</b></td><td>0.16 ± 0.04</td><td>0.24 ± 0.1</td><td>0.39</td></tr><tr><td><b>CDCA</b></td><td>0.33 ± 0.11</td><td>0.65 ± 0.32</td><... | <table><thead><tr><td><b>Bile Acid</b></td><td><b>Control (<i>n</i> = 10)</b></td><td><b>AD (<i>n</i> = 10)</b></td><td><b><i>p</i>-Value</b></td></tr></thead><tbody><tr><td><b>CA</b></td><td>0.16 ± 0.04</td><td>0.24 ± 0.1</td><td>0.39</td></tr><tr><td><b>CDCA</b></td><td>0.33 ± 0.11</td><td>0.65 ± 0.32</td><td>0.41</t... | [{"cell": "<b>Bile Acid</b>", "bbox": [30, 5, 70, 14]}, {"cell": "<b>Control (<i>n</i> = 10)</b>", "bbox": [120, 5, 186, 16]}, {"cell": "<b>AD (<i>n</i> = 10)</b>", "bbox": [225, 5, 273, 16]}, {"cell": "<b><i>p</i>-Value</b>", "bbox": [307, 5, 340, 16]}, {"cell": "<b>CA</b>", "bbox": [42, 21, 57, 30]}, {"cell": "0.16 ±... | 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>Inclination direction</b></td><td><b>Root mean squared error (SD)</b></td><td><b>Mean difference</b></td><td><b>Lower limit of agreement</b></td><td><b>Upper limit of agreement</b></td></tr></thead><tbody><tr><td>Flexion</td><td>1.82 ± 1.00</td><td>0.42</td><td>-3.86</td><td>4.69</td>... | <table><thead><tr><td><b>Inclination direction</b></td><td><b>Root mean squared error (SD)</b></td><td><b>Mean difference</b></td><td><b>Lower limit of agreement</b></td><td><b>Upper limit of agreement</b></td></tr></thead><tbody><tr><td>Flexion</td><td>1.82 ± 1.00</td><td>0.42</td><td>-3.86</td><td>4.69</td></tr><tr><... | [{"cell": "<b>Inclination direction</b>", "bbox": [1, 4, 66, 13]}, {"cell": "<b>Root mean squared error (SD)</b>", "bbox": [91, 4, 189, 13]}, {"cell": "<b>Mean difference</b>", "bbox": [213, 4, 267, 13]}, {"cell": "<b>Lower limit of agreement</b>", "bbox": [292, 4, 376, 13]}, {"cell": "<b>Upper limit of agreement</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>NDE Scale features</b></td><td><b>“NDE-like” <i>n</i> = 50 (%)</b></td><td><b>“Real NDE” <i>n</i> = 140 (%)</b></td><td><b><i>p</i></b></td><td colspan=\"3\"><b>“Real NDE” etiologies</b></td><td><b><i>p</i></b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</t... | <table><thead><tr><td><b>NDE Scale features</b></td><td><b>“NDE-like” <i>n</i> = 50 (%)</b></td><td><b>“Real NDE” <i>n</i> = 140 (%)</b></td><td><b><i>p</i></b></td><td colspan="3"><b>“Real NDE” etiologies</b></td><td><b><i>p</i></b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY... | [{"cell": "<b>NDE Scale features</b>", "bbox": [0, 6, 70, 15]}, {"cell": "<b>“NDE-like” <i>n</i> = 50 (%)</b>", "bbox": [187, 6, 228, 26]}, {"cell": "<b>“Real NDE” <i>n</i> = 140 (%)</b>", "bbox": [240, 6, 283, 26]}, {"cell": "<b><i>p</i></b>", "bbox": [299, 8, 306, 15]}, {"cell": "<b>“Real NDE” etiologies</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>Item</b></td><td><b>Corn-based diet</b></td><td><b>Wheat-based diet</b></td><td><b>Barley-based diet</b></td><td><b>Rye-based diet</b></td><td><b>Oat-based diet</b></td></tr></thead><tbody><tr><td colspan=\"6\"><b>INGREDIENTS (g/kg)</b></td></tr><tr><td>Corn (80 g/kg CP)</td><td>[EMPT... | <table><thead><tr><td><b>Item</b></td><td><b>Corn-based diet</b></td><td><b>Wheat-based diet</b></td><td><b>Barley-based diet</b></td><td><b>Rye-based diet</b></td><td><b>Oat-based diet</b></td></tr></thead><tbody><tr><td colspan="6"><b>INGREDIENTS (g/kg)</b></td></tr><tr><td>Corn (80 g/kg CP)</td><td>[EMPTY_CELL]</td>... | [{"cell": "<b>Item</b>", "bbox": [1, 5, 17, 15]}, {"cell": "<b>Corn-based diet</b>", "bbox": [116, 5, 172, 15]}, {"cell": "<b>Wheat-based diet</b>", "bbox": [198, 5, 259, 15]}, {"cell": "<b>Barley-based diet</b>", "bbox": [285, 5, 346, 15]}, {"cell": "<b>Rye-based diet</b>", "bbox": [372, 5, 424, 15]}, {"cell": "<b>Oat... | 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>Profession</b></td><td><b>N of areas</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>Nurse FGDs</td><td>[EMPTY_CELL]</td><td>1200–9600</td></tr><tr><td>GP FGDs</td><td>[EMPTY_CELL]</td><td>1200–50,000</td></tr><tr><td>Team FGDs + interviews</td><td>[EMPTY_CELL]</td><td>2000–8... | <table><thead><tr><td><b>Profession</b></td><td><b>N of areas</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>Nurse FGDs</td><td>[EMPTY_CELL]</td><td>1200–9600</td></tr><tr><td>GP FGDs</td><td>[EMPTY_CELL]</td><td>1200–50,000</td></tr><tr><td>Team FGDs + interviews</td><td>[EMPTY_CELL]</td><td>2000–8000</td></... | [{"cell": "<b>Profession</b>", "bbox": [1, 4, 35, 13]}, {"cell": "<b>N of areas</b>", "bbox": [102, 4, 137, 13]}, {"cell": "[EMPTY_CELL]", "bbox": [159, 4, 236, 13]}, {"cell": "Nurse FGDs", "bbox": [1, 17, 40, 27]}, {"cell": "[EMPTY_CELL]", "bbox": [102, 17, 112, 27]}, {"cell": "1200–9600", "bbox": [159, 17, 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 colspan=\"2\">[EMPTY_CELL]</td><td><b>Mean 2014</b></td><td><b>Mean 2013</b></td><td><b>Difference in Means</b></td><td><b>t-value</b></td></tr></thead><tbody><tr><td rowspan=\"3\">State did not expand medicaid</td><td>Total Title X Clients Served</td><td>62,345</td><td>70,253</td><td>−7... | <table><thead><tr><td colspan="2">[EMPTY_CELL]</td><td><b>Mean 2014</b></td><td><b>Mean 2013</b></td><td><b>Difference in Means</b></td><td><b>t-value</b></td></tr></thead><tbody><tr><td rowspan="3">State did not expand medicaid</td><td>Total Title X Clients Served</td><td>62,345</td><td>70,253</td><td>−7908**</td><td>... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Mean 2014</b>", "bbox": [261, 4, 298, 13]}, {"cell": "<b>Mean 2013</b>", "bbox": [318, 4, 355, 13]}, {"cell": "<b>Difference in Means</b>", "bbox": [375, 4, 441, 13]}, {"cell": "<b>t-value</b>", "bbox": [461, 4, 484, 13]}, {"cell": "State did not expand medicaid", "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 rowspan=\"2\"><b><i>N</i></b></td><td rowspan=\"2\"><b>%</b></td><td><b>Model 1</b></td><td><b>Model 2</b></td><td><b>Model 3</b></td><td><b>Model 4</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>HR (95% CI)</b></td><td><b>HR (95% CI)</b></td><td><b>HR (95% CI)</b></td... | <table><thead><tr><td>[EMPTY_CELL]</td><td rowspan="2"><b><i>N</i></b></td><td rowspan="2"><b>%</b></td><td><b>Model 1</b></td><td><b>Model 2</b></td><td><b>Model 3</b></td><td><b>Model 4</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>HR (95% CI)</b></td><td><b>HR (95% CI)</b></td><td><b>HR (95% CI)</b></td><td><b>HR (95... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b><i>N</i></b>", "bbox": [161, 9, 169, 18]}, {"cell": "<b>%</b>", "bbox": [193, 9, 202, 20]}, {"cell": "<b>Model 1</b>", "bbox": [235, 4, 265, 15]}, {"cell": "<b>Model 2</b>", "bbox": [308, 4, 339, 15]}, {"cell": "<b>Model 3</b>", "bbox": [381, 4, 412, 15]}, {"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>Target gene</b></td><td><b>Forward primer</b></td><td><b>Reverse primer</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>5'(A/C/T)TIIIIG(C/G)IGGI(A/C/G)(A/G)I(C/G)AIACIACIGC-3'</td><td>5'-CCI(A/G)(A/G/T)(A/G)CAIIII(C/T)(G/T)II(C/G/T)ICCII(A/C/G)I (C/T)(C/T)(A/G)AAIGG-3'</td></... | <table><thead><tr><td><b>Target gene</b></td><td><b>Forward primer</b></td><td><b>Reverse primer</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>5'(A/C/T)TIIIIG(C/G)IGGI(A/C/G)(A/G)I(C/G)AIACIACIGC-3'</td><td>5'-CCI(A/G)(A/G/T)(A/G)CAIIII(C/T)(G/T)II(C/G/T)ICCII(A/C/G)I (C/T)(C/T)(A/G)AAIGG-3'</td></tr><tr><td... | [{"cell": "<b>Target gene</b>", "bbox": [5, 4, 49, 13]}, {"cell": "<b>Forward primer</b>", "bbox": [126, 4, 182, 13]}, {"cell": "<b>Reverse primer</b>", "bbox": [342, 4, 397, 13]}, {"cell": "[EMPTY_CELL]", "bbox": [3, 17, 52, 27]}, {"cell": "5'(A/C/T)TIIIIG(C/G)IGGI(A/C/G)(A/G)I(C/G)AIACIACIGC-3'", "bbox": [66, 17, 242... | 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>N<sup>§</sup></b></td><td><b>%</b></td><td><b>Variable</b></td><td><b>N<sup>§</sup></b></td><td><b>%</b></td></tr></thead><tbody><tr><td><i>Gender</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><i>Satisfaction with access to services *</i></td><td>[EMPTY... | <table><thead><tr><td><b>Variable</b></td><td><b>N<sup>§</sup></b></td><td><b>%</b></td><td><b>Variable</b></td><td><b>N<sup>§</sup></b></td><td><b>%</b></td></tr></thead><tbody><tr><td><i>Gender</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><i>Satisfaction with access to services *</i></td><td>[EMPTY_CELL]</td... | [{"cell": "<b>Variable</b>", "bbox": [33, 4, 64, 12]}, {"cell": "<b>N<sup>§</sup></b>", "bbox": [133, 2, 143, 12]}, {"cell": "<b>%</b>", "bbox": [183, 4, 191, 12]}, {"cell": "<b>Variable</b>", "bbox": [291, 4, 322, 12]}, {"cell": "<b>N<sup>§</sup></b>", "bbox": [423, 2, 433, 12]}, {"cell": "<b>%</b>", "bbox": [473, 4, ... | 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>Technique</b></td><td><b>Linear Range (μM)</b></td><td><b>LOD (S/N = 3)</b></td><td><b>Refs.</b></td></tr></thead><tbody><tr><td>Monoamine oxidase A/graphite electrode</td><td>Amperometry</td><td>TA: 10–500</td><td>2 μM</td><td>[23]</td></tr><tr><td>Tyrosinase... | <table><thead><tr><td><b>Electrode</b></td><td><b>Technique</b></td><td><b>Linear Range (μM)</b></td><td><b>LOD (S/N = 3)</b></td><td><b>Refs.</b></td></tr></thead><tbody><tr><td>Monoamine oxidase A/graphite electrode</td><td>Amperometry</td><td>TA: 10–500</td><td>2 μM</td><td>[23]</td></tr><tr><td>Tyrosinase/polypyrro... | [{"cell": "<b>Electrode</b>", "bbox": [47, 10, 87, 21]}, {"cell": "<b>Technique</b>", "bbox": [151, 10, 196, 21]}, {"cell": "<b>Linear Range (μM)</b>", "bbox": [230, 5, 287, 27]}, {"cell": "<b>LOD (S/N = 3)</b>", "bbox": [313, 10, 374, 21]}, {"cell": "<b>Refs.</b>", "bbox": [399, 10, 422, 21]}, {"cell": "Monoamine oxid... | 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>Rank <sup>a</sup></b></td><td>[EMPTY_CELL]</td><td><b>Description</b></td><td><b>Benjamini-Hochberg corrected <i>P</i>-value (d0 <i>vs</i> d40)</b></td></tr></thead><tbody><tr><td>1</td><td>TGME49_070240_3</td><td>Unspecified product (MAG1)</td><td>[EMPTY_CELL]</td></tr><tr><td>2</td>... | <table><thead><tr><td><b>Rank <sup>a</sup></b></td><td>[EMPTY_CELL]</td><td><b>Description</b></td><td><b>Benjamini-Hochberg corrected <i>P</i>-value (d0 <i>vs</i> d40)</b></td></tr></thead><tbody><tr><td>1</td><td>TGME49_070240_3</td><td>Unspecified product (MAG1)</td><td>[EMPTY_CELL]</td></tr><tr><td>2</td><td>TGME49... | [{"cell": "<b>Rank <sup>a</sup></b>", "bbox": [1, 2, 23, 13]}, {"cell": "[EMPTY_CELL]", "bbox": [48, 4, 96, 13]}, {"cell": "<b>Description</b>", "bbox": [140, 4, 178, 13]}, {"cell": "<b>Benjamini-Hochberg corrected <i>P</i>-value (d0 <i>vs</i> d40)</b>", "bbox": [384, 4, 485, 22]}, {"cell": "1", "bbox": [1, 26, 6, 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>Iteration</b></td><td><b>Number of CpGs</b></td><td><b>(OOB-ER) Overall misclassification</b></td><td><b>Eczema misclassification</b></td><td><b>Non-eczema misclassification</b></td></tr></thead><tbody><tr><td>1</td><td>307,357</td><td>18.6 %</td><td>95.7 %</td><td>7.5 %</td></tr><tr>... | <table><thead><tr><td><b>Iteration</b></td><td><b>Number of CpGs</b></td><td><b>(OOB-ER) Overall misclassification</b></td><td><b>Eczema misclassification</b></td><td><b>Non-eczema misclassification</b></td></tr></thead><tbody><tr><td>1</td><td>307,357</td><td>18.6 %</td><td>95.7 %</td><td>7.5 %</td></tr><tr><td>2</td>... | [{"cell": "<b>Iteration</b>", "bbox": [1, 4, 29, 13]}, {"cell": "<b>Number of CpGs</b>", "bbox": [33, 4, 61, 22]}, {"cell": "<b>(OOB-ER) Overall misclassification</b>", "bbox": [67, 4, 122, 22]}, {"cell": "<b>Eczema misclassification</b>", "bbox": [127, 4, 180, 22]}, {"cell": "<b>Non-eczema misclassification</b>", "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><b>Term</b></td><td><b>df</b></td><td><b><i>F</i></b></td><td><b><i>P</i></b></td></tr></thead><tbody><tr><td>Farm</td><td>24</td><td>9.61</td><td><1x10<sup>-15</sup></td></tr><tr><td>Year</td><td>11</td><td>27.02</td><td><1x10<sup>-15</sup></td></tr><tr><td><i>Gossypium</i> specie... | <table><thead><tr><td><b>Term</b></td><td><b>df</b></td><td><b><i>F</i></b></td><td><b><i>P</i></b></td></tr></thead><tbody><tr><td>Farm</td><td>24</td><td>9.61</td><td><1x10<sup>-15</sup></td></tr><tr><td>Year</td><td>11</td><td>27.02</td><td><1x10<sup>-15</sup></td></tr><tr><td><i>Gossypium</i> species</td><td>... | [{"cell": "<b>Term</b>", "bbox": [1, 14, 18, 26]}, {"cell": "<b>df</b>", "bbox": [126, 14, 134, 26]}, {"cell": "<b><i>F</i></b>", "bbox": [157, 14, 163, 26]}, {"cell": "<b><i>P</i></b>", "bbox": [194, 14, 200, 26]}, {"cell": "Farm", "bbox": [1, 26, 18, 37]}, {"cell": "24", "bbox": [126, 26, 135, 37]}, {"cell": "9.61", ... | 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>Q value</b></td></tr><tr><td><b>NRR</b></td><td><b>1</b></td><td><b>35</b></td><td><b>70</b></td></tr></thead><tbody><tr><td><b>1</b></td><td>100</td><td>100</td><td>100</td></tr><tr><td><b>0.8</b></td><td>100</td><td>100</td><td>100</td></tr><tr><td... | <table><thead><tr><td>[EMPTY_CELL]</td><td colspan="3"><b>Q value</b></td></tr><tr><td><b>NRR</b></td><td><b>1</b></td><td><b>35</b></td><td><b>70</b></td></tr></thead><tbody><tr><td><b>1</b></td><td>100</td><td>100</td><td>100</td></tr><tr><td><b>0.8</b></td><td>100</td><td>100</td><td>100</td></tr><tr><td><b>0.6</b><... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Q value</b>", "bbox": [144, 4, 172, 12]}, {"cell": "<b>NRR</b>", "bbox": [1, 17, 17, 26]}, {"cell": "<b>1</b>", "bbox": [80, 17, 86, 26]}, {"cell": "<b>35</b>", "bbox": [151, 17, 162, 26]}, {"cell": "<b>70</b>", "bbox": [223, 17, 233, 26]}, {"cell": "<b>1</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>Plasma lipids</b></td><td><b>Vehicle</b></td><td><b>Liraglutide</b></td><td><b>RM-493</b></td><td><b>Liraglutide and RM-493</b></td></tr></thead><tbody><tr><td>Cholesterol (mg/dl)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>183.0 ± 9.3</td><td>141.2 ± 14.4**</td></tr><tr><td>Tri... | <table><thead><tr><td><b>Plasma lipids</b></td><td><b>Vehicle</b></td><td><b>Liraglutide</b></td><td><b>RM-493</b></td><td><b>Liraglutide and RM-493</b></td></tr></thead><tbody><tr><td>Cholesterol (mg/dl)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>183.0 ± 9.3</td><td>141.2 ± 14.4**</td></tr><tr><td>Triglycerides... | [{"cell": "<b>Plasma lipids</b>", "bbox": [4, 5, 51, 14]}, {"cell": "<b>Vehicle</b>", "bbox": [120, 5, 147, 14]}, {"cell": "<b>Liraglutide</b>", "bbox": [213, 5, 252, 14]}, {"cell": "<b>RM-493</b>", "bbox": [307, 5, 335, 14]}, {"cell": "<b>Liraglutide and RM-493</b>", "bbox": [395, 5, 477, 14]}, {"cell": "Cholesterol (... | 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=\"4\"><b>Costs per patient per year [€]</b></td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\"4\"><b>Mean</b></td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\"4\"><b>Median [P25, P75]</b></td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\"4\"><b>Outpatient therapy ... | <table><thead><tr><td>[EMPTY_CELL]</td><td colspan="4"><b>Costs per patient per year [€]</b></td></tr><tr><td>[EMPTY_CELL]</td><td colspan="4"><b>Mean</b></td></tr><tr><td>[EMPTY_CELL]</td><td colspan="4"><b>Median [P25, P75]</b></td></tr><tr><td>[EMPTY_CELL]</td><td colspan="4"><b>Outpatient therapy (n=71)</b></td></t... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Costs per patient per year [€]</b>", "bbox": [172, 14, 263, 26]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Mean</b>", "bbox": [172, 26, 190, 38]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Median [P25, P75]</b>", "bbox": [172, 38, 229, 50]}, {"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>Group</b></td><td><b><i>n </i>= 100</b></td><td><b><i>n </i>= 492</b></td><td><b><i>n </i>= 1000</b></td><td><b><i>n </i>= 4299</b></td><td><b><i>n </i>= 10000</b></td></tr></thead><tbody><tr><td>Constant PopulationSize Model</td><td>0.995%</td><td>0.203%</td><td>0.100%</td><td>0.023%... | <table><thead><tr><td><b>Group</b></td><td><b><i>n </i>= 100</b></td><td><b><i>n </i>= 492</b></td><td><b><i>n </i>= 1000</b></td><td><b><i>n </i>= 4299</b></td><td><b><i>n </i>= 10000</b></td></tr></thead><tbody><tr><td>Constant PopulationSize Model</td><td>0.995%</td><td>0.203%</td><td>0.100%</td><td>0.023%</td><td>0... | [{"cell": "<b>Group</b>", "bbox": [64, 4, 87, 13]}, {"cell": "<b><i>n </i>= 100</b>", "bbox": [177, 4, 206, 13]}, {"cell": "<b><i>n </i>= 492</b>", "bbox": [244, 4, 273, 13]}, {"cell": "<b><i>n </i>= 1000</b>", "bbox": [299, 4, 332, 13]}, {"cell": "<b><i>n </i>= 4299</b>", "bbox": [367, 4, 401, 13]}, {"cell": "<b><i>n ... | 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>n</b></td><td><b>JIS-94/80*(n = 1320)</b></td><td><b>JIS-102/88†(n = 1319)</b></td><td><b>Abdominal obesity 102/88 cut-off(n = 1348)</b></td><td><b>Abdominal obesity94/80 cut-off(n = 1348)</b></td><td><b>Raised TG(n = 1320)</b></td><td><b>Low HDL-C(n = 1320)</b></... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>n</b></td><td><b>JIS-94/80*(n = 1320)</b></td><td><b>JIS-102/88†(n = 1319)</b></td><td><b>Abdominal obesity 102/88 cut-off(n = 1348)</b></td><td><b>Abdominal obesity94/80 cut-off(n = 1348)</b></td><td><b>Raised TG(n = 1320)</b></td><td><b>Low HDL-C(n = 1320)</b></td><td><b>... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>n</b>", "bbox": [74, 4, 81, 13]}, {"cell": "<b>JIS-94/80*(n = 1320)</b>", "bbox": [106, 4, 144, 22]}, {"cell": "<b>JIS-102/88†(n = 1319)</b>", "bbox": [164, 4, 205, 22]}, {"cell": "<b>Abdominal obesity 102/88 cut-off(n = 1348)</b>", "bbox": [225, 4, 292, 31]}, {"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>Variable</b></td><td><b>Univariate analysis</b></td><td colspan=\"3\"><b>Multivariate Cox regression</b></td></tr><tr><td><b>p-Value</b></td><td><b>HR</b></td><td><b>95% CI</b></td><td><b>p-Value</b></td></tr></thead><tbody><tr><td>Age (years)</td><td>0.275</td><td>-</td... | <table><thead><tr><td rowspan="2"><b>Variable</b></td><td><b>Univariate analysis</b></td><td colspan="3"><b>Multivariate Cox regression</b></td></tr><tr><td><b>p-Value</b></td><td><b>HR</b></td><td><b>95% CI</b></td><td><b>p-Value</b></td></tr></thead><tbody><tr><td>Age (years)</td><td>0.275</td><td>-</td><td>-</td><td... | [{"cell": "<b>Variable</b>", "bbox": [4, 6, 42, 16]}, {"cell": "<b>Univariate analysis</b>", "bbox": [110, 6, 193, 16]}, {"cell": "<b>Multivariate Cox regression</b>", "bbox": [288, 6, 409, 16]}, {"cell": "<b>p-Value</b>", "bbox": [134, 22, 169, 33]}, {"cell": "<b>HR</b>", "bbox": [242, 22, 259, 33]}, {"cell": "<b>95% ... | 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>5-SET</b></td><td><b>10-SET</b></td></tr></thead><tbody><tr><td><b>Body mass (kg)</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Baseline</td><td>76.0 ± 16.4</td><td>83.3 ± 7.1</td></tr><tr><td>6 wks</td><td>79.2 ± 17.8 <sup>†</sup></td><td>84.8 ± ... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>5-SET</b></td><td><b>10-SET</b></td></tr></thead><tbody><tr><td><b>Body mass (kg)</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Baseline</td><td>76.0 ± 16.4</td><td>83.3 ± 7.1</td></tr><tr><td>6 wks</td><td>79.2 ± 17.8 <sup>†</sup></td><td>84.8 ± 8.4</td></... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>5-SET</b>", "bbox": [159, 5, 185, 16]}, {"cell": "<b>10-SET</b>", "bbox": [247, 5, 277, 16]}, {"cell": "<b>Body mass (kg)</b>", "bbox": [32, 21, 97, 32]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "Baseline", "bbox": [47, 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>Length of miRNA</b></td><td><b>Length for complementarity scoring</b></td><td><b>Range of central mismatch leading to translational inhibition</b></td></tr></thead><tbody><tr><td>14</td><td>14</td><td>6-8</td></tr><tr><td>15</td><td>15</td><td>7-8</td></tr><tr><td>16</td><td>16</td><t... | <table><thead><tr><td><b>Length of miRNA</b></td><td><b>Length for complementarity scoring</b></td><td><b>Range of central mismatch leading to translational inhibition</b></td></tr></thead><tbody><tr><td>14</td><td>14</td><td>6-8</td></tr><tr><td>15</td><td>15</td><td>7-8</td></tr><tr><td>16</td><td>16</td><td>7-9</td>... | [{"cell": "<b>Length of miRNA</b>", "bbox": [1, 4, 34, 22]}, {"cell": "<b>Length for complementarity scoring</b>", "bbox": [45, 4, 137, 22]}, {"cell": "<b>Range of central mismatch leading to translational inhibition</b>", "bbox": [148, 4, 236, 31]}, {"cell": "14", "bbox": [1, 35, 10, 45]}, {"cell": "14", "bbox": [86, ... | 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>Organisms Analysed</b></td><td colspan=\"6\"><b>Percent Conservation with M. tuberculosis H37Rv (%)</b></td></tr><tr><td><b><i>Rv3566c (nat)</i></b></td><td><b><i>Rv3566a</i></b></td><td><b><i>Rv3567c</i></b></td><td><b><i>Rv3568c(hsaC) </i></b></td><td><b><i>Rv3569c (hs... | <table><thead><tr><td rowspan="2"><b>Organisms Analysed</b></td><td colspan="6"><b>Percent Conservation with M. tuberculosis H37Rv (%)</b></td></tr><tr><td><b><i>Rv3566c (nat)</i></b></td><td><b><i>Rv3566a</i></b></td><td><b><i>Rv3567c</i></b></td><td><b><i>Rv3568c(hsaC) </i></b></td><td><b><i>Rv3569c (hsaD)</i></b></t... | [{"cell": "<b>Organisms