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><b>Motif</b></td><td><b>Description</b></td></tr></thead><tbody><tr><td>5UTR Py-rich stretch</td><td>region in the 5primeUTR conferring high transcription levels without the need for other upstream <i>cis</i>-elements except for a TATA-box</td></tr><tr><td>GCN4_motif</td><td><i>cis</i>-r... | <table><thead><tr><td><b>Motif</b></td><td><b>Description</b></td></tr></thead><tbody><tr><td>5UTR Py-rich stretch</td><td>region in the 5primeUTR conferring high transcription levels without the need for other upstream <i>cis</i>-elements except for a TATA-box</td></tr><tr><td>GCN4_motif</td><td><i>cis</i>-regulatory ... | [{"cell": "<b>Motif</b>", "bbox": [1, 4, 19, 13]}, {"cell": "<b>Description</b>", "bbox": [91, 4, 129, 13]}, {"cell": "5UTR Py-rich stretch", "bbox": [1, 17, 67, 27]}, {"cell": "region in the 5primeUTR conferring high transcription levels without the need for other upstream <i>cis</i>-elements except for a TATA-box", "... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\"4\"><b><i>Giardia</i> sub-Assemblagescpe</b></td></tr><tr><td><b>Patient characteristics</b></td><td><b>Category</b></td><td><b>Total</b></td><td><b>AII&BIII</b></td><td><b>BIII</b></td><td><b>BIII&BIV</b></... | <table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan="4"><b><i>Giardia</i> sub-Assemblagescpe</b></td></tr><tr><td><b>Patient characteristics</b></td><td><b>Category</b></td><td><b>Total</b></td><td><b>AII&BIII</b></td><td><b>BIII</b></td><td><b>BIII&BIV</b></td><td><b>BI... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b><i>Giardia</i> sub-Assemblagescpe</b>", "bbox": [274, 4, 367, 13]}, {"cell": "<b>Patient characteristics</b>", "bbox": [1, 17, 71, 27]}, {"cell": "<b>Category</b>", "bbox": [114, 17, 145, 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\"><b>Type of targets</b></td><td><b>Number of diseases</b></td><td><b>d/t</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>Successful target(81)</td><td>221</td><td>2.73</td></tr><tr><td><i>western drugs</i></td><td>Clinical trial target(15)</td><td>45</td><td>3.0</td... | <table><thead><tr><td colspan="2"><b>Type of targets</b></td><td><b>Number of diseases</b></td><td><b>d/t</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>Successful target(81)</td><td>221</td><td>2.73</td></tr><tr><td><i>western drugs</i></td><td>Clinical trial target(15)</td><td>45</td><td>3.0</td></tr><tr><t... | [{"cell": "<b>Type of targets</b>", "bbox": [1, 4, 56, 13]}, {"cell": "<b>Number of diseases</b>", "bbox": [142, 4, 213, 13]}, {"cell": "<b>d/t</b>", "bbox": [219, 4, 231, 13]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "Successful target(81)", "bbox": [64, 17, 131, 27]}, {"cell": "221", "bbox": [142, 17, 155, 27]... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Primers</b></td><td><b>Sequences</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>5′-TAGAATTCGCCACCATGGTGAGCAAGGGCGAGGAGCTG-3′</td></tr><tr><td>[EMPTY_CELL]</td><td>5′-<underline>CACCGCCGCTTCCACCGCCACC</underline>CTTGTACAGCTCGTCCATGCCGAG-3′</td></tr><tr><td>[EMPTY_CELL]</td><t... | <table><thead><tr><td><b>Primers</b></td><td><b>Sequences</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>5′-TAGAATTCGCCACCATGGTGAGCAAGGGCGAGGAGCTG-3′</td></tr><tr><td>[EMPTY_CELL]</td><td>5′-<underline>CACCGCCGCTTCCACCGCCACC</underline>CTTGTACAGCTCGTCCATGCCGAG-3′</td></tr><tr><td>[EMPTY_CELL]</td><td>5′-<unde... | [{"cell": "<b>Primers</b>", "bbox": [1, 6, 29, 15]}, {"cell": "<b>Sequences</b>", "bbox": [80, 6, 119, 15]}, {"cell": "[EMPTY_CELL]", "bbox": [1, 23, 26, 31]}, {"cell": "5′-TAGAATTCGCCACCATGGTGAGCAAGGGCGAGGAGCTG-3′", "bbox": [80, 24, 185, 40]}, {"cell": "[EMPTY_CELL]", "bbox": [1, 46, 27, 53]}, {"cell": "5′-<underline>... | 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>Classifier</b></td><td><b>Neutral</b></td><td><b>Happy</b></td><td><b>Sad</b></td><td><b>Fear</b></td><td><b>Surprise</b></td><td><b>Disgust</b></td><td><b>Average</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>(%)</b></td><td><b>(%)</b></td><td><b>(%)</b></td><td><b>(%)</b></td><td><b>... | <table><thead><tr><td><b>Classifier</b></td><td><b>Neutral</b></td><td><b>Happy</b></td><td><b>Sad</b></td><td><b>Fear</b></td><td><b>Surprise</b></td><td><b>Disgust</b></td><td><b>Average</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>(%)</b></td><td><b>(%)</b></td><td><b>(%)</b></td><td><b>(%)</b></td><td><b>(%)</b></t... | [{"cell": "<b>Classifier</b>", "bbox": [1, 4, 33, 13]}, {"cell": "<b>Neutral</b>", "bbox": [76, 4, 104, 13]}, {"cell": "<b>Happy</b>", "bbox": [122, 4, 146, 13]}, {"cell": "<b>Sad</b>", "bbox": [166, 4, 181, 13]}, {"cell": "<b>Fear</b>", "bbox": [202, 4, 219, 13]}, {"cell": "<b>Surprise</b>", "bbox": [238, 4, 268, 13]}... | 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>Model</b></td><td><b>Tumor Type</b></td><td><b>Gene</b></td><td><b>Mutation</b></td><td><b>Primary Tumor Mutation Status</b></td><td><b>Tumorgraft Mutation Status</b></td></tr></thead><tbody><tr><td>VARI-LTM-041</td><td>Colorectal Cancer</td><td>KRAS</td><td>G12V</td><td>TRUE</td><td>... | <table><thead><tr><td><b>Model</b></td><td><b>Tumor Type</b></td><td><b>Gene</b></td><td><b>Mutation</b></td><td><b>Primary Tumor Mutation Status</b></td><td><b>Tumorgraft Mutation Status</b></td></tr></thead><tbody><tr><td>VARI-LTM-041</td><td>Colorectal Cancer</td><td>KRAS</td><td>G12V</td><td>TRUE</td><td>TRUE</td><... | [{"cell": "<b>Model</b>", "bbox": [1, 4, 24, 13]}, {"cell": "<b>Tumor Type</b>", "bbox": [81, 4, 125, 13]}, {"cell": "<b>Gene</b>", "bbox": [162, 4, 182, 13]}, {"cell": "<b>Mutation</b>", "bbox": [203, 4, 237, 13]}, {"cell": "<b>Primary Tumor Mutation Status</b>", "bbox": [255, 4, 367, 13]}, {"cell": "<b>Tumorgraft Mut... | 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>Settled-migrants</b></td><td><b>Neo-migrants</b></td><td><b>Total</b></td></tr></thead><tbody><tr><td>Male</td><td>3</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Female</td><td>5</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Age Range</t... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>Settled-migrants</b></td><td><b>Neo-migrants</b></td><td><b>Total</b></td></tr></thead><tbody><tr><td>Male</td><td>3</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Female</td><td>5</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Age Range</td><td>38–5... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Settled-migrants</b>", "bbox": [118, 5, 185, 14]}, {"cell": "<b>Neo-migrants</b>", "bbox": [258, 5, 314, 14]}, {"cell": "<b>Total</b>", "bbox": [385, 5, 408, 14]}, {"cell": "Male", "bbox": [4, 27, 22, 36]}, {"cell": "3", "bbox": [118, 27, 124, 36]}, {"cell": "[EMPTY_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>Factor </b></td><td><b>Mean value (range) </b></td><td><b>Percentage of change </b></td><td><b><i>P</i> value</b></td></tr></thead><tbody><tr><td>Operation time (minutes)</td><td>63.26 (36–151)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Catheterization time (hours) </t... | <table><thead><tr><td><b>Factor </b></td><td><b>Mean value (range) </b></td><td><b>Percentage of change </b></td><td><b><i>P</i> value</b></td></tr></thead><tbody><tr><td>Operation time (minutes)</td><td>63.26 (36–151)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Catheterization time (hours) </td><td>28.0... | [{"cell": "<b>Factor </b>", "bbox": [2, 4, 27, 15]}, {"cell": "<b>Mean value (range) </b>", "bbox": [176, 4, 247, 15]}, {"cell": "<b>Percentage of change </b>", "bbox": [320, 4, 397, 15]}, {"cell": "<b><i>P</i> value</b>", "bbox": [470, 1, 499, 16]}, {"cell": "Operation time (minutes)", "bbox": [2, 17, 97, 27]}, {"cell... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Parameter</b></td><td>[EMPTY_CELL]</td><td><b>Minimum, Maximum</b></td><td><b>SEM (inter-observer using 1<sup>st</sup> measurements)</b></td><td><b>Upper limit 95 % CI</b></td><td><b>Minimum, Maximum Kreder et al. [6]</b></td></tr></thead><tbody><tr><td>Dorsal shift (mm)</td><td>15.03... | <table><thead><tr><td><b>Parameter</b></td><td>[EMPTY_CELL]</td><td><b>Minimum, Maximum</b></td><td><b>SEM (inter-observer using 1<sup>st</sup> measurements)</b></td><td><b>Upper limit 95 % CI</b></td><td><b>Minimum, Maximum Kreder et al. [6]</b></td></tr></thead><tbody><tr><td>Dorsal shift (mm)</td><td>15.03 (4.85)</t... | [{"cell": "<b>Parameter</b>", "bbox": [1, 4, 35, 13]}, {"cell": "[EMPTY_CELL]", "bbox": [88, 4, 123, 13]}, {"cell": "<b>Minimum, Maximum</b>", "bbox": [139, 4, 207, 13]}, {"cell": "<b>SEM (inter-observer using 1<sup>st</sup> measurements)</b>", "bbox": [216, 2, 361, 13]}, {"cell": "<b>Upper limit 95 % CI</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>Demographic data</b></td><td colspan=\"2\"><b>Patient groups (<i>N</i> = 50)</b></td><td colspan=\"2\"><b>Control group (<i>N</i> = 10)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td colspan=\"2\">34 : 16</td><td colspan=\"2\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><... | <table><thead><tr><td><b>Demographic data</b></td><td colspan="2"><b>Patient groups (<i>N</i> = 50)</b></td><td colspan="2"><b>Control group (<i>N</i> = 10)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td colspan="2">34 : 16</td><td colspan="2">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td colspan="2">50.... | [{"cell": "<b>Demographic data</b>", "bbox": [2, 4, 71, 15]}, {"cell": "<b>Patient groups (<i>N</i> = 50)</b>", "bbox": [174, 1, 263, 16]}, {"cell": "<b>Control group (<i>N</i> = 10)</b>", "bbox": [379, 1, 467, 16]}, {"cell": "[EMPTY_CELL]", "bbox": [2, 17, 51, 27]}, {"cell": "34 : 16", "bbox": [207, 17, 230, 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>Soil Samples</b></td><td><b>Number</b></td><td><b>Lead Range</b></td><td><b>Median</b></td><td><b>Exceedance and Ratio <sup>†</sup></b></td></tr></thead><tbody><tr><td>Kind</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Surface</t... | <table><thead><tr><td><b>Soil Samples</b></td><td><b>Number</b></td><td><b>Lead Range</b></td><td><b>Median</b></td><td><b>Exceedance and Ratio <sup>†</sup></b></td></tr></thead><tbody><tr><td>Kind</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Surface</td><td>25</... | [{"cell": "<b>Soil Samples</b>", "bbox": [22, 5, 77, 16]}, {"cell": "<b>Number</b>", "bbox": [112, 5, 149, 16]}, {"cell": "<b>Lead Range</b>", "bbox": [176, 5, 226, 16]}, {"cell": "<b>Median</b>", "bbox": [251, 5, 285, 16]}, {"cell": "<b>Exceedance and Ratio <sup>†</sup></b>", "bbox": [311, 3, 408, 16]}, {"cell": "Kind... | 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>Can.Correl. No.</b></td><td><b>r</b></td><td><b>Brix</b></td><td><b>pH</b></td><td><b>AT</b></td><td><b>Az g/L</b></td><td><b>IMT</b></td></tr></thead><tbody><tr><td>1</td><td>0.97</td><td>0.00</td><td>‒0.17</td><td>‒3.07</td><td>[EMPTY_CELL]</td><td>0.01</td></tr><tr><td>2</td><td>0.... | <table><thead><tr><td><b>Can.Correl. No.</b></td><td><b>r</b></td><td><b>Brix</b></td><td><b>pH</b></td><td><b>AT</b></td><td><b>Az g/L</b></td><td><b>IMT</b></td></tr></thead><tbody><tr><td>1</td><td>0.97</td><td>0.00</td><td>‒0.17</td><td>‒3.07</td><td>[EMPTY_CELL]</td><td>0.01</td></tr><tr><td>2</td><td>0.93</td><td... | [{"cell": "<b>Can.Correl. No.</b>", "bbox": [12, 6, 89, 18]}, {"cell": "<b>r</b>", "bbox": [118, 6, 124, 18]}, {"cell": "<b>Brix</b>", "bbox": [157, 6, 180, 18]}, {"cell": "<b>pH</b>", "bbox": [210, 6, 227, 18]}, {"cell": "<b>AT</b>", "bbox": [260, 6, 277, 18]}, {"cell": "<b>Az g/L</b>", "bbox": [302, 6, 335, 18]}, {"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 colspan=\"3\"><b>Common</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>Measures</b></td><td><b>A</b></td><td><b>C</b></td><td><b>E</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>9-year Science</td><td>.64 (.57–.70)</td><td>.16 (.09–.22)</td><td>.20 (.19–.22)<... | <table><thead><tr><td>[EMPTY_CELL]</td><td colspan="3"><b>Common</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>Measures</b></td><td><b>A</b></td><td><b>C</b></td><td><b>E</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>9-year Science</td><td>.64 (.57–.70)</td><td>.16 (.09–.22)</td><td>.20 (.19–.22)</td><td>[EMP... