image imagewidth (px) 109 721 | prompt stringclasses 1
value | answer stringlengths 271 54.4k | html stringlengths 125 12.8k | cells stringlengths 123 41.6k | system stringclasses 1
value |
|---|---|---|---|---|---|
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Aniline exposure (L)</b></td><td><b>Relative intensity of aniline (N1)</b></td><td><b>Relative intensity of azobenzene (N2)</b></td></tr></thead><tbody><tr><td>3,600</td><td>0.84</td><td>0.16</td></tr><tr><td>4,800</td><td>0.45</td><td>0.55</td></tr><tr><td>7,200</td><td>0.40</td><td>... | <table><thead><tr><td><b>Aniline exposure (L)</b></td><td><b>Relative intensity of aniline (N1)</b></td><td><b>Relative intensity of azobenzene (N2)</b></td></tr></thead><tbody><tr><td>3,600</td><td>0.84</td><td>0.16</td></tr><tr><td>4,800</td><td>0.45</td><td>0.55</td></tr><tr><td>7,200</td><td>0.40</td><td>0.60</td><... | [{"cell": "<b>Aniline exposure (L)</b>", "bbox": [1, 4, 45, 22]}, {"cell": "<b>Relative intensity of aniline (N1)</b>", "bbox": [75, 4, 137, 22]}, {"cell": "<b>Relative intensity of azobenzene (N2)</b>", "bbox": [167, 4, 236, 22]}, {"cell": "3,600", "bbox": [14, 27, 32, 35]}, {"cell": "0.84", "bbox": [99, 27, 114, 35]}... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in 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>Exercise type</b></td><td><b>Muscle</b></td><td><b>Pre-synaptic compartment</b></td><td><b>Post-synaptic compartment</b></td></tr></thead><tbody><tr><td>Crockett et al. [16]</td><td>Endurance</td><td>Soleus and vastus lateralis</td><td>Not measured</td><td>Vas... | <table><thead><tr><td><b>Reference</b></td><td><b>Exercise type</b></td><td><b>Muscle</b></td><td><b>Pre-synaptic compartment</b></td><td><b>Post-synaptic compartment</b></td></tr></thead><tbody><tr><td>Crockett et al. [16]</td><td>Endurance</td><td>Soleus and vastus lateralis</td><td>Not measured</td><td>Vastus latera... | [{"cell": "<b>Reference</b>", "bbox": [1, 4, 37, 14]}, {"cell": "<b>Exercise type</b>", "bbox": [88, 4, 136, 14]}, {"cell": "<b>Muscle</b>", "bbox": [141, 4, 167, 14]}, {"cell": "<b>Pre-synaptic compartment</b>", "bbox": [203, 4, 298, 14]}, {"cell": "<b>Post-synaptic compartment</b>", "bbox": [349, 4, 446, 14]}, {"cell... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Family ID</b></td><td><b>Pfam acc (PF)</b></td><td><b>Pfam name</b></td><td><b>No. of gain</b></td><td><b>No. of TP</b></td><td><b>No. of FP</b></td></tr></thead><tbody><tr><td>552114</td><td>[EMPTY_CELL]</td><td>DDE superfamily endonuclease</td><td>142</td><td>[EMPTY_CELL]</td><td>6<... | <table><thead><tr><td><b>Family ID</b></td><td><b>Pfam acc (PF)</b></td><td><b>Pfam name</b></td><td><b>No. of gain</b></td><td><b>No. of TP</b></td><td><b>No. of FP</b></td></tr></thead><tbody><tr><td>552114</td><td>[EMPTY_CELL]</td><td>DDE superfamily endonuclease</td><td>142</td><td>[EMPTY_CELL]</td><td>6</td></tr><... | [{"cell": "<b>Family ID</b>", "bbox": [1, 7, 37, 17]}, {"cell": "<b>Pfam acc (PF)</b>", "bbox": [57, 7, 106, 17]}, {"cell": "<b>Pfam name</b>", "bbox": [125, 7, 165, 17]}, {"cell": "<b>No. of gain</b>", "bbox": [313, 7, 354, 17]}, {"cell": "<b>No. of TP</b>", "bbox": [374, 7, 410, 17]}, {"cell": "<b>No. of FP</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>[EMPTY_CELL]</td><td colspan=\"3\"><b>Warnings impact score</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b><i>b</i></b></td><td><b><i>β</i> [95% CI]</b></td><td><b><i>p</i></b></td></tr></thead><tbody><tr><td>(Intercept)</td><td>−0.81</td><td>0.03 [ −0.33, 0.40]</td><td>0.86</td></tr><tr><... | <table><thead><tr><td>[EMPTY_CELL]</td><td colspan="3"><b>Warnings impact score</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b><i>b</i></b></td><td><b><i>β</i> [95% CI]</b></td><td><b><i>p</i></b></td></tr></thead><tbody><tr><td>(Intercept)</td><td>−0.81</td><td>0.03 [ −0.33, 0.40]</td><td>0.86</td></tr><tr><td>Assessmen... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Warnings impact score</b>", "bbox": [231, 5, 306, 14]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b><i>b</i></b>", "bbox": [231, 18, 237, 27]}, {"cell": "<b><i>β</i> [95% CI]</b>", "bbox": [326, 18, 361, 27]}, {"cell": "<b><i>p</i></b>", "bbox": [469, 18, 475, ... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in 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>Aetiology/endoscopic findings</b></td><td><b>Frequency</b></td><td><b>Percentage</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>51.3</td></tr><tr><td>Duodenal ulcers</td><td>[EMPTY_CELL]</td><td>14.2</td></tr><tr><td>Gastritis</td><td>[EMPTY_CELL]</td><t... | <table><thead><tr><td><b>Aetiology/endoscopic findings</b></td><td><b>Frequency</b></td><td><b>Percentage</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>51.3</td></tr><tr><td>Duodenal ulcers</td><td>[EMPTY_CELL]</td><td>14.2</td></tr><tr><td>Gastritis</td><td>[EMPTY_CELL]</td><td>12.9</td... | [{"cell": "<b>Aetiology/endoscopic findings</b>", "bbox": [1, 4, 108, 13]}, {"cell": "<b>Frequency</b>", "bbox": [133, 4, 171, 13]}, {"cell": "<b>Percentage</b>", "bbox": [196, 4, 236, 13]}, {"cell": "[EMPTY_CELL]", "bbox": [1, 17, 68, 26]}, {"cell": "[EMPTY_CELL]", "bbox": [133, 17, 146, 26]}, {"cell": "51.3", "bbox":... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\"4\"><b><i>LSAS</i></b></td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\"2\"><b><i>Low (-59)</i></b></td><td colspan=\"2\"><b><i>High (60-)</i></b></td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\"2\"><b><i>(N = 202)</... | <table><thead><tr><td>[EMPTY_CELL]</td><td colspan="4"><b><i>LSAS</i></b></td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td colspan="2"><b><i>Low (-59)</i></b></td><td colspan="2"><b><i>High (60-)</i></b></td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td colspan="2"><b><i>(N = 202)</i></b></td><td col... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b><i>LSAS</i></b>", "bbox": [140, 4, 158, 13]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b><i>Low (-59)</i></b>", "bbox": [106, 16, 140, 25]}, {"cell": "<b><i>High (60-)</i></b>", "bbox": [157, 16, 193, 25]}, {"cell": "[EMPT... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Treatment</b></td><td colspan=\"2\"><b>Saline</b></td><td colspan=\"2\"><b>Cocaine</b></td></tr><tr><td><b>Firing pattern</b></td><td><b>Tonic firing (STF)</b></td><td><b>Non tonic firing (SNTF)</b></td><td><b>Tonic firing (CTF)</b></td><td><b>Non tonic firing (CNTF)</b></td></tr></th... | <table><thead><tr><td><b>Treatment</b></td><td colspan="2"><b>Saline</b></td><td colspan="2"><b>Cocaine</b></td></tr><tr><td><b>Firing pattern</b></td><td><b>Tonic firing (STF)</b></td><td><b>Non tonic firing (SNTF)</b></td><td><b>Tonic firing (CTF)</b></td><td><b>Non tonic firing (CNTF)</b></td></tr></thead><tbody><tr... | [{"cell": "<b>Treatment</b>", "bbox": [1, 8, 39, 17]}, {"cell": "<b>Saline</b>", "bbox": [189, 8, 213, 17]}, {"cell": "<b>Cocaine</b>", "bbox": [396, 8, 427, 17]}, {"cell": "<b>Firing pattern</b>", "bbox": [1, 22, 50, 31]}, {"cell": "<b>Tonic firing (STF)</b>", "bbox": [112, 22, 173, 31]}, {"cell": "<b>Non tonic firing... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in 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>Sample</b></td><td>[EMPTY_CELL]</td><td><b>Found (<i>μ</i>g/g)*</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>Aconitine</b></td><td><b>Mesaconitine</b></td><td><b>Hypaconitine</b></td></tr></thead><tbody><tr><td>Raw Caowu</td><td>83.7 ± 6.9</td><td>527.1 ± 66.7</td><td>24... | <table><thead><tr><td rowspan="2"><b>Sample</b></td><td>[EMPTY_CELL]</td><td><b>Found (<i>μ</i>g/g)*</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>Aconitine</b></td><td><b>Mesaconitine</b></td><td><b>Hypaconitine</b></td></tr></thead><tbody><tr><td>Raw Caowu</td><td>83.7 ± 6.9</td><td>527.1 ± 66.7</td><td>240.5 ± 6.4</t... | [{"cell": "<b>Sample</b>", "bbox": [2, 12, 31, 23]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Found (<i>μ</i>g/g)*</b>", "bbox": [128, 7, 183, 18]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Aconitine</b>", "bbox": [82, 20, 119, 30]}, {"cell": "<b>Mesaconitine</b>", "bbox": [131, 20, 181, 30]}, {"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>Interaction</b></td><td><b>Amount (<i>expected</i>)</b></td><td><b>%</b></td><td><b>%A<sup>–</sup></b></td><td><b>%π</b></td></tr></thead><tbody><tr><td>Glu–His</td><td>13 763 (13 805)</td><td>16.7</td><td>29.8</td><td>55.8</td></tr><tr><td>Glu–Tyr</td><td>13 592 (13 428)</td><td>16.5... | <table><thead><tr><td><b>Interaction</b></td><td><b>Amount (<i>expected</i>)</b></td><td><b>%</b></td><td><b>%A<sup>–</sup></b></td><td><b>%π</b></td></tr></thead><tbody><tr><td>Glu–His</td><td>13 763 (13 805)</td><td>16.7</td><td>29.8</td><td>55.8</td></tr><tr><td>Glu–Tyr</td><td>13 592 (13 428)</td><td>16.5</td><td>2... | [{"cell": "<b>Interaction</b>", "bbox": [1, 8, 41, 17]}, {"cell": "<b>Amount (<i>expected</i>)</b>", "bbox": [65, 8, 131, 17]}, {"cell": "<b>%</b>", "bbox": [154, 8, 163, 17]}, {"cell": "<b>%A<sup>–</sup></b>", "bbox": [194, 8, 212, 17]}, {"cell": "<b>%π</b>", "bbox": [235, 8, 250, 17]}, {"cell": "Glu–His", "bbox": [0,... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td><b>KPCG (53pts)</b></td><td><b>CG (80pts)</b></td><td><b>p</b></td></tr></thead><tbody><tr><td>AGE (years)</td><td>63.1 ± 18.3</td><td>65.3 ± 16.4</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>35/18</td><td>46/34</td><td>[EMPTY_CELL]</td></tr><tr><td>ICU... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>KPCG (53pts)</b></td><td><b>CG (80pts)</b></td><td><b>p</b></td></tr></thead><tbody><tr><td>AGE (years)</td><td>63.1 ± 18.3</td><td>65.3 ± 16.4</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>35/18</td><td>46/34</td><td>[EMPTY_CELL]</td></tr><tr><td>ICU LOS (days... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>KPCG (53pts)</b>", "bbox": [79, 4, 117, 12]}, {"cell": "<b>CG (80pts)</b>", "bbox": [152, 4, 184, 12]}, {"cell": "<b>p</b>", "bbox": [219, 4, 225, 12]}, {"cell": "AGE (years)", "bbox": [1, 16, 34, 24]}, {"cell": "63.1 ± 18.3", "bbox": [79, 16, 110, 24]}, {"cell": "65.... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in 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>Non-redundant GenBank</b></td></tr><tr><td><b>No.</b></td><td><b>Cluster ID</b></td><td><b>ESTs</b></td><td><b>Best identity descriptor</b></td><td><b>Accession</b></td><td><b>E-value</b></td><td><b><i>C. ele... | <table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan="4"><b>Non-redundant GenBank</b></td></tr><tr><td><b>No.</b></td><td><b>Cluster ID</b></td><td><b>ESTs</b></td><td><b>Best identity descriptor</b></td><td><b>Accession</b></td><td><b>E-value</b></td><td><b><i>C. elegans </i>gen... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Non-redundant GenBank</b>", "bbox": [109, 5, 208, 14]}, {"cell": "<b>No.</b>", "bbox": [5, 27, 21, 36]}, {"cell": "<b>Cluster ID</b>", "bbox": [28, 27, 70, 36]}, {"cell": "<b>ESTs</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 rowspan=\"2\"><b>Processing pressure (psi)</b></td><td rowspan=\"2\"><b># Passes</b></td><td colspan=\"2\"><b>Particle size (Z-ave, nm)</b></td><td colspan=\"2\"><b>Pdl</b></td><td colspan=\"2\"><b>Measured GLA concentration [100 ± 20 μg/ml target]</b></td></tr><tr><td><b>DM</b></td><td>... | <table><thead><tr><td rowspan="2"><b>Processing pressure (psi)</b></td><td rowspan="2"><b># Passes</b></td><td colspan="2"><b>Particle size (Z-ave, nm)</b></td><td colspan="2"><b>Pdl</b></td><td colspan="2"><b>Measured GLA concentration [100 ± 20 μg/ml target]</b></td></tr><tr><td><b>DM</b></td><td><b>T = 6 mo</b></td>... | [{"cell": "<b>Processing pressure (psi)</b>", "bbox": [0, 4, 49, 23]}, {"cell": "<b># Passes</b>", "bbox": [59, 4, 90, 14]}, {"cell": "<b>Particle size (Z-ave, nm)</b>", "bbox": [104, 4, 188, 14]}, {"cell": "<b>Pdl</b>", "bbox": [236, 4, 249, 14]}, {"cell": "<b>Measured GLA concentration [100 ± 20 μg/ml target]</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>(NH<sub>4</sub>)<sub>2</sub>SO<sub>4</sub> saturation (%)</b></td><td><b>A: Total Protein (g/L)</b></td><td><b>B: Total Activity (EU/mL)</b></td><td><b>C: Specific activity (EU/g protein)</b></td><td><b>D: Recovery (%)</b></td><td><b>E: Purification factor</b></td><td><b>F: C × D</b><... | <table><thead><tr><td><b>(NH<sub>4</sub>)<sub>2</sub>SO<sub>4</sub> saturation (%)</b></td><td><b>A: Total Protein (g/L)</b></td><td><b>B: Total Activity (EU/mL)</b></td><td><b>C: Specific activity (EU/g protein)</b></td><td><b>D: Recovery (%)</b></td><td><b>E: Purification factor</b></td><td><b>F: C × D</b></td></tr><... | [{"cell": "<b>(NH<sub>4</sub>)<sub>2</sub>SO<sub>4</sub> saturation (%)</b>", "bbox": [14, 4, 61, 47]}, {"cell": "<b>A: Total Protein (g/L)</b>", "bbox": [87, 4, 124, 47]}, {"cell": "<b>B: Total Activity (EU/mL)</b>", "bbox": [157, 4, 197, 47]}, {"cell": "<b>C: Specific activity (EU/g protein)</b>", "bbox": [225, 11, 3... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td><b>TNF-α</b></td><td><b>CRP</b></td><td><b>TNF R1</b></td><td><b>TNF R2</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.11</td><td>[EMPTY_CELL]</td><td>[... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>TNF-α</b></td><td><b>CRP</b></td><td><b>TNF R1</b></td><td><b>TNF R2</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.11</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>TNF-α</b>", "bbox": [54, 5, 76, 13]}, {"cell": "<b>CRP</b>", "bbox": [99, 5, 115, 13]}, {"cell": "<b>TNF R1</b>", "bbox": [145, 5, 172, 13]}, {"cell": "<b>TNF R2</b>", "bbox": [193, 5, 219, 13]}, {"cell": "[EMPTY_CELL]", "bbox": [1, 19, 22, 26]}, {"cell": "1", "bbox":... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td rowspan=\"2\"><b>Storage Condition</b></td><td rowspan=\"2\"><b>Analytes</b></td><td rowspan=\"2\"><b>Conc. (ng/ml)</b></td><td colspan=\"2\"><b>Concentration measured %)<sup>a</sup></b></td></tr><tr><td><b>Fresh</b></td><td><b>Stability</b></td></tr></thead><tbody><tr><td rowspan=\"3\">... | <table><thead><tr><td rowspan="2"><b>Storage Condition</b></td><td rowspan="2"><b>Analytes</b></td><td rowspan="2"><b>Conc. (ng/ml)</b></td><td colspan="2"><b>Concentration measured %)<sup>a</sup></b></td></tr><tr><td><b>Fresh</b></td><td><b>Stability</b></td></tr></thead><tbody><tr><td rowspan="3">Main stock solution ... | [{"cell": "<b>Storage Condition</b>", "bbox": [3, 9, 109, 26]}, {"cell": "<b>Analytes</b>", "bbox": [168, 9, 220, 26]}, {"cell": "<b>Conc. (ng/ml)</b>", "bbox": [230, 2, 272, 32]}, {"cell": "<b>Concentration measured %)<sup>a</sup></b>", "bbox": [278, 1, 444, 19]}, {"cell": "<b>Fresh</b>", "bbox": [301, 16, 336, 32]}, ... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\"2\"><b>Lag 0</b></td><td colspan=\"2\"><b>Lag 4</b></td></tr><tr><td><b>Model (Non-residents)</b></td><td><b>AIC</b></td><td><b>MSPE</b></td><td><b>AIC</b></td><td><b>MSPE</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>−42.79</td><td>5.01</td><td>... | <table><thead><tr><td>[EMPTY_CELL]</td><td colspan="2"><b>Lag 0</b></td><td colspan="2"><b>Lag 4</b></td></tr><tr><td><b>Model (Non-residents)</b></td><td><b>AIC</b></td><td><b>MSPE</b></td><td><b>AIC</b></td><td><b>MSPE</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>−42.79</td><td>5.01</td><td>[EMPTY_CELL]</... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Lag 0</b>", "bbox": [104, 4, 125, 13]}, {"cell": "<b>Lag 4</b>", "bbox": [176, 4, 197, 13]}, {"cell": "<b>Model (Non-residents)</b>", "bbox": [1, 17, 79, 26]}, {"cell": "<b>AIC</b>", "bbox": [104, 17, 117, 26]}, {"cell": "<b>MSPE</b>", "bbox": [142, 17, 164, 26]}, {"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>Complex</b></td><td><b><i>Drosophila</i></b></td><td><b>Name</b></td><td><b>Alternative symbol</b></td><td><b>Accession no.</b></td><td><b>Total no. of amino acids</b></td><td><b>Modification site</b></td><td><b>Conservation in mouse</b></td><td><b>Refs</b></td></tr></thead><tbody><tr... | <table><thead><tr><td><b>Complex</b></td><td><b><i>Drosophila</i></b></td><td><b>Name</b></td><td><b>Alternative symbol</b></td><td><b>Accession no.</b></td><td><b>Total no. of amino acids</b></td><td><b>Modification site</b></td><td><b>Conservation in mouse</b></td><td><b>Refs</b></td></tr></thead><tbody><tr><td>PRC2<... | [{"cell": "<b>Complex</b>", "bbox": [4, 4, 37, 14]}, {"cell": "<b><i>Drosophila</i></b>", "bbox": [43, 5, 78, 14]}, {"cell": "<b>Name</b>", "bbox": [89, 4, 111, 14]}, {"cell": "<b>Alternative symbol</b>", "bbox": [120, 4, 185, 14]}, {"cell": "<b>Accession no.</b>", "bbox": [191, 4, 239, 14]}, {"cell": "<b>Total no. of ... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in 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>[EMPTY_CELL]</td><td><b>Estimate</b></td><td><b>SE</b></td><td><b>HR</b></td><td colspan=\"2\"><b>95% CI</b></td><td><b><i>P</i></b></td></tr></thead><tbody><tr><td>group</td><td>TH</td><td>−0.204</td><td>0.205</td><td>0.816</td><td>0.546</td><td>1.22</td><td>0.31... | <table><thead><tr><td><b>Variable</b></td><td>[EMPTY_CELL]</td><td><b>Estimate</b></td><td><b>SE</b></td><td><b>HR</b></td><td colspan="2"><b>95% CI</b></td><td><b><i>P</i></b></td></tr></thead><tbody><tr><td>group</td><td>TH</td><td>−0.204</td><td>0.205</td><td>0.816</td><td>0.546</td><td>1.22</td><td>0.319</td></tr><... | [{"cell": "<b>Variable</b>", "bbox": [2, 4, 34, 14]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Estimate</b>", "bbox": [135, 4, 168, 14]}, {"cell": "<b>SE</b>", "bbox": [219, 4, 230, 14]}, {"cell": "<b>HR</b>", "bbox": [284, 4, 299, 14]}, {"cell": "<b>95% CI</b>", "bbox": [375, 4, 404, 14]}, {"cell": "<b><i>P<... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Length of region</b></td><td><b>Measures</b></td><td colspan=\"3\"><b>ACP</b></td><td><b>BICP</b></td></tr><tr><td><b>(<i>L</i>)</b></td><td>[EMPTY_CELL]</td><td><b><i>h=2</i></b></td><td><b><i>h=10</i></b></td><td><b><i>h=20</i></b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><t... | <table><thead><tr><td><b>Length of region</b></td><td><b>Measures</b></td><td colspan="3"><b>ACP</b></td><td><b>BICP</b></td></tr><tr><td><b>(<i>L</i>)</b></td><td>[EMPTY_CELL]</td><td><b><i>h=2</i></b></td><td><b><i>h=10</i></b></td><td><b><i>h=20</i></b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>600</td><t... | [{"cell": "<b>Length of region</b>", "bbox": [1, 5, 60, 14]}, {"cell": "<b>Measures</b>", "bbox": [70, 5, 105, 14]}, {"cell": "<b>ACP</b>", "bbox": [154, 5, 170, 14]}, {"cell": "<b>BICP</b>", "bbox": [218, 5, 236, 14]}, {"cell": "<b>(<i>L</i>)</b>", "bbox": [25, 18, 36, 27]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"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 rowspan=\"2\">[EMPTY_CELL]</td><td colspan=\"3\"><b>1995</b></td><td colspan=\"3\"><b>2011–2012</b></td><td rowspan=\"2\"><b>Mean Difference (95% CI)</b></td></tr><tr><td><b><i>n</i></b></td><td><b>Mean (kJ)</b></td><td><b>SD</b></td><td><b><i>n</i></b></td><td><b>Mean (kJ)</b></td><td>[... | <table><thead><tr><td rowspan="2">[EMPTY_CELL]</td><td colspan="3"><b>1995</b></td><td colspan="3"><b>2011–2012</b></td><td rowspan="2"><b>Mean Difference (95% CI)</b></td></tr><tr><td><b><i>n</i></b></td><td><b>Mean (kJ)</b></td><td><b>SD</b></td><td><b><i>n</i></b></td><td><b>Mean (kJ)</b></td><td>[EMPTY_CELL]</td></... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>1995</b>", "bbox": [115, 5, 135, 15]}, {"cell": "<b>2011–2012</b>", "bbox": [213, 5, 255, 15]}, {"cell": "<b>Mean Difference (95% CI)</b>", "bbox": [296, 13, 405, 24]}, {"cell": "<b><i>n</i></b>", "bbox": [81, 23, 88, 29]}, {"cell": "<b>Mean (kJ)</b>", "bbox": [106, 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>Liver</b></td><td><b>Kidney</b></td><td><b>Urine</b></td><td><b>Plasma</b></td></tr></thead><tbody><tr><td>94% ± 0%</td><td>95% ± 1%</td><td>95% ± 1%</td><td>100</td></tr></tbody></table>", "cells": [{"cell": "<b>Liver</b>", "bbox": [5, 6, 26, 16]}, {"cell": "<b>Kidney</b>", "bbox": [... | <table><thead><tr><td><b>Liver</b></td><td><b>Kidney</b></td><td><b>Urine</b></td><td><b>Plasma</b></td></tr></thead><tbody><tr><td>94% ± 0%</td><td>95% ± 1%</td><td>95% ± 1%</td><td>100</td></tr></tbody></table> | [{"cell": "<b>Liver</b>", "bbox": [5, 6, 26, 16]}, {"cell": "<b>Kidney</b>", "bbox": [79, 6, 107, 16]}, {"cell": "<b>Urine</b>", "bbox": [151, 6, 174, 16]}, {"cell": "<b>Plasma</b>", "bbox": [213, 6, 241, 16]}, {"cell": "94% ± 0%", "bbox": [5, 20, 43, 28]}, {"cell": "95% ± 1%", "bbox": [74, 20, 112, 28]}, {"cell": "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><b>Cluster</b></td><td><b>No of Genes</b></td><td><b>Average Radius</b></td><td><b>Status in pterygium</b></td><td><b>Major function by GO</b></td></tr></thead><tbody><tr><td>1</td><td>58</td><td>2.463</td><td>Down-regulated</td><td>Response to stimulus</td></tr><tr><td>2</td><td>13</td>... | <table><thead><tr><td><b>Cluster</b></td><td><b>No of Genes</b></td><td><b>Average Radius</b></td><td><b>Status in pterygium</b></td><td><b>Major function by GO</b></td></tr></thead><tbody><tr><td>1</td><td>58</td><td>2.463</td><td>Down-regulated</td><td>Response to stimulus</td></tr><tr><td>2</td><td>13</td><td>1.803<... | [{"cell": "<b>Cluster</b>", "bbox": [4, 5, 35, 14]}, {"cell": "<b>No of Genes</b>", "bbox": [53, 5, 103, 14]}, {"cell": "<b>Average Radius</b>", "bbox": [127, 5, 189, 14]}, {"cell": "<b>Status in pterygium</b>", "bbox": [217, 5, 295, 14]}, {"cell": "<b>Major function by GO</b>", "bbox": [329, 5, 414, 14]}, {"cell": "1"... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Benchmark dataset a</b></td><td><b>Sn (%)</b></td><td><b>Sp (%)</b></td><td><b>Acc (%)</b></td><td><b>MCC</b></td></tr></thead><tbody><tr><td>Supplementary Information S1 for HyP</td><td>70.68</td><td>89.03</td><td>78.42</td><td>0.52</td></tr><tr><td>Supplementary Information S2 for H... | <table><thead><tr><td><b>Benchmark dataset a</b></td><td><b>Sn (%)</b></td><td><b>Sp (%)</b></td><td><b>Acc (%)</b></td><td><b>MCC</b></td></tr></thead><tbody><tr><td>Supplementary Information S1 for HyP</td><td>70.68</td><td>89.03</td><td>78.42</td><td>0.52</td></tr><tr><td>Supplementary Information S2 for HyL</td><td... | [{"cell": "<b>Benchmark dataset a</b>", "bbox": [48, 4, 148, 18]}, {"cell": "<b>Sn (%)</b>", "bbox": [206, 6, 241, 18]}, {"cell": "<b>Sp (%)</b>", "bbox": [269, 6, 304, 18]}, {"cell": "<b>Acc (%)</b>", "bbox": [334, 6, 375, 18]}, {"cell": "<b>MCC</b>", "bbox": [408, 6, 437, 18]}, {"cell": "Supplementary Information S1 ... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in 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>Parameters</b></td><td colspan=\"2\"><b>Ultrasonography (%)</b></td><td colspan=\"2\"><b>Radiography (%)</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>95%CI</td><td>Value</td><td>95%CI</td><td>P</td></tr><tr><td>Sensitivity</td><td>... | <table><thead><tr><td><b>Parameters</b></td><td colspan="2"><b>Ultrasonography (%)</b></td><td colspan="2"><b>Radiography (%)</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>95%CI</td><td>Value</td><td>95%CI</td><td>P</td></tr><tr><td>Sensitivity</td><td>86.2 (25/29)</... | [{"cell": "<b>Parameters</b>", "bbox": [5, 9, 40, 18]}, {"cell": "<b>Ultrasonography (%)</b>", "bbox": [136, 9, 199, 18]}, {"cell": "<b>Radiography (%)</b>", "bbox": [308, 9, 360, 18]}, {"cell": "[EMPTY_CELL]", "bbox": [440, 9, 478, 18]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": [117, 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 rowspan=\"2\"><b>Group</b></td><td colspan=\"4\"><b>Category of pregnancy-associated hospitalization</b></td></tr><tr><td><b>Miscarriage/abortion (n = 61)</b></td><td><b>Delivery (n = 321)</b></td><td><b>Postpartum (n = 100)</b></td><td><b>Antepartum (n = 75)</b></td></tr></thead><tbody>... | <table><thead><tr><td rowspan="2"><b>Group</b></td><td colspan="4"><b>Category of pregnancy-associated hospitalization</b></td></tr><tr><td><b>Miscarriage/abortion (n = 61)</b></td><td><b>Delivery (n = 321)</b></td><td><b>Postpartum (n = 100)</b></td><td><b>Antepartum (n = 75)</b></td></tr></thead><tbody><tr><td>Hemorr... | [{"cell": "<b>Group</b>", "bbox": [5, 12, 32, 22]}, {"cell": "<b>Category of pregnancy-associated hospitalization</b>", "bbox": [231, 5, 422, 15]}, {"cell": "<b>Miscarriage/abortion (n = 61)</b>", "bbox": [134, 19, 250, 29]}, {"cell": "<b>Delivery (n = 321)</b>", "bbox": [258, 19, 329, 29]}, {"cell": "<b>Postpartum (n ... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Patient groups</b></td><td><b>PD-N(<i>n</i> = 51)</b></td><td><b>PD-MCI(<i>n</i> = 30)</b></td><td><b>PD-D(<i>n</i> = 15)</b></td><td><b>Analysis (<i>F</i><sub><i>2,93</i></sub>)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>26.64 ± 2.16</td><td>[EMPTY_CELL]</td><td>21.33 ±... | <table><thead><tr><td><b>Patient groups</b></td><td><b>PD-N(<i>n</i> = 51)</b></td><td><b>PD-MCI(<i>n</i> = 30)</b></td><td><b>PD-D(<i>n</i> = 15)</b></td><td><b>Analysis (<i>F</i><sub><i>2,93</i></sub>)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>26.64 ± 2.16</td><td>[EMPTY_CELL]</td><td>21.33 ± 2.32</td>... | [{"cell": "<b>Patient groups</b>", "bbox": [1, 4, 49, 13]}, {"cell": "<b>PD-N(<i>n</i> = 51)</b>", "bbox": [155, 4, 199, 13]}, {"cell": "<b>PD-MCI(<i>n</i> = 30)</b>", "bbox": [243, 4, 294, 13]}, {"cell": "<b>PD-D(<i>n</i> = 15)</b>", "bbox": [337, 4, 381, 13]}, {"cell": "<b>Analysis (<i>F</i><sub><i>2,93</i></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 rowspan=\"3\"><b>Record</b></td><td colspan=\"2\"><b>MIT/BIH</b></td><td colspan=\"2\"><b>Pattern Matching Algorithm</b></td><td rowspan=\"3\"><b>R-Peak Detection Accuracy (%)</b></td><td rowspan=\"3\"><b>Abnormal Detection Accuracy (%)</b></td></tr><tr><td><b>Total Beat</b></td><td><b>A... | <table><thead><tr><td rowspan="3"><b>Record</b></td><td colspan="2"><b>MIT/BIH</b></td><td colspan="2"><b>Pattern Matching Algorithm</b></td><td rowspan="3"><b>R-Peak Detection Accuracy (%)</b></td><td rowspan="3"><b>Abnormal Detection Accuracy (%)</b></td></tr><tr><td><b>Total Beat</b></td><td><b>Arrhythmia</b></td><t... | [{"cell": "<b>Record</b>", "bbox": [13, 31, 49, 46]}, {"cell": "<b>MIT/BIH</b>", "bbox": [95, 14, 142, 28]}, {"cell": "<b>Pattern Matching Algorithm</b>", "bbox": [188, 5, 273, 37]}, {"cell": "<b>R-Peak Detection Accuracy (%)</b>", "bbox": [298, 6, 344, 71]}, {"cell": "<b>Abnormal Detection Accuracy (%)</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>Variables</b></td><td><b>Univariate HR (95%CI)</b></td><td><b>Univariate <i>P</i> value</b></td><td><b>Multivariate HR (95%CI)</b></td><td><b>Multivariate <i>P</i> value</b></td></tr></thead><tbody><tr><td>Age at surgery (years)</td><td>0.994 (0.937–1.054)</td><td>0.838</td><td>–</td>... | <table><thead><tr><td><b>Variables</b></td><td><b>Univariate HR (95%CI)</b></td><td><b>Univariate <i>P</i> value</b></td><td><b>Multivariate HR (95%CI)</b></td><td><b>Multivariate <i>P</i> value</b></td></tr></thead><tbody><tr><td>Age at surgery (years)</td><td>0.994 (0.937–1.054)</td><td>0.838</td><td>–</td><td>NA*</t... | [{"cell": "<b>Variables</b>", "bbox": [53, 3, 87, 12]}, {"cell": "<b>Univariate HR (95%CI)</b>", "bbox": [143, 3, 228, 12]}, {"cell": "<b>Univariate <i>P</i> value</b>", "bbox": [240, 3, 305, 12]}, {"cell": "<b>Multivariate HR (95%CI)</b>", "bbox": [318, 3, 409, 12]}, {"cell": "<b>Multivariate <i>P</i> value</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>[EMPTY_CELL]</td><td><b>SOD</b></td><td><b><i>CAT</i></b></td><td><b><i>GPx</i></b></td><td><b><i>CD</i></b></td><td><b><i>MDA</i></b></td><td><b><i>AST</i></b></td><td><b><i>ALT</i></b></td><td><b><i>PAL</i></b></td><td><b><i>LDH</i></b></td></tr></thead><tbody><tr><td><b><i>trans MUFA<... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>SOD</b></td><td><b><i>CAT</i></b></td><td><b><i>GPx</i></b></td><td><b><i>CD</i></b></td><td><b><i>MDA</i></b></td><td><b><i>AST</i></b></td><td><b><i>ALT</i></b></td><td><b><i>PAL</i></b></td><td><b><i>LDH</i></b></td></tr></thead><tbody><tr><td><b><i>trans MUFA</i></b></t... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>SOD</b>", "bbox": [68, 4, 85, 12]}, {"cell": "<b><i>CAT</i></b>", "bbox": [115, 4, 130, 12]}, {"cell": "<b><i>GPx</i></b>", "bbox": [165, 4, 180, 12]}, {"cell": "<b><i>CD</i></b>", "bbox": [212, 4, 224, 12]}, {"cell": "<b><i>MDA</i></b>", "bbox": [262, 4, 281, 12]}, {... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in 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>β-lactamase genes</b></td><td rowspan=\"2\"><b>Replicon type</b></td><td colspan=\"4\"><b>Transconjugants</b></td><td>[EMPTY_CELL]</td><td colspan=\"2\"><b>Electroporants</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b><i>E. coli</i></b></td><td><b><i>K. pneumoniae</i></b><... | <table><thead><tr><td rowspan="2"><b>β-lactamase genes</b></td><td rowspan="2"><b>Replicon type</b></td><td colspan="4"><b>Transconjugants</b></td><td>[EMPTY_CELL]</td><td colspan="2"><b>Electroporants</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b><i>E. coli</i></b></td><td><b><i>K. pneumoniae</i></b></td><td><b><i>K. o... | [{"cell": "<b>β-lactamase genes</b>", "bbox": [1, 4, 67, 13]}, {"cell": "<b>Replicon type</b>", "bbox": [95, 4, 145, 13]}, {"cell": "<b>Transconjugants</b>", "bbox": [212, 4, 271, 13]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Electroporants</b>", "bbox": [385, 4, 437, 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>[EMPTY_CELL]</td><td><b>Maternal death (42 days)</b></td><td><b>Mother survived</b></td></tr></thead><tbody><tr><td>n</td><td>[EMPTY_CELL]</td><td>4719</td></tr><tr><td colspan=\"3\"><b>Mother’s age at most recent childbirth (years)</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]<... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>Maternal death (42 days)</b></td><td><b>Mother survived</b></td></tr></thead><tbody><tr><td>n</td><td>[EMPTY_CELL]</td><td>4719</td></tr><tr><td colspan="3"><b>Mother’s age at most recent childbirth (years)</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>254 ... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Maternal death (42 days)</b>", "bbox": [71, 4, 160, 13]}, {"cell": "<b>Mother survived</b>", "bbox": [173, 4, 232, 13]}, {"cell": "n", "bbox": [29, 17, 35, 27]}, {"cell": "[EMPTY_CELL]", "bbox": [111, 17, 121, 27]}, {"cell": "4719", "bbox": [194, 17, 211, 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>Host Bacterial Strain</b></td><td><b>Number of Reads</b></td></tr></thead><tbody><tr><td><i>Escherichia coli</i> ATCC 25922</td><td>358,914</td></tr><tr><td><i>Enterococcus faecalis</i> ATCC 29212</td><td>134,966</td></tr><tr><td><i>Pseudomonasaeruginosa</i> 0407431-2</td><td>184,790<... | <table><thead><tr><td><b>Host Bacterial Strain</b></td><td><b>Number of Reads</b></td></tr></thead><tbody><tr><td><i>Escherichia coli</i> ATCC 25922</td><td>358,914</td></tr><tr><td><i>Enterococcus faecalis</i> ATCC 29212</td><td>134,966</td></tr><tr><td><i>Pseudomonasaeruginosa</i> 0407431-2</td><td>184,790</td></tr><... | [{"cell": "<b>Host Bacterial Strain</b>", "bbox": [51, 5, 137, 14]}, {"cell": "<b>Number of Reads</b>", "bbox": [217, 5, 291, 14]}, {"cell": "<i>Escherichia coli</i> ATCC 25922", "bbox": [39, 21, 149, 32]}, {"cell": "358,914", "bbox": [238, 21, 270, 32]}, {"cell": "<i>Enterococcus faecalis</i> ATCC 29212", "bbox": [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><b>Gene</b></td><td><b>GenBankAccession</b></td><td><b>Sequence (5' to 3')</b></td><td><b>Region(Exon)</b></td><td><b>Ampliconsize (bp)</b></td><td><b>Annealingtemp (°C)</b></td><td><b>Identified SNPs</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>FW: CTGGA... | <table><thead><tr><td><b>Gene</b></td><td><b>GenBankAccession</b></td><td><b>Sequence (5' to 3')</b></td><td><b>Region(Exon)</b></td><td><b>Ampliconsize (bp)</b></td><td><b>Annealingtemp (°C)</b></td><td><b>Identified SNPs</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>FW: CTGGACTCAGAGGGT... | [{"cell": "<b>Gene</b>", "bbox": [9, 4, 29, 14]}, {"cell": "<b>GenBankAccession</b>", "bbox": [39, 4, 74, 23]}, {"cell": "<b>Sequence (5' to 3')</b>", "bbox": [93, 4, 157, 14]}, {"cell": "<b>Region(Exon)</b>", "bbox": [285, 4, 310, 23]}, {"cell": "<b>Ampliconsize (bp)</b>", "bbox": [320, 4, 354, 23]}, {"cell": "<b>Anne... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in 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>Treatment</b></td><td><b>Hepatic glycogen content (mg/g)</b></td><td><b>G6Pase activity (mU)</b></td><td><b>GK activity (mU)</b></td></tr></thead><tbody><tr><td>Diabetic control</td><td>16.03 ± 0.12</td><td>0.71 ± 0.06</td><td>1.06 ± 0.08</td></tr><tr><td>Rosiglitazone</td><td>10.64 ±... | <table><thead><tr><td><b>Treatment</b></td><td><b>Hepatic glycogen content (mg/g)</b></td><td><b>G6Pase activity (mU)</b></td><td><b>GK activity (mU)</b></td></tr></thead><tbody><tr><td>Diabetic control</td><td>16.03 ± 0.12</td><td>0.71 ± 0.06</td><td>1.06 ± 0.08</td></tr><tr><td>Rosiglitazone</td><td>10.64 ± 1.13**</t... | [{"cell": "<b>Treatment</b>", "bbox": [2, 4, 41, 15]}, {"cell": "<b>Hepatic glycogen content (mg/g)</b>", "bbox": [166, 4, 285, 15]}, {"cell": "<b>G6Pase activity (mU)</b>", "bbox": [332, 4, 411, 15]}, {"cell": "<b>GK activity (mU)</b>", "bbox": [430, 4, 495, 15]}, {"cell": "Diabetic control", "bbox": [2, 18, 63, 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><b>Department</b></td><td><b>Responsibility</b></td></tr></thead><tbody><tr><td>Judge/Ruling Group</td><td>Setting emergency events, evaluation</td></tr><tr><td>Emergency Center</td><td>Plan initiation, monitoring, reporting, evacuation commanding</td></tr><tr><td>Bureau of Meteorology</... | <table><thead><tr><td><b>Department</b></td><td><b>Responsibility</b></td></tr></thead><tbody><tr><td>Judge/Ruling Group</td><td>Setting emergency events, evaluation</td></tr><tr><td>Emergency Center</td><td>Plan initiation, monitoring, reporting, evacuation commanding</td></tr><tr><td>Bureau of Meteorology</td><td>War... | [{"cell": "<b>Department</b>", "bbox": [53, 5, 99, 14]}, {"cell": "<b>Responsibility</b>", "bbox": [269, 5, 325, 14]}, {"cell": "Judge/Ruling Group", "bbox": [38, 19, 114, 29]}, {"cell": "Setting emergency events, evaluation", "bbox": [231, 19, 364, 29]}, {"cell": "Emergency Center", "bbox": [42, 28, 110, 38]}, {"cell"... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Model parameter</b></td><td><b>Default value</b></td></tr></thead><tbody><tr><td colspan=\"2\">Vaginal examinations (conducted by a midwife)</td></tr><tr><td> Duration of examination (minutes)</td><td>[EMPTY_CELL]</td></tr><tr><td> Frequency of examinations</td><td>[EMPTY_CELL]</td></... | <table><thead><tr><td><b>Model parameter</b></td><td><b>Default value</b></td></tr></thead><tbody><tr><td colspan="2">Vaginal examinations (conducted by a midwife)</td></tr><tr><td> Duration of examination (minutes)</td><td>[EMPTY_CELL]</td></tr><tr><td> Frequency of examinations</td><td>[EMPTY_CELL]</td></tr><tr><td>P... | [{"cell": "<b>Model parameter</b>", "bbox": [1, 4, 58, 13]}, {"cell": "<b>Default value</b>", "bbox": [192, 4, 236, 13]}, {"cell": "Vaginal examinations (conducted by a midwife)", "bbox": [1, 17, 156, 27]}, {"cell": " Duration of examination (minutes)", "bbox": [8, 31, 121, 41]}, {"cell": "[EMPTY_CELL]", "bbox": [192, ... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in 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>All participants (n = 33)</b></td><td><b>Ice hockey players (n = 16)</b></td><td><b>Soccer players (n = 17)</b></td></tr></thead><tbody><tr><td>Fat free mass from DXA (kg)</td><td>[EMPTY_CELL]</td><td>75.4 (3.4)</td><td>72.4 (6.2)</td></tr><tr><td>Fat free mass fr... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>All participants (n = 33)</b></td><td><b>Ice hockey players (n = 16)</b></td><td><b>Soccer players (n = 17)</b></td></tr></thead><tbody><tr><td>Fat free mass from DXA (kg)</td><td>[EMPTY_CELL]</td><td>75.4 (3.4)</td><td>72.4 (6.2)</td></tr><tr><td>Fat free mass from BIS (kg... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>All participants (n = 33)</b>", "bbox": [184, 4, 265, 14]}, {"cell": "<b>Ice hockey players (n = 16)</b>", "bbox": [291, 4, 384, 14]}, {"cell": "<b>Soccer players (n = 17)</b>", "bbox": [409, 4, 489, 14]}, {"cell": "Fat free mass from DXA (kg)", "bbox": [4, 27, 104, 3... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Syllables approximated per stimulus</b></td><td><b>Syllables correct per stimulus</b></td><td><b>Consonants correct per stimulus</b></td><td><b>Vowels correct per stimulus</b></td></tr></thead><tbody><tr><td>AMMT-V</td><td>1.97</td><td>1.25</td><td>2.75</td><td>1.... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>Syllables approximated per stimulus</b></td><td><b>Syllables correct per stimulus</b></td><td><b>Consonants correct per stimulus</b></td><td><b>Vowels correct per stimulus</b></td></tr></thead><tbody><tr><td>AMMT-V</td><td>1.97</td><td>1.25</td><td>2.75</td><td>1.56</td></t... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Syllables approximated per stimulus</b>", "bbox": [104, 6, 152, 33]}, {"cell": "<b>Syllables correct per stimulus</b>", "bbox": [203, 6, 277, 23]}, {"cell": "<b>Consonants correct per stimulus</b>", "bbox": [315, 6, 401, 23]}, {"cell": "<b>Vowels correct per stimulus<... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Non-member</b></td><td><b>ERP member</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>N (%)</b></td><td><b>N (%)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>4009 (76.92%)<... | <table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Non-member</b></td><td><b>ERP member</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>N (%)</b></td><td><b>N (%)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>4009 (76.92%)</td></tr><... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Non-member</b>", "bbox": [127, 4, 172, 13]}, {"cell": "<b>ERP member</b>", "bbox": [190, 4, 233, 13]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>N (%)</b>", "bbox": [127, 17, 147, 26]... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td rowspan=\"2\">[EMPTY_CELL]</td><td colspan=\"2\"><b>Quantity</b></td><td colspan=\"2\"><b>Variety</b></td><td colspan=\"2\"><b>Combined Quantity and Variety</b></td></tr><tr><td><b>β</b></td><td><b><i>p</i></b></td><td><b>β</b></td><td><b><i>p</i></b></td><td><b>β</b></td><td><b><i>p</i>... | <table><thead><tr><td rowspan="2">[EMPTY_CELL]</td><td colspan="2"><b>Quantity</b></td><td colspan="2"><b>Variety</b></td><td colspan="2"><b>Combined Quantity and Variety</b></td></tr><tr><td><b>β</b></td><td><b><i>p</i></b></td><td><b>β</b></td><td><b><i>p</i></b></td><td><b>β</b></td><td><b><i>p</i></b></td></tr></th... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Quantity</b>", "bbox": [130, 5, 167, 15]}, {"cell": "<b>Variety</b>", "bbox": [213, 5, 243, 15]}, {"cell": "<b>Combined Quantity and Variety</b>", "bbox": [272, 5, 398, 15]}, {"cell": "<b>β</b>", "bbox": [125, 20, 133, 29]}, {"cell": "<b><i>p</i></b>", "bbox": [165, 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>S. No</b></td><td><b>Gene ID and annotation*</b></td><td><b>SNP position</b></td><td><b>W82 (Ref. genome)</b></td><td><b>V71-370</b></td><td><b>PI407162</b></td><td><b>AA change</b></td></tr></thead><tbody><tr><td>1</td><td><i>Glyma07g09860</i><sup><i>+</i></sup> Triglyceride lipase-c... | <table><thead><tr><td><b>S. No</b></td><td><b>Gene ID and annotation*</b></td><td><b>SNP position</b></td><td><b>W82 (Ref. genome)</b></td><td><b>V71-370</b></td><td><b>PI407162</b></td><td><b>AA change</b></td></tr></thead><tbody><tr><td>1</td><td><i>Glyma07g09860</i><sup><i>+</i></sup> Triglyceride lipase-cholesterol... | [{"cell": "<b>S. No</b>", "bbox": [1, 4, 21, 13]}, {"cell": "<b>Gene ID and annotation*</b>", "bbox": [27, 4, 115, 13]}, {"cell": "<b>SNP position</b>", "bbox": [212, 4, 258, 13]}, {"cell": "<b>W82 (Ref. genome)</b>", "bbox": [264, 4, 315, 22]}, {"cell": "<b>V71-370</b>", "bbox": [321, 4, 351, 13]}, {"cell": "<b>PI4071... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\"2\"><b>Formerly overweight</b></td><td colspan=\"2\"><b>Never overweight</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td><b>EA</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>AA</b></td><td><b>Main effects*</b></td></t... | <table><thead><tr><td>[EMPTY_CELL]</td><td colspan="2"><b>Formerly overweight</b></td><td colspan="2"><b>Never overweight</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td><b>EA</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>AA</b></td><td><b>Main effects*</b></td></tr><tr><td>Age ... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Formerly overweight</b>", "bbox": [139, 4, 213, 13]}, {"cell": "<b>Never overweight</b>", "bbox": [301, 4, 364, 13]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>EA</b>", "bbox": [132, 17, 143, 27]}, {"cell": "[EMPTY_CELL]"... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Week 1</b></td><td><b>Week 2</b></td><td><b>Week 4</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>-0.71</td><td>-0.79</td></tr><tr><td>[EMPT... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>Week 1</b></td><td><b>Week 2</b></td><td><b>Week 4</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>-0.71</td><td>-0.79</td></tr><tr><td>[EMPTY_CELL]</t... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Week 1</b>", "bbox": [316, 3, 344, 13]}, {"cell": "<b>Week 2</b>", "bbox": [378, 3, 405, 13]}, {"cell": "<b>Week 4</b>", "bbox": [439, 3, 467, 13]}, {"cell": "[EMPTY_CELL]", "bbox": [11, 29, 134, 39]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bb... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td rowspan=\"2\"><b>Parameters</b></td><td colspan=\"4\"><b>Number of groups</b></td><td colspan=\"4\"><b>Group size</b></td><td colspan=\"4\">[EMPTY_CELL]</td></tr><tr><td><b>30</b></td><td><b>100</b></td><td><b>120</b></td><td>[EMPTY_CELL]</td><td><b>5</b></td><td><b>30</b></td><td><b>50<... | <table><thead><tr><td rowspan="2"><b>Parameters</b></td><td colspan="4"><b>Number of groups</b></td><td colspan="4"><b>Group size</b></td><td colspan="4">[EMPTY_CELL]</td></tr><tr><td><b>30</b></td><td><b>100</b></td><td><b>120</b></td><td>[EMPTY_CELL]</td><td><b>5</b></td><td><b>30</b></td><td><b>50</b></td><td><b><i>... | [{"cell": "<b>Parameters</b>", "bbox": [2, 9, 45, 20]}, {"cell": "<b>Number of groups</b>", "bbox": [91, 4, 159, 15]}, {"cell": "<b>Group size</b>", "bbox": [257, 4, 297, 15]}, {"cell": "[EMPTY_CELL]", "bbox": [421, 4, 438, 15]}, {"cell": "<b>30</b>", "bbox": [61, 16, 72, 27]}, {"cell": "<b>100</b>", "bbox": [96, 16, 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>Branch-lengths-from-reconstruction*</b></td><td colspan=\"10\"><b>Tree-branch-length</b></td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>0</b></td><td><b>.0001 – .006</b></td><td><b>.0061 – .020</b></td><td><b>.0201 – .040</b></t... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>Branch-lengths-from-reconstruction*</b></td><td colspan="10"><b>Tree-branch-length</b></td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>0</b></td><td><b>.0001 – .006</b></td><td><b>.0061 – .020</b></td><td><b>.0201 – .040</b></td><td><b>.04... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Branch-lengths-from-reconstruction*</b>", "bbox": [23, 4, 70, 27]}, {"cell": "<b>Tree-branch-length</b>", "bbox": [245, 4, 302, 13]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>0</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>Source</b></td><td><b>Study design</b></td><td><b>Study population </b></td><td><b>Findings </b></td></tr></thead><tbody><tr><td>Clausen et al. [32]</td><td>Cross-sectional study </td><td>[EMPTY_CELL]</td><td><i>M. genitalium</i> was detected in 22% of women with tubal factor infertil... | <table><thead><tr><td><b>Source</b></td><td><b>Study design</b></td><td><b>Study population </b></td><td><b>Findings </b></td></tr></thead><tbody><tr><td>Clausen et al. [32]</td><td>Cross-sectional study </td><td>[EMPTY_CELL]</td><td><i>M. genitalium</i> was detected in 22% of women with tubal factor infertility (TFI) ... | [{"cell": "<b>Source</b>", "bbox": [2, 4, 29, 15]}, {"cell": "<b>Study design</b>", "bbox": [117, 5, 165, 15]}, {"cell": "<b>Study population </b>", "bbox": [211, 5, 275, 15]}, {"cell": "<b>Findings </b>", "bbox": [347, 5, 381, 15]}, {"cell": "Clausen et al. [32]", "bbox": [2, 27, 69, 38]}, {"cell": "Cross-sectional st... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in 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>ID</b></td><td><b>Name</b></td><td><b>Operations</b></td><td><b>Mandatory</b></td><td><b>Type</b></td><td><b>Submitter</b></td><td><b>Description</b></td></tr></thead><tbody><tr><td>5702</td><td><i>X</i> Value</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Float</td><td>IPSO-Update... | <table><thead><tr><td><b>ID</b></td><td><b>Name</b></td><td><b>Operations</b></td><td><b>Mandatory</b></td><td><b>Type</b></td><td><b>Submitter</b></td><td><b>Description</b></td></tr></thead><tbody><tr><td>5702</td><td><i>X</i> Value</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Float</td><td>IPSO-Updated</td><td>... | [{"cell": "<b>ID</b>", "bbox": [7, 4, 17, 12]}, {"cell": "<b>Name</b>", "bbox": [27, 4, 46, 12]}, {"cell": "<b>Operations</b>", "bbox": [117, 4, 152, 12]}, {"cell": "<b>Mandatory</b>", "bbox": [159, 4, 194, 12]}, {"cell": "<b>Type</b>", "bbox": [205, 4, 222, 12]}, {"cell": "<b>Submitter</b>", "bbox": [239, 4, 271, 12]}... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in 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>MIGS ID</b></td><td><b>Property</b></td><td><b>Term</b></td><td><b>Evidence code</b></td></tr></thead><tbody><tr><td rowspan=\"8\">[EMPTY_CELL]</td><td rowspan=\"8\">[EMPTY_CELL]</td><td>Domain <i>Bacteria</i></td><td>TAS [10]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></t... | <table><thead><tr><td><b>MIGS ID</b></td><td><b>Property</b></td><td><b>Term</b></td><td><b>Evidence code</b></td></tr></thead><tbody><tr><td rowspan="8">[EMPTY_CELL]</td><td rowspan="8">[EMPTY_CELL]</td><td>Domain <i>Bacteria</i></td><td>TAS [10]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMP... | [{"cell": "<b>MIGS ID</b>", "bbox": [6, 3, 47, 15]}, {"cell": "<b>Property</b>", "bbox": [64, 3, 103, 15]}, {"cell": "<b>Term</b>", "bbox": [181, 3, 205, 15]}, {"cell": "<b>Evidence code</b>", "bbox": [316, 3, 381, 15]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": [64, 88, 157, 100]}, {"cell"... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Baseline</b></td><td><b>Post nVNS</b></td><td><b><i>P-</i>value</b></td></tr></thead><tbody><tr><td>PSQI global score</td><td>7 (5.5, 11.5)</td><td>5 (5, 8.5)</td><td><0.001</td></tr><tr><td>PSQI subscores</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPT... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>Baseline</b></td><td><b>Post nVNS</b></td><td><b><i>P-</i>value</b></td></tr></thead><tbody><tr><td>PSQI global score</td><td>7 (5.5, 11.5)</td><td>5 (5, 8.5)</td><td><0.001</td></tr><tr><td>PSQI subscores</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</t... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Baseline</b>", "bbox": [98, 4, 126, 13]}, {"cell": "<b>Post nVNS</b>", "bbox": [156, 4, 191, 13]}, {"cell": "<b><i>P-</i>value</b>", "bbox": [212, 4, 236, 13]}, {"cell": "PSQI global score", "bbox": [0, 17, 58, 27]}, {"cell": "7 (5.5, 11.5)", "bbox": [98, 17, 136, 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=\"3\" rowspan=\"2\"><b>Experimental materials</b></td><td colspan=\"2\">[EMPTY_CELL]</td><td colspan=\"3\"><b>Ratio of TA 100</b></td></tr><tr><td><b>S9+</b></td><td>[EMPTY_CELL]</td><td><b>S9+</b></td><td><b>S9-</b></td></tr></thead><tbody><tr><td rowspan=\"4\"><b>MTA</b></td><t... | <table><thead><tr><td colspan="3" rowspan="2"><b>Experimental materials</b></td><td colspan="2">[EMPTY_CELL]</td><td colspan="3"><b>Ratio of TA 100</b></td></tr><tr><td><b>S9+</b></td><td>[EMPTY_CELL]</td><td><b>S9+</b></td><td><b>S9-</b></td></tr></thead><tbody><tr><td rowspan="4"><b>MTA</b></td><td><b>0.1</b></td><td... | [{"cell": "<b>Experimental materials</b>", "bbox": [6, 4, 99, 14]}, {"cell": "[EMPTY_CELL]", "bbox": [137, 4, 232, 14]}, {"cell": "<b>Ratio of TA 100</b>", "bbox": [244, 4, 307, 14]}, {"cell": "<b>S9+</b>", "bbox": [137, 18, 153, 28]}, {"cell": "[EMPTY_CELL]", "bbox": [190, 18, 205, 28]}, {"cell": "<b>S9+</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>Regulation type</b></td><td><b>Validation source</b></td><td><b>Engineering method</b></td><td><b>Total items</b></td><td><b>Items validated</b></td><td><b>Validation fraction</b></td><td><b>Significance of validation fraction increase (binomial test p-value)</b></td></tr></thead><tbo... | <table><thead><tr><td><b>Regulation type</b></td><td><b>Validation source</b></td><td><b>Engineering method</b></td><td><b>Total items</b></td><td><b>Items validated</b></td><td><b>Validation fraction</b></td><td><b>Significance of validation fraction increase (binomial test