Analysed</b>", "bbox": [4, 11, 68, 21]}, {"cell": "<b>Percent Conservation with M. tuberculosis H37Rv (%)</b>", "bbox": [210, 5, 376, 15]}, {"cell": "<b><i>Rv3566c (nat)</i></b>", "bbox": [114, 19, 157, 29]}, {"cell": "<b><i>Rv3566a</i></b>", "bbox": [185, 19, 212, 29]}, {"cell": "<b><i>Rv3567c<... | 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>Feature</b></td><td><b>Group I (55 patients) = not complicated<i>N</i> (%)</b></td><td><b>Group II (5 patients) = complicated<i>N</i> (%)</b></td></tr></thead><tbody><tr><td>RPED</td><td>9 (0.32)</td><td>0 (0.00)</td></tr><tr><td>IRPED</td><td>41 (2.02)</td><td>5 (0.66)</td></tr><tr><... | <table><thead><tr><td><b>Feature</b></td><td><b>Group I (55 patients) = not complicated<i>N</i> (%)</b></td><td><b>Group II (5 patients) = complicated<i>N</i> (%)</b></td></tr></thead><tbody><tr><td>RPED</td><td>9 (0.32)</td><td>0 (0.00)</td></tr><tr><td>IRPED</td><td>41 (2.02)</td><td>5 (0.66)</td></tr><tr><td>IRPED-T... | [{"cell": "<b>Feature</b>", "bbox": [3, 20, 31, 30]}, {"cell": "<b>Group I (55 patients) = not complicated<i>N</i> (%)</b>", "bbox": [122, 4, 183, 46]}, {"cell": "<b>Group II (5 patients) = complicated<i>N</i> (%)</b>", "bbox": [190, 4, 240, 46]}, {"cell": "RPED", "bbox": [3, 49, 27, 60]}, {"cell": "9 (0.32)", "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=\"3\"><b>Fatty acids (%)</b></td><td colspan=\"7\"><b>Sample of plant oils</b></td></tr><tr><td colspan=\"3\"><b>Soxhlet method (<i>n</i>-hexane)</b></td><td colspan=\"3\"><b>Folch method (chloroform/methanol)</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>Almond</b></td><td><b>Cor... | <table><thead><tr><td rowspan="3"><b>Fatty acids (%)</b></td><td colspan="7"><b>Sample of plant oils</b></td></tr><tr><td colspan="3"><b>Soxhlet method (<i>n</i>-hexane)</b></td><td colspan="3"><b>Folch method (chloroform/methanol)</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>Almond</b></td><td><b>Coriander</b></td><td... | [{"cell": "<b>Fatty acids (%)</b>", "bbox": [1, 5, 54, 15]}, {"cell": "<b>Sample of plant oils</b>", "bbox": [83, 5, 153, 15]}, {"cell": "<b>Soxhlet method (<i>n</i>-hexane)</b>", "bbox": [83, 22, 177, 31]}, {"cell": "<b>Folch method (chloroform/methanol)</b>", "bbox": [266, 22, 394, 31]}, {"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><b>Characteristic</b></td><td><b>n</b></td><td><b>%*</b></td></tr></thead><tbody><tr><td>Risk category</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> At or slightly above average risk</td><td>166</td><td>41</td></tr><tr><td> Moderately increased risk</td><td>43</td><td>11</t... | <table><thead><tr><td><b>Characteristic</b></td><td><b>n</b></td><td><b>%*</b></td></tr></thead><tbody><tr><td>Risk category</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> At or slightly above average risk</td><td>166</td><td>41</td></tr><tr><td> Moderately increased risk</td><td>43</td><td>11</td></tr><tr... | [{"cell": "<b>Characteristic</b>", "bbox": [1, 4, 49, 12]}, {"cell": "<b>n</b>", "bbox": [169, 4, 175, 12]}, {"cell": "<b>%*</b>", "bbox": [224, 4, 236, 12]}, {"cell": "Risk category", "bbox": [1, 17, 45, 27]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": " At or slightly above a... | 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>Model</b></td><td colspan=\"2\"><b>Testing</b></td><td colspan=\"2\"><b>Training</b></td><td colspan=\"2\"><b>All</b></td></tr><tr><td><b>Sensitivity</b></td><td><b>Specificity</b></td><td><b>Sensitivity</b></td><td><b>Specificity</b></td><td><b>Sensitivity</b></td><td><... | <table><thead><tr><td rowspan="2"><b>Model</b></td><td colspan="2"><b>Testing</b></td><td colspan="2"><b>Training</b></td><td colspan="2"><b>All</b></td></tr><tr><td><b>Sensitivity</b></td><td><b>Specificity</b></td><td><b>Sensitivity</b></td><td><b>Specificity</b></td><td><b>Sensitivity</b></td><td><b>Specificity</b><... | [{"cell": "<b>Model</b>", "bbox": [2, 9, 28, 20]}, {"cell": "<b>Testing</b>", "bbox": [134, 4, 162, 15]}, {"cell": "<b>Training</b>", "bbox": [278, 4, 311, 15]}, {"cell": "<b>All</b>", "bbox": [436, 4, 449, 15]}, {"cell": "<b>Sensitivity</b>", "bbox": [90, 16, 129, 27]}, {"cell": "<b>Specificity</b>", "bbox": [164, 16,... | 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/strains tested</b></td><td><b>Population</b></td><td><b>Observations</b></td><td><b>Reference</b></td></tr></thead><tbody><tr><td colspan=\"4\"><b>Intervention studies</b></td></tr><tr><td><i>B. lactis</i> BB12</td><td>Healthy adults</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</... | <table><thead><tr><td><b>Species/strains tested</b></td><td><b>Population</b></td><td><b>Observations</b></td><td><b>Reference</b></td></tr></thead><tbody><tr><td colspan="4"><b>Intervention studies</b></td></tr><tr><td><i>B. lactis</i> BB12</td><td>Healthy adults</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr>... | [{"cell": "<b>Species/strains tested</b>", "bbox": [1, 6, 54, 24]}, {"cell": "<b>Population</b>", "bbox": [93, 6, 131, 15]}, {"cell": "<b>Observations</b>", "bbox": [222, 6, 268, 15]}, {"cell": "<b>Reference</b>", "bbox": [446, 6, 482, 15]}, {"cell": "<b>Intervention studies</b>", "bbox": [1, 33, 69, 41]}, {"cell": "<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><b>Dimensions</b></td><td><b>Path dependent</b></td><td><b>Path creation</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>‘Initial conditions’</td><td>[EMPTY_CELL]</td><td>Constructed</td><td>Can reflect selective ‘sensori-memorabilia’ of actors</td></tr><tr><td>‘Contingencies’</... | <table><thead><tr><td><b>Dimensions</b></td><td><b>Path dependent</b></td><td><b>Path creation</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>‘Initial conditions’</td><td>[EMPTY_CELL]</td><td>Constructed</td><td>Can reflect selective ‘sensori-memorabilia’ of actors</td></tr><tr><td>‘Contingencies’</td><td>[EM... | [{"cell": "<b>Dimensions</b>", "bbox": [1, 8, 46, 17]}, {"cell": "<b>Path dependent</b>", "bbox": [101, 8, 162, 17]}, {"cell": "<b>Path creation</b>", "bbox": [220, 8, 272, 17]}, {"cell": "[EMPTY_CELL]", "bbox": [342, 8, 432, 17]}, {"cell": "‘Initial conditions’", "bbox": [1, 22, 59, 31]}, {"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><b>Attribute</b></td><td><b>Value</b></td><td><b>% of total</b></td></tr></thead><tbody><tr><td>Genome size (bp)</td><td>9,249,437</td><td>100</td></tr><tr><td>DNA coding (bp)</td><td>7,995,313</td><td>86.44</td></tr><tr><td>DNA G + C (bp)</td><td>5,925,688</td><td>64.07</td></tr><tr><td... | <table><thead><tr><td><b>Attribute</b></td><td><b>Value</b></td><td><b>% of total</b></td></tr></thead><tbody><tr><td>Genome size (bp)</td><td>9,249,437</td><td>100</td></tr><tr><td>DNA coding (bp)</td><td>7,995,313</td><td>86.44</td></tr><tr><td>DNA G + C (bp)</td><td>5,925,688</td><td>64.07</td></tr><tr><td>DNA scaff... | [{"cell": "<b>Attribute</b>", "bbox": [1, 4, 31, 13]}, {"cell": "<b>Value</b>", "bbox": [144, 4, 163, 13]}, {"cell": "<b>% of total</b>", "bbox": [203, 4, 236, 13]}, {"cell": "Genome