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Common</b>", "bbox": [248, 8, 283, 18]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Measures</b>", "bbox": [1, 28, 37, 38]}, {"cell": "<b>A</b>", "bbox": [167, 28, 175, 38]}, {"cell": "<b>C</b>", "bbox": [263, 28, 271, 38]}, {"cell": "<b>E</b>", "bbox": [358, ... | 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>Variables</b></td><td><b>Survivor</b></td><td><b>Mortality</b></td><td><b><i>p</i> value</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b><i>n</i> = 58</b></td><td><b><i>n</i> = 12</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>Age (years)</td><td>72 ± 12</td><td>81 ± 7</td><td>... | <table><thead><tr><td><b>Variables</b></td><td><b>Survivor</b></td><td><b>Mortality</b></td><td><b><i>p</i> value</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b><i>n</i> = 58</b></td><td><b><i>n</i> = 12</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>Age (years)</td><td>72 ± 12</td><td>81 ± 7</td><td>0.008<sup>... | [{"cell": "<b>Variables</b>", "bbox": [1, 4, 30, 13]}, {"cell": "<b>Survivor</b>", "bbox": [109, 4, 136, 13]}, {"cell": "<b>Mortality</b>", "bbox": [160, 4, 190, 13]}, {"cell": "<b><i>p</i> value</b>", "bbox": [211, 4, 236, 13]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b><i>n</i> = 58</b>", "bbox": [109, 17, 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>Coefficient</b></td><td><b><i>P</i>-value</b></td><td><b>95% CI</b></td></tr></thead><tbody><tr><td>CpG1</td><td>[EMPTY_CELL]</td><td>0.12</td><td>[EMPTY_CELL]</td></tr><tr><td>CpG5-8</td><td>[EMPTY_CELL]</td><td>0.27</td><td>[EMPTY_CELL]</td></tr><tr><td>CpG11-12... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>Coefficient</b></td><td><b><i>P</i>-value</b></td><td><b>95% CI</b></td></tr></thead><tbody><tr><td>CpG1</td><td>[EMPTY_CELL]</td><td>0.12</td><td>[EMPTY_CELL]</td></tr><tr><td>CpG5-8</td><td>[EMPTY_CELL]</td><td>0.27</td><td>[EMPTY_CELL]</td></tr><tr><td>CpG11-12</td><td>[... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Coefficient</b>", "bbox": [91, 4, 130, 12]}, {"cell": "<b><i>P</i>-value</b>", "bbox": [145, 4, 173, 12]}, {"cell": "<b>95% CI</b>", "bbox": [199, 4, 225, 12]}, {"cell": "CpG1", "bbox": [0, 17, 20, 26]}, {"cell": "[EMPTY_CELL]", "bbox": [101, 17, 120, 26]}, {"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>Exact</b></td><td><b>TP</b></td><td><b>FN</b></td><td><b>Recall</b></td><td><b>Char Overlap (%)</b></td></tr></thead><tbody><tr><td>EMUOMMMFtmVarSETH</td><td>20002833</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>100.00100.00100.00100.00100.00</td></tr><tr><td><b>Partial</b></td><... | <table><thead><tr><td><b>Exact</b></td><td><b>TP</b></td><td><b>FN</b></td><td><b>Recall</b></td><td><b>Char Overlap (%)</b></td></tr></thead><tbody><tr><td>EMUOMMMFtmVarSETH</td><td>20002833</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>100.00100.00100.00100.00100.00</td></tr><tr><td><b>Partial</b></td><td><b>TP</... | [{"cell": "<b>Exact</b>", "bbox": [5, 5, 28, 14]}, {"cell": "<b>TP</b>", "bbox": [46, 5, 59, 14]}, {"cell": "<b>FN</b>", "bbox": [69, 5, 82, 14]}, {"cell": "<b>Recall</b>", "bbox": [98, 5, 124, 14]}, {"cell": "<b>Char Overlap (%)</b>", "bbox": [142, 5, 209, 14]}, {"cell": "EMUOMMMFtmVarSETH", "bbox": [5, 19, 27, 85]}, ... | 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>Social presence</b></td><td><b>Cognition</b></td><td><b>Emotional attachment</b></td><td><b>Social reciprocity</b></td><td><b>Social vs artificial perception</b></td></tr></thead><tbody><tr><td>Age</td><td>.350, <i>P</i><.05 (two-tailed)</td><td>.303, <i>P</i>&... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>Social presence</b></td><td><b>Cognition</b></td><td><b>Emotional attachment</b></td><td><b>Social reciprocity</b></td><td><b>Social vs artificial perception</b></td></tr></thead><tbody><tr><td>Age</td><td>.350, <i>P</i><.05 (two-tailed)</td><td>.303, <i>P</i><.10 (tw... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Social presence</b>", "bbox": [76, 3, 132, 16]}, {"cell": "<b>Cognition</b>", "bbox": [153, 3, 189, 16]}, {"cell": "<b>Emotional attachment</b>", "bbox": [230, 3, 306, 16]}, {"cell": "<b>Social reciprocity</b>", "bbox": [321, 3, 384, 16]}, {"cell": "<b>Social vs artif... | 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>Cluster</b></td><td colspan=\"3\"><b>Center of mass</b></td><td><b>Brain region</b></td><td><b>Cluster size (mm<sup>3</sup>)</b></td><td><b>Peak value (bootstrap ratio)</b></td></tr></thead><tbody><tr><td>1</td><td>−8</td><td>−16</td><td>−6</td><td>Cerebral peduncle L</td><td>3,464</t... | <table><thead><tr><td><b>Cluster</b></td><td colspan="3"><b>Center of mass</b></td><td><b>Brain region</b></td><td><b>Cluster size (mm<sup>3</sup>)</b></td><td><b>Peak value (bootstrap ratio)</b></td></tr></thead><tbody><tr><td>1</td><td>−8</td><td>−16</td><td>−6</td><td>Cerebral peduncle L</td><td>3,464</td><td>5.33</... | [{"cell": "<b>Cluster</b>", "bbox": [0, 6, 27, 15]}, {"cell": "<b>Center of mass</b>", "bbox": [35, 6, 88, 15]}, {"cell": "<b>Brain region</b>", "bbox": [90, 6, 133, 15]}, {"cell": "<b>Cluster size (mm<sup>3</sup>)</b>", "bbox": [179, 6, 205, 34]}, {"cell": "<b>Peak value (bootstrap ratio)</b>", "bbox": [209, 6, 246, 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>Data</b></td><td><b>Portion</b></td><td colspan=\"3\"><b>Pre-processing</b></td><td colspan=\"3\"><b>Clustering</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Executors</b></td><td><b>Memory</b></td><td><b>Time</b></td><td><b>Executors</b></td><td>[EMPTY_CELL]</td><... | <table><thead><tr><td><b>Data</b></td><td><b>Portion</b></td><td colspan="3"><b>Pre-processing</b></td><td colspan="3"><b>Clustering</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Executors</b></td><td><b>Memory</b></td><td><b>Time</b></td><td><b>Executors</b></td><td>[EMPTY_CELL]</td><td><b>Time</b>... | [{"cell": "<b>Data</b>", "bbox": [1, 5, 17, 14]}, {"cell": "<b>Portion</b>", "bbox": [57, 5, 82, 14]}, {"cell": "<b>Pre-processing</b>", "bbox": [178, 5, 227, 14]}, {"cell": "<b>Clustering</b>", "bbox": [383, 5, 418, 14]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Executor... | 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>FPKM (White)</b></td><td><b>FPKM (Black)</b></td></tr></thead><tbody><tr><td>Keratin associated protein 9.2</td><td>2584.8</td><td>821.2</td></tr><tr><td>Keratin 27</td><td>2607.2</td><td>1067.3</td></tr><tr><td>Complete mitochondrial genome</td><td>2674.7</td><td... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>FPKM (White)</b></td><td><b>FPKM (Black)</b></td></tr></thead><tbody><tr><td>Keratin associated protein 9.2</td><td>2584.8</td><td>821.2</td></tr><tr><td>Keratin 27</td><td>2607.2</td><td>1067.3</td></tr><tr><td>Complete mitochondrial genome</td><td>2674.7</td><td>3041.1</t... | [{"cell": "[EMPTY_CELL]", "bbox": [1, 4, 42, 13]}, {"cell": "<b>FPKM (White)</b>", "bbox": [161, 4, 188, 22]}, {"cell": "<b>FPKM (Black)</b>", "bbox": [210, 4, 235, 22]}, {"cell": "Keratin associated protein 9.2", "bbox": [0, 26, 97, 36]}, {"cell": "2584.8", "bbox": [161, 26, 183, 36]}, {"cell": "821.2", "bbox": [210, ... | 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>Providence Portland Medical Center</b></td><td><b>El Camino Hospital</b></td><td><b>Partners HealthCare</b></td><td><b>Wishard Memorial Hospital Clinics</b></td><td><b>Roudebush VeteransHealth Administration</b></td><td><b>Mid-Valley IPA</b></td><td><b>RWJ Medical... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>Providence Portland Medical Center</b></td><td><b>El Camino Hospital</b></td><td><b>Partners HealthCare</b></td><td><b>Wishard Memorial Hospital Clinics</b></td><td><b>Roudebush VeteransHealth Administration</b></td><td><b>Mid-Valley IPA</b></td><td><b>RWJ Medical Group</b>... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Providence Portland Medical Center</b>", "bbox": [38, 4, 111, 22]}, {"cell": "<b>El Camino Hospital</b>", "bbox": [121, 4, 158, 22]}, {"cell": "<b>Partners HealthCare</b>", "bbox": [171, 4, 242, 13]}, {"cell": "<b>Wishard Memorial Hospital Clinics</b>", "bbox": [254, ... | 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>Village<sup>a</sup></b></td><td><b>Latitude</b></td><td><b>Longitude</b></td><td><b>Aspect</b></td><td><b>Elevation (m)</b></td><td>[EMPTY_CELL]</td><td><b>Texture</b></td><td><b>Structure</b></td></tr></thead><tbody><tr><td>XQ</td><td>[EMPTY_CELL]</td><td>N30°14′... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>Village<sup>a</sup></b></td><td><b>Latitude</b></td><td><b>Longitude</b></td><td><b>Aspect</b></td><td><b>Elevation (m)</b></td><td>[EMPTY_CELL]</td><td><b>Texture</b></td><td><b>Structure</b></td></tr></thead><tbody><tr><td>XQ</td><td>[EMPTY_CELL]</td><td>N30°14′</td><td>E... | [{"cell": "[EMPTY_CELL]", "bbox": [2, 4, 24, 15]}, {"cell": "<b>Village<sup>a</sup></b>", "bbox": [47, 2, 76, 15]}, {"cell": "<b>Latitude</b>", "bbox": [103, 4, 135, 15]}, {"cell": "<b>Longitude</b>", "bbox": [159, 4, 197, 15]}, {"cell": "<b>Aspect</b>", "bbox": [221, 4, 248, 15]}, {"cell": "<b>Elevation (m)</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>SNP</b></td><td>[EMPTY_CELL]</td><td><b>HBV clearance (<i>n</i> = 105) <i>n</i> (%)</b></td><td>[EMPTY_CELL]</td><td><b>Adjusted<sup>*</sup> OR (95% CI), <i>P</i><sub>value</sub></b></td></tr></thead><tbody><tr><td rowspan=\"7\">rs4072111</td><td>Genotypes</td><td>[EMPTY_CELL]</td><td... | <table><thead><tr><td><b>SNP</b></td><td>[EMPTY_CELL]</td><td><b>HBV clearance (<i>n</i> = 105) <i>n</i> (%)</b></td><td>[EMPTY_CELL]</td><td><b>Adjusted<sup>*</sup> OR (95% CI), <i>P</i><sub>value</sub></b></td></tr></thead><tbody><tr><td rowspan="7">rs4072111</td><td>Genotypes</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL... | [{"cell": "<b>SNP</b>", "bbox": [2, 4, 20, 15]}, {"cell": "[EMPTY_CELL]", "bbox": [66, 4, 98, 15]}, {"cell": "<b>HBV clearance (<i>n</i> = 105) <i>n</i> (%)</b>", "bbox": [127, 1, 237, 16]}, {"cell": "[EMPTY_CELL]", "bbox": [262, 1, 365, 16]}, {"cell": "<b>Adjusted<sup>*</sup> OR (95% CI), <i>P</i><sub>value</sub></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>[EMPTY_CELL]</td><td colspan=\"3\"><b>Observed</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Presence</b></td><td><b>Absence</b></td><td><b>Total</b></td></tr></thead><tbody><tr><td><b>Predicted</b>*</td><td><b>Presence</b></td><td>80</td><td>72</... | <table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan="3"><b>Observed</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Presence</b></td><td><b>Absence</b></td><td><b>Total</b></td></tr></thead><tbody><tr><td><b>Predicted</b>*</td><td><b>Presence</b></td><td>80</td><td>72</td><td>152</... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Observed</b>", "bbox": [321, 3, 357, 11]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Presence</b>", "bbox": [225, 17, 260, 25]}, {"cell": "<b>Absence</b>", "bbox": [323, 17, 355, 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>Phylum</b></td><td><b>No. sequences</b></td><td><b>%</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>80,233</td><td>91.619</td></tr><tr><td>[EMPTY_CELL]</td><td>35,850</td><td>40.954</td></tr><tr><td>[EMPTY_CELL]</td><td>19,558</td><td>22.236</td></tr><tr><td>[EMPTY_CELL]</td... | <table><thead><tr><td><b>Phylum</b></td><td><b>No. sequences</b></td><td><b>%</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>80,233</td><td>91.619</td></tr><tr><td>[EMPTY_CELL]</td><td>35,850</td><td>40.954</td></tr><tr><td>[EMPTY_CELL]</td><td>19,558</td><td>22.236</td></tr><tr><td>[EMPTY_CELL]</td><td>1,871... | [{"cell": "<b>Phylum</b>", "bbox": [1, 6, 29, 15]}, {"cell": "<b>No. sequences</b>", "bbox": [127, 6, 181, 15]}, {"cell": "<b>%</b>", "bbox": [224, 6, 233, 15]}, {"cell": "[EMPTY_CELL]", "bbox": [1, 25, 51, 34]}, {"cell": "80,233", "bbox": [156, 25, 181, 34]}, {"cell": "91.619", "bbox": [226, 25, 249, 34]}, {"cell": "[... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Variable</b></td><td><b>Base case</b></td><td><b>Range tested</b></td><td><b>References</b></td></tr></thead><tbody><tr><td>Sensitive isolate: UTI resolution (clinical cure)</td><td>0.94</td><td>[EMPTY_CELL]</td><td>[27–32]</td></tr><tr><td>Resistant isolate: UTI resolution (clinical ... | <table><thead><tr><td><b>Variable</b></td><td><b>Base case</b></td><td><b>Range tested</b></td><td><b>References</b></td></tr></thead><tbody><tr><td>Sensitive isolate: UTI resolution (clinical cure)</td><td>0.94</td><td>[EMPTY_CELL]</td><td>[27–32]</td></tr><tr><td>Resistant isolate: UTI resolution (clinical cure)</td>... | [{"cell": "<b>Variable</b>", "bbox": [2, 4, 34, 15]}, {"cell": "<b>Base case</b>", "bbox": [229, 4, 265, 15]}, {"cell": "<b>Range tested</b>", "bbox": [316, 4, 364, 15]}, {"cell": "<b>References</b>", "bbox": [433, 4, 473, 15]}, {"cell": "Sensitive isolate: UTI resolution (clinical cure)", "bbox": [2, 18, 170, 29]}, {"... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td><b>General coping</b></td><td><b>Personal growth & autonomy</b></td><td><b>Interpersonal Skill</b></td><td><b>Spirituality</b></td><td><b>Emotional support</b></td><td><b>General affect</b></td><td><b>Positive Mental Health</b></td></tr></thead><tbody><tr><td>RSA... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>General coping</b></td><td><b>Personal growth & autonomy</b></td><td><b>Interpersonal Skill</b></td><td><b>Spirituality</b></td><td><b>Emotional support</b></td><td><b>General affect</b></td><td><b>Positive Mental Health</b></td></tr></thead><tbody><tr><td>RSA</td><td>0... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>General coping</b>", "bbox": [107, 4, 136, 22]}, {"cell": "<b>Personal growth & autonomy</b>", "bbox": [152, 4, 218, 22]}, {"cell": "<b>Interpersonal Skill</b>", "bbox": [233, 4, 281, 22]}, {"cell": "<b>Spirituality</b>", "bbox": [287, 4, 327, 13]}, {"cell": "<b>Emoti... | 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>Percentage of respondents with injuries</b></td><td><b>Percentage of injured respondents requiring treatment</b></td><td><b>Percentage of injured respondents requiring surgical treatment</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>Neck</td><td>24</td... | <table><thead><tr><td><b>Region</b></td><td><b>Percentage of respondents with injuries</b></td><td><b>Percentage of injured respondents requiring treatment</b></td><td><b>Percentage of injured respondents requiring surgical treatment</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>Neck</td><td>24</td><td>52</t... | [{"cell": "<b>Region</b>", "bbox": [0, 5, 27, 15]}, {"cell": "<b>Percentage of respondents with injuries</b>", "bbox": [100, 5, 150, 35]}, {"cell": "<b>Percentage of injured respondents requiring treatment</b>", "bbox": [163, 5, 274, 25]}, {"cell": "<b>Percentage of injured respondents requiring surgical treatment</b>"... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Variable</b></td><td><b>Odds ratio (95 % Confidence Interval)</b></td></tr></thead><tbody><tr><td>Age (per decade)</td><td>1.17 (1.02 to 1.34)</td></tr><tr><td>Male sex</td><td>1.88 (1.22 to 2.92)</td></tr><tr><td colspan=\"2\">Household income in the past year before taxes</td></tr><... | <table><thead><tr><td><b>Variable</b></td><td><b>Odds ratio (95 % Confidence Interval)</b></td></tr></thead><tbody><tr><td>Age (per decade)</td><td>1.17 (1.02 to 1.34)</td></tr><tr><td>Male sex</td><td>1.88 (1.22 to 2.92)</td></tr><tr><td colspan="2">Household income in the past year before taxes</td></tr><tr><td>Less ... | [{"cell": "<b>Variable</b>", "bbox": [1, 4, 28, 13]}, {"cell": "<b>Odds ratio (95 % Confidence Interval)</b>", "bbox": [362, 4, 484, 13]}, {"cell": "Age (per decade)", "bbox": [1, 17, 58, 27]}, {"cell": "1.17 (1.02 to 1.34)", "bbox": [362, 17, 421, 27]}, {"cell": "Male sex", "bbox": [1, 31, 30, 41]}, {"cell": "1.88 (1.... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td rowspan=\"2\"><b>Open surgery</b></td><td colspan=\"2\"><b>MRI</b></td></tr><tr><td><b>Positive</b></td><td><b>Negative</b></td></tr></thead><tbody><tr><td>Positive</td><td>64</td><td>3</td></tr><tr><td>Negative</td><td>2</td><td>21</td></tr></tbody></table>", "cells": [{"cell": "<b>Open... | <table><thead><tr><td rowspan="2"><b>Open surgery</b></td><td colspan="2"><b>MRI</b></td></tr><tr><td><b>Positive</b></td><td><b>Negative</b></td></tr></thead><tbody><tr><td>Positive</td><td>64</td><td>3</td></tr><tr><td>Negative</td><td>2</td><td>21</td></tr></tbody></table> | [{"cell": "<b>Open surgery</b>", "bbox": [4, 14, 64, 25]}, {"cell": "<b>MRI</b>", "bbox": [321, 6, 343, 16]}, {"cell": "<b>Positive</b>", "bbox": [230, 22, 265, 33]}, {"cell": "<b>Negative</b>", "bbox": [394, 22, 434, 33]}, {"cell": "Positive", "bbox": [3, 40, 38, 51]}, {"cell": "64", "bbox": [242, 37, 254, 52]}, {"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>Subject No.</b></td><td>[EMPTY_CELL]</td><td><b>Dose(mg/kg)</b></td><td><b>Weight(kg)</b></td><td><b>Ka(1/hr)</b></td><td><b>Vd/F(L/kg)</b></td><td><b>Kel(1/hr)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>13</td><td>0.188</td><td>[EMPTY_CELL]</td><td>0.532</td><td>[EMPTY_... | <table><thead><tr><td><b>Subject No.</b></td><td>[EMPTY_CELL]</td><td><b>Dose(mg/kg)</b></td><td><b>Weight(kg)</b></td><td><b>Ka(1/hr)</b></td><td><b>Vd/F(L/kg)</b></td><td><b>Kel(1/hr)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>13</td><td>0.188</td><td>[EMPTY_CELL]</td><td>0.532</td><td>[EMPTY_CELL]</td>... | [{"cell": "<b>Subject No.</b>", "bbox": [19, 5, 60, 14]}, {"cell": "[EMPTY_CELL]", "bbox": [103, 5, 118, 23]}, {"cell": "<b>Dose(mg/kg)</b>", "bbox": [165, 5, 192, 23]}, {"cell": "<b>Weight(kg)</b>", "bbox": [237, 5, 264, 23]}, {"cell": "<b>Ka(1/hr)</b>", "bbox": [311, 5, 332, 23]}, {"cell": "<b>Vd/F(L/kg)</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>Study</b></td><td><b>Year</b></td><td><b>Country</b></td><td><b>No. of studies</b></td><td><b>No. of patients</b></td><td><b>Classification</b></td><td><b>Effect size</b></td><td><b>Performance measure</b></td></tr></thead><tbody><tr><td>Zhou, H.[53]</td><td>2016</td><td>China</td><td... | <table><thead><tr><td><b>Study</b></td><td><b>Year</b></td><td><b>Country</b></td><td><b>No. of studies</b></td><td><b>No. of patients</b></td><td><b>Classification</b></td><td><b>Effect size</b></td><td><b>Performance measure</b></td></tr></thead><tbody><tr><td>Zhou, H.[53]</td><td>2016</td><td>China</td><td>23</td><t... | [{"cell": "<b>Study</b>", "bbox": [4, 8, 26, 17]}, {"cell": "<b>Year</b>", "bbox": [68, 8, 86, 17]}, {"cell": "<b>Country</b>", "bbox": [94, 8, 125, 17]}, {"cell": "<b>No. of studies</b>", "bbox": [134, 4, 159, 21]}, {"cell": "<b>No. of patients</b>", "bbox": [167, 4, 196, 21]}, {"cell": "<b>Classification</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>Specific IgG4</b></td><td><b>Visit</b></td><td><b><i>n</i></b></td><td><b>Mean</b></td><td><b>SD</b></td><td><b>Median</b></td><td><b>Min.</b></td><td><b>Max.</b></td><td><b><i>P</i>-value1</b></td></tr></thead><tbody><tr><td rowspan=\"2\">Total</td><td>Baseline visit</td><td>30</td><... | <table><thead><tr><td><b>Specific IgG4</b></td><td><b>Visit</b></td><td><b><i>n</i></b></td><td><b>Mean</b></td><td><b>SD</b></td><td><b>Median</b></td><td><b>Min.</b></td><td><b>Max.</b></td><td><b><i>P</i>-value1</b></td></tr></thead><tbody><tr><td rowspan="2">Total</td><td>Baseline visit</td><td>30</td><td>0.5</td><... | [{"cell": "<b>Specific IgG4</b>", "bbox": [1, 6, 44, 15]}, {"cell": "<b>Visit</b>", "bbox": [90, 6, 105, 15]}, {"cell": "<b><i>n</i></b>", "bbox": [153, 6, 159, 14]}, {"cell": "<b>Mean</b>", "bbox": [193, 6, 213, 15]}, {"cell": "<b>SD</b>", "bbox": [246, 6, 257, 15]}, {"cell": "<b>Median</b>", "bbox": [290, 6, 316, 15]... | 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>Modality</b></td><td><b>Metric</b></td><td colspan=\"6\"><b>Site</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>KKI</b></td><td><b>NI</b></td><td><b>NYU</b></td><td><b>OHSU</b></td><td><b>Peking</b></td><td><b>All</b></td></tr></thead><tbody><tr><td>Combined</td><td... | <table><thead><tr><td><b>Modality</b></td><td><b>Metric</b></td><td colspan="6"><b>Site</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>KKI</b></td><td><b>NI</b></td><td><b>NYU</b></td><td><b>OHSU</b></td><td><b>Peking</b></td><td><b>All</b></td></tr></thead><tbody><tr><td>Combined</td><td>Accuracy</t... | [{"cell": "<b>Modality</b>", "bbox": [1, 2, 34, 11]}, {"cell": "<b>Metric</b>", "bbox": [154, 2, 179, 11]}, {"cell": "<b>Site</b>", "bbox": [354, 2, 370, 11]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>KKI</b>", "bbox": [224, 20, 238, 29]}, {"cell": "<b>NI</b>", "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>Leaf number</b></td><td><b>Total length (mm)</b></td><td><b>Velocity mean (mm/s)</b></td><td><b>Velocity minimum (mm/s)</b></td><td><b>Velocity maximum (mm/s)</b></td><td><b>Duration <sup>*</sup> (s)</b></td><td><b>Latency <sup>*</sup> (s)</b></td></tr></thead><tbody><tr><td>1</td><td... | <table><thead><tr><td><b>Leaf number</b></td><td><b>Total length (mm)</b></td><td><b>Velocity mean (mm/s)</b></td><td><b>Velocity minimum (mm/s)</b></td><td><b>Velocity maximum (mm/s)</b></td><td><b>Duration <sup>*</sup> (s)</b></td><td><b>Latency <sup>*</sup> (s)</b></td></tr></thead><tbody><tr><td>1</td><td>25.96</td... | [{"cell": "<b>Leaf number</b>", "bbox": [0, 6, 30, 26]}, {"cell": "<b>Total length (mm)</b>", "bbox": [59, 6, 104, 26]}, {"cell": "<b>Velocity mean (mm/s)</b>", "bbox": [132, 6, 185, 26]}, {"cell": "<b>Velocity minimum (mm/s)</b>", "bbox": [214, 6, 281, 26]}, {"cell": "<b>Velocity maximum (mm/s)</b>", "bbox": [310, 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><b>Region/State</b></td><td><b>n</b></td><td><b>Mean</b></td><td><b>Standard deviation</b></td><td><b>Median</b></td><td><b>Minimum</b></td><td><b>Maximum</b></td></tr></thead><tbody><tr><td>Northeast Region</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CE... | <table><thead><tr><td><b>Region/State</b></td><td><b>n</b></td><td><b>Mean</b></td><td><b>Standard deviation</b></td><td><b>Median</b></td><td><b>Minimum</b></td><td><b>Maximum</b></td></tr></thead><tbody><tr><td>Northeast Region</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><t... | [{"cell": "<b>Region/State</b>", "bbox": [33, 4, 78, 13]}, {"cell": "<b>n</b>", "bbox": [128, 4, 134, 13]}, {"cell": "<b>Mean</b>", "bbox": [168, 4, 188, 13]}, {"cell": "<b>Standard deviation</b>", "bbox": [212, 4, 276, 13]}, {"cell": "<b>Median</b>", "bbox": [295, 4, 322, 13]}, {"cell": "<b>Minimum</b>", "bbox": [338,... | 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>Gender</b></td><td><b>Days between donation</b></td><td colspan=\"3\"><b>Observed difference/discrepancy with predicted difference</b></td></tr></thead><tbody><tr><td colspan=\"2\">Total cholesterol (Baseline) (days)</td><td>High (≥240 mg/dL)</td><td>Higher than desired (200–239 mg/dL... | <table><thead><tr><td><b>Gender</b></td><td><b>Days between donation</b></td><td colspan="3"><b>Observed difference/discrepancy with predicted difference</b></td></tr></thead><tbody><tr><td colspan="2">Total cholesterol (Baseline) (days)</td><td>High (≥240 mg/dL)</td><td>Higher than desired (200–239 mg/dL)</td><td>Acce... | [{"cell": "<b>Gender</b>", "bbox": [1, 19, 25, 28]}, {"cell": "<b>Days between donation</b>", "bbox": [58, 8, 103, 28]}, {"cell": "<b>Observed difference/discrepancy with predicted difference</b>", "bbox": [136, 19, 324, 28]}, {"cell": "Total cholesterol (Baseline) (days)", "bbox": [1, 38, 103, 47]}, {"cell": "High (≥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>Inhibitor</b></td><td><b>Conditions</b></td><td>[EMPTY_CELL]</td><td><b><i>K<sub>i</sub></i> Values (μM)</b></td></tr></thead><tbody><tr><td>Toluidine blue O</td><td>[EMPTY_CELL]</td><td>RPR + I then S</td><td>16 ± 2</td></tr><tr><td>Toluidine blue O</td><td>[EMPTY_CELL]</td><td>RPR +... | <table><thead><tr><td><b>Inhibitor</b></td><td><b>Conditions</b></td><td>[EMPTY_CELL]</td><td><b><i>K<sub>i</sub></i> Values (μM)</b></td></tr></thead><tbody><tr><td>Toluidine blue O</td><td>[EMPTY_CELL]</td><td>RPR + I then S</td><td>16 ± 2</td></tr><tr><td>Toluidine blue O</td><td>[EMPTY_CELL]</td><td>RPR + I then S<... | [{"cell": "<b>Inhibitor</b>", "bbox": [32, 5, 71, 14]}, {"cell": "<b>Conditions</b>", "bbox": [125, 5, 173, 14]}, {"cell": "[EMPTY_CELL]", "bbox": [204, 5, 280, 14]}, {"cell": "<b><i>K<sub>i</sub></i> Values (μM)</b>", "bbox": [299, 5, 363, 15]}, {"cell": "Toluidine blue O", "bbox": [17, 21, 86, 32]}, {"cell": "[EMPTY_... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td><b>ACL-D<i>n</i> = 7–18</b></td><td><b>ACL-R<i>n</i> = 16–46</b></td><td><b>ACL-X<i>n</i> = 10–21</b></td><td><b><i>p</i>-value</b></td></tr></thead><tbody><tr><td colspan=\"5\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>99.8 (10.5)</td><... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>ACL-D<i>n</i> = 7–18</b></td><td><b>ACL-R<i>n</i> = 16–46</b></td><td><b>ACL-X<i>n</i> = 10–21</b></td><td><b><i>p</i>-value</b></td></tr></thead><tbody><tr><td colspan="5">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>99.8 (10.5)</td><td>100.5 (4.... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>ACL-D<i>n</i> = 7–18</b>", "bbox": [164, 4, 194, 22]}, {"cell": "<b>ACL-R<i>n</i> = 16–46</b>", "bbox": [263, 4, 297, 22]}, {"cell": "<b>ACL-X<i>n</i> = 10–21</b>", "bbox": [361, 4, 395, 22]}, {"cell": "<b><i>p</i>-value</b>", "bbox": [459, 4, 484, 13]}, {"cell": "[EM... | 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>Healthy controls</b></td><td><b>HLP</b></td><td><b>PNS + HLP</b></td><td><b>PNS-HLP</b></td></tr></thead><tbody><tr><td>gender</td><td>0.196</td><td>0.206</td><td>0.085</td><td>0.045</td></tr><tr><td>age</td><td>0.034</td><td>−0.267</td><td>0.043</td><td>0.043</td... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>Healthy controls</b></td><td><b>HLP</b></td><td><b>PNS + HLP</b></td><td><b>PNS-HLP</b></td></tr></thead><tbody><tr><td>gender</td><td>0.196</td><td>0.206</td><td>0.085</td><td>0.045</td></tr><tr><td>age</td><td>0.034</td><td>−0.267</td><td>0.043</td><td>0.043</td></tr><tr>... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Healthy controls</b>", "bbox": [64, 4, 118, 13]}, {"cell": "<b>HLP</b>", "bbox": [128, 4, 142, 13]}, {"cell": "<b>PNS + HLP</b>", "bbox": [161, 4, 197, 13]}, {"cell": "<b>PNS-HLP</b>", "bbox": [207, 4, 236, 13]}, {"cell": "gender", "bbox": [1, 17, 25, 27]}, {"cell": "... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Scale</b></td><td><b>Intervention (time) effect</b></td><td><b>Group (condition) effect</b></td><td><b>Interaction effect for intervention × group</b></td></tr><tr><td><b>measure</b></td><td><b><i>F </i>and <i>p</i></b></td><td><b><i>F </i>and <i>p</i></b></td><td><b><i>F</i> and <i>p... | <table><thead><tr><td><b>Scale</b></td><td><b>Intervention (time) effect</b></td><td><b>Group (condition) effect</b></td><td><b>Interaction effect for intervention × group</b></td></tr><tr><td><b>measure</b></td><td><b><i>F </i>and <i>p</i></b></td><td><b><i>F </i>and <i>p</i></b></td><td><b><i>F</i> and <i>p</i></b></... | [{"cell": "<b>Scale</b>", "bbox": [49, 4, 68, 14]}, {"cell": "<b>Intervention (time) effect</b>", "bbox": [114, 4, 200, 14]}, {"cell": "<b>Group (condition) effect</b>", "bbox": [238, 4, 322, 14]}, {"cell": "<b>Interaction effect for intervention × group</b>", "bbox": [354, 4, 497, 14]}, {"cell": "<b>measure</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>Primer name</b></td><td><b>Sequence 5’-3’</b></td><td><b>Product length (bp)</b></td></tr></thead><tbody><tr><td>HOXB7</td><td>Forward:CGAGTTCCTTCAACATGCACT</td><td>170 bp</td></tr><tr><td>[EMPTY_CELL]</td><td>Reverse:TTTGCGGTCAGTTCCTGAGC</td><td>[EMPTY_CELL]</td></tr><tr><td>c-Myc</t... | <table><thead><tr><td><b>Primer name</b></td><td><b>Sequence 5’-3’</b></td><td><b>Product length (bp)</b></td></tr></thead><tbody><tr><td>HOXB7</td><td>Forward:CGAGTTCCTTCAACATGCACT</td><td>170 bp</td></tr><tr><td>[EMPTY_CELL]</td><td>Reverse:TTTGCGGTCAGTTCCTGAGC</td><td>[EMPTY_CELL]</td></tr><tr><td>c-Myc</td><td>Forw... | [{"cell": "<b>Primer name</b>", "bbox": [1, 4, 44, 13]}, {"cell": "<b>Sequence 5’-3’</b>", "bbox": [57, 4, 105, 13]}, {"cell": "<b>Product length (bp)</b>", "bbox": [198, 4, 236, 22]}, {"cell": "HOXB7", "bbox": [1, 26, 25, 36]}, {"cell": "Forward:CGAGTTCCTTCAACATGCACT", "bbox": [57, 26, 178, 36]}, {"cell": "170 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><b>Variable</b></td><td><b>Grand multiparas</b></td><td><b>Multiparas</b></td><td><b>Unadjusted</b></td><td><b>Adjusted</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>n = 265(%)</b></td><td><b>n = 760(%)</b></td><td><b>OR (95% CI)</b></td><td><b>OR (95% CI)</b></td></tr></thead><tbody><tr>... | <table><thead><tr><td><b>Variable</b></td><td><b>Grand multiparas</b></td><td><b>Multiparas</b></td><td><b>Unadjusted</b></td><td><b>Adjusted</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>n = 265(%)</b></td><td><b>n = 760(%)</b></td><td><b>OR (95% CI)</b></td><td><b>OR (95% CI)</b></td></tr></thead><tbody><tr><td><b>Mod... | [{"cell": "<b>Variable</b>", "bbox": [1, 4, 31, 13]}, {"cell": "<b>Grand multiparas</b>", "bbox": [142, 4, 205, 13]}, {"cell": "<b>Multiparas</b>", "bbox": [256, 4, 295, 13]}, {"cell": "<b>Unadjusted</b>", "bbox": [347, 4, 389, 13]}, {"cell": "<b>Adjusted</b>", "bbox": [446, 4, 479, 13]}, {"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>Care element</b></td><td><b>Time period</b></td><td><b><i>n</i> (%)</b></td><td><b>Crude OR (95 % CI)</b></td><td><b>Adjusted OR (95 % CI)</b></td><td><b>Adjusted <i>p</i> value</b></td></tr></thead><tbody><tr><td>Provided smoking care advice</td><td>Baseline</td><td>30 (5.4 %)</td><t... | <table><thead><tr><td><b>Care element</b></td><td><b>Time period</b></td><td><b><i>n</i> (%)</b></td><td><b>Crude OR (95 % CI)</b></td><td><b>Adjusted OR (95 % CI)</b></td><td><b>Adjusted <i>p</i> value</b></td></tr></thead><tbody><tr><td>Provided smoking care advice</td><td>Baseline</td><td>30 (5.4 %)</td><td>1</td><t... | [{"cell": "<b>Care element</b>", "bbox": [1, 4, 45, 13]}, {"cell": "<b>Time period</b>", "bbox": [122, 4, 163, 13]}, {"cell": "<b><i>n</i> (%)</b>", "bbox": [186, 4, 204, 13]}, {"cell": "<b>Crude OR (95 % CI)</b>", "bbox": [246, 4, 310, 13]}, {"cell": "<b>Adjusted OR (95 % CI)</b>", "bbox": [333, 4, 406, 13]}, {"cell":... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td colspan=\"2\"><b>Description of item</b></td><td colspan=\"7\"><b>Distribution of responses (%)<sup>a</sup></b></td></tr><tr><td><b>Items</b></td><td><b>Questions</b></td><td><b>0</b></td><td><b>1</b></td><td><b>2</b></td><td><b>3</b></td><td><b>4</b></td><td><b>Mean<sup>b</sup></b></td>... | <table><thead><tr><td colspan="2"><b>Description of item</b></td><td colspan="7"><b>Distribution of responses (%)<sup>a</sup></b></td></tr><tr><td><b>Items</b></td><td><b>Questions</b></td><td><b>0</b></td><td><b>1</b></td><td><b>2</b></td><td><b>3</b></td><td><b>4</b></td><td><b>Mean<sup>b</sup></b></td><td><b>S.E</b>... | [{"cell": "<b>Description of item</b>", "bbox": [1, 7, 69, 17]}, {"cell": "<b>Distribution of responses (%)<sup>a</sup></b>", "bbox": [198, 5, 303, 17]}, {"cell": "<b>Items</b>", "bbox": [1, 23, 21, 32]}, {"cell": "<b>Questions</b>", "bbox": [57, 23, 93, 32]}, {"cell": "<b>0</b>", "bbox": [198, 23, 204, 32]}, {"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>Genotype</b></td><td colspan=\"8\"><b>Year</b></td><td rowspan=\"2\"><b>Total no.</b></td></tr><tr><td><b>2008</b></td><td><b>2009</b></td><td><b>2010</b></td><td><b>2011</b></td><td><b>2012</b></td><td><b>2013</b></td><td><b>2014</b></td><td><b>2015</b></td></tr></thead... | <table><thead><tr><td rowspan="2"><b>Genotype</b></td><td colspan="8"><b>Year</b></td><td rowspan="2"><b>Total no.</b></td></tr><tr><td><b>2008</b></td><td><b>2009</b></td><td><b>2010</b></td><td><b>2011</b></td><td><b>2012</b></td><td><b>2013</b></td><td><b>2014</b></td><td><b>2015</b></td></tr></thead><tbody><tr><td>... | [{"cell": "<b>Genotype</b>", "bbox": [1, 20, 34, 30]}, {"cell": "<b>Year</b>", "bbox": [65, 5, 82, 14]}, {"cell": "<b>Total no.</b>", "bbox": [474, 20, 506, 30]}, {"cell": "<b>2008</b>", "bbox": [65, 20, 83, 30]}, {"cell": "<b>2009</b>", "bbox": [117, 20, 134, 30]}, {"cell": "<b>2010</b>", "bbox": [168, 20, 185, 30]}, ... | 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 colspan=\"3\"><b>VAS score (self-reported health)</b></td><td colspan=\"3\"><b>Utilities European EQ-5D value set</b></td></tr><tr><td colspan=\"2\">[EMPTY_CELL]</td><td><b>B</b></td><td><b>Std. error</b></td><td><b>Beta</b></td><td><b>B</b></td><td><b>... | <table><thead><tr><td colspan="2">[EMPTY_CELL]</td><td colspan="3"><b>VAS score (self-reported health)</b></td><td colspan="3"><b>Utilities European EQ-5D value set</b></td></tr><tr><td colspan="2">[EMPTY_CELL]</td><td><b>B</b></td><td><b>Std. error</b></td><td><b>Beta</b></td><td><b>B</b></td><td><b>Std. error</b></td... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>VAS score (self-reported health)</b>", "bbox": [191, 4, 303, 13]}, {"cell": "<b>Utilities European EQ-5D value set</b>", "bbox": [349, 4, 470, 13]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>B</b>", "bbox": [177, 17, 183, 26]}, {"cell": "<b>Std. error</b>", "... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td rowspan=\"2\"><b>Strain</b></td><td rowspan=\"2\"><b>Genotype</b></td><td rowspan=\"2\"><b>Year</b></td><td rowspan=\"2\"><b>Country and region</b></td><td rowspan=\"2\"><b>Source</b></td><td colspan=\"2\"><b>GenBank accession No.</b></td></tr><tr><td><b>E gene</b></td><td><b>Complete ge... | <table><thead><tr><td rowspan="2"><b>Strain</b></td><td rowspan="2"><b>Genotype</b></td><td rowspan="2"><b>Year</b></td><td rowspan="2"><b>Country and region</b></td><td rowspan="2"><b>Source</b></td><td colspan="2"><b>GenBank accession No.</b></td></tr><tr><td><b>E gene</b></td><td><b>Complete gene</b></td></tr></thea... | [{"cell": "<b>Strain</b>", "bbox": [1, 4, 20, 13]}, {"cell": "<b>Genotype</b>", "bbox": [88, 4, 120, 13]}, {"cell": "<b>Year</b>", "bbox": [145, 4, 160, 13]}, {"cell": "<b>Country and region</b>", "bbox": [185, 4, 225, 22]}, {"cell": "<b>Source</b>", "bbox": [271, 4, 294, 13]}, {"cell": "<b>GenBank accession No.</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>Evaluators</b></td><td><b>Before (dB)</b></td><td><b>After (dB)</b></td><td><b>Evaluators</b></td><td><b>Before (dB)</b></td><td><b>After (dB)</b></td></tr></thead><tbody><tr><td>#1</td><td>99</td><td>85</td><td>#11</td><td> 97</td><td>84</td></tr><tr><td>#2</td><td>102</td><td>84</td... | <table><thead><tr><td><b>Evaluators</b></td><td><b>Before (dB)</b></td><td><b>After (dB)</b></td><td><b>Evaluators</b></td><td><b>Before (dB)</b></td><td><b>After (dB)</b></td></tr></thead><tbody><tr><td>#1</td><td>99</td><td>85</td><td>#11</td><td> 97</td><td>84</td></tr><tr><td>#2</td><td>102</td><td>84</td><td>#12</... | [{"cell": "<b>Evaluators</b>", "bbox": [1, 7, 41, 17]}, {"cell": "<b>Before (dB)</b>", "bbox": [89, 7, 134, 17]}, {"cell": "<b>After (dB)</b>", "bbox": [183, 7, 222, 17]}, {"cell": "<b>Evaluators</b>", "bbox": [271, 7, 311, 17]}, {"cell": "<b>Before (dB)</b>", "bbox": [360, 7, 405, 17]}, {"cell": "<b>After (dB)</b>", "... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td rowspan=\"2\"><b>When Talking to a Patient Who Had Identified as a Current Smoker, How Often Do You:</b></td><td colspan=\"2\"><b>Total (<i>n</i> = 707)</b></td></tr><tr><td><b>Rarely/Never<i>n</i> (%)</b></td><td><b>Always/Most of the Time<i>n</i> (%)</b></td></tr></thead><tbody><tr><td... | <table><thead><tr><td rowspan="2"><b>When Talking to a Patient Who Had Identified as a Current Smoker, How Often Do You:</b></td><td colspan="2"><b>Total (<i>n</i> = 707)</b></td></tr><tr><td><b>Rarely/Never<i>n</i> (%)</b></td><td><b>Always/Most of the Time<i>n</i> (%)</b></td></tr></thead><tbody><tr><td>Ask them abou... | [{"cell": "<b>When Talking to a Patient Who Had Identified as a Current Smoker, How Often Do You:</b>", "bbox": [5, 13, 225, 33]}, {"cell": "<b>Total (<i>n</i> = 707)</b>", "bbox": [298, 4, 352, 14]}, {"cell": "<b>Rarely/Never<i>n</i> (%)</b>", "bbox": [246, 19, 297, 39]}, {"cell": "<b>Always/Most of the Time<i>n</i> (... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td rowspan=\"2\"><b>Model</b></td><td rowspan=\"2\"><b>Variables</b></td><td colspan=\"2\">[EMPTY_CELL]</td><td colspan=\"2\"><b>Severity of CAD</b></td></tr><tr><td><b>OR (95% CI)</b></td><td><b>P Value</b></td><td>[EMPTY_CELL]</td><td><b>P Value</b></td></tr></thead><tbody><tr><td colspan... | <table><thead><tr><td rowspan="2"><b>Model</b></td><td rowspan="2"><b>Variables</b></td><td colspan="2">[EMPTY_CELL]</td><td colspan="2"><b>Severity of CAD</b></td></tr><tr><td><b>OR (95% CI)</b></td><td><b>P Value</b></td><td>[EMPTY_CELL]</td><td><b>P Value</b></td></tr></thead><tbody><tr><td colspan="2">[EMPTY_CELL]<... | [{"cell": "<b>Model</b>", "bbox": [34, 11, 57, 21]}, {"cell": "<b>Variables</b>", "bbox": [130, 11, 162, 21]}, {"cell": "[EMPTY_CELL]", "bbox": [242, 2, 309, 14]}, {"cell": "<b>Severity of CAD</b>", "bbox": [395, 4, 451, 14]}, {"cell": "<b>OR (95% CI)</b>", "bbox": [229, 16, 274, 28]}, {"cell": "<b>P Value</b>", "bbox"... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\"3\"><b>60 bytes</b></td><td colspan=\"3\"><b>1514 bytes</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Min</b></td><td><b>Average</b></td><td><b>Max</b></td><td><b>Min</b></td><td><b>Average</b></td><td><b>Max</b></td></tr></thead><tbody><tr><td>Tx (ms)</td><... | <table><thead><tr><td>[EMPTY_CELL]</td><td colspan="3"><b>60 bytes</b></td><td colspan="3"><b>1514 bytes</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Min</b></td><td><b>Average</b></td><td><b>Max</b></td><td><b>Min</b></td><td><b>Average</b></td><td><b>Max</b></td></tr></thead><tbody><tr><td>Tx (ms)</td><td>0</td><td>0... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>60 bytes</b>", "bbox": [90, 5, 126, 16]}, {"cell": "<b>1514 bytes</b>", "bbox": [204, 5, 248, 16]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Min</b>", "bbox": [57, 21, 77, 32]}, {"cell": "<b>Average</b>", "bbox": [90, 21, 126, 32]}, {"cell": "<b>Max</b>", "b... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td rowspan=\"2\"><b>Chromosome features1</b></td><td colspan=\"2\"><b>Values</b></td></tr><tr><td><b>B301D</b></td><td><b>HS191</b></td></tr></thead><tbody><tr><td>Genome size (bp)</td><td>6,094,819</td><td>5,950,211</td></tr><tr><td>Plasmid (bp)</td><td>0</td><td>1 (52,548)</td></tr><tr><t... | <table><thead><tr><td rowspan="2"><b>Chromosome features1</b></td><td colspan="2"><b>Values</b></td></tr><tr><td><b>B301D</b></td><td><b>HS191</b></td></tr></thead><tbody><tr><td>Genome size (bp)</td><td>6,094,819</td><td>5,950,211</td></tr><tr><td>Plasmid (bp)</td><td>0</td><td>1 (52,548)</td></tr><tr><td>DNA coding s... | [{"cell": "<b>Chromosome features1</b>", "bbox": [1, 21, 77, 32]}, {"cell": "<b>Values</b>", "bbox": [117, 6, 140, 15]}, {"cell": "<b>B301D</b>", "bbox": [117, 22, 141, 32]}, {"cell": "<b>HS191</b>", "bbox": [182, 22, 206, 32]}, {"cell": "Genome size (bp)", "bbox": [1, 40, 59, 49]}, {"cell": "6,094,819", "bbox": [117, ... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Species</b></td><td><b>Strain identification</b></td><td><b>Reference</b></td></tr></thead><tbody><tr><td><i>S. aureus</i></td><td>SH1000</td><td>Horsburgh et al. (2002)</td></tr><tr><td><i>S. epidermidis</i></td><td>B155 (inhibitor producing)</td><td>Libberton et al. (2014)</td></tr>... | <table><thead><tr><td><b>Species</b></td><td><b>Strain identification</b></td><td><b>Reference</b></td></tr></thead><tbody><tr><td><i>S. aureus</i></td><td>SH1000</td><td>Horsburgh et al. (2002)</td></tr><tr><td><i>S. epidermidis</i></td><td>B155 (inhibitor producing)</td><td>Libberton et al. (2014)</td></tr><tr><td><i... | [{"cell": "<b>Species</b>", "bbox": [1, 7, 26, 16]}, {"cell": "<b>Strain identification</b>", "bbox": [58, 7, 121, 16]}, {"cell": "<b>Reference</b>", "bbox": [153, 7, 187, 16]}, {"cell": "<i>S. aureus</i>", "bbox": [1, 24, 32, 34]}, {"cell": "SH1000", "bbox": [58, 24, 85, 34]}, {"cell": "Horsburgh et al. (2002)", "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\">[EMPTY_CELL]</td><td colspan=\"2\"><b>Patients</b></td></tr><tr><td><b>Without CKD</b></td><td><b>With CKD</b></td></tr></thead><tbody><tr><td>Incremental costs of preventable HACs (95% CI) *</td><td>[EMPTY_CELL]</td><td>7522 (7219–7824)</td></tr></tbody></table>", "cells":... | <table><thead><tr><td rowspan="2">[EMPTY_CELL]</td><td colspan="2"><b>Patients</b></td></tr><tr><td><b>Without CKD</b></td><td><b>With CKD</b></td></tr></thead><tbody><tr><td>Incremental costs of preventable HACs (95% CI) *</td><td>[EMPTY_CELL]</td><td>7522 (7219–7824)</td></tr></tbody></table> | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Patients</b>", "bbox": [114, 4, 141, 13]}, {"cell": "<b>Without CKD</b>", "bbox": [114, 17, 157, 26]}, {"cell": "<b>With CKD</b>", "bbox": [178, 17, 211, 26]}, {"cell": "Incremental costs of preventable HACs (95% CI) *", "bbox": [1, 30, 108, 49]}, {"cell": "[EMPTY_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 colspan=\"2\"><b>BI-RADS 4th Edition</b></td><td colspan=\"2\"><b>BI-RADS 5th Edition</b></td></tr></thead><tbody><tr><td>1</td><td>The breast is almost entirely fat (<25% glandular)</td><td>a</td><td>The breasts are almost entirely fatty</td></tr><tr><td>2</td><td>There are scattered... | <table><thead><tr><td colspan="2"><b>BI-RADS 4th Edition</b></td><td colspan="2"><b>BI-RADS 5th Edition</b></td></tr></thead><tbody><tr><td>1</td><td>The breast is almost entirely fat (<25% glandular)</td><td>a</td><td>The breasts are almost entirely fatty</td></tr><tr><td>2</td><td>There are scattered densities (ap... | [{"cell": "<b>BI-RADS 4th Edition</b>", "bbox": [68, 5, 156, 14]}, {"cell": "<b>BI-RADS 5th Edition</b>", "bbox": [285, 5, 374, 14]}, {"cell": "1", "bbox": [7, 21, 13, 32]}, {"cell": "The breast is almost entirely fat (<25% glandular)", "bbox": [23, 21, 218, 32]}, {"cell": "a", "bbox": [228, 21, 234, 32]}, {"cell": "Th... | 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 n</i> (%)</b></td><td><b>Age mean (SD)</b></td><td><b>Male <i>n</i> (%)</b></td><td><b>CAG mean (SD)</b></td><td><b>Burden score mean (SD)</b></td><td><b>TFC mean (SD)</b></td><td><b>TMS mean (SD)</b></td></tr></thead><tbody><tr><td>Total</td><td>76 (100)</td... | <table><thead><tr><td><b>Group</b></td><td><b><i>N n</i> (%)</b></td><td><b>Age mean (SD)</b></td><td><b>Male <i>n</i> (%)</b></td><td><b>CAG mean (SD)</b></td><td><b>Burden score mean (SD)</b></td><td><b>TFC mean (SD)</b></td><td><b>TMS mean (SD)</b></td></tr></thead><tbody><tr><td>Total</td><td>76 (100)</td><td>47.9 ... | [{"cell": "<b>Group</b>", "bbox": [1, 18, 23, 27]}, {"cell": "<b><i>N n</i> (%)</b>", "bbox": [78, 7, 98, 27]}, {"cell": "<b>Age mean (SD)</b>", "bbox": [131, 7, 169, 27]}, {"cell": "<b>Male <i>n</i> (%)</b>", "bbox": [190, 7, 210, 27]}, {"cell": "<b>CAG mean (SD)</b>", "bbox": [242, 7, 281, 27]}, {"cell": "<b>Burden s... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>School name</b></td><td><b>Treatment indication</b></td><td><b>Age treated</b></td><td><b>Principles of correction</b></td><td><b>Classification system</b></td><td><b>Breathing technique</b></td><td><b>Mobilization and flexibility</b></td><td><b>Brace used</b></td><td><b>Evidence</b><... | <table><thead><tr><td><b>School name</b></td><td><b>Treatment indication</b></td><td><b>Age treated</b></td><td><b>Principles of correction</b></td><td><b>Classification system</b></td><td><b>Breathing technique</b></td><td><b>Mobilization and flexibility</b></td><td><b>Brace used</b></td><td><b>Evidence</b></td></tr><... | [{"cell": "<b>School name</b>", "bbox": [1, 4, 42, 13]}, {"cell": "<b>Treatment indication</b>", "bbox": [80, 4, 113, 21]}, {"cell": "<b>Age treated</b>", "bbox": [128, 4, 166, 13]}, {"cell": "<b>Principles of correction</b>", "bbox": [185, 4, 256, 13]}, {"cell": "<b>Classification system</b>", "bbox": [289, 4, 352, 13... | 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>Code</b></td><td><b>RM</b></td><td><b>BM42</b></td><td><b>B10</b></td><td><b>BM19</b></td><td><b>BM26</b></td><td><b>BM34</b></td><td><b>BM35</b></td><td><b>BM36</b></td><td><b>BM50</b></td></tr></thead><tbody><tr><td>Compressive strength (N/mm<sup>2</sup>)</td><td>45.33</td><td>33.42... | <table><thead><tr><td><b>Code</b></td><td><b>RM</b></td><td><b>BM42</b></td><td><b>B10</b></td><td><b>BM19</b></td><td><b>BM26</b></td><td><b>BM34</b></td><td><b>BM35</b></td><td><b>BM36</b></td><td><b>BM50</b></td></tr></thead><tbody><tr><td>Compressive strength (N/mm<sup>2</sup>)</td><td>45.33</td><td>33.42</td><td>3... | [{"cell": "<b>Code</b>", "bbox": [6, 5, 29, 13]}, {"cell": "<b>RM</b>", "bbox": [174, 5, 191, 13]}, {"cell": "<b>BM42</b>", "bbox": [202, 5, 227, 13]}, {"cell": "<b>B10</b>", "bbox": [232, 5, 248, 13]}, {"cell": "<b>BM19</b>", "bbox": [259, 5, 284, 13]}, {"cell": "<b>BM26</b>", "bbox": [288, 5, 313, 13]}, {"cell": "<b>... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td rowspan=\"2\">[EMPTY_CELL]</td><td colspan=\"5\"><b>Reintegration score</b></td></tr><tr><td><b>β</b></td><td><b>95% CI</b></td><td colspan=\"2\"><b>P</b></td><td><b>r<sup>2</sup></b></td></tr></thead><tbody><tr><td>Duration of Fistula</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[E... | <table><thead><tr><td rowspan="2">[EMPTY_CELL]</td><td colspan="5"><b>Reintegration score</b></td></tr><tr><td><b>β</b></td><td><b>95% CI</b></td><td colspan="2"><b>P</b></td><td><b>r<sup>2</sup></b></td></tr></thead><tbody><tr><td>Duration of Fistula</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Reintegration score</b>", "bbox": [110, 4, 174, 13]}, {"cell": "<b>β</b>", "bbox": [110, 17, 117, 26]}, {"cell": "<b>95% CI</b>", "bbox": [139, 17, 163, 27]}, {"cell": "<b>P</b>", "bbox": [168, 17, 174, 27]}, {"cell": "<b>r<sup>2</sup></b>", "bbox": [222, 15, 229, 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>Advantages</b></td><td><b>Disadvantages</b></td></tr></thead><tbody><tr><td><b>Impact of ITR on the transcript</b></td><td>▪ Additional transcription errors and omissions not identified and/or corrected by the researcher can be corrected by interviewees through IT... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>Advantages</b></td><td><b>Disadvantages</b></td></tr></thead><tbody><tr><td><b>Impact of ITR on the transcript</b></td><td>▪ Additional transcription errors and omissions not identified and/or corrected by the researcher can be corrected by interviewees through ITR.</td><td... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Advantages</b>", "bbox": [140, 5, 187, 14]}, {"cell": "<b>Disadvantages</b>", "bbox": [314, 5, 371, 14]}, {"cell": "<b>Impact of ITR on the transcript</b>", "bbox": [4, 27, 127, 36]}, {"cell": "▪ Additional transcription errors and omissions not identified and/or corr... | 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>n</b></td><td colspan=\"2\"><b>Blood glucose (mM)</b></td><td colspan=\"2\"><b>Body weight (g)</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Mono dose</b></td><td><b>Complex dose</b></td><td><b>Mono dose</b></td><td><b>Complex dose</b></td></t... | <table><thead><tr><td><b>Groups</b></td><td><b>n</b></td><td colspan="2"><b>Blood glucose (mM)</b></td><td colspan="2"><b>Body weight (g)</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Mono dose</b></td><td><b>Complex dose</b></td><td><b>Mono dose</b></td><td><b>Complex dose</b></td></tr></thead><tbo... | [{"cell": "<b>Groups</b>", "bbox": [1, 4, 28, 13]}, {"cell": "<b>n</b>", "bbox": [101, 4, 108, 13]}, {"cell": "<b>Blood glucose (mM)</b>", "bbox": [193, 4, 264, 13]}, {"cell": "<b>Body weight (g)</b>", "bbox": [387, 4, 444, 13]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>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><b>Variable</b></td><td><b><i>B</i></b></td><td><b><i>SE</i></b></td><td><b><i>Odds ratio</i></b></td><td><b><i>p</i></b></td><td colspan=\"2\"><b><i>95% CI for Odds Ratio</i></b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_... | <table><thead><tr><td><b>Variable</b></td><td><b><i>B</i></b></td><td><b><i>SE</i></b></td><td><b><i>Odds ratio</i></b></td><td><b><i>p</i></b></td><td colspan="2"><b><i>95% CI for Odds Ratio</i></b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><t... | [{"cell": "<b>Variable</b>", "bbox": [4, 4, 33, 14]}, {"cell": "<b><i>B</i></b>", "bbox": [203, 5, 209, 14]}, {"cell": "<b><i>SE</i></b>", "bbox": [238, 5, 248, 14]}, {"cell": "<b><i>Odds ratio</i></b>", "bbox": [278, 5, 312, 14]}, {"cell": "<b><i>p</i></b>", "bbox": [344, 5, 350, 14]}, {"cell": "<b><i>95% CI for Odds ... | 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>Expression pattern</b></td><td><b>Accession number</b></td><td><b>Protein</b></td><td><b>Gene symbol</b></td></tr></thead><tbody><tr><td rowspan=\"4\">Down‐regulated in tumor tissues from patients with recurrence</td><td>sp|P06702|S10A9_HUMAN</td><td>Protein S100‐A9</td><td>S100A9</td... | <table><thead><tr><td><b>Expression pattern</b></td><td><b>Accession number</b></td><td><b>Protein</b></td><td><b>Gene symbol</b></td></tr></thead><tbody><tr><td rowspan="4">Down‐regulated in tumor tissues from patients with recurrence</td><td>sp|P06702|S10A9_HUMAN</td><td>Protein S100‐A9</td><td>S100A9</td></tr><tr><t... | [{"cell": "<b>Expression pattern</b>", "bbox": [1, 7, 61, 16]}, {"cell": "<b>Accession number</b>", "bbox": [175, 7, 235, 16]}, {"cell": "<b>Protein</b>", "bbox": [298, 7, 322, 16]}, {"cell": "<b>Gene symbol</b>", "bbox": [397, 7, 441, 16]}, {"cell": "Down‐regulated in tumor tissues from patients with recurrence", "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>Reference </b></td><td><b>Systemic condition</b></td><td><b>Cytokines/inflammatory markers</b></td><td><b>PCS symptoms</b></td></tr></thead><tbody><tr><td>Lenz et al. 2007 [22]</td><td>Polytrauma, </td><td>IL-6</td><td>Cognitive impairment</td></tr><tr><td>Hergenroeder et al. 2010 [23... | <table><thead><tr><td><b>Reference </b></td><td><b>Systemic condition</b></td><td><b>Cytokines/inflammatory markers</b></td><td><b>PCS symptoms</b></td></tr></thead><tbody><tr><td>Lenz et al. 2007 [22]</td><td>Polytrauma, </td><td>IL-6</td><td>Cognitive impairment</td></tr><tr><td>Hergenroeder et al. 2010 [23]</td><td>... | [{"cell": "<b>Reference </b>", "bbox": [2, 4, 40, 15]}, {"cell": "<b>Systemic condition</b>", "bbox": [125, 4, 195, 15]}, {"cell": "<b>Cytokines/inflammatory markers</b>", "bbox": [231, 4, 352, 15]}, {"cell": "<b>PCS symptoms</b>", "bbox": [357, 4, 413, 15]}, {"cell": "Lenz et al. 2007 [22]", "bbox": [2, 18, 77, 29]}, ... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Unguja</b></td><td>[EMPTY_CELL]</td><td><b>Pemba</b></td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>n</b></td><td><b>%</b></td><td><b>n</b></td><td><b>%</b></td></tr></thead><tbody><tr><td>Either did not receive or did not take the drug</td><td>1060... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>Unguja</b></td><td>[EMPTY_CELL]</td><td><b>Pemba</b></td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>n</b></td><td><b>%</b></td><td><b>n</b></td><td><b>%</b></td></tr></thead><tbody><tr><td>Either did not receive or did not take the drug</td><td>1060</td><td>[... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Unguja</b>", "bbox": [250, 4, 275, 13]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Pemba</b>", "bbox": [394, 4, 418, 13]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>n</b>", "bbox": [250, 17, 257, 27]}, {"cell": "... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Context</b></td><td><b>Blocking Mechanism</b></td><td><b>Outcome not achieved</b></td></tr></thead><tbody><tr><td rowspan=\"2\">Communication between Clinical Commissioning Group and general practitioners</td><td>Feedback on alerts requires logging in</td><td rowspan=\"2\">Potential d... | <table><thead><tr><td><b>Context</b></td><td><b>Blocking Mechanism</b></td><td><b>Outcome not achieved</b></td></tr></thead><tbody><tr><td rowspan="2">Communication between Clinical Commissioning Group and general practitioners</td><td>Feedback on alerts requires logging in</td><td rowspan="2">Potential delays in patie... | [{"cell": "<b>Context</b>", "bbox": [1, 4, 28, 13]}, {"cell": "<b>Blocking Mechanism</b>", "bbox": [201, 4, 269, 13]}, {"cell": "<b>Outcome not achieved</b>", "bbox": [344, 4, 420, 13]}, {"cell": "Communication between Clinical Commissioning Group and general practitioners", "bbox": [1, 17, 161, 36]}, {"cell": "Feedbac... | 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>Characteristics</b></td><td><b><i>N</i></b></td><td><b>Odds Ratio</b></td><td><b>(95%CI )</b></td><td><b><i>P</i></b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>... | <table><thead><tr><td><b>Characteristics</b></td><td><b><i>N</i></b></td><td><b>Odds Ratio</b></td><td><b>(95%CI )</b></td><td><b><i>P</i></b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>69</td><td... | [{"cell": "<b>Characteristics</b>", "bbox": [116, 4, 168, 13]}, {"cell": "<b><i>N</i></b>", "bbox": [299, 4, 306, 12]}, {"cell": "<b>Odds Ratio</b>", "bbox": [331, 4, 371, 13]}, {"cell": "<b>(95%CI )</b>", "bbox": [398, 4, 429, 13]}, {"cell": "<b><i>P</i></b>", "bbox": [463, 4, 469, 12]}, {"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>Males, % (counts)</b></td><td><b>Females, % (counts)</b></td></tr></thead><tbody><tr><td>Age (years of age)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> 45–59</td><td>20.43 (48/235)</td><td>25.41 (78/307)</td></tr><tr><td> 60–74</td><td>34.43 (94/27... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>Males, % (counts)</b></td><td><b>Females, % (counts)</b></td></tr></thead><tbody><tr><td>Age (years of age)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> 45–59</td><td>20.43 (48/235)</td><td>25.41 (78/307)</td></tr><tr><td> 60–74</td><td>34.43 (94/273)</td><td... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Males, % (counts)</b>", "bbox": [92, 4, 150, 13]}, {"cell": "<b>Females, % (counts)</b>", "bbox": [171, 4, 236, 13]}, {"cell": "Age (years of age)", "bbox": [1, 17, 61, 27]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": " 45–59"... | 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>Categories</b></td><td><b>Attributes</b></td><td><b>US</b></td><td><b>Japan</b></td></tr></thead><tbody><tr><td rowspan=\"2\">[EMPTY_CELL]</td><td>Male</td><td>42.5%</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>57.5%</td><td>23.9%</td></tr><tr><td rowspan=\"7\">[EMPTY_CE... | <table><thead><tr><td><b>Categories</b></td><td><b>Attributes</b></td><td><b>US</b></td><td><b>Japan</b></td></tr></thead><tbody><tr><td rowspan="2">[EMPTY_CELL]</td><td>Male</td><td>42.5%</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>57.5%</td><td>23.9%</td></tr><tr><td rowspan="7">[EMPTY_CELL]</td><td>19... | [{"cell": "<b>Categories</b>", "bbox": [1, 5, 48, 16]}, {"cell": "<b>Attributes</b>", "bbox": [80, 5, 126, 16]}, {"cell": "<b>US</b>", "bbox": [162, 5, 177, 16]}, {"cell": "<b>Japan</b>", "bbox": [204, 5, 232, 16]}, {"cell": "[EMPTY_CELL]", "bbox": [16, 28, 33, 39]}, {"cell": "Male", "bbox": [91, 20, 114, 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>[EMPTY_CELL]</td><td colspan=\"3\"><b>Sugar source density</b></td><td colspan=\"3\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>Scenario</b></td><td>[EMPTY_CELL]</td><td><b>Scenario × day</b></td><td><b>Scenario</b></td><td><b>Day</b></td><td><b>Scenario × day</b></td></tr></t... | <table><thead><tr><td>[EMPTY_CELL]</td><td colspan="3"><b>Sugar source density</b></td><td colspan="3">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>Scenario</b></td><td>[EMPTY_CELL]</td><td><b>Scenario × day</b></td><td><b>Scenario</b></td><td><b>Day</b></td><td><b>Scenario × day</b></td></tr></thead><tbody><t... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Sugar source density</b>", "bbox": [79, 4, 153, 13]}, {"cell": "[EMPTY_CELL]", "bbox": [292, 4, 362, 13]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Scenario</b>", "bbox": [79, 17, 110, 27]}, {"cell": "[EMPTY_CELL]", "bbox": [148, 17, 164, 27]}, {"cell": "<b>... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Sets Name</b></td><td><b>Number of sets</b></td><td>[EMPTY_CELL]</td><td><b>Number of structures</b></td></tr></thead><tbody><tr><td>I-TASSER</td><td>[EMPTY_CELL]</td><td>80 (47–118)</td><td>24,707</td></tr><tr><td>Moulder</td><td>[EMPTY_CELL]</td><td>174 (81–340)</td><td>6406</td></t... | <table><thead><tr><td><b>Sets Name</b></td><td><b>Number of sets</b></td><td>[EMPTY_CELL]</td><td><b>Number of structures</b></td></tr></thead><tbody><tr><td>I-TASSER</td><td>[EMPTY_CELL]</td><td>80 (47–118)</td><td>24,707</td></tr><tr><td>Moulder</td><td>[EMPTY_CELL]</td><td>174 (81–340)</td><td>6406</td></tr><tr><td>... | [{"cell": "<b>Sets Name</b>", "bbox": [1, 4, 37, 13]}, {"cell": "<b>Number of sets</b>", "bbox": [45, 4, 96, 13]}, {"cell": "[EMPTY_CELL]", "bbox": [104, 2, 158, 13]}, {"cell": "<b>Number of structures</b>", "bbox": [166, 4, 236, 13]}, {"cell": "I-TASSER", "bbox": [1, 17, 30, 27]}, {"cell": "[EMPTY_CELL]", "bbox": [45,... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td colspan=\"2\"><b>Oxidants</b></td><td colspan=\"3\"><b>DOLE concentrations</b></td></tr><tr><td colspan=\"2\">[EMPTY_CELL]</td><td><b>1 mg/mL</b></td><td><b>0.5 mg/mL</b></td><td><b>0.125 mg/mL</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.58 ± 1.03<sup>... | <table><thead><tr><td colspan="2"><b>Oxidants</b></td><td colspan="3"><b>DOLE concentrations</b></td></tr><tr><td colspan="2">[EMPTY_CELL]</td><td><b>1 mg/mL</b></td><td><b>0.5 mg/mL</b></td><td><b>0.125 mg/mL</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.58 ± 1.03<sup>*</sup></td><td>... | [{"cell": "<b>Oxidants</b>", "bbox": [71, 4, 106, 15]}, {"cell": "<b>DOLE concentrations</b>", "bbox": [328, 4, 408, 15]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>1 mg/mL</b>", "bbox": [243, 16, 276, 27]}, {"cell": "<b>0.5 mg/mL</b>", "bbox": [346, 16, 386, 27]}, {"cell": "<b>0.125 mg/mL</b>", "bbox": [451, ... | 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>Element (mg·kg<sup>−1</sup>)</b></td><td><b>Reference mean</b></td><td><b>Std. dev.</b></td><td><b>Measured mean</b></td><td><b>Uncertainty</b></td><td><b><i>E</i><sub><i>n</i></sub></b></td></tr></thead><tbody><tr><td>As</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.48</td><td>... | <table><thead><tr><td><b>Element (mg·kg<sup>−1</sup>)</b></td><td><b>Reference mean</b></td><td><b>Std. dev.</b></td><td><b>Measured mean</b></td><td><b>Uncertainty</b></td><td><b><i>E</i><sub><i>n</i></sub></b></td></tr></thead><tbody><tr><td>As</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.48</td><td>0.16</td><... | [{"cell": "<b>Element (mg·kg<sup>−1</sup>)</b>", "bbox": [2, 4, 40, 27]}, {"cell": "<b>Reference mean</b>", "bbox": [45, 4, 82, 25]}, {"cell": "<b>Std. dev.