p-value)</b></td></tr></thead><tbody><tr><td... | [{"cell": "<b>Regulation type</b>", "bbox": [1, 4, 58, 13]}, {"cell": "<b>Validation source</b>", "bbox": [64, 4, 127, 13]}, {"cell": "<b>Engineering method</b>", "bbox": [133, 4, 206, 13]}, {"cell": "<b>Total items</b>", "bbox": [213, 4, 254, 13]}, {"cell": "<b>Items validated</b>", "bbox": [260, 4, 316, 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 rowspan=\"2\"><b>Haplotype</b></td><td colspan=\"8\"><b>SNPs</b></td><td rowspan=\"2\"><b>Frequency</b></td></tr><tr><td><b>1</b></td><td><b>2</b></td><td><b>3</b></td><td><b>4</b></td><td><b>5</b></td><td><b>6</b></td><td><b>7</b></td><td><b>8</b></td></tr></thead><tbody><tr><td>Hap1</t... | <table><thead><tr><td rowspan="2"><b>Haplotype</b></td><td colspan="8"><b>SNPs</b></td><td rowspan="2"><b>Frequency</b></td></tr><tr><td><b>1</b></td><td><b>2</b></td><td><b>3</b></td><td><b>4</b></td><td><b>5</b></td><td><b>6</b></td><td><b>7</b></td><td><b>8</b></td></tr></thead><tbody><tr><td>Hap1</td><td>C</td><td>... | [{"cell": "<b>Haplotype</b>", "bbox": [10, 14, 61, 26]}, {"cell": "<b>SNPs</b>", "bbox": [235, 6, 262, 18]}, {"cell": "<b>Frequency</b>", "bbox": [435, 14, 487, 26]}, {"cell": "<b>1</b>", "bbox": [86, 22, 93, 33]}, {"cell": "<b>2</b>", "bbox": [128, 22, 136, 33]}, {"cell": "<b>3</b>", "bbox": [171, 22, 178, 33]}, {"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>Heavy Metals</b></td><td colspan=\"8\"><b>Stress Sensitive Spectral Bands</b></td></tr></thead><tbody><tr><td>Cd</td><td>960</td><td>1140</td><td>1700</td><td>1820</td><td>2250</td><td>2380</td><td>2450</td><td>2470</td></tr><tr><td>Cr</td><td>570</td><td>670</td><td>970</td><td>1020<... | <table><thead><tr><td><b>Heavy Metals</b></td><td colspan="8"><b>Stress Sensitive Spectral Bands</b></td></tr></thead><tbody><tr><td>Cd</td><td>960</td><td>1140</td><td>1700</td><td>1820</td><td>2250</td><td>2380</td><td>2450</td><td>2470</td></tr><tr><td>Cr</td><td>570</td><td>670</td><td>970</td><td>1020</td><td>1680... | [{"cell": "<b>Heavy Metals</b>", "bbox": [8, 5, 66, 16]}, {"cell": "<b>Stress Sensitive Spectral Bands</b>", "bbox": [143, 5, 272, 16]}, {"cell": "Cd", "bbox": [30, 21, 44, 30]}, {"cell": "960", "bbox": [78, 21, 94, 30]}, {"cell": "1140", "bbox": [107, 21, 127, 30]}, {"cell": "1700", "bbox": [142, 21, 162, 30]}, {"cell... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Year</b></td><td><b>First Author [Ref]</b></td><td><b>Bolinder In/Out</b></td><td><b>Major Findings (RR)</b></td></tr></thead><tbody><tr><td>1994</td><td>[EMPTY_CELL]</td><td>In</td><td>[EMPTY_CELL]</td></tr><tr><td>2005</td><td>[EMPTY_CELL]</td><td>In</td><td>[EMPTY_CELL]</td></tr><t... | <table><thead><tr><td><b>Year</b></td><td><b>First Author [Ref]</b></td><td><b>Bolinder In/Out</b></td><td><b>Major Findings (RR)</b></td></tr></thead><tbody><tr><td>1994</td><td>[EMPTY_CELL]</td><td>In</td><td>[EMPTY_CELL]</td></tr><tr><td>2005</td><td>[EMPTY_CELL]</td><td>In</td><td>[EMPTY_CELL]</td></tr><tr><td>2007... | [{"cell": "<b>Year</b>", "bbox": [1, 4, 18, 13]}, {"cell": "<b>First Author [Ref]</b>", "bbox": [62, 4, 124, 13]}, {"cell": "<b>Bolinder In/Out</b>", "bbox": [168, 4, 224, 13]}, {"cell": "<b>Major Findings (RR)</b>", "bbox": [268, 4, 338, 13]}, {"cell": "1994", "bbox": [1, 17, 18, 27]}, {"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>Parameters</b></td><td><b>UC (<i>N</i> = 53)</b></td><td><b>CD (<i>N</i> = 44)</b></td><td><b><i>p</i> value</b></td></tr></thead><tbody><tr><td>Body mass index (kg/m<sup>2</sup>), mean ± SD</td><td>21.1 ± 4.2</td><td>20.5 ± 3.7</td><td>0.51</td></tr><tr><td>Fat percentage, mean ± SD<... | <table><thead><tr><td><b>Parameters</b></td><td><b>UC (<i>N</i> = 53)</b></td><td><b>CD (<i>N</i> = 44)</b></td><td><b><i>p</i> value</b></td></tr></thead><tbody><tr><td>Body mass index (kg/m<sup>2</sup>), mean ± SD</td><td>21.1 ± 4.2</td><td>20.5 ± 3.7</td><td>0.51</td></tr><tr><td>Fat percentage, mean ± SD</td><td>14... | [{"cell": "<b>Parameters</b>", "bbox": [2, 5, 45, 15]}, {"cell": "<b>UC (<i>N</i> = 53)</b>", "bbox": [91, 1, 141, 16]}, {"cell": "<b>CD (<i>N</i> = 44)</b>", "bbox": [152, 1, 201, 16]}, {"cell": "<b><i>p</i> value</b>", "bbox": [212, 1, 241, 16]}, {"cell": "Body mass index (kg/m<sup>2</sup>), mean ± SD", "bbox": [2, 1... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Variable</b></td><td><b>Risk 1 category</b></td><td><b>Risk 2 category</b></td><td><b>Risk 3 category</b></td></tr></thead><tbody><tr><td>Age, years</td><td><60, and</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Kidney function</td><td>Normal (MDRD ˃90), and</td><td>[E... | <table><thead><tr><td><b>Variable</b></td><td><b>Risk 1 category</b></td><td><b>Risk 2 category</b></td><td><b>Risk 3 category</b></td></tr></thead><tbody><tr><td>Age, years</td><td><60, and</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Kidney function</td><td>Normal (MDRD ˃90), and</td><td>[EMPTY_CELL]... | [{"cell": "<b>Variable</b>", "bbox": [1, 4, 27, 13]}, {"cell": "<b>Risk 1 category</b>", "bbox": [88, 4, 138, 13]}, {"cell": "<b>Risk 2 category</b>", "bbox": [204, 4, 254, 13]}, {"cell": "<b>Risk 3 category</b>", "bbox": [376, 4, 426, 13]}, {"cell": "Age, years", "bbox": [1, 17, 35, 27]}, {"cell": "<60, and", "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>Location</b></td><td><b>Sequence variation</b></td><td><b>SNP ID</b></td><td><b>Amino acid variation</b></td><td><b>Mutation sequence</b></td><td><b>Frequency (%) in smoker and never smoker</b></td></tr></thead><tbody><tr><td>exon27</td><td>c.5094C>T</td><td>rs10521</td><td>p.Asp16... | <table><thead><tr><td><b>Location</b></td><td><b>Sequence variation</b></td><td><b>SNP ID</b></td><td><b>Amino acid variation</b></td><td><b>Mutation sequence</b></td><td><b>Frequency (%) in smoker and never smoker</b></td></tr></thead><tbody><tr><td>exon27</td><td>c.5094C>T</td><td>rs10521</td><td>p.Asp1698=</td><t... | [{"cell": "<b>Location</b>", "bbox": [4, 6, 43, 16]}, {"cell": "<b>Sequence variation</b>", "bbox": [71, 6, 113, 28]}, {"cell": "<b>SNP ID</b>", "bbox": [158, 6, 192, 16]}, {"cell": "<b>Amino acid variation</b>", "bbox": [232, 6, 283, 28]}, {"cell": "<b>Mutation sequence</b>", "bbox": [314, 6, 397, 16]}, {"cell": "<b>F... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in 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></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>International policy needs to be developed to provide allergy information in catering services provided by transport e.g. planes and trains. This policy should cover the use of the 14 main allergens as ingred... | <table><thead><tr><td colspan="2">[EMPTY_CELL]</td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>International policy needs to be developed to provide allergy information in catering services provided by transport e.g. planes and trains. This policy should cover the use of the 14 main allergens as ingredients <b>and... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": [1, 4, 8, 13]}, {"cell": "International policy needs to be developed to provide allergy information in catering services provided by transport e.g. planes and trains. This policy should cover the use of the 14 main allergens as ingredients <b>and</... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in 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 characteristics</b></td><td><b>Pre-intervention (<i>N</i> = 237)</b></td><td><b>Post-intervention (<i>N</i> = 147)</b></td><td><b><i>P</i>-value</b></td></tr></thead><tbody><tr><td colspan=\"3\">Gender</td><td>0.211</td></tr><tr><td> Male</td><td>138 (58.2 %)</td><td>76 (51.7 ... | <table><thead><tr><td><b>Patient characteristics</b></td><td><b>Pre-intervention (<i>N</i> = 237)</b></td><td><b>Post-intervention (<i>N</i> = 147)</b></td><td><b><i>P</i>-value</b></td></tr></thead><tbody><tr><td colspan="3">Gender</td><td>0.211</td></tr><tr><td> Male</td><td>138 (58.2 %)</td><td>76 (51.7 %)</td><td>[... | [{"cell": "<b>Patient characteristics</b>", "bbox": [1, 4, 71, 13]}, {"cell": "<b>Pre-intervention (<i>N</i> = 237)</b>", "bbox": [142, 4, 226, 13]}, {"cell": "<b>Post-intervention (<i>N</i> = 147)</b>", "bbox": [297, 4, 384, 13]}, {"cell": "<b><i>P</i>-value</b>", "bbox": [455, 4, 480, 13]}, {"cell": "Gender", "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>Metal</b></td><td><b><i>Δ</i>(M–O)</b></td><td><b><i>Δ</i>(M–Cent)</b></td><td><b><i>Δ</i>(M out of plane)<sup><i>a</i></sup></b></td><td><b><i>Δ</i>(largest C6 torsion angle)</b></td></tr></thead><tbody><tr><td><b>U</b></td><td>0.068</td><td>–0.170</td><td>0.193</td><td>[EMPTY_CELL]<... | <table><thead><tr><td><b>Metal</b></td><td><b><i>Δ</i>(M–O)</b></td><td><b><i>Δ</i>(M–Cent)</b></td><td><b><i>Δ</i>(M out of plane)<sup><i>a</i></sup></b></td><td><b><i>Δ</i>(largest C6 torsion angle)</b></td></tr></thead><tbody><tr><td><b>U</b></td><td>0.068</td><td>–0.170</td><td>0.193</td><td>[EMPTY_CELL]</td></tr><... | [{"cell": "<b>Metal</b>", "bbox": [1, 17, 22, 27]}, {"cell": "<b><i>Δ</i>(M–O)</b>", "bbox": [37, 17, 66, 27]}, {"cell": "<b><i>Δ</i>(M–Cent)</b>", "bbox": [80, 17, 120, 27]}, {"cell": "<b><i>Δ</i>(M out of plane)<sup><i>a</i></sup></b>", "bbox": [134, 7, 175, 27]}, {"cell": "<b><i>Δ</i>(largest C6 torsion angle)</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>Group and age of patients</b></td><td colspan=\"3\"><b>Microbiota identified in oral cavities</b></td></tr><tr><td><b>Protista</b></td><td><b>Fungi</b></td><td><b>Bacteria</b></td></tr></thead><tbody><tr><td>I41–50</td><td><i>Trichomonas. tenax</i> <i>Entamoeba. gingival... | <table><thead><tr><td rowspan="2"><b>Group and age of patients</b></td><td colspan="3"><b>Microbiota identified in oral cavities</b></td></tr><tr><td><b>Protista</b></td><td><b>Fungi</b></td><td><b>Bacteria</b></td></tr></thead><tbody><tr><td>I41–50</td><td><i>Trichomonas. tenax</i> <i>Entamoeba. gingivalis</i></td><td... | [{"cell": "<b>Group and age of patients</b>", "bbox": [2, 10, 97, 20]}, {"cell": "<b>Microbiota identified in oral cavities</b>", "bbox": [243, 4, 375, 15]}, {"cell": "<b>Protista</b>", "bbox": [168, 18, 198, 28]}, {"cell": "<b>Fungi</b>", "bbox": [300, 18, 323, 28]}, {"cell": "<b>Bacteria</b>", "bbox": [424, 18, 456, ... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Protein</b></td><td><b>Calculated molecular mass</b></td><td><b><i>N</i>-Linked glycosylation sites</b></td><td><b>Peak elution volume</b></td><td><b>Experimental mass of glycoprotein<i><sup>a</sup></i></b></td><td><b>Experimental mass of polypeptide fraction<i><sup>b</sup></i></b></t... | <table><thead><tr><td><b>Protein</b></td><td><b>Calculated molecular mass</b></td><td><b><i>N</i>-Linked glycosylation sites</b></td><td><b>Peak elution volume</b></td><td><b>Experimental mass of glycoprotein<i><sup>a</sup></i></b></td><td><b>Experimental mass of polypeptide fraction<i><sup>b</sup></i></b></td></tr></t... | [{"cell": "<b>Protein</b>", "bbox": [37, 11, 64, 20]}, {"cell": "<b>Calculated molecular mass</b>", "bbox": [106, 3, 159, 20]}, {"cell": "<b><i>N</i>-Linked glycosylation sites</b>", "bbox": [184, 3, 245, 20]}, {"cell": "<b>Peak elution volume</b>", "bbox": [270, 3, 313, 20]}, {"cell": "<b>Experimental mass of glycopro... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in 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>Bond</b></td><td colspan=\"2\"><b>Population (e)</b></td><td colspan=\"2\"><b>Length (Å)</b></td></tr><tr><td><b>Before Adsorption</b></td><td><b>After Adsorption</b></td><td><b>Before Adsorption</b></td><td><b>After Adsorption</b></td></tr></thead><tbody><tr><td>O1–Ni<... | <table><thead><tr><td rowspan="2"><b>Bond</b></td><td colspan="2"><b>Population (e)</b></td><td colspan="2"><b>Length (Å)</b></td></tr><tr><td><b>Before Adsorption</b></td><td><b>After Adsorption</b></td><td><b>Before Adsorption</b></td><td><b>After Adsorption</b></td></tr></thead><tbody><tr><td>O1–Ni</td><td>0.40</td... | [{"cell": "<b>Bond</b>", "bbox": [21, 10, 42, 22]}, {"cell": "<b>Population (e)</b>", "bbox": [123, 3, 176, 14]}, {"cell": "<b>Length (Å)</b>", "bbox": [306, 4, 347, 15]}, {"cell": "<b>Before Adsorption</b>", "bbox": [71, 17, 140, 28]}, {"cell": "<b>After Adsorption</b>", "bbox": [161, 17, 226, 28]}, {"cell": "<b>Befo... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td rowspan=\"2\">[EMPTY_CELL]</td><td><b>Idiopathic Uveitis</b></td><td><b>JIA Uveitis</b></td></tr><tr><td><b><i>N</i> = 92</b></td><td><b><i>N</i> = 646</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>2.8</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td... | <table><thead><tr><td rowspan="2">[EMPTY_CELL]</td><td><b>Idiopathic Uveitis</b></td><td><b>JIA Uveitis</b></td></tr><tr><td><b><i>N</i> = 92</b></td><td><b><i>N</i> = 646</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>2.8</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>(1.7-5.... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Idiopathic Uveitis</b>", "bbox": [105, 4, 162, 13]}, {"cell": "<b>JIA Uveitis</b>", "bbox": [199, 4, 233, 13]}, {"cell": "<b><i>N</i> = 92</b>", "bbox": [105, 17, 127, 27]}, {"cell": "<b><i>N</i> = 646</b>", "bbox": [199, 17, 225, 27]}, {"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> Genes</b></td><td><b>Orientation</b></td><td><b>Sequences (5′ to 3′)</b></td><td><b>Annealing</b></td><td><b>Size</b></td></tr></thead><tbody><tr><td rowspan=\"2\"> MCP-1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td rowspan=\"2\">62°C, 60 s</td><td rowspan=\"2\">432 bp</td></tr>... | <table><thead><tr><td><b> Genes</b></td><td><b>Orientation</b></td><td><b>Sequences (5′ to 3′)</b></td><td><b>Annealing</b></td><td><b>Size</b></td></tr></thead><tbody><tr><td rowspan="2"> MCP-1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td rowspan="2">62°C, 60 s</td><td rowspan="2">432 bp</td></tr><tr><td>Antisens... | [{"cell": "<b> Genes</b>", "bbox": [2, 7, 26, 18]}, {"cell": "<b>Orientation</b>", "bbox": [111, 7, 155, 18]}, {"cell": "<b>Sequences (5′ to 3′)</b>", "bbox": [203, 7, 276, 18]}, {"cell": "<b>Annealing</b>", "bbox": [365, 7, 403, 18]}, {"cell": "<b>Size</b>", "bbox": [457, 7, 473, 18]}, {"cell": " MCP-1", "bbox": [5, 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>Parameter</b></td><td><b>Input</b></td><td><b>Source</b></td></tr></thead><tbody><tr><td>Diarrhea morbidity rate in children under five, by country</td><td>Varies by country</td><td>DHS</td></tr><tr><td>Diarrhea mortality rate in children under five, by country</td><td>Varies by count... | <table><thead><tr><td><b>Parameter</b></td><td><b>Input</b></td><td><b>Source</b></td></tr></thead><tbody><tr><td>Diarrhea morbidity rate in children under five, by country</td><td>Varies by country</td><td>DHS</td></tr><tr><td>Diarrhea mortality rate in children under five, by country</td><td>Varies by country</td><td... | [{"cell": "<b>Parameter</b>", "bbox": [122, 4, 159, 13]}, {"cell": "<b>Input</b>", "bbox": [329, 4, 349, 13]}, {"cell": "<b>Source</b>", "bbox": [428, 4, 454, 13]}, {"cell": "Diarrhea morbidity rate in children under five, by country", "bbox": [47, 17, 234, 27]}, {"cell": "Varies by country", "bbox": [310, 17, 368, 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>DP MSD n= 1 774 (7%)</b></td><td><b>DP other n= 2 480 (10%)</b></td><td><b>No DP n= 20 290 (83%)</b></td></tr></thead><tbody><tr><td><b>Sex</b></td><td><b>n (%)</b></td><td><b>n (%)</b></td><td><b>n (%)</b></td></tr><tr><td>Men</td><td>655 (37)</td><td>1 045 (43)<... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>DP MSD n= 1 774 (7%)</b></td><td><b>DP other n= 2 480 (10%)</b></td><td><b>No DP n= 20 290 (83%)</b></td></tr></thead><tbody><tr><td><b>Sex</b></td><td><b>n (%)</b></td><td><b>n (%)</b></td><td><b>n (%)</b></td></tr><tr><td>Men</td><td>655 (37)</td><td>1 045 (43)</td><td>10... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>DP MSD n= 1 774 (7%)</b>", "bbox": [178, 4, 260, 13]}, {"cell": "<b>DP other n= 2 480 (10%)</b>", "bbox": [286, 4, 374, 13]}, {"cell": "<b>No DP n= 20 290 (83%)</b>", "bbox": [401, 4, 484, 13]}, {"cell": "<b>Sex</b>", "bbox": [1, 17, 15, 27]}, {"cell": "<b>n (%)</b>",... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Accession<sup>1</sup></b></td><td><b>Years in the trials</b></td><td><b>Variety</b></td><td><b>Country of origin</b></td><td><b>Year of collection</b></td><td><b>Growth habit</b></td><td><b>Donor centre<sup>2</sup></b></td></tr></thead><tbody><tr><td>MDR001</td><td>1</td><td><i>flaves... | <table><thead><tr><td><b>Accession<sup>1</sup></b></td><td><b>Years in the trials</b></td><td><b>Variety</b></td><td><b>Country of origin</b></td><td><b>Year of collection</b></td><td><b>Growth habit</b></td><td><b>Donor centre<sup>2</sup></b></td></tr></thead><tbody><tr><td>MDR001</td><td>1</td><td><i>flavescens</i></... | [{"cell": "<b>Accession<sup>1</sup></b>", "bbox": [1, 2, 40, 13]}, {"cell": "<b>Years in the trials</b>", "bbox": [49, 4, 112, 13]}, {"cell": "<b>Variety</b>", "bbox": [121, 4, 147, 13]}, {"cell": "<b>Country of origin</b>", "bbox": [233, 4, 295, 13]}, {"cell": "<b>Year of collection</b>", "bbox": [304, 4, 367, 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>Rating</b></td><td><b>Stapler used</b></td><td><b>Excellent</b></td><td><b>Adequate</b></td><td><b>Poor</b></td><td><b>P Value</b></td></tr></thead><tbody><tr><td rowspan=\"2\">Ease of placement in the pelvis</td><td>RR</td><td>34 (71%)</td><td>8 (17%)</td><td>6 (13%)</td><td rowspan=... | <table><thead><tr><td><b>Rating</b></td><td><b>Stapler used</b></td><td><b>Excellent</b></td><td><b>Adequate</b></td><td><b>Poor</b></td><td><b>P Value</b></td></tr></thead><tbody><tr><td rowspan="2">Ease of placement in the pelvis</td><td>RR</td><td>34 (71%)</td><td>8 (17%)</td><td>6 (13%)</td><td rowspan="2">NS</td><... | [{"cell": "<b>Rating</b>", "bbox": [1, 4, 25, 13]}, {"cell": "<b>Stapler used</b>", "bbox": [67, 4, 93, 22]}, {"cell": "<b>Excellent</b>", "bbox": [100, 4, 133, 13]}, {"cell": "<b>Adequate</b>", "bbox": [137, 4, 173, 13]}, {"cell": "<b>Poor</b>", "bbox": [181, 4, 200, 13]}, {"cell": "<b>P Value</b>", "bbox": [208, 4, 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>Model</b></td><td><b>Root mean square difference</b></td><td><b>Absolute difference mean</b></td></tr></thead><tbody><tr><td>Developed model</td><td>0.0032</td><td>[EMPTY_CELL]</td></tr><tr><td>Mike21C model</td><td>0.0039</td><td>[EMPTY_CELL]</td></tr></tbody></table>", "cells": [{"c... | <table><thead><tr><td><b>Model</b></td><td><b>Root mean square difference</b></td><td><b>Absolute difference mean</b></td></tr></thead><tbody><tr><td>Developed model</td><td>0.0032</td><td>[EMPTY_CELL]</td></tr><tr><td>Mike21C model</td><td>0.0039</td><td>[EMPTY_CELL]</td></tr></tbody></table> | [{"cell": "<b>Model</b>", "bbox": [1, 4, 25, 14]}, {"cell": "<b>Root mean square difference</b>", "bbox": [115, 4, 216, 14]}, {"cell": "<b>Absolute difference mean</b>", "bbox": [271, 4, 362, 14]}, {"cell": "Developed model", "bbox": [1, 22, 60, 32]}, {"cell": "0.0032", "bbox": [115, 22, 138, 32]}, {"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><b>Property</b></td><td><b>Characteristic</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td rowspan=\"2\">Database</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Test base</td><td>[EMPTY_CELL]</td></tr><tr><td>Architecture</td><td colspan=\"2\">[EMPTY_CELL]</td></tr><t... | <table><thead><tr><td><b>Property</b></td><td><b>Characteristic</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td rowspan="2">Database</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Test base</td><td>[EMPTY_CELL]</td></tr><tr><td>Architecture</td><td colspan="2">[EMPTY_CELL]</td></tr><tr><td>Activati... | [{"cell": "<b>Property</b>", "bbox": [6, 4, 51, 19]}, {"cell": "<b>Characteristic</b>", "bbox": [140, 4, 209, 19]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "Database", "bbox": [6, 18, 49, 35]}, {"cell": "[EMPTY_CELL]", "bbox": [140, 18, 202, 35]}, {"cell": "[EMPTY_CELL]", "bbox": [293, 18, 312, 35]}, {"cell": "T... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Type</b></td><td><b>Groups Based on</b></td><td><b>Example</b></td></tr></thead><tbody><tr><td>Physical</td><td>physical structure of building</td><td>[EMPTY_CELL]</td></tr><tr><td>Logical</td><td>similarity or functionality</td><td>[EMPTY_CELL]</td></tr><tr><td>Application</td><td>ap... | <table><thead><tr><td><b>Type</b></td><td><b>Groups Based on</b></td><td><b>Example</b></td></tr></thead><tbody><tr><td>Physical</td><td>physical structure of building</td><td>[EMPTY_CELL]</td></tr><tr><td>Logical</td><td>similarity or functionality</td><td>[EMPTY_CELL]</td></tr><tr><td>Application</td><td>application ... | [{"cell": "<b>Type</b>", "bbox": [27, 5, 49, 16]}, {"cell": "<b>Groups Based on</b>", "bbox": [102, 5, 175, 16]}, {"cell": "<b>Example</b>", "bbox": [291, 5, 329, 16]}, {"cell": "Physical", "bbox": [20, 21, 55, 32]}, {"cell": "physical structure of building", "bbox": [79, 21, 198, 32]}, {"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>Change in Measure</b></td><td><b>MID-1: PASI Improvement 25–49%</b></td><td><b>MID-2: PASI Improvement 50–74%</b></td><td><b>MID-3: Difference Between Non-Responders (n = 34) and Minimal Responders (n = 41) on PGA</b></td><td><b>SEM</b></td><td><b>0.5 SD</b></td></tr></thead><tbody><t... | <table><thead><tr><td><b>Change in Measure</b></td><td><b>MID-1: PASI Improvement 25–49%</b></td><td><b>MID-2: PASI Improvement 50–74%</b></td><td><b>MID-3: Difference Between Non-Responders (n = 34) and Minimal Responders (n = 41) on PGA</b></td><td><b>SEM</b></td><td><b>0.5 SD</b></td></tr></thead><tbody><tr><td>[EMP... | [{"cell": "<b>Change in Measure</b>", "bbox": [4, 5, 80, 14]}, {"cell": "<b>MID-1: PASI Improvement 25–49%</b>", "bbox": [129, 5, 215, 23]}, {"cell": "<b>MID-2: PASI Improvement 50–74%</b>", "bbox": [229, 5, 315, 23]}, {"cell": "<b>MID-3: Difference Between Non-Responders (n = 34) and Minimal Responders (n = 41) on PGA... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\"2\">[EMPTY_CELL]</td><td colspan=\"2\"><b>Adolescents</b></td><td colspan=\"2\"><b>Young adults</b></td><td colspan=\"2\"><b>Middle-aged adults</b></td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\"2\"><b>Group</b></td><td><b><i>M</i></b></td><td><b><i>SD</i>... | <table><thead><tr><td>[EMPTY_CELL]</td><td colspan="2">[EMPTY_CELL]</td><td colspan="2"><b>Adolescents</b></td><td colspan="2"><b>Young adults</b></td><td colspan="2"><b>Middle-aged adults</b></td></tr><tr><td>[EMPTY_CELL]</td><td colspan="2"><b>Group</b></td><td><b><i>M</i></b></td><td><b><i>SD</i></b></td><td><b><i>M... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Adolescents</b>", "bbox": [237, 6, 280, 15]}, {"cell": "<b>Young adults</b>", "bbox": [321, 6, 366, 15]}, {"cell": "<b>Middle-aged adults</b>", "bbox": [416, 6, 482, 15]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Group</... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in 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>F<i>cox1</i></b></td><td><b>F<i>cox2</i></b></td><td><b>M<i>cox1</i></b></td><td><b>M<i>cox2</i></b></td></tr></thead><tbody><tr><td><i>Actinonaias ligamentina</i></td><td>EF033263</td><td>EF033283</td><td>EF033300</td><td>EF033320</td></tr><tr><td><i>Amblema pl... | <table><thead><tr><td><b>Species</b></td><td><b>F<i>cox1</i></b></td><td><b>F<i>cox2</i></b></td><td><b>M<i>cox1</i></b></td><td><b>M<i>cox2</i></b></td></tr></thead><tbody><tr><td><i>Actinonaias ligamentina</i></td><td>EF033263</td><td>EF033283</td><td>EF033300</td><td>EF033320</td></tr><tr><td><i>Amblema plicata</i><... | [{"cell": "<b>Species</b>", "bbox": [4, 5, 31, 14]}, {"cell": "<b>F<i>cox1</i></b>", "bbox": [179, 5, 200, 14]}, {"cell": "<b>F<i>cox2</i></b>", "bbox": [260, 5, 281, 14]}, {"cell": "<b>M<i>cox1</i></b>", "bbox": [341, 5, 364, 14]}, {"cell": "<b>M<i>cox2</i></b>", "bbox": [422, 5, 445, 14]}, {"cell": "<i>Actinonaias li... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td colspan=\"3\">[EMPTY_CELL]</td><td colspan=\"2\"><b>GVS</b></td><td colspan=\"2\"><b>MVS</b></td><td colspan=\"2\"><b>VIB</b></td></tr><tr><td colspan=\"3\">[EMPTY_CELL]</td><td><b>R+</b></td><td><b>L+</b></td><td><b>CW</b></td><td><b>CCW</b></td><td><b>TS</b></td><td><b>TA</b></td></tr>... | <table><thead><tr><td colspan="3">[EMPTY_CELL]</td><td colspan="2"><b>GVS</b></td><td colspan="2"><b>MVS</b></td><td colspan="2"><b>VIB</b></td></tr><tr><td colspan="3">[EMPTY_CELL]</td><td><b>R+</b></td><td><b>L+</b></td><td><b>CW</b></td><td><b>CCW</b></td><td><b>TS</b></td><td><b>TA</b></td></tr></thead><tbody><tr><... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>GVS</b>", "bbox": [233, 7, 249, 14]}, {"cell": "<b>MVS</b>", "bbox": [345, 7, 362, 14]}, {"cell": "<b>VIB</b>", "bbox": [460, 7, 473, 14]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>R+</b>", "bbox": [209, 24, 221, 31]}, {"cell": "<b>L+</b>", "bbox": [265, 24,... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in 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>Description</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>LLEXP</td><td>Log of Life expectancy</td><td>World Development Indicator</td></tr><tr><td>LSECER</td><td>Log of Secondary school enrolment rate per population per year. It was used to proxy li... | <table><thead><tr><td><b>Variable</b></td><td><b>Description</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>LLEXP</td><td>Log of Life expectancy</td><td>World Development Indicator</td></tr><tr><td>LSECER</td><td>Log of Secondary school enrolment rate per population per year. It was used to proxy literacy rat... | [{"cell": "<b>Variable</b>", "bbox": [1, 4, 31, 13]}, {"cell": "<b>Description</b>", "bbox": [35, 4, 76, 13]}, {"cell": "[EMPTY_CELL]", "bbox": [281, 4, 310, 13]}, {"cell": "LLEXP", "bbox": [1, 17, 22, 27]}, {"cell": "Log of Life expectancy", "bbox": [35, 17, 110, 27]}, {"cell": "World Development Indicator", "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>Evaluation Criteria</b></td><td><b>Scale</b></td><td><b>Reasoning</b></td></tr></thead><tbody><tr><td>Reliability</td><td>A little</td><td>Releases well, but will require training to apply quickly</td></tr><tr><td>Functionality</td><td>A little</td><td>Functions well, but needs to be ... | <table><thead><tr><td><b>Evaluation Criteria</b></td><td><b>Scale</b></td><td><b>Reasoning</b></td></tr></thead><tbody><tr><td>Reliability</td><td>A little</td><td>Releases well, but will require training to apply quickly</td></tr><tr><td>Functionality</td><td>A little</td><td>Functions well, but needs to be tested in ... | [{"cell": "<b>Evaluation Criteria</b>", "bbox": [6, 5, 86, 16]}, {"cell": "<b>Scale</b>", "bbox": [124, 5, 148, 16]}, {"cell": "<b>Reasoning</b>", "bbox": [279, 5, 324, 16]}, {"cell": "Reliability", "bbox": [25, 21, 68, 32]}, {"cell": "A little", "bbox": [122, 21, 151, 32]}, {"cell": "Releases well, but will require tr... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td rowspan=\"2\"><b>Run Order</b></td><td colspan=\"3\"><b>Coded Levels</b></td><td colspan=\"2\"><b>Y Response (PG Activity) (U/mL)</b></td></tr><tr><td><b>X<sub>1</sub></b></td><td><b>X<sub>2</sub></b></td><td><b>X<sub>3</sub></b></td><td><b>Experimental Value</b></td><td><b>Predicted Val... | <table><thead><tr><td rowspan="2"><b>Run Order</b></td><td colspan="3"><b>Coded Levels</b></td><td colspan="2"><b>Y Response (PG Activity) (U/mL)</b></td></tr><tr><td><b>X<sub>1</sub></b></td><td><b>X<sub>2</sub></b></td><td><b>X<sub>3</sub></b></td><td><b>Experimental Value</b></td><td><b>Predicted Value</b></td></tr>... | [{"cell": "<b>Run Order</b>", "bbox": [8, 11, 54, 22]}, {"cell": "<b>Coded Levels</b>", "bbox": [121, 5, 179, 16]}, {"cell": "<b>Y Response (PG Activity) (U/mL)</b>", "bbox": [262, 5, 399, 16]}, {"cell": "<b>X<sub>1</sub></b>", "bbox": [84, 21, 96, 33]}, {"cell": "<b>X<sub>2</sub></b>", "bbox": [144, 21, 155, 33]}, {"c... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td><b>P1</b></td><td><b>N1</b></td><td><b>P2</b></td><td><b>N2</b></td><td><b>H-reflex</b></td></tr></thead><tbody><tr><td>T0</td><td>30(2.8)</td><td>40(2.8)</td><td>47(2.9)</td><td>[EMPTY_CELL]</td><td>30(1.5)</td></tr><tr><td>T1</td><td>31(3.6)</td><td>41(4.3)</td><td... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>P1</b></td><td><b>N1</b></td><td><b>P2</b></td><td><b>N2</b></td><td><b>H-reflex</b></td></tr></thead><tbody><tr><td>T0</td><td>30(2.8)</td><td>40(2.8)</td><td>47(2.9)</td><td>[EMPTY_CELL]</td><td>30(1.5)</td></tr><tr><td>T1</td><td>31(3.6)</td><td>41(4.3)</td><td>48(4.3)</... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>P1</b>", "bbox": [37, 4, 48, 12]}, {"cell": "<b>N1</b>", "bbox": [81, 4, 92, 12]}, {"cell": "<b>P2</b>", "bbox": [125, 4, 136, 12]}, {"cell": "<b>N2</b>", "bbox": [169, 4, 180, 12]}, {"cell": "<b>H-reflex</b>", "bbox": [207, 4, 236, 12]}, {"cell": "T0", "bbox": [1, 17... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>HL characteristics</b></td><td><b>OR (95 % CI)</b></td><td><b>p</b></td><td><b>Empirical power</b></td></tr></thead><tbody><tr><td>Profound/severe <i>vs</i> moderate/mild HL</td><td>3.1 (1.5 − 6.6)</td><td>0.003</td><td>0.9</td></tr><tr><td>Positive family history <i>vs</i> negative f... | <table><thead><tr><td><b>HL characteristics</b></td><td><b>OR (95 % CI)</b></td><td><b>p</b></td><td><b>Empirical power</b></td></tr></thead><tbody><tr><td>Profound/severe <i>vs</i> moderate/mild HL</td><td>3.1 (1.5 − 6.6)</td><td>0.003</td><td>0.9</td></tr><tr><td>Positive family history <i>vs</i> negative family hist... | [{"cell": "<b>HL characteristics</b>", "bbox": [1, 4, 58, 13]}, {"cell": "<b>OR (95 % CI)</b>", "bbox": [93, 4, 135, 13]}, {"cell": "<b>p</b>", "bbox": [151, 4, 157, 13]}, {"cell": "<b>Empirical power</b>", "bbox": [183, 4, 236, 13]}, {"cell": "Profound/severe <i>vs</i> moderate/mild HL", "bbox": [0, 17, 64, 36]}, {"ce... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td><b>ICPC-2-code known</b></td><td><b>ICPC-2-code unknown</b></td></tr></thead><tbody><tr><td>N</td><td>157 926</td><td>16 738</td></tr><tr><td>Mean Age (± SEM)</td><td>[EMPTY_CELL]</td><td>36.8 (26.5 ± 0.2)</td></tr><tr><td>Age unknown, N (% ± SEM)</td><td>2 361 (1.5 ... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>ICPC-2-code known</b></td><td><b>ICPC-2-code unknown</b></td></tr></thead><tbody><tr><td>N</td><td>157 926</td><td>16 738</td></tr><tr><td>Mean Age (± SEM)</td><td>[EMPTY_CELL]</td><td>36.8 (26.5 ± 0.2)</td></tr><tr><td>Age unknown, N (% ± SEM)</td><td>2 361 (1.5 ± <0.1)... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>ICPC-2-code known</b>", "bbox": [217, 4, 282, 13]}, {"cell": "<b>ICPC-2-code unknown</b>", "bbox": [411, 4, 484, 13]}, {"cell": "N", "bbox": [1, 17, 8, 27]}, {"cell": "157 926", "bbox": [217, 17, 244, 27]}, {"cell": "16 738", "bbox": [411, 17, 434, 27]}, {"cell": "Mea... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in 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>Organic Matter mg·kg<sup>−1</sup></b></td><td><b>Available N mg·kg<sup>−1</sup></b></td><td><b>Available P mg·kg<sup>−1</sup></b></td><td><b>Available K mg·kg<sup>−1</sup></b></td><td><b>Total As mg·kg<sup>−1</sup></b></td><td><b>pH</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td... | <table><thead><tr><td><b>Organic Matter mg·kg<sup>−1</sup></b></td><td><b>Available N mg·kg<sup>−1</sup></b></td><td><b>Available P mg·kg<sup>−1</sup></b></td><td><b>Available K mg·kg<sup>−1</sup></b></td><td><b>Total As mg·kg<sup>−1</sup></b></td><td><b>pH</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>97.85... | [{"cell": "<b>Organic Matter mg·kg<sup>−1</sup></b>", "bbox": [7, 7, 83, 33]}, {"cell": "<b>Available N mg·kg<sup>−1</sup></b>", "bbox": [92, 7, 150, 33]}, {"cell": "<b>Available P mg·kg<sup>−1</sup></b>", "bbox": [160, 7, 216, 33]}, {"cell": "<b>Available K mg·kg<sup>−1</sup></b>", "bbox": [231, 7, 289, 33]}, {"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>Baseline characteristics</b></td><td rowspan=\"2\"><b>Overall</b></td><td colspan=\"2\"><b>Center of provenience</b></td><td rowspan=\"2\"><b><i>p</i></b></td><td colspan=\"2\"><b>Setting of PR program</b></td><td rowspan=\"2\"><b><i>p</i></b></td></tr><tr><td><b>A<sup>a... | <table><thead><tr><td rowspan="2"><b>Baseline characteristics</b></td><td rowspan="2"><b>Overall</b></td><td colspan="2"><b>Center of provenience</b></td><td rowspan="2"><b><i>p</i></b></td><td colspan="2"><b>Setting of PR program</b></td><td rowspan="2"><b><i>p</i></b></td></tr><tr><td><b>A<sup>a</sup> (n. 20)</b></td... | [{"cell": "<b>Baseline characteristics</b>", "bbox": [1, 4, 75, 13]}, {"cell": "<b>Overall</b>", "bbox": [144, 4, 168, 13]}, {"cell": "<b>Center of provenience</b>", "bbox": [202, 4, 276, 13]}, {"cell": "<b><i>p</i></b>", "bbox": [318, 6, 324, 13]}, {"cell": "<b>Setting of PR program</b>", "bbox": [350, 4, 424, 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>[EMPTY_CELL]</td><td><b>Conventional </b></td><td><b>CHG </b></td><td><b><i>P</i> value<sup>†</sup></b></td></tr></thead><tbody><tr><td>Patients (<i>n</i>)</td><td>155</td><td>153</td><td>n/a</td></tr><tr><td>Sex (m/f)</td><td>70/79</td><td>75/71</td><td>ns</td></tr><tr><td>Age (mean, SD... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>Conventional </b></td><td><b>CHG </b></td><td><b><i>P</i> value<sup>†</sup></b></td></tr></thead><tbody><tr><td>Patients (<i>n</i>)</td><td>155</td><td>153</td><td>n/a</td></tr><tr><td>Sex (m/f)</td><td>70/79</td><td>75/71</td><td>ns</td></tr><tr><td>Age (mean, SD)</td><td>... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Conventional </b>", "bbox": [238, 4, 288, 15]}, {"cell": "<b>CHG </b>", "bbox": [367, 4, 388, 15]}, {"cell": "<b><i>P</i> value<sup>†</sup></b>", "bbox": [467, 0, 498, 16]}, {"cell": "Patients (<i>n</i>)", "bbox": [2, 14, 46, 29]}, {"cell": "155", "bbox": [256, 17, 26... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td colspan=\"2\"><b>Source</b></td><td colspan=\"3\"><b>Morphological characteristics</b></td><td colspan=\"3\"><b>Biomass</b></td><td colspan=\"3\"><b>Growth index</b></td></tr><tr><td colspan=\"2\">[EMPTY_CELL]</td><td><b>PH</b></td><td><b>LN</b></td><td><b>LA</b></td><td><b>AB</b></td><t... | <table><thead><tr><td colspan="2"><b>Source</b></td><td colspan="3"><b>Morphological characteristics</b></td><td colspan="3"><b>Biomass</b></td><td colspan="3"><b>Growth index</b></td></tr><tr><td colspan="2">[EMPTY_CELL]</td><td><b>PH</b></td><td><b>LN</b></td><td><b>LA</b></td><td><b>AB</b></td><td><b>BB</b></td><td>... | [{"cell": "<b>Source</b>", "bbox": [6, 6, 32, 15]}, {"cell": "<b>Morphological characteristics</b>", "bbox": [118, 6, 220, 15]}, {"cell": "<b>Biomass</b>", "bbox": [300, 6, 330, 15]}, {"cell": "<b>Growth index</b>", "bbox": [427, 6, 473, 15]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>PH</b>", "bbox": [111, 23... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in 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>Notch receptors</b></td><td><b>Clinical stages</b></td><td><b>Cases</b></td><td><b>HR</b></td><td><b>95% CI</b></td><td><b>P value</b></td></tr></thead><tbody><tr><td>Notch 1</td><td>I</td><td>577</td><td>[EMPTY_CELL]</td><td>(0.41 - 0.71)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_... | <table><thead><tr><td><b>Notch receptors</b></td><td><b>Clinical stages</b></td><td><b>Cases</b></td><td><b>HR</b></td><td><b>95% CI</b></td><td><b>P value</b></td></tr></thead><tbody><tr><td>Notch 1</td><td>I</td><td>577</td><td>[EMPTY_CELL]</td><td>(0.41 - 0.71)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td>... | [{"cell": "<b>Notch receptors</b>", "bbox": [4, 6, 73, 16]}, {"cell": "<b>Clinical stages</b>", "bbox": [82, 6, 145, 16]}, {"cell": "<b>Cases</b>", "bbox": [175, 6, 201, 16]}, {"cell": "<b>HR</b>", "bbox": [254, 6, 271, 16]}, {"cell": "<b>95% CI</b>", "bbox": [332, 6, 367, 16]}, {"cell": "<b>P value</b>", "bbox": [432,... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Number of cases</b></td><td><b>Mean age (SD)</b></td><td><b>Female (%)</b></td><td><b>Median survival (years)</b></td><td><b>Life expectancy (SE) (years)</b></td></tr></thead><tbody><tr><td><b>Cases with single specific disease</b></td><td>21,316</td><td>69 (15)</... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>Number of cases</b></td><td><b>Mean age (SD)</b></td><td><b>Female (%)</b></td><td><b>Median survival (years)</b></td><td><b>Life expectancy (SE) (years)</b></td></tr></thead><tbody><tr><td><b>Cases with single specific disease</b></td><td>21,316</td><td>69 (15)</td><td>38<... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Number of cases</b>", "bbox": [177, 4, 217, 22]}, {"cell": "<b>Mean age (SD)</b>", "bbox": [234, 4, 270, 22]}, {"cell": "<b>Female (%)</b>", "bbox": [284, 4, 311, 22]}, {"cell": "<b>Median survival (years)</b>", "bbox": [324, 4, 381, 22]}, {"cell": "<b>Life expectancy... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Gene symbol</b></td><td><b>Description</b></td><td><b>Mb location</b></td><td><b>LRS</b></td><td><b>SNP region</b></td></tr></thead><tbody><tr><td>Pi4k2b</td><td>Phospohatidylinositol 4-kinase type 2 beta</td><td>53.13</td><td>18.61*</td><td>Exons 1, 2 and 7</td></tr><tr><td>Lap3</td>... | <table><thead><tr><td><b>Gene symbol</b></td><td><b>Description</b></td><td><b>Mb location</b></td><td><b>LRS</b></td><td><b>SNP region</b></td></tr></thead><tbody><tr><td>Pi4k2b</td><td>Phospohatidylinositol 4-kinase type 2 beta</td><td>53.13</td><td>18.61*</td><td>Exons 1, 2 and 7</td></tr><tr><td>Lap3</td><td>Leucin... | [{"cell": "<b>Gene symbol</b>", "bbox": [1, 4, 48, 13]}, {"cell": "<b>Description</b>", "bbox": [55, 4, 97, 13]}, {"cell": "<b>Mb location</b>", "bbox": [270, 4, 314, 13]}, {"cell": "<b>LRS</b>", "bbox": [321, 4, 335, 13]}, {"cell": "<b>SNP region</b>", "bbox": [350, 4, 391, 13]}, {"cell": "Pi4k2b", "bbox": [1, 17, 23,... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in 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>Never</b></td><td><b>Rarely</b></td><td><b>Sometimes</b></td><td><b>Usually</b></td><td><b>Always</b></td></tr></thead><tbody><tr><td>In the last month, how often have you...</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>Never</b></td><td><b>Rarely</b></td><td><b>Sometimes</b></td><td><b>Usually</b></td><td><b>Always</b></td></tr></thead><tbody><tr><td>In the last month, how often have you...</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>Never</b>", "bbox": [287, 4, 309, 13]}, {"cell": "<b>Rarely</b>", "bbox": [324, 4, 347, 13]}, {"cell": "<b>Sometimes</b>", "bbox": [362, 4, 402, 13]}, {"cell": "<b>Usually</b>", "bbox": [416, 4, 444, 13]}, {"cell": "<b>Always</b>", "bbox": [458, 4, 484, 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 rowspan=\"3\"><b><i>N</i></b></td><td rowspan=\"3\"><b><i>t</i></b></td><td colspan=\"3\"><b>Specific regions</b></td><td colspan=\"3\"><b>Rest of the genome</b></td></tr><tr><td rowspan=\"2\"><b>OVE</b></td><td colspan=\"2\"><b>OVE<sub>_reg</sub></b></td><td rowspan=\"2\"><b>OVE</b></td... | <table><thead><tr><td rowspan="3"><b><i>N</i></b></td><td rowspan="3"><b><i>t</i></b></td><td colspan="3"><b>Specific regions</b></td><td colspan="3"><b>Rest of the genome</b></td></tr><tr><td rowspan="2"><b>OVE</b></td><td colspan="2"><b>OVE<sub>_reg</sub></b></td><td rowspan="2"><b>OVE</b></td><td colspan="2"><b>OVE<... | [{"cell": "<b><i>N</i></b>", "bbox": [1, 4, 8, 12]}, {"cell": "<b><i>t</i></b>", "bbox": [51, 4, 56, 12]}, {"cell": "<b>Specific regions</b>", "bbox": [98, 4, 155, 14]}, {"cell": "<b>Rest of the genome</b>", "bbox": [310, 4, 379, 14]}, {"cell": "<b>OVE</b>", "bbox": [98, 20, 115, 30]}, {"cell": "<b>OVE<sub>_reg</sub></... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in 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>Candidate Predictor</b></td><td><b>Associations Listed in SPC (<i>n</i> = 17 071)</b></td><td><b>Associations not Listed in SPC (<i>n</i> = 7955)</b></td></tr></thead><tbody><tr><td>Number of ICSRs per association (median / IQR)</td><td>5 (7)</td><td>4 (3)</td></tr><tr><td>ROR025 per ... | <table><thead><tr><td><b>Candidate Predictor</b></td><td><b>Associations Listed in SPC (<i>n</i> = 17 071)</b></td><td><b>Associations not Listed in SPC (<i>n</i> = 7955)</b></td></tr></thead><tbody><tr><td>Number of ICSRs per association (median / IQR)</td><td>5 (7)</td><td>4 (3)</td></tr><tr><td>ROR025 per associatio... | [{"cell": "<b>Candidate Predictor</b>", "bbox": [5, 4, 73, 13]}, {"cell": "<b>Associations Listed in SPC (<i>n</i> = 17 071)</b>", "bbox": [197, 4, 330, 13]}, {"cell": "<b>Associations not Listed in SPC (<i>n</i> = 7955)</b>", "bbox": [363, 4, 502, 13]}, {"cell": "Number of ICSRs per association (median / IQR)", "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>Name</b></td><td><b>Sequence 5'-3' (forward and reverse primer)</b></td><td><b>Product length</b></td><td><b>Primer nM</b></td><td><b>Mg<sup>2+ </sup>mM</b></td><td><b>Reference</b></td></tr></thead><tbody><tr><td>GAPDH* (NM_002046)</td><td>GAA GGT GAA GGT CGG AGT C</td><td>226</td><t... | <table><thead><tr><td><b>Name</b></td><td><b>Sequence 5'-3' (forward and reverse primer)</b></td><td><b>Product length</b></td><td><b>Primer nM</b></td><td><b>Mg<sup>2+ </sup>mM</b></td><td><b>Reference</b></td></tr></thead><tbody><tr><td>GAPDH* (NM_002046)</td><td>GAA GGT GAA GGT CGG AGT C</td><td>226</td><td>200</td>... | [{"cell": "<b>Name</b>", "bbox": [4, 4, 30, 14]}, {"cell": "<b>Sequence 5'-3' (forward and reverse primer)</b>", "bbox": [118, 4, 291, 14]}, {"cell": "<b>Product length</b>", "bbox": [297, 4, 357, 14]}, {"cell": "<b>Primer nM</b>", "bbox": [363, 4, 407, 14]}, {"cell": "<b>Mg<sup>2+ </sup>mM</b>", "bbox": [413, 4, 450, ... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in 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>LFC</b></td><td><b>Magn. +phase</b></td><td><b>Magn. only</b></td><td><b>Phase only</b></td></tr></thead><tbody><tr><td>Position</td><td>0.45 ± 0.15</td><td>0.53 ± 0.15</td><td>0.21 ± 0.16</td><td>0.46 ± 0.14</td></tr><tr><td>Velocity</td><td>0.41 ± 0.11</td><td>0... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>LFC</b></td><td><b>Magn. +phase</b></td><td><b>Magn. only</b></td><td><b>Phase only</b></td></tr></thead><tbody><tr><td>Position</td><td>0.45 ± 0.15</td><td>0.53 ± 0.15</td><td>0.21 ± 0.16</td><td>0.46 ± 0.14</td></tr><tr><td>Velocity</td><td>0.41 ± 0.11</td><td>0.54 ± 0.10... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>LFC</b>", "bbox": [50, 9, 66, 18]}, {"cell": "<b>Magn. +phase</b>", "bbox": [99, 9, 152, 18]}, {"cell": "<b>Magn. only</b>", "bbox": [159, 9, 201, 18]}, {"cell": "<b>Phase only</b>", "bbox": [208, 9, 249, 18]}, {"cell": "Position", "bbox": [1, 28, 29, 37]}, {"cell": "... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Phytochemicals</b></td><td><b><i>D. grandiflora</i> leaves extract</b></td><td><b>F-10</b></td></tr></thead><tbody><tr><td>Tannins</td><td>+ +</td><td>+</td></tr><tr><td>Alkaloids</td><td>+</td><td>-</td></tr><tr><td>Flavonoids</td><td>+</td><td>+</td></tr><tr><td>Saponins</td><td>+</... | <table><thead><tr><td><b>Phytochemicals</b></td><td><b><i>D. grandiflora</i> leaves extract</b></td><td><b>F-10</b></td></tr></thead><tbody><tr><td>Tannins</td><td>+ +</td><td>+</td></tr><tr><td>Alkaloids</td><td>+</td><td>-</td></tr><tr><td>Flavonoids</td><td>+</td><td>+</td></tr><tr><td>Saponins</td><td>+</td><td>+</... | [{"cell": "<b>Phytochemicals</b>", "bbox": [1, 4, 52, 13]}, {"cell": "<b><i>D. grandiflora</i> leaves extract</b>", "bbox": [92, 4, 181, 13]}, {"cell": "<b>F-10</b>", "bbox": [221, 4, 236, 13]}, {"cell": "Tannins", "bbox": [1, 17, 27, 27]}, {"cell": "+ +", "bbox": [92, 17, 105, 27]}, {"cell": "+", "bbox": [221, 17, 227... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in 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>Step</b></td><td><b>Procedure</b></td><td><b>Justification</b></td><td><b>Utilized data</b></td></tr></thead><tbody><tr><td>1</td><td>Establish a null distribution</td><td>A null distribution affords an estimation of measurement noise originated from biological sample preparations and... | <table><thead><tr><td><b>Step</b></td><td><b>Procedure</b></td><td><b>Justification</b></td><td><b>Utilized data</b></td></tr></thead><tbody><tr><td>1</td><td>Establish a null distribution</td><td>A null distribution affords an estimation of measurement noise originated from biological sample preparations and analytica... | [{"cell": "<b>Step</b>", "bbox": [2, 4, 20, 15]}, {"cell": "<b>Procedure</b>", "bbox": [56, 4, 95, 15]}, {"cell": "<b>Justification</b>", "bbox": [153, 4, 198, 15]}, {"cell": "<b>Utilized data</b>", "bbox": [390, 4, 438, 15]}, {"cell": "1", "bbox": [2, 38, 9, 49]}, {"cell": "Establish a null distribution", "bbox": [56,... | You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell. | |
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.
Please combine the final results into a single JSON object and return it in the following format:... | {"html": "<table><thead><tr><td><b>Variables</b></td><td><b>B</b></td><td><b>SE</b></td><td><b>Wald</b></td><td><b>OR(95% CI)</b></td><td><b>p-value</b></td></tr></thead><tbody><tr><td colspan=\"6\">Level of education</td></tr><tr><td>Tertiary</td><td>1.828</td><td>0.672</td><td>7.399</td><td>6.2 (1.7–23.2)</td><td>0.0... | <table><thead><tr><td><b>Variables</b></td><td><b>B</b></td><td><b>SE</b></td><td><b>Wald</b></td><td><b>OR(95% CI)</b></td><td><b>p-value</b></td></tr></thead><tbody><tr><td colspan="6">Level of education</td></tr><tr><td>Tertiary</td><td>1.828</td><td>0.672</td><td>7.399</td><td>6.2 (1.7–23.2)</td><td>0.007</td></tr>... | [{"cell": "<b>Variables</b>", "bbox": [1, 4, 34, 13]}, {"cell": "<b>B</b>", "bbox": [118, 4, 124, 13]}, {"cell": "<b>SE</b>", "bbox": [195, 4, 205, 13]}, {"cell": "<b>Wald</b>", "bbox": [267, 4, 286, 13]}, {"cell": "<b>OR(95% CI)</b>", "bbox": [360, 4, 401, 13]}, {"cell": "<b>p-value</b>", "bbox": [457, 4, 484, 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>Characteristic (%)</b></td><td><b>Overall (<i>N</i>=72)</b></td><td><b>Inactive (<i>n</i>=36)</b></td><td><b>Active (<i>n</i>=36)</b></td></tr></thead><tbody><tr><td>Female</td><td>56.3</td><td>60.0</td><td>52.8</td></tr><tr><td>Age</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[E... | <table><thead><tr><td><b>Characteristic (%)</b></td><td><b>Overall (<i>N</i>=72)</b></td><td><b>Inactive (<i>n</i>=36)</b></td><td><b>Active (<i>n</i>=36)</b></td></tr></thead><tbody><tr><td>Female</td><td>56.3</td><td>60.0</td><td>52.8</td></tr><tr><td>Age</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]... | [{"cell": "<b>Characteristic (%)</b>", "bbox": [1, 20, 67, 30]}, {"cell": "<b>Overall (<i>N</i>=72)</b>", "bbox": [389, 8, 418, 30]}, {"cell": "<b>Inactive (<i>n</i>=36)</b>", "bbox": [424, 8, 453, 30]}, {"cell": "<b>Active (<i>n</i>=36)</b>", "bbox": [458, 8, 486, 30]}, {"cell": "Female", "bbox": [1, 40, 29, 50]}, {"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 rowspan=\"2\"><b>Genotype/Allele</b></td><td><b>Lung cancer (<i>n</i> = 246)</b></td><td><b>Controls (<i>n</i> = 250)</b></td><td rowspan=\"2\"><b>χ<sup>2</sup></b></td><td rowspan=\"2\"><b>OR (95 % CI)</b></td><td rowspan=\"2\"><b><i>p</i> value</b></td></tr><tr><td><b><i>N</i> (%)</b><... | <table><thead><tr><td rowspan="2"><b>Genotype/Allele</b></td><td><b>Lung cancer (<i>n</i> = 246)</b></td><td><b>Controls (<i>n</i> = 250)</b></td><td rowspan="2"><b>χ<sup>2</sup></b></td><td rowspan="2"><b>OR (95 % CI)</b></td><td rowspan="2"><b><i>p</i> value</b></td></tr><tr><td><b><i>N</i> (%)</b></td><td><b><i>N</i... | [{"cell": "<b>Genotype/Allele</b>", "bbox": [1, 4, 59, 14]}, {"cell": "<b>Lung cancer (<i>n</i> = 246)</b>", "bbox": [97, 4, 174, 14]}, {"cell": "<b>Controls (<i>n</i> = 250)</b>", "bbox": [213, 4, 277, 14]}, {"cell": "<b>χ<sup>2</sup></b>", "bbox": [315, 3, 324, 14]}, {"cell": "<b>OR (95 % CI)</b>", "bbox": [368, 4, 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>[EMPTY_CELL]</td><td><b>f(%)</b></td></tr></thead><tbody><tr><td>Region</td><td>[EMPTY_CELL]</td></tr><tr><td> Eastern Canada – New Brunswick, Nova Scotia, Newfoundland, Prince Edward Island</td><td>22 (8.5)</td></tr><tr><td> Quebec</td><td>72 (27.9)</td></tr><tr><td> Ontario</td><td>125... | <table><thead><tr><td>[EMPTY_CELL]</td><td><b>f(%)</b></td></tr></thead><tbody><tr><td>Region</td><td>[EMPTY_CELL]</td></tr><tr><td> Eastern Canada – New Brunswick, Nova Scotia, Newfoundland, Prince Edward Island</td><td>22 (8.5)</td></tr><tr><td> Quebec</td><td>72 (27.9)</td></tr><tr><td> Ontario</td><td>125 (48.4)</t... | [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "<b>f(%)</b>", "bbox": [461, 5, 477, 14]}, {"cell": "Region", "bbox": [4, 27, 29, 36]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": " Eastern Canada – New Brunswick, Nova Scotia, Newfoundland, Prince Edward Island", "bbox": [14, 37, 302, 47]}, {"cell": "22 (8.5)", "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. |
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