size (bp)", "bbox": [1, 17, 59, 27]}, {"cell": "9,249,437", "bbox": [144, 17, 175, 27]}, {"cell": "100", "bbox": [203, 17, 217, 27]}, {"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>Condition</b></td><td>[EMPTY_CELL]</td><td><b>Predicted probability (subgroup analysis using appropriate methods)</b></td></tr></thead><tbody><tr><td>Journal of publication</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> <i>British Medical Journal</i></td><td>0.55 (0.41, 0... | <table><thead><tr><td><b>Condition</b></td><td>[EMPTY_CELL]</td><td><b>Predicted probability (subgroup analysis using appropriate methods)</b></td></tr></thead><tbody><tr><td>Journal of publication</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> <i>British Medical Journal</i></td><td>0.55 (0.41, 0.69)</td><... | [{"cell": "<b>Condition</b>", "bbox": [1, 4, 34, 13]}, {"cell": "[EMPTY_CELL]", "bbox": [212, 4, 289, 22]}, {"cell": "<b>Predicted probability (subgroup analysis using appropriate methods)</b>", "bbox": [354, 4, 484, 22]}, {"cell": "Journal of publication", "bbox": [1, 26, 72, 36]}, {"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>[EMPTY_CELL]</td><td><b>RefSeq exons (TP)</b></td><td><b>potential non-exons (FP)</b></td></tr></thead><tbody><tr><td>size</td><td>172,042</td><td>1, 518, 082</td></tr><tr><td>TWINSCAN</td><td>118,650 (69.0%)</td><td>[EMPTY_CELL]</td></tr><tr><td>TWINSCAN (w/mouse) <i>S </i>> -0.12</t... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>RefSeq exons (TP)</b></td><td><b>potential non-exons (FP)</b></td></tr></thead><tbody><tr><td>size</td><td>172,042</td><td>1, 518, 082</td></tr><tr><td>TWINSCAN</td><td>118,650 (69.0%)</td><td>[EMPTY_CELL]</td></tr><tr><td>TWINSCAN (w/mouse) <i>S </i>> -0.12</td><td>115,... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>RefSeq exons (TP)</b>", "bbox": [247, 4, 310, 14]}, {"cell": "<b>potential non-exons (FP)</b>", "bbox": [378, 4, 463, 14]}, {"cell": "size", "bbox": [4, 27, 19, 36]}, {"cell": "172,042", "bbox": [264, 27, 293, 36]}, {"cell": "1, 518, 082", "bbox": [401, 27, 440, 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\"><b>All patients (n = 360)</b></td><td colspan=\"2\"><b>Univariate analysis</b></td><td colspan=\"2\"><b>Multivariate analysis</b></td></tr><tr><td><b>Hazard ratio (95% CI)</b></td><td><b><i>P</i>-value</b></td><td><b>Hazard ratio (95% CI)</b></td><td><b><i>P</i>-value</b></... | <table><thead><tr><td rowspan="2"><b>All patients (n = 360)</b></td><td colspan="2"><b>Univariate analysis</b></td><td colspan="2"><b>Multivariate analysis</b></td></tr><tr><td><b>Hazard ratio (95% CI)</b></td><td><b><i>P</i>-value</b></td><td><b>Hazard ratio (95% CI)</b></td><td><b><i>P</i>-value</b></td></tr></thead>... | [{"cell": "<b>All patients (n = 360)</b>", "bbox": [1, 4, 74, 13]}, {"cell": "<b>Univariate analysis</b>", "bbox": [196, 4, 262, 13]}, {"cell": "<b>Multivariate analysis</b>", "bbox": [376, 4, 449, 13]}, {"cell": "<b>Hazard ratio (95% CI)</b>", "bbox": [157, 17, 233, 27]}, {"cell": "<b><i>P</i>-value</b>", "bbox": [273... | 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>Opinion</b></td><td colspan=\"5\"><b>Type of mental illness</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td><b>Severe depression</b></td><td><b>Panic attacks</b></td><td><b>Schizophrenia</b></td><td><b>Dementia</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><... | <table><thead><tr><td colspan="3"><b>Opinion</b></td><td colspan="5"><b>Type of mental illness</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td><b>Severe depression</b></td><td><b>Panic attacks</b></td><td><b>Schizophrenia</b></td><td><b>Dementia</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Drug add... | [{"cell": "<b>Opinion</b>", "bbox": [1, 4, 30, 13]}, {"cell": "<b>Type of mental illness</b>", "bbox": [202, 4, 280, 13]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Severe depression</b>", "bbox": [92, 17, 132, 36]}, {"cell": "<b>Panic attacks</b>", "bbox": [149, 17, 196, 27]}, {"cell": "<b>Schizophrenia</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>Breast biopsy diagnosis</b></td><td><b>N</b></td><td><b>OR (95 % CI)<sup>a</sup></b></td><td><b><i>P</i></b></td></tr></thead><tbody><tr><td>Non-case</td><td>174</td><td>1.00</td><td>0.005</td></tr><tr><td>Case</td><td>44</td><td>1.69 (1.17–2.44)</td><td>[EMPTY_CELL]</td></tr><tr><td>... | <table><thead><tr><td><b>Breast biopsy diagnosis</b></td><td><b>N</b></td><td><b>OR (95 % CI)<sup>a</sup></b></td><td><b><i>P</i></b></td></tr></thead><tbody><tr><td>Non-case</td><td>174</td><td>1.00</td><td>0.005</td></tr><tr><td>Case</td><td>44</td><td>1.69 (1.17–2.44)</td><td>[EMPTY_CELL]</td></tr><tr><td>Non-case</... | [{"cell": "<b>Breast biopsy diagnosis</b>", "bbox": [1, 4, 77, 13]}, {"cell": "<b>N</b>", "bbox": [102, 4, 109, 13]}, {"cell": "<b>OR (95 % CI)<sup>a</sup></b>", "bbox": [139, 2, 184, 13]}, {"cell": "<b><i>P</i></b>", "bbox": [218, 4, 223, 12]}, {"cell": "Non-case", "bbox": [1, 17, 32, 27]}, {"cell": "174", "bbox": [10... | 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>Warmed or control</b></td><td colspan=\"2\"><b>Mineral</b></td><td colspan=\"2\"><b>Organic horizon</b></td></tr><tr><td><b>Indicator gene families</b></td><td><b>Classification error rate (%)<sup><i>a</i></sup></b></td><td><b>Indicator gene families</b></td><td><b>Class... | <table><thead><tr><td rowspan="2"><b>Warmed or control</b></td><td colspan="2"><b>Mineral</b></td><td colspan="2"><b>Organic horizon</b></td></tr><tr><td><b>Indicator gene families</b></td><td><b>Classification error rate (%)<sup><i>a</i></sup></b></td><td><b>Indicator gene families</b></td><td><b>Classification error ... | [{"cell": "<b>Warmed or control</b>", "bbox": [1, 20, 40, 40]}, {"cell": "<b>Mineral</b>", "bbox": [58, 5, 86, 14]}, {"cell": "<b>Organic horizon</b>", "bbox": [322, 5, 377, 14]}, {"cell": "<b>Indicator gene families</b>", "bbox": [58, 30, 133, 40]}, {"cell": "<b>Classification error rate (%)<sup><i>a</i></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><b>mirT</b></td><td><b>Sequence</b></td></tr></thead><tbody><tr><td>miR-199a-3p</td><td>[EMPTY_CELL]</td></tr><tr><td> S1</td><td>5′-CTAGATAAtaaccaatgtgcagactactgtCGATtaaccaatgtgcagactactgt-3′</td></tr><tr><td> S2</td><td>5′-ACGCGTtaaccaatgtgcagactactgtTCACtaaccaatgtgcagactactgtGCATG-3′<... | <table><thead><tr><td><b>mirT</b></td><td><b>Sequence</b></td></tr></thead><tbody><tr><td>miR-199a-3p</td><td>[EMPTY_CELL]</td></tr><tr><td> S1</td><td>5′-CTAGATAAtaaccaatgtgcagactactgtCGATtaaccaatgtgcagactactgt-3′</td></tr><tr><td> S2</td><td>5′-ACGCGTtaaccaatgtgcagactactgtTCACtaaccaatgtgcagactactgtGCATG-3′</td></tr><... | [{"cell": "<b>mirT</b>", "bbox": [2, 4, 23, 15]}, {"cell": "<b>Sequence</b>", "bbox": [229, 4, 264, 15]}, {"cell": "miR-199a-3p", "bbox": [2, 17, 50, 27]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": " S1", "bbox": [11, 29, 21, 40]}, {"cell": "5′-CTAGATAAtaaccaatgtgcagactactgtCGATtaaccaatgtgcagactactgt-3′", "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>Identification</b></td><td