</b>", "bbox": [86, 9, 118, 20]}, {"cell": "<b>Measured mean</b>", "bbox": [122, 4, 160, 25]}, {"cell": "<b>Uncertainty</b>", "bbox": [165, 9, 210, 20]}, {"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>Physicochemical property</b></td><td><b>SpaC</b></td><td><b>SodC</b></td><td><b>NanH</b></td><td><b>PknG</b></td></tr></thead><tbody><tr><td>Number of amino acids</td><td>796</td><td>206</td><td>694</td><td>749</td></tr><tr><td>Molecular weight</td><td>85,964.9</td><td>21,099.3</td><t... | <table><thead><tr><td><b>Physicochemical property</b></td><td><b>SpaC</b></td><td><b>SodC</b></td><td><b>NanH</b></td><td><b>PknG</b></td></tr></thead><tbody><tr><td>Number of amino acids</td><td>796</td><td>206</td><td>694</td><td>749</td></tr><tr><td>Molecular weight</td><td>85,964.9</td><td>21,099.3</td><td>74,683.3... | [{"cell": "<b>Physicochemical property</b>", "bbox": [1, 4, 92, 14]}, {"cell": "<b>SpaC</b>", "bbox": [236, 4, 256, 14]}, {"cell": "<b>SodC</b>", "bbox": [304, 4, 324, 14]}, {"cell": "<b>NanH</b>", "bbox": [372, 4, 393, 14]}, {"cell": "<b>PknG</b>", "bbox": [440, 4, 460, 14]}, {"cell": "Number of amino acids", "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>Characteristic</b></td><td><b>Non-XDRABC</b></td><td><b>XDRABC</b></td><td><b><i>P</i><sup>a</sup></b></td><td><b>OR<sup>b</sup></b></td><td><b>95% CI<sup>b</sup></b></td><td><b><i>P</i><sup>b</sup></b></td></tr></thead><tbody><tr><td>Number</td><td>1212</td><td>428</td><td>[EMPTY_CEL... | <table><thead><tr><td><b>Characteristic</b></td><td><b>Non-XDRABC</b></td><td><b>XDRABC</b></td><td><b><i>P</i><sup>a</sup></b></td><td><b>OR<sup>b</sup></b></td><td><b>95% CI<sup>b</sup></b></td><td><b><i>P</i><sup>b</sup></b></td></tr></thead><tbody><tr><td>Number</td><td>1212</td><td>428</td><td>[EMPTY_CELL]</td><td... | [{"cell": "<b>Characteristic</b>", "bbox": [1, 4, 49, 12]}, {"cell": "<b>Non-XDRABC</b>", "bbox": [106, 4, 154, 12]}, {"cell": "<b>XDRABC</b>", "bbox": [190, 4, 221, 12]}, {"cell": "<b><i>P</i><sup>a</sup></b>", "bbox": [262, 2, 271, 12]}, {"cell": "<b>OR<sup>b</sup></b>", "bbox": [322, 2, 337, 12]}, {"cell": "<b>95% 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>Author</b></td><td><b>Hemorrhage</b></td><td><b>Tracheostomy</b></td><td><b>Gastrostomy</b></td><td><b>No Return to diet</b></td><td><b>Other</b></td><td><b>Deaths</b></td><td><b>Total Complications</b></td></tr></thead><tbody><tr><td>Abuzeid et al. [26]</td><td>-</td><td>-</td><td>-<... | <table><thead><tr><td><b>Author</b></td><td><b>Hemorrhage</b></td><td><b>Tracheostomy</b></td><td><b>Gastrostomy</b></td><td><b>No Return to diet</b></td><td><b>Other</b></td><td><b>Deaths</b></td><td><b>Total Complications</b></td></tr></thead><tbody><tr><td>Abuzeid et al. [26]</td><td>-</td><td>-</td><td>-</td><td>0/... | [{"cell": "<b>Author</b>", "bbox": [1, 4, 25, 13]}, {"cell": "<b>Hemorrhage</b>", "bbox": [73, 4, 115, 13]}, {"cell": "<b>Tracheostomy</b>", "bbox": [128, 4, 175, 13]}, {"cell": "<b>Gastrostomy</b>", "bbox": [188, 4, 230, 13]}, {"cell": "<b>No Return to diet</b>", "bbox": [243, 4, 301, 13]}, {"cell": "<b>Other</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><b>Link Color</b></td><td><b>Carried Data</b></td><td><b>Utilization</b></td></tr></thead><tbody><tr><td>Link color 1 + Counter 1</td><td>Affordable workload</td><td>If the targeted node is battery powered, the 4-bit of <i>link color 1</i> flags will be used to represent the RDC level of... | <table><thead><tr><td><b>Link Color</b></td><td><b>Carried Data</b></td><td><b>Utilization</b></td></tr></thead><tbody><tr><td>Link color 1 + Counter 1</td><td>Affordable workload</td><td>If the targeted node is battery powered, the 4-bit of <i>link color 1</i> flags will be used to represent the RDC level of this node... | [{"cell": "<b>Link Color</b>", "bbox": [12, 7, 57, 16]}, {"cell": "<b>Carried Data</b>", "bbox": [86, 7, 139, 16]}, {"cell": "<b>Utilization</b>", "bbox": [306, 7, 348, 16]}, {"cell": "Link color 1 + Counter 1", "bbox": [7, 38, 61, 63]}, {"cell": "Affordable workload", "bbox": [73, 45, 151, 55]}, {"cell": "If the targe... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\"2\"><b>Reaction system<sup>c</sup></b></td></tr><tr><td><b>Steps</b></td><td><b>Cycles</b></td><td><b>Thermal programs</b></td><td><b>Components</b></td><td><b>Volume (μL)</b></td></tr></thead><tbody><tr><td rowspan... | <table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan="2"><b>Reaction system<sup>c</sup></b></td></tr><tr><td><b>Steps</b></td><td><b>Cycles</b></td><td><b>Thermal programs</b></td><td><b>Components</b></td><td><b>Volume (μL)</b></td></tr></thead><tbody><tr><td rowspan="8">TAIL-1<... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Reaction system<sup>c</sup></b>", "bbox": [338, 5, 402, 17]}, {"cell": "<b>Steps</b>", "bbox": [1, 26, 22, 36]}, {"cell": "<b>Cycles</b>", "bbox": [47, 26, 73, 36]}, {"cell": "<b>Thermal progr... | 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>Gene ID</b></td><td colspan=\"4\"><b>Fold changed (under BPH infestation)</b></td><td rowspan=\"2\"><b>Gene annotation</b></td></tr><tr><td><b>R6P/R6C</b></td><td><b>R24P/R24C</b></td><td><b>T6P/T6C</b></td><td><b>T24P/T24C</b></td></tr></thead><tbody><tr><td colspan=\"6... | <table><thead><tr><td rowspan="2"><b>Gene ID</b></td><td colspan="4"><b>Fold changed (under BPH infestation)</b></td><td rowspan="2"><b>Gene annotation</b></td></tr><tr><td><b>R6P/R6C</b></td><td><b>R24P/R24C</b></td><td><b>T6P/T6C</b></td><td><b>T24P/T24C</b></td></tr></thead><tbody><tr><td colspan="6">SA pathway(59)<... | [{"cell": "<b>Gene ID</b>", "bbox": [1, 4, 28, 13]}, {"cell": "<b>Fold changed (under BPH infestation)</b>", "bbox": [61, 4, 184, 13]}, {"cell": "<b>Gene annotation</b>", "bbox": [236, 4, 292, 13]}, {"cell": "<b>R6P/R6C</b>", "bbox": [61, 17, 90, 27]}, {"cell": "<b>R24P/R24C</b>", "bbox": [101, 17, 138, 27]}, {"cell": ... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Subjects</b></td><td><b><i>X</i> ± SD (median)</b></td><td><b>Sig.</b></td></tr></thead><tbody><tr><td colspan=\"3\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>172.00 ± 83.94 (168.00)</td><td rowspan=\"2\">Mann-Whitney <i>U</i> test, <i>P</i> = 0.708</td></tr><tr><td>[EMPTY_CE... | <table><thead><tr><td><b>Subjects</b></td><td><b><i>X</i> ± SD (median)</b></td><td><b>Sig.</b></td></tr></thead><tbody><tr><td colspan="3">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>172.00 ± 83.94 (168.00)</td><td rowspan="2">Mann-Whitney <i>U</i> test, <i>P</i> = 0.708</td></tr><tr><td>[EMPTY_CELL]</td><td>18... | [{"cell": "<b>Subjects</b>", "bbox": [2, 9, 34, 20]}, {"cell": "<b><i>X</i> ± SD (median)</b>", "bbox": [193, 9, 256, 20]}, {"cell": "<b>Sig.</b>", "bbox": [431, 9, 446, 20]}, {"cell": "[EMPTY_CELL]", "bbox": [228, 22, 273, 32]}, {"cell": "[EMPTY_CELL]", "bbox": [2, 35, 76, 45]}, {"cell": "172.00 ± 83.94 (168.00)", "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>Biofilm</b></td><td><b>SPR</b></td><td><b>QCM</b></td></tr></thead><tbody><tr><td><b><i>Liposomes</i></b></td><td>1,800</td><td>4,200</td></tr><tr><td><b><i>SLB</i></b></td><td>500</td><td>630</td></tr><tr><td><b><i>Streptavidin</i></b></td><td>240</td><td>590</td></tr><tr><td><b><i>S... | <table><thead><tr><td><b>Biofilm</b></td><td><b>SPR</b></td><td><b>QCM</b></td></tr></thead><tbody><tr><td><b><i>Liposomes</i></b></td><td>1,800</td><td>4,200</td></tr><tr><td><b><i>SLB</i></b></td><td>500</td><td>630</td></tr><tr><td><b><i>Streptavidin</i></b></td><td>240</td><td>590</td></tr><tr><td><b><i>Single 30-m... | [{"cell": "<b>Biofilm</b>", "bbox": [88, 3, 125, 17]}, {"cell": "<b>SPR</b>", "bbox": [219, 3, 241, 17]}, {"cell": "<b>QCM</b>", "bbox": [280, 3, 308, 17]}, {"cell": "<b><i>Liposomes</i></b>", "bbox": [7, 18, 57, 32]}, {"cell": "1,800", "bbox": [217, 18, 243, 32]}, {"cell": "4,200", "bbox": [281, 18, 307, 32]}, {"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 rowspan=\"2\"><b>Reference</b></td><td colspan=\"3\"><b>Unadjusted analyses</b></td></tr><tr><td><b>Odds Ratio</b></td><td><b>95 % CI</b></td><td><b>p value</b></td></tr></thead><tbody><tr><td colspan=\"5\">Primary independent variable</td></tr><tr><... | <table><thead><tr><td rowspan="2"><b>Variable</b></td><td rowspan="2"><b>Reference</b></td><td colspan="3"><b>Unadjusted analyses</b></td></tr><tr><td><b>Odds Ratio</b></td><td><b>95 % CI</b></td><td><b>p value</b></td></tr></thead><tbody><tr><td colspan="5">Primary independent variable</td></tr><tr><td> Antibiotic exp... | [{"cell": "<b>Variable</b>", "bbox": [1, 4, 31, 14]}, {"cell": "<b>Reference</b>", "bbox": [194, 4, 230, 14]}, {"cell": "<b>Unadjusted analyses</b>", "bbox": [319, 4, 392, 14]}, {"cell": "<b>Odds Ratio</b>", "bbox": [319, 20, 359, 30]}, {"cell": "<b>95 % CI</b>", "bbox": [392, 20, 419, 30]}, {"cell": "<b>p value</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>Case number</b></td><td><b>1</b></td><td><b>2</b></td><td><b>3</b></td></tr></thead><tbody><tr><td>Authors</td><td>Huang CE et al. [9]</td><td>Farhat et al. [10]</td><td>Sobas et al. [this report]</td></tr><tr><td>Sex</td><td>Female</td><td>Female</td><td>Female</td></tr><tr><td>ITP d... | <table><thead><tr><td><b>Case number</b></td><td><b>1</b></td><td><b>2</b></td><td><b>3</b></td></tr></thead><tbody><tr><td>Authors</td><td>Huang CE et al. [9]</td><td>Farhat et al. [10]</td><td>Sobas et al. [this report]</td></tr><tr><td>Sex</td><td>Female</td><td>Female</td><td>Female</td></tr><tr><td>ITP diagnosis</... | [{"cell": "<b>Case number</b>", "bbox": [2, 4, 52, 15]}, {"cell": "<b>1</b>", "bbox": [77, 4, 82, 15]}, {"cell": "<b>2</b>", "bbox": [196, 4, 202, 15]}, {"cell": "<b>3</b>", "bbox": [354, 4, 360, 15]}, {"cell": "Authors", "bbox": [2, 18, 34, 29]}, {"cell": "Huang CE et al. [9]", "bbox": [77, 18, 148, 29]}, {"cell": "Fa... | 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>Very important % (n)</b></td><td><b>Somewhat important % (n)</b></td><td><b>Not very important% (n)</b></td><td><b>Not at all important % (n)</b></td></tr></thead><tbody><tr><td><b>Fast food</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><t... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>Very important % (n)</b></td><td><b>Somewhat important % (n)</b></td><td><b>Not very important% (n)</b></td><td><b>Not at all important % (n)</b></td></tr></thead><tbody><tr><td><b>Fast food</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_C... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Very important % (n)</b>", "bbox": [67, 5, 140, 14]}, {"cell": "<b>Somewhat important % (n)</b>", "bbox": [162, 5, 254, 14]}, {"cell": "<b>Not very important% (n)</b>", "bbox": [279, 5, 365, 14]}, {"cell": "<b>Not at all important % (n)</b>", "bbox": [389, 5, 478, 14]... | 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>numDF</b></td><td><b>denDF</b></td><td><b>F-value</b></td><td><b>p-value</b></td></tr></thead><tbody><tr><td><b>Intercept</b></td><td>1</td><td>117</td><td>2620.7331</td><td><0.0001</td></tr><tr><td><b>Group</b></td><td>2</td><td>117</td><td>2.0231</td><td>0.13... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>numDF</b></td><td><b>denDF</b></td><td><b>F-value</b></td><td><b>p-value</b></td></tr></thead><tbody><tr><td><b>Intercept</b></td><td>1</td><td>117</td><td>2620.7331</td><td><0.0001</td></tr><tr><td><b>Group</b></td><td>2</td><td>117</td><td>2.0231</td><td>0.1369</td></t... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>numDF</b>", "bbox": [74, 4, 101, 13]}, {"cell": "<b>denDF</b>", "bbox": [118, 4, 142, 13]}, {"cell": "<b>F-value</b>", "bbox": [158, 4, 185, 13]}, {"cell": "<b>p-value</b>", "bbox": [209, 4, 236, 13]}, {"cell": "<b>Intercept</b>", "bbox": [0, 17, 34, 26]}, {"cell": "1... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td colspan=\"2\">[EMPTY_CELL]</td><td><b>α-acid</b></td><td><b>β-acid</b></td><td><b>Cohumulone (% of α-acid)</b></td><td><b>α-acid:β-acid</b></td><td><b>α-acid:total resin</b></td></tr></thead><tbody><tr><td colspan=\"7\"><b>a.</b></td></tr><tr><td colspan=\"2\"><b>α-acid</b></td><td>[EMPT... | <table><thead><tr><td colspan="2">[EMPTY_CELL]</td><td><b>α-acid</b></td><td><b>β-acid</b></td><td><b>Cohumulone (% of α-acid)</b></td><td><b>α-acid:β-acid</b></td><td><b>α-acid:total resin</b></td></tr></thead><tbody><tr><td colspan="7"><b>a.</b></td></tr><tr><td colspan="2"><b>α-acid</b></td><td>[EMPTY_CELL]</td><td>... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>α-acid</b>", "bbox": [191, 4, 214, 14]}, {"cell": "<b>β-acid</b>", "bbox": [257, 4, 281, 14]}, {"cell": "<b>Cohumulone (% of α-acid)</b>", "bbox": [320, 4, 366, 23]}, {"cell": "<b>α-acid:β-acid</b>", "bbox": [382, 4, 428, 14]}, {"cell": "<b>α-acid:total resin</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><b>#</b></td><td><b>Oligonucleotide sequences (5'to 3')</b></td><td><b>Locations of complementary nucleotides within the MHV-A59 genome</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>Biotin-CTACAAGAGTTTTAGAGTTGAGAGGGTACG</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><t... | <table><thead><tr><td><b>#</b></td><td><b>Oligonucleotide sequences (5'to 3')</b></td><td><b>Locations of complementary nucleotides within the MHV-A59 genome</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>Biotin-CTACAAGAGTTTTAGAGTTGAGAGGGTACG</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Biotin-G... | [{"cell": "<b>#</b>", "bbox": [6, 4, 12, 14]}, {"cell": "<b>Oligonucleotide sequences (5'to 3')</b>", "bbox": [65, 4, 185, 14]}, {"cell": "<b>Locations of complementary nucleotides within the MHV-A59 genome</b>", "bbox": [248, 4, 486, 14]}, {"cell": "[EMPTY_CELL]", "bbox": [5, 27, 13, 36]}, {"cell": "Biotin-CTACAAGAGTT... | 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>SNP type</b></td><td><b>Allele</b></td><td><b>Number of SNPs</b></td><td><b>Percentage</b></td></tr></thead><tbody><tr><td>Transition</td><td>A/G</td><td>11757</td><td>32.29%</td></tr><tr><td>[EMPTY_CELL]</td><td>G/C</td><td>12703</td><td>34.89%</td></tr><tr><td>Transversion</td><td>A... | <table><thead><tr><td><b>SNP type</b></td><td><b>Allele</b></td><td><b>Number of SNPs</b></td><td><b>Percentage</b></td></tr></thead><tbody><tr><td>Transition</td><td>A/G</td><td>11757</td><td>32.29%</td></tr><tr><td>[EMPTY_CELL]</td><td>G/C</td><td>12703</td><td>34.89%</td></tr><tr><td>Transversion</td><td>A/C</td><td... | [{"cell": "<b>SNP type</b>", "bbox": [1, 4, 34, 13]}, {"cell": "<b>Allele</b>", "bbox": [90, 4, 112, 13]}, {"cell": "<b>Number of SNPs</b>", "bbox": [120, 4, 179, 13]}, {"cell": "<b>Percentage</b>", "bbox": [196, 4, 236, 13]}, {"cell": "Transition", "bbox": [1, 17, 33, 27]}, {"cell": "A/G", "bbox": [97, 17, 112, 27]}, ... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Patient demographics</b></td><td><b>Intent known(n = 8978)</b></td><td><b>Intent unknown(n = 3953)</b></td><td><b>p-value</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>%(95% CIs)*</b></td><td><b>%(95% CIs)*</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td><b>Gender (n = 12,779)... | <table><thead><tr><td><b>Patient demographics</b></td><td><b>Intent known(n = 8978)</b></td><td><b>Intent unknown(n = 3953)</b></td><td><b>p-value</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>%(95% CIs)*</b></td><td><b>%(95% CIs)*</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td><b>Gender (n = 12,779)</b></td><... | [{"cell": "<b>Patient demographics</b>", "bbox": [47, 4, 125, 13]}, {"cell": "<b>Intent known(n = 8978)</b>", "bbox": [205, 4, 253, 22]}, {"cell": "<b>Intent unknown(n = 3953)</b>", "bbox": [313, 4, 371, 22]}, {"cell": "<b>p-value</b>", "bbox": [429, 4, 457, 13]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"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 rowspan=\"3\">[EMPTY_CELL]</td><td><b>Cohort A</b></td><td><b>Cohort B</b></td><td rowspan=\"3\"><b>Total (<i>N</i> = 15)</b></td></tr><tr><td><b>(<i>n</i> = 8)</b></td><td><b>(<i>n</i> = 7)</b></td></tr><tr><td><b>Ipi 3 mg/kg</b></td><td><b>Ipi 10 mg/kg</b></td></tr></thead><tbody><tr><... | <table><thead><tr><td rowspan="3">[EMPTY_CELL]</td><td><b>Cohort A</b></td><td><b>Cohort B</b></td><td rowspan="3"><b>Total (<i>N</i> = 15)</b></td></tr><tr><td><b>(<i>n</i> = 8)</b></td><td><b>(<i>n</i> = 7)</b></td></tr><tr><td><b>Ipi 3 mg/kg</b></td><td><b>Ipi 10 mg/kg</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Cohort A</b>", "bbox": [111, 8, 144, 18]}, {"cell": "<b>Cohort B</b>", "bbox": [159, 8, 192, 18]}, {"cell": "<b>Total (<i>N</i> = 15)</b>", "bbox": [212, 8, 239, 28]}, {"cell": "<b>(<i>n</i> = 8)</b>", "bbox": [111, 18, 133, 28]}, {"cell": "<b>(<i>n</i> = 7)</b>", "bb... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Sample</b></td><td><b>Color of biofilma</b></td><td><b>Sampling locationb</b></td><td><b>Roofc</b></td></tr></thead><tbody><tr><td>P13</td><td rowspan=\"5\">Salmon pink (P)</td><td>Southwest area of tower 28</td><td>+</td></tr><tr><td>P20</td><td>North-facing wall between towers 35 an... | <table><thead><tr><td><b>Sample</b></td><td><b>Color of biofilma</b></td><td><b>Sampling locationb</b></td><td><b>Roofc</b></td></tr></thead><tbody><tr><td>P13</td><td rowspan="5">Salmon pink (P)</td><td>Southwest area of tower 28</td><td>+</td></tr><tr><td>P20</td><td>North-facing wall between towers 35 and 36</td><td... | [{"cell": "<b>Sample</b>", "bbox": [30, 4, 58, 14]}, {"cell": "<b>Color of biofilma</b>", "bbox": [111, 3, 172, 14]}, {"cell": "<b>Sampling locationb</b>", "bbox": [279, 3, 346, 14]}, {"cell": "<b>Roofc</b>", "bbox": [455, 3, 477, 14]}, {"cell": "P13", "bbox": [36, 18, 51, 28]}, {"cell": "Salmon pink (P)", "bbox": [111... | 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>Combinations</b></td><td><b>GPS MEO</b></td><td><b>BDS GEO</b></td><td><b>BDS IGSO</b></td><td><b>BDS MEO</b></td></tr></thead><tbody><tr><td>WL</td><td>59.30%</td><td>62.45%</td><td>65.11%</td><td>63.31%</td></tr><tr><td>EWL-I</td><td>99.90%</td><td>100.00%</td><td>99.98%</td><td>99.... | <table><thead><tr><td><b>Combinations</b></td><td><b>GPS MEO</b></td><td><b>BDS GEO</b></td><td><b>BDS IGSO</b></td><td><b>BDS MEO</b></td></tr></thead><tbody><tr><td>WL</td><td>59.30%</td><td>62.45%</td><td>65.11%</td><td>63.31%</td></tr><tr><td>EWL-I</td><td>99.90%</td><td>100.00%</td><td>99.98%</td><td>99.99%</td></... | [{"cell": "<b>Combinations</b>", "bbox": [8, 5, 69, 14]}, {"cell": "<b>GPS MEO</b>", "bbox": [90, 5, 135, 14]}, {"cell": "<b>BDS GEO</b>", "bbox": [165, 5, 208, 14]}, {"cell": "<b>BDS IGSO</b>", "bbox": [237, 5, 284, 14]}, {"cell": "<b>BDS MEO</b>", "bbox": [312, 5, 357, 14]}, {"cell": "WL", "bbox": [30, 21, 47, 30]}, ... | 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>SMURF</b></td><td><b>antiSMASH</b></td><td><b>Manual</b></td><td><b>Experimental</b></td><td><b>Total clusters predicted*</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>49</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>9</td><td>[EMPTY_CELL]</td></tr>... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>SMURF</b></td><td><b>antiSMASH</b></td><td><b>Manual</b></td><td><b>Experimental</b></td><td><b>Total clusters predicted*</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>49</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>9</td><td>[EMPTY_CELL]</td></tr><tr><td>[E... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>SMURF</b>", "bbox": [84, 4, 111, 13]}, {"cell": "<b>antiSMASH</b>", "bbox": [154, 4, 194, 13]}, {"cell": "<b>Manual</b>", "bbox": [237, 4, 264, 13]}, {"cell": "<b>Experimental</b>", "bbox": [307, 4, 355, 13]}, {"cell": "<b>Total clusters predicted*</b>", "bbox": [397,... | 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>Hyper-parameters</b></td><td><b>Values explored</b></td><td><b>Parameter</b></td></tr></thead><tbody><tr><td colspan=\"3\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Laplace/Lidstone smoothing parameter</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</t... | <table><thead><tr><td><b>Hyper-parameters</b></td><td><b>Values explored</b></td><td><b>Parameter</b></td></tr></thead><tbody><tr><td colspan="3">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Laplace/Lidstone smoothing parameter</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Class ... | [{"cell": "<b>Hyper-parameters</b>", "bbox": [1, 4, 66, 14]}, {"cell": "<b>Values explored</b>", "bbox": [94, 4, 151, 14]}, {"cell": "<b>Parameter</b>", "bbox": [292, 4, 330, 14]}, {"cell": "[EMPTY_CELL]", "bbox": [1, 22, 70, 32]}, {"cell": "[EMPTY_CELL]", "bbox": [5, 34, 26, 44]}, {"cell": "[EMPTY_CELL]", "bbox": [94,... | 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>Men</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Women</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>NFG</td><td>[EMPTY_CELL]</td><td>DM</td><td>P value*</td... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>Men</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Women</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>NFG</td><td>[EMPTY_CELL]</td><td>DM</td><td>P value*</td><td>[EMPT... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Men</b>", "bbox": [91, 4, 108, 12]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Women</b>", "bbox": [386, 4, 415, 12]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"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>Variable</b></td><td><b>Nilotinib</b></td><td><b>Dasatinib</b></td><td><b>Totaln (%)</b></td><td><b><i>p</i>-value(2 sided)</b></td></tr></thead><tbody><tr><td colspan=\"5\"><i>Accessibility of the drug in physician institution</i></td></tr><tr><td> Not at all</td><td>34 (94.44)</td><... | <table><thead><tr><td><b>Variable</b></td><td><b>Nilotinib</b></td><td><b>Dasatinib</b></td><td><b>Totaln (%)</b></td><td><b><i>p</i>-value(2 sided)</b></td></tr></thead><tbody><tr><td colspan="5"><i>Accessibility of the drug in physician institution</i></td></tr><tr><td> Not at all</td><td>34 (94.44)</td><td>29 (93.55... | [{"cell": "<b>Variable</b>", "bbox": [1, 4, 27, 13]}, {"cell": "<b>Nilotinib</b>", "bbox": [55, 4, 84, 13]}, {"cell": "<b>Dasatinib</b>", "bbox": [97, 4, 129, 13]}, {"cell": "<b>Totaln (%)</b>", "bbox": [140, 4, 174, 13]}, {"cell": "<b><i>p</i>-value(2 sided)</b>", "bbox": [184, 4, 236, 13]}, {"cell": "<i>Accessibility... | 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>Mazzotti reactions</b></td><td><b>After OCP-patch</b></td><td><b>After LTS-2 patch</b></td></tr></thead><tbody><tr><td>Itching at patch application site: <i>n</i> (%)<sup>*</sup></td><td>19 (63.3 %) at OCP-patch site</td><td>6 (20.0 %) at LTS-2 patch site</td></tr><tr><td>[EMPTY_CELL]... | <table><thead><tr><td><b>Mazzotti reactions</b></td><td><b>After OCP-patch</b></td><td><b>After LTS-2 patch</b></td></tr></thead><tbody><tr><td>Itching at patch application site: <i>n</i> (%)<sup>*</sup></td><td>19 (63.3 %) at OCP-patch site</td><td>6 (20.0 %) at LTS-2 patch site</td></tr><tr><td>[EMPTY_CELL]</td><td>[... | [{"cell": "<b>Mazzotti reactions</b>", "bbox": [1, 4, 60, 13]}, {"cell": "<b>After OCP-patch</b>", "bbox": [231, 4, 285, 13]}, {"cell": "<b>After LTS-2 patch</b>", "bbox": [376, 4, 433, 13]}, {"cell": "Itching at patch application site: <i>n</i> (%)<sup>*</sup>", "bbox": [1, 15, 127, 27]}, {"cell": "19 (63.3 %) at OCP-... | 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>Variables</b></td><td><b>Frequency (%)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>390 (99.2)</td></tr><tr><td>[EMPTY_CELL]</td><td>3 (0.80)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]... | <table><thead><tr><td><b>Variables</b></td><td><b>Frequency (%)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>390 (99.2)</td></tr><tr><td>[EMPTY_CELL]</td><td>3 (0.80)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>3... | [{"cell": "<b>Variables</b>", "bbox": [1, 4, 30, 13]}, {"cell": "<b>Frequency (%)</b>", "bbox": [189, 4, 236, 13]}, {"cell": "[EMPTY_CELL]", "bbox": [1, 17, 124, 27]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": [8, 31, 21, 41]}, {"cell": "390 (99.2)", "bbox": [196, 31, 229, 41]}, {"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>Study</b></td><td><b>Number of patients</b></td><td><b>Adverse infectious effects</b></td></tr></thead><tbody><tr><td>Mulley [21]</td><td>7</td><td>CMV* viremia + BKVAN** (n=1), pneumonia (n=1), Herpes zoster (n=1), </td></tr><tr><td>Faguer [17]</td><td>8</td><td>BKVAN (n=3), septic s... | <table><thead><tr><td><b>Study</b></td><td><b>Number of patients</b></td><td><b>Adverse infectious effects</b></td></tr></thead><tbody><tr><td>Mulley [21]</td><td>7</td><td>CMV* viremia + BKVAN** (n=1), pneumonia (n=1), Herpes zoster (n=1), </td></tr><tr><td>Faguer [17]</td><td>8</td><td>BKVAN (n=3), septic shock (n=2)... | [{"cell": "<b>Study</b>", "bbox": [6, 2, 30, 13]}, {"cell": "<b>Number of patients</b>", "bbox": [90, 2, 169, 13]}, {"cell": "<b>Adverse infectious effects</b>", "bbox": [208, 2, 310, 13]}, {"cell": "Mulley [21]", "bbox": [6, 24, 54, 35]}, {"cell": "7", "bbox": [90, 24, 97, 35]}, {"cell": "CMV* viremia + BKVAN** (n=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. |
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