colspan=\"3\"><b>Control (n = 30)</b></td><td colspan=\"3\"><b>Trained (n = 28)</b></td><td><b>P-value</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>COs (n = 15)</b></td><td><b>Nurses (n = 15)</b></td><td><b>All (%)</b></td><td><b>COs (n = 14)</b></td><td><b>... | <table><thead><tr><td><b>Identification</b></td><td colspan="3"><b>Control (n = 30)</b></td><td colspan="3"><b>Trained (n = 28)</b></td><td><b>P-value</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>COs (n = 15)</b></td><td><b>Nurses (n = 15)</b></td><td><b>All (%)</b></td><td><b>COs (n = 14)</b></td><td><b>Nurses (n = 14... | [{"cell": "<b>Identification</b>", "bbox": [1, 4, 48, 13]}, {"cell": "<b>Control (n = 30)</b>", "bbox": [165, 4, 220, 13]}, {"cell": "<b>Trained (n = 28)</b>", "bbox": [335, 4, 391, 13]}, {"cell": "<b>P-value</b>", "bbox": [456, 4, 484, 13]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>COs (n = 15)</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>Benign epidermal tumoursSeborrheic keratosesFollicular inverse keratosesEpidermal and sebaceous nevi</b></td><td><b> 35.720 75 5706</b></td><td><b>Frequency: 10 HZ Power: 0.5–3 W</b></td></tr></thead><tbody><tr><td>Benign pilar and sebaceous tumoursFacial MiliaTrichoepitheliomasSebace... | <table><thead><tr><td><b>Benign epidermal tumoursSeborrheic keratosesFollicular inverse keratosesEpidermal and sebaceous nevi</b></td><td><b> 35.720 75 5706</b></td><td><b>Frequency: 10 HZ Power: 0.5–3 W</b></td></tr></thead><tbody><tr><td>Benign pilar and sebaceous tumoursFacial MiliaTrichoepitheliomasSebaceous adenom... | [{"cell": "<b>Benign epidermal tumoursSeborrheic keratosesFollicular inverse keratosesEpidermal and sebaceous nevi</b>", "bbox": [2, 5, 122, 47]}, {"cell": "<b> 35.720 75 5706</b>", "bbox": [258, 10, 283, 42]}, {"cell": "<b>Frequency: 10 HZ Power: 0.5–3 W</b>", "bbox": [407, 16, 474, 37]}, {"cell": "Benign pilar and se... | 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>Inclusion CriteriaPatients meeting the following criteria can be included in the trial:</b></td></tr></thead><tbody><tr><td>1. Histologically confirmed carcinoma of the oesophagus (adenocarcinoma or squamous cell or undifferentiated carcinoma) or Siewert Type 1 tumour of the gastro-oe... | <table><thead><tr><td><b>Inclusion CriteriaPatients meeting the following criteria can be included in the trial:</b></td></tr></thead><tbody><tr><td>1. Histologically confirmed carcinoma of the oesophagus (adenocarcinoma or squamous cell or undifferentiated carcinoma) or Siewert Type 1 tumour of the gastro-oesophageal ... | [{"cell": "<b>Inclusion CriteriaPatients meeting the following criteria can be included in the trial:</b>", "bbox": [1, 4, 236, 22]}, {"cell": "1. Histologically confirmed carcinoma of the oesophagus (adenocarcinoma or squamous cell or undifferentiated carcinoma) or Siewert Type 1 tumour of the gastro-oesophageal junct... | 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\"><b>Variables</b></td><td colspan=\"2\"><b>Continuation phase treatment regimen</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>6EH (<i>n</i> = 395)<i>n</i> (%)</b></td><td><b>4RH (<i>n</i> = 395)<i>n</i> (%)</b></td><td><b>Total<i>N</i> (%)</... | <table><thead><tr><td colspan="2" rowspan="2"><b>Variables</b></td><td colspan="2"><b>Continuation phase treatment regimen</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>6EH (<i>n</i> = 395)<i>n</i> (%)</b></td><td><b>4RH (<i>n</i> = 395)<i>n</i> (%)</b></td><td><b>Total<i>N</i> (%)</b></td><td><b><i... | [{"cell": "<b>Variables</b>", "bbox": [1, 4, 30, 13]}, {"cell": "<b>Continuation phase treatment regimen</b>", "bbox": [242, 4, 370, 13]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>6EH (<i>n</i> = 395)<i>n</i> (%)</b>", "bbox": [242, 17, 287, 35]}, {"cell": "<b>4RH (<i>n</... | 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>Analgesic consumption</b></td><td><b>Group B+D(n=30)</b></td><td><b>GroupB(n=30)</b></td></tr></thead><tbody><tr><td>Nil additional Analgesic</td><td>18</td><td>[EMPTY_CELL]</td></tr><tr><td>Oral Analgesic requirement </td><td>9</td><td>[EMPTY_CELL]</td></tr><tr><td>1 tablet (Acetamin... | <table><thead><tr><td><b>Analgesic consumption</b></td><td><b>Group B+D(n=30)</b></td><td><b>GroupB(n=30)</b></td></tr></thead><tbody><tr><td>Nil additional Analgesic</td><td>18</td><td>[EMPTY_CELL]</td></tr><tr><td>Oral Analgesic requirement </td><td>9</td><td>[EMPTY_CELL]</td></tr><tr><td>1 tablet (Acetaminophen 325 ... | [{"cell": "<b>Analgesic consumption</b>", "bbox": [8, 13, 99, 26]}, {"cell": "<b>Group B+D(n=30)</b>", "bbox": [130, 2, 157, 36]}, {"cell": "<b>GroupB(n=30)</b>", "bbox": [172, 2, 200, 37]}, {"cell": "Nil additional Analgesic", "bbox": [8, 41, 98, 53]}, {"cell": "18", "bbox": [138, 41, 149, 53]}, {"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 colspan=\"2\"><b>NHANES 03-04</b></td><td colspan=\"2\"><b>NHANES 05-06</b></td><td colspan=\"2\"><b>NHANES 07-08</b></td><td><b>Pooled</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\"2\"><b>OR (95% CI)</b></td><td colspa... | <table><thead><tr><td>[EMPTY_CELL]</td><td colspan="2"><b>NHANES 03-04</b></td><td colspan="2"><b>NHANES 05-06</b></td><td colspan="2"><b>NHANES 07-08</b></td><td><b>Pooled</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td colspan="2"><b>OR (95% CI)</b></td><td colspan="2"><b>OR (95% C... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>NHANES 03-04</b>", "bbox": [37, 14, 85, 26]}, {"cell": "<b>NHANES 05-06</b>", "bbox": [133, 14, 181, 26]}, {"cell": "<b>NHANES 07-08</b>", "bbox": [222, 14, 270, 26]}, {"cell": "<b>Pooled</b>", "bbox": [312, 15, 335, 27]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"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>Database</b></td><td><b>Functional annotation</b></td><td><b>number of genes</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td colspan=\"4\"><i>up-regulated transcripts</i></td></tr><tr><td>GOTERM_CC_FAT</td><td>[EMPTY_CELL]</td><td>22</td><td><0.0001</td></tr><tr><td>SP_PIR... | <table><thead><tr><td><b>Database</b></td><td><b>Functional annotation</b></td><td><b>number of genes</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td colspan="4"><i>up-regulated transcripts</i></td></tr><tr><td>GOTERM_CC_FAT</td><td>[EMPTY_CELL]</td><td>22</td><td><0.0001</td></tr><tr><td>SP_PIR_KEYWORDS</t... | [{"cell": "<b>Database</b>", "bbox": [1, 4, 35, 13]}, {"cell": "<b>Functional annotation</b>", "bbox": [111, 4, 190, 13]}, {"cell": "<b>number of genes</b>", "bbox": [332, 4, 394, 13]}, {"cell": "[EMPTY_CELL]", "bbox": [436, 4, 465, 13]}, {"cell": "<i>up-regulated transcripts</i>", "bbox": [1, 17, 76, 27]}, {"cell": "G... | 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>Gene</b></td><td><b>Primer nucleotide sequence (5′ → 3′)</b></td><td><b>Amplicon (bp)</b></td></tr></thead><tbody><tr><td colspan=\"3\">Housekeeping gene</td></tr><tr><td rowspan=\"2\"> GAPDH</td><td>F - TGGACTCCACGACGTACTCA</td><td rowspan=\"2\">102</td></tr><tr><td>R - GGAAGCTTGTCAT... | <table><thead><tr><td><b>Gene</b></td><td><b>Primer nucleotide sequence (5′ → 3′)</b></td><td><b>Amplicon (bp)</b></td></tr></thead><tbody><tr><td colspan="3">Housekeeping gene</td></tr><tr><td rowspan="2"> GAPDH</td><td>F - TGGACTCCACGACGTACTCA</td><td rowspan="2">102</td></tr><tr><td>R - GGAAGCTTGTCATCAATGGAA</td></t... | [{"cell": "<b>Gene</b>", "bbox": [1, 4, 19, 13]}, {"cell": "<b>Primer nucleotide sequence (5′ → 3′)</b>", "bbox": [36, 4, 157, 13]}, {"cell": "<b>Amplicon (bp)</b>", "bbox": [188, 4, 236, 13]}, {"cell": "Housekeeping gene", "bbox": [1, 17, 67, 27]}, {"cell": " GAPDH", "bbox": [1, 40, 26, 50]}, {"cell": "F - TGGACTCCACG... | 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>Population: 10,000</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>Strategy</b></td><td><b>HBsAg Test Kit</b></td><td><b>True Positive</b></t... | <table><thead><tr><td><b>Population: 10,000</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>Strategy</b></td><td><b>HBsAg Test Kit</b></td><td><b>True Positive</b></td><td><b>F... | [{"cell": "<b>Population: 10,000</b>", "bbox": [1, 4, 61, 13]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "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><b>CD4<sup>+</sup> T cells/<i>μ</i>l whole blood</b></td><td><b>CV (%)</b></td></tr></thead><tbody><tr><td>27.7</td><td>18.0</td></tr><tr><td>135.8</td><td>13.8</td></tr><tr><td>198.1</td><td>16.3</td></tr><tr><td>384.6</td><td>11.3</td></tr><tr><td>654.4</td><td>11.6</td></tr></tbody></... | <table><thead><tr><td><b>CD4<sup>+</sup> T cells/<i>μ</i>l whole blood</b></td><td><b>CV (%)</b></td></tr></thead><tbody><tr><td>27.7</td><td>18.0</td></tr><tr><td>135.8</td><td>13.8</td></tr><tr><td>198.1</td><td>16.3</td></tr><tr><td>384.6</td><td>11.3</td></tr><tr><td>654.4</td><td>11.6</td></tr></tbody></table> | [{"cell": "<b>CD4<sup>+</sup> T cells/<i>μ</i>l whole blood</b>", "bbox": [1, 7, 116, 19]}, {"cell": "<b>CV (%)</b>", "bbox": [203, 9, 236, 19]}, {"cell": "27.7", "bbox": [5, 31, 25, 41]}, {"cell": "18.0", "bbox": [203, 31, 222, 41]}, {"cell": "135.8", "bbox": [0, 42, 25, 52]}, {"cell": "13.8", "bbox": [203, 42, 222, 5... | 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>Median</b></td><td><b>Range</b></td></tr></thead><tbody><tr><td>Patient age</td><td>47 years</td><td>35–76</td></tr><tr><td>BMI</td><td>25.1</td><td>18.8–39.8</td></tr><tr><td>Uterine volume (ultrasound)</td><td>350 cm<sup>3</sup></td><td>36–2016</td></tr><tr><td>... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>Median</b></td><td><b>Range</b></td></tr></thead><tbody><tr><td>Patient age</td><td>47 years</td><td>35–76</td></tr><tr><td>BMI</td><td>25.1</td><td>18.8–39.8</td></tr><tr><td>Uterine volume (ultrasound)</td><td>350 cm<sup>3</sup></td><td>36–2016</td></tr><tr><td>Weight of ... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Median</b>", "bbox": [144, 4, 173, 15]}, {"cell": "<b>Range</b>", "bbox": [211, 4, 236, 15]}, {"cell": "Patient age", "bbox": [2, 17, 43, 27]}, {"cell": "47 years", "bbox": [143, 17, 174, 27]}, {"cell": "35–76", "bbox": [212, 17, 235, 27]}, {"cell": "BMI", "bbox": [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>Evidence type</b></td><td><b>Programs</b></td><td><b>Element</b></td><td><b>Total count</b></td><td><b>Exon/gene</b></td><td><b>Total length, bp</b></td><td><b>Mean length, bp</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Gene</td><td>14 576</td><td>[EM... | <table><thead><tr><td><b>Evidence type</b></td><td><b>Programs</b></td><td><b>Element</b></td><td><b>Total count</b></td><td><b>Exon/gene</b></td><td><b>Total length, bp</b></td><td><b>Mean length, bp</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Gene</td><td>14 576</td><td>[EMPTY_CELL]<... | [{"cell": "<b>Evidence type</b>", "bbox": [1, 6, 50, 16]}, {"cell": "<b>Programs</b>", "bbox": [122, 6, 156, 16]}, {"cell": "<b>Element</b>", "bbox": [216, 6, 246, 16]}, {"cell": "<b>Total count</b>", "bbox": [258, 6, 299, 16]}, {"cell": "<b>Exon/gene</b>", "bbox": [311, 6, 349, 16]}, {"cell": "<b>Total length, bp</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>RFS</b></td><td colspan=\"2\"><b>PCSM</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>HR (95 % CI)</b></td><td><b><i>p</i>-value</b></td><td><b>HR (95 % CI)</b></td><td><b><i>p</i>-value</b></td></tr></thead><tbody><tr><td colspan=\"5\">Cytoplasmic Digi... | <table><thead><tr><td>[EMPTY_CELL]</td><td colspan="2"><b>RFS</b></td><td colspan="2"><b>PCSM</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>HR (95 % CI)</b></td><td><b><i>p</i>-value</b></td><td><b>HR (95 % CI)</b></td><td><b><i>p</i>-value</b></td></tr></thead><tbody><tr><td colspan="5">Cytoplasmic Digital IHC (CytoOD*... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>RFS</b>", "bbox": [60, 4, 73, 13]}, {"cell": "<b>PCSM</b>", "bbox": [150, 4, 170, 13]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>HR (95 % CI)</b>", "bbox": [60, 17, 102, 27]}, {"cell": "<b><i>p</i>-value</b>", "bbox": [117, 17, 143, 27]}, {"cell": "<b>HR (95... | 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>Compliance rate (%)</b></td><td><b>Target goal attainment (LDL-C level <100 mg/dL, %)</b></td><td><b>Probability (%)</b></td><td><b>Total cost (KRW)</b></td><td><b>ACER (KRW)</b></td></tr></thead><tbody><tr><td rowspan=\"4\">[EMPTY_CELL]</td><td>[EMPTY_CELL]</t... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>Compliance rate (%)</b></td><td><b>Target goal attainment (LDL-C level <100 mg/dL, %)</b></td><td><b>Probability (%)</b></td><td><b>Total cost (KRW)</b></td><td><b>ACER (KRW)</b></td></tr></thead><tbody><tr><td rowspan="4">[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Compliance rate (%)</b>", "bbox": [115, 9, 181, 19]}, {"cell": "<b>Target goal attainment (LDL-C level <100 mg/dL, %)</b>", "bbox": [220, 4, 314, 23]}, {"cell": "<b>Probability (%)</b>", "bbox": [339, 4, 373, 23]}, {"cell": "<b>Total cost (KRW)</b>", "bbox": [392, 4, ... | 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>Length of admission, days</b></td><td><b>Adults (<i>n</i> = 51)</b></td><td><b>Older adults (<i>n</i> = 16)</b></td></tr></thead><tbody><tr><td>Mean</td><td>297</td><td>174.3</td></tr><tr><td>Median</td><td>214</td><td>124</td></tr><tr><td>Minimum</td><td>24</td><td>70</td></tr><tr><t... | <table><thead><tr><td><b>Length of admission, days</b></td><td><b>Adults (<i>n</i> = 51)</b></td><td><b>Older adults (<i>n</i> = 16)</b></td></tr></thead><tbody><tr><td>Mean</td><td>297</td><td>174.3</td></tr><tr><td>Median</td><td>214</td><td>124</td></tr><tr><td>Minimum</td><td>24</td><td>70</td></tr><tr><td>Maximum<... | [{"cell": "<b>Length of admission, days</b>", "bbox": [7, 18, 102, 28]}, {"cell": "<b>Adults (<i>n</i> = 51)</b>", "bbox": [136, 9, 161, 27]}, {"cell": "<b>Older adults (<i>n</i> = 16)</b>", "bbox": [187, 9, 228, 27]}, {"cell": "Mean", "bbox": [7, 33, 29, 42]}, {"cell": "297", "bbox": [141, 33, 156, 42]}, {"cell": "174... | 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</b></td><td><b>Data source(s)</b></td><td><b>Extent of use</b></td></tr></thead><tbody><tr><td rowspan=\"2\">[EMPTY_CELL]</td><td rowspan=\"2\">Key informant interviews, documents</td><td>● All radiologists in the province use the screening SRT; use of this tool has been ‘strongl... | <table><thead><tr><td><b>Case</b></td><td><b>Data source(s)</b></td><td><b>Extent of use</b></td></tr></thead><tbody><tr><td rowspan="2">[EMPTY_CELL]</td><td rowspan="2">Key informant interviews, documents</td><td>● All radiologists in the province use the screening SRT; use of this tool has been ‘strongly recommended’... | [{"cell": "<b>Case</b>", "bbox": [1, 4, 19, 13]}, {"cell": "<b>Data source(s)</b>", "bbox": [84, 4, 135, 13]}, {"cell": "<b>Extent of use</b>", "bbox": [226, 4, 273, 13]}, {"cell": "[EMPTY_CELL]", "bbox": [1, 17, 68, 27]}, {"cell": "Key informant interviews, documents", "bbox": [84, 17, 205, 27]}, {"cell": "● All radio... | 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><b>Older people without an appointed proxy AD</b></td><td><b>Older people with an appointed proxy AD</b></td></tr><tr><td><b>n=163*</b></td><td><b>n=50*</b></td></tr><tr><td><b>(%)</b></td><td><b>(%)</b></td></tr></thead><tbody><tr><td colspan=\"3\"><b>... | <table><thead><tr><td rowspan="3">[EMPTY_CELL]</td><td><b>Older people without an appointed proxy AD</b></td><td><b>Older people with an appointed proxy AD</b></td></tr><tr><td><b>n=163*</b></td><td><b>n=50*</b></td></tr><tr><td><b>(%)</b></td><td><b>(%)</b></td></tr></thead><tbody><tr><td colspan="3"><b>Received care ... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Older people without an appointed proxy AD</b>", "bbox": [62, 4, 149, 22]}, {"cell": "<b>Older people with an appointed proxy AD</b>", "bbox": [161, 4, 236, 22]}, {"cell": "<b>n=163*</b>", "bbox": [122, 26, 149, 36]}, {"cell": "<b>n=50*</b>", "bbox": [213, 26, 236, 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>First author</b></td><td><b>Enrollment</b></td><td><b>Number of centers</b></td><td><b>Number of patients</b></td><td><b>Metal stent type and covering*</b></td><td><b>Recurrentbiliary obstruction rate</b></td><td><b>Stent patency at 6 months</b></td><td><b>Migration rate</b></td><td><... | <table><thead><tr><td><b>First author</b></td><td><b>Enrollment</b></td><td><b>Number of centers</b></td><td><b>Number of patients</b></td><td><b>Metal stent type and covering*</b></td><td><b>Recurrentbiliary obstruction rate</b></td><td><b>Stent patency at 6 months</b></td><td><b>Migration rate</b></td><td><b>Cholecys... | [{"cell": "<b>First author</b>", "bbox": [2, 14, 47, 25]}, {"cell": "<b>Enrollment</b>", "bbox": [54, 14, 97, 25]}, {"cell": "<b>Number of centers</b>", "bbox": [106, 9, 148, 30]}, {"cell": "<b>Number of patients</b>", "bbox": [155, 9, 196, 30]}, {"cell": "<b>Metal stent type and covering*</b>", "bbox": [201, 4, 243, 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>Gene</b></td><td><b>Primer</b></td><td><b>Sequence 5' → 3'</b></td><td>[EMPTY_CELL]</td><td><b>Localization</b></td><td><b>Annealing temperature</b></td></tr></thead><tbody><tr><td>HPRT</td><td>[EMPTY_CELL]</td><td>5'-TTGCTGACCTGCTGGATTAC-3'</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</... | <table><thead><tr><td><b>Gene</b></td><td><b>Primer</b></td><td><b>Sequence 5' → 3'</b></td><td>[EMPTY_CELL]</td><td><b>Localization</b></td><td><b>Annealing temperature</b></td></tr></thead><tbody><tr><td>HPRT</td><td>[EMPTY_CELL]</td><td>5'-TTGCTGACCTGCTGGATTAC-3'</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>58°... | [{"cell": "<b>Gene</b>", "bbox": [12, 5, 32, 14]}, {"cell": "<b>Primer</b>", "bbox": [69, 5, 93, 14]}, {"cell": "<b>Sequence 5' → 3'</b>", "bbox": [157, 5, 220, 14]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Localization</b>", "bbox": [316, 5, 359, 14]}, {"cell": "<b>Annealing temperature</b>", "bbox": [382, ... | 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>Predictor variable</b></td><td><b>Model 1</b></td><td><b>Model 2</b></td><td><b>Model 3</b></td></tr></thead><tbody><tr><td>Alternative energy per capita</td><td>[EMPTY_CELL]</td><td>−0.221*(0.079)[0.005]</td><td>−0.241*(0.075)[0.001]</td></tr><tr><td>Trans-provincial imported electri... | <table><thead><tr><td><b>Predictor variable</b></td><td><b>Model 1</b></td><td><b>Model 2</b></td><td><b>Model 3</b></td></tr></thead><tbody><tr><td>Alternative energy per capita</td><td>[EMPTY_CELL]</td><td>−0.221*(0.079)[0.005]</td><td>−0.241*(0.075)[0.001]</td></tr><tr><td>Trans-provincial imported electricity per c... | [{"cell": "<b>Predictor variable</b>", "bbox": [2, 2, 65, 9]}, {"cell": "<b>Model 1</b>", "bbox": [252, 2, 282, 9]}, {"cell": "<b>Model 2</b>", "bbox": [347, 2, 377, 9]}, {"cell": "<b>Model 3</b>", "bbox": [443, 2, 473, 9]}, {"cell": "Alternative energy per capita", "bbox": [2, 13, 101, 23]}, {"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><b>MRSA, No. (%)</b></td><td><b>MSSA, No. (%)</b></td><td><b>Strep, No. (%)</b></td></tr></thead><tbody><tr><td>All SSTI (N = 529)</td><td>115 (22)</td><td>161(30)</td><td>[EMPTY_CELL]</td></tr><tr><td> Abscess (N = 185)</td><td>66 (36)</td><td>49 (26)</td><td>[EMPTY... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>MRSA, No. (%)</b></td><td><b>MSSA, No. (%)</b></td><td><b>Strep, No. (%)</b></td></tr></thead><tbody><tr><td>All SSTI (N = 529)</td><td>115 (22)</td><td>161(30)</td><td>[EMPTY_CELL]</td></tr><tr><td> Abscess (N = 185)</td><td>66 (36)</td><td>49 (26)</td><td>[EMPTY_CELL]</td... | [{"cell": "[EMPTY_CELL]", "bbox": [1, 4, 60, 13]}, {"cell": "<b>MRSA, No. (%)</b>", "bbox": [90, 4, 128, 22]}, {"cell": "<b>MSSA, No. (%)</b>", "bbox": [143, 4, 180, 22]}, {"cell": "<b>Strep, No. (%)</b>", "bbox": [195, 4, 231, 22]}, {"cell": "All SSTI (N = 529)", "bbox": [1, 26, 59, 35]}, {"cell": "115 (22)", "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>Polyphenolic compound</b></td><td colspan=\"2\"><b>Ethanol extract of <i>Citrus maxima</i> peel extract</b></td></tr><tr><td><b>Content (mg/100 g of dry extract) </b></td><td><b>% RSD</b></td></tr></thead><tbody><tr><td>GA</td><td>[EMPTY_CELL]</td><td>0.83</td></tr><tr><... | <table><thead><tr><td rowspan="2"><b>Polyphenolic compound</b></td><td colspan="2"><b>Ethanol extract of <i>Citrus maxima</i> peel extract</b></td></tr><tr><td><b>Content (mg/100 g of dry extract) </b></td><td><b>% RSD</b></td></tr></thead><tbody><tr><td>GA</td><td>[EMPTY_CELL]</td><td>0.83</td></tr><tr><td>VA</td><td>... | [{"cell": "<b>Polyphenolic compound</b>", "bbox": [2, 5, 51, 26]}, {"cell": "<b>Ethanol extract of <i>Citrus maxima</i> peel extract</b>", "bbox": [76, 4, 240, 15]}, {"cell": "<b>Content (mg/100 g of dry extract) </b>", "bbox": [73, 17, 195, 28]}, {"cell": "<b>% RSD</b>", "bbox": [206, 17, 233, 28]}, {"cell": "